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https://venturebeat.com/2020/06/30/ibm-uses-ai-to-enhance-old-wimbledon-tennis-footage-for-the-digital-era/ | 2020-06-30T00:00:00 | en | IBM uses AI to enhance old Wimbledon tennis footage for the digital era | VentureBeat |
IBM uses AI to enhance old Wimbledon tennis footage for the digital era | VentureBeat
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AI
IBM uses AI to enhance old Wimbledon tennis footage for the digital era
Paul Sawers@psawers June 30, 2020 5:44 AM
TV monitors inside the broadcast center at Wimbledon on July 3, 2009. Image Credit: Paul Gilham/Getty Images
Along with just about every other major sporting event, the Wimbledon grand slam tennis tournament was canceled this year due to the COVID-19 crisis. However, organizers at the All England Lawn Tennis & Croquet Club (AELTC) have tapped long-time partner IBM to create a virtual two-week event consisting of classic matches dating back more than 40 years.
To go beyond just bringing old matches to modern digital platforms, IBM and AELTC have leveraged AI techniques to revitalize old footage and appeal to modern viewers. With matches stretching as far back as 1977, a wide range of video quality is to be expected, and older recordings tend to have an issue with visual “noise.”
“To the naked eye, this noise is like static in the image, with color pixels dancing,” IBM executive Sam Seddon told VentureBeat. “Along with the movement within the image, this is seen as ‘blurring’ and lack of color sharpness. For modern audiences, this historic content may be less appealing because it is a lower quality than what they have become used to.”
Remastering old footage is hardly a new concept, of course. But while IBM initially applied more traditional video enhancement techniques to the footage, it has also turned to AI techniques like Super Resolution and Deblurring to bring greater clarity to some of the older matches. This effort involved creating custom AI models built on IBM Cloud, using over 10,000 images from more recent Wimbledon tournaments. To train the system, IBM created an alternative version of each image, one that looked old and fuzzy.
VB Transform 2020 Online - July 15-17. Join leading AI executives: Register for the free livestream.“In this way, the system learned the differences been new and ‘old’ and subsequently how to reverse the process to partially modernize old color imagery,” Seddon continued. “In many ways, Wimbledon is timeless, and modern imagery was the perfect input to inform the AI model what Wimbledon content ‘should’ look like.”
This before (left) and after (right) clip highlights the level of improvement:
Wimbledon was already using various AI-powered smarts and has been ramping up its use of IBM’s Watson in recent years. For example, Watson helps broadcasters capture the best parts from each match and automatically package them into a highlights reel within minutes of the match ending. To do this, it listens to things like crowd cheers to identify big points and ball-strike noises that could signal long rallies, as well as observing the players’ gestures and reactions. This saves human curators from having to manually sift through matches to pull out the best moments.
IBM said it is applying similar AI sound analysis to this year’s “event” to automatically find the most exciting moments in historical matches. “Fans will now have a new way to navigate the greatest moments at Wimbledon,” Seddon added.
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| IBM uses AI to enhance old Wimbledon tennis footage for the digital era | IBM uses AI enhance old Wimbledon tennis footage digital era VentureBeat VentureBeat Home Channels GamesBeat AI ARVR Big Data Business Cloud Commerce Dev Enterprise Entrepreneur Esports Marketing Media Mobile PC Gaming Security Social Transportation Got news tip? Press Releases Webinars Advertise VB Lab Guest Posts Events Upcoming Transform GB Summit Media Partner Got news tip? Press Releases Webinars Advertise VB Lab Guest Posts Newsletters Special Issue: AI Surveillance Deals Icon Helpful Links Got news tip? Press Releases VB Lab Webinars Privacy Advertise Careers Guest Posts Follow VentureBeat Facebook Follow VentureBeat Twitter Follow VentureBeat Instagram Follow VentureBeat LinkedIn Follow VentureBeat Flipboard Follow VentureBeat RSS Follow VentureBeat Facebook Follow VentureBeat Twitter Follow VentureBeat Instagram Follow VentureBeat LinkedIn Follow VentureBeat Flipboard Follow VentureBeat RSS Log Out AI IBM uses AI enhance old Wimbledon tennis footage digital era Paul Sawers June 30, 2020 5:44 AM TV monitors inside broadcast center Wimbledon July 3, 2009. Image Credit: Paul GilhamGetty Images Along major sporting event, Wimbledon grand slam tennis tournament canceled year COVID19 crisis. However, organizers All England Lawn Tennis Croquet Club AELTC tapped longtime partner IBM create virtual twoweek event consisting classic matches dating 40 years. To bringing old matches modern digital platforms, IBM AELTC leveraged AI techniques revitalize old footage appeal modern viewers. With matches stretching far 1977, wide range video quality expected, older recordings tend issue visual noise. To naked eye, noise like static image, color pixels dancing, IBM executive Sam Seddon told VentureBeat. Along movement image, seen blurring lack color sharpness. For modern audiences, historic content appealing lower quality to. Remastering old footage hardly new concept, course. But IBM initially applied traditional video enhancement techniques footage, turned AI techniques like Super Resolution Deblurring bring greater clarity older matches. This effort involved creating custom AI models built IBM Cloud, 10,000 images recent Wimbledon tournaments. To train system, IBM created alternative version image, looked old fuzzy. VB Transform 2020 Online July 1517. Join leading AI executives: free livestream.In way, learned differences new old subsequently reverse process partially modernize old color imagery, Seddon continued. In ways, Wimbledon timeless, modern imagery perfect input inform AI model Wimbledon content look like. This left right clip highlights level improvement: Wimbledon AIpowered smarts ramping use IBMs Watson recent years. For example, Watson helps broadcasters capture best parts match automatically package highlights reel minutes match ending. To this, listens things like crowd cheers identify big points ballstrike noises signal long rallies, observing players gestures reactions. This saves human curators manually sift matches pull best moments. IBM said applying similar AI sound analysis years event automatically exciting moments historical matches. Fans new way navigate greatest moments Wimbledon, Seddon added. Boost productivity 9 hot deals entrepreneurs You score lifetime cloud backup 50 right This Microsoft Excel training bundle 34 right Store 5TB data cloud life 80 These thinking skills courses mind major boost Learn double reading speed improve memory training This 50 bundle help master stock market day trading 9 deals data browsing safe This smart oven making cooking home easier View deals store VB Transform The AI event business leaders Hosted Online July 15 17 Learn More UPCOMING EVENTS VB Transform July 1517 The AI event year enterprise executives, brought todays leading AI publisher. VentureBeat Home Follow Facebook Follow Twitter Follow Instagram Follow LinkedIn Follow Flipboard Follow RSS About Careers Advertise 2020 VentureBeat. . | 2,020 | [
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https://www.techradar.com/uk/news/alibaba-cloud-offers-ai-platform-to-support-coronavirus-medical-research | 2020-03-19T00:00:00 | en | Alibaba Cloud offers AI platform to support coronavirus medical research | TechRadar |
Alibaba Cloud offers AI platform to support coronavirus medical research | TechRadar
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Alibaba Cloud offers AI platform to support coronavirus medical research
By
Anthony Spadafora
19 March 2020
Medical professionals can use Alibaba's AI-powered tools and data to combat the coronavirus
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(Image credit: Shutterstock)
Alibaba Cloud is now offering its AI-powered technologies to medical professionals in an effort to help provide data insights on the coronavirus while also speeding up diagnosis.The cloud computing arm of the Chinese tech giant hopes that it can support medical professionals worldwide in fighting the virus by providing them with a suite of applications developed by its cloud experts, researchers from its subsidiary DAMO Academy and engineers from its communications platform DingTalk. According to Alibaba, the AI-powered applications were developed using insights and lessons learned during the initial outbreak of the coronavirus.While DingTalk was used by over 120m Chinese students to attend live-streamed online classes, its team also launched DingTalk's International Medical Expert Communication Platform on Alibaba Cloud which provides free communication for medical workers all over the world.Alibaba unveils its own cloud AI chipBeware these new coronavirus email scamsAlibaba Cloud brings its cloud expertise to the WestThrough video conferencing and real-time AI translation into 11 languages, Alibaba Cloud is also trying to build a virtual community where doctors from China can share their experiences and answer questions from their peers around the world.DAMO Academy applicationsAlibaba's research arm DAMO Academy also revealed that it would make three applications available as a free trial to medical professionals and researchers.The firm's CT Image Analytics Solution can help improve testing accuracy as well as detection speed when diagnosing Covid-19. By running deep-learning algorithms trained on data from China, the AI model has the ability to predict the probability of different pneumonia types. The system is also able to compute the proportion of lesions and affected volume ratio to the entire lungs by using lung segmentation methods.DAMO Academy's Epidemic Prediction Solution is able to map epidemic characteristics of the coronavirus in a particular region by generating estimates of size, peak time and duration of the epidemic. It can also estimate how quickly the coronavirus will spread under three conditions: optimistic, neutral and pessimistic.The firm's Genome Sequencing for Coronavirus Diagnostic Solution provides further analytics on the coronavirus including viral genetic data screening, protein structure analysis and diagnostic reporting. The AI-powered platform is said to be able to diagnose new coronavirus cases within 14 hours.Having dealt with the cornavirus at the beginning of the outbreak, it's great to see that Alibaba is doing its part to share its experience and knowledge with medical professionals around the world.We've also highlighted the best workstationsVia ZDNet
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| Alibaba Cloud offers AI platform to support coronavirus medical research | Alibaba Cloud offers AI platform support coronavirus medical research TechRadar Skip main content TechRadar pro IT insights business RSS News Reviews Insights Web hosting VPN Security More TechRadar 5G Radar Best VPN Best Web Hosting Best Cloud Storage Best Printer Mac Pro 2020 Mobile Industry TechRadar supported audience. When purchase links site, earn affiliate commission. Learn Home News Alibaba Cloud offers AI platform support coronavirus medical research By Anthony Spadafora 19 March 2020 Medical professionals use Alibabas AIpowered tools data combat coronavirus Shares Image credit: Shutterstock Alibaba Cloud offering AIpowered technologies medical professionals effort help provide data insights coronavirus speeding diagnosis.The cloud computing arm Chinese tech giant hopes support medical professionals worldwide fighting virus providing suite applications developed cloud experts, researchers subsidiary DAMO Academy engineers communications platform DingTalk. According Alibaba, AIpowered applications developed insights lessons learned initial outbreak coronavirus.While DingTalk 120m Chinese students attend livestreamed online classes, team launched DingTalks International Medical Expert Communication Platform Alibaba Cloud provides free communication medical workers world.Alibaba unveils cloud AI chipBeware new coronavirus email scamsAlibaba Cloud brings cloud expertise WestThrough video conferencing realtime AI translation 11 languages, Alibaba Cloud trying build virtual community doctors China share experiences answer questions peers world.DAMO Academy applicationsAlibabas research arm DAMO Academy revealed applications available free trial medical professionals researchers.The firms CT Image Analytics Solution help improve testing accuracy detection speed diagnosing Covid19. By running deeplearning algorithms trained data China, AI model ability predict probability different pneumonia types. The able compute proportion lesions affected volume ratio entire lungs lung segmentation methods.DAMO Academys Epidemic Prediction Solution able map epidemic characteristics coronavirus particular region generating estimates size, peak time duration epidemic. It estimate quickly coronavirus spread conditions: optimistic, neutral pessimistic.The firms Genome Sequencing Coronavirus Diagnostic Solution provides analytics coronavirus including viral genetic data screening, protein structure analysis diagnostic reporting. The AIpowered platform said able diagnose new coronavirus cases 14 hours.Having dealt cornavirus beginning outbreak, great Alibaba share experience knowledge medical professionals world.Weve highlighted best workstationsVia ZDNet See Computing news Tech deals, prizes latest news Get best tech deals, reviews, product advice, competitions, unmissable tech news Thank signing TechRadar. You receive verification email shortly. There problem. Please refesh try No spam, promise. You unsubscribe time share details permission. Most Popular Most Shared 1Internet access hangs thread hundreds millions 2Windows 10 biggest change 3Windows 10 falling apart great time fall love Chromebook 4Real Madrid vs Barcelona live stream: watch El Clasico 2020 online 5Facebook dark mode: coming, check early 1Sonys PS5 controller brilliant smartphonelike feature 2Is Intel killing worlds best gaming processor? 3Windows 10 new Start menu Microsoft kills useless features 4Reti 5G e salute, la paura ferma lo sviluppo Svizzera 5Samsung Galaxy S20 sales slow start why? TechRadar Future plc, international media group leading digital publisher. Visit corporate site. Terms conditions Privacy policy policy Advertise Web notifications Future Publishing Limited Quay House, The Ambury, Bath BA1 1UA. . England Wales company registration number 2008885. | 2,020 | [
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https://www.devdiscourse.com/article/science-environment/836943-brain-magnetic-resonance-imaging-enhanced-through-artificial-intelligence-study | 2020-01-19T00:00:00 | en | Brain magnetic resonance imaging enhanced through artificial intelligence: Study |
Brain magnetic resonance imaging enhanced through artificial intelligence: Study
Select EditionPacificSouth AsiaEast and South East AsiaEurope and Central AsiaCentral AfricaEast AfricaSouthern Africa West AfricaMiddle East and North AfricaNorth America Latin America and Caribbean HOME NEWS RESEARCH LIVE DISCOURSE BLOG / OPINION SUBMIT PRESS RELEASE About Career Advertisement Team Partnership Knowledge Partnership Media Partnership Contact Us NEWS RESEARCH LIVE DISCOURSE BLOG / OPINION SUBMIT PRESS RELEASE Agro-Forestry Art & Culture Technology Economy Education Energy Politics Law & Governance Health Science Social Sports Transport Urban Development WASH
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Brain magnetic resonance imaging enhanced through artificial intelligence: Study
Researchers have designed an unprecedented method that is capable of improving brain images obtained through magnetic resonance imaging using artificial intelligence.
ANI |
Washington DC |
Updated: 19-01-2020 09:02 IST
|
Created: 19-01-2020 09:02 IST
Representative image . Image Credit: ANI
Researchers have designed an unprecedented method that is capable of improving brain images obtained through magnetic resonance imaging using artificial intelligence. This new model manages to increase image quality from low resolution to high resolution without distorting the patients' brain structures, using a deep learning artificial neural network -a model that is based on the functioning of the human brain- that "learns" this process. The study was published in the scientific journal Neurocomputing.
"Deep learning is based on very large neural networks, and so is its capacity to learn, reaching the complexity and abstraction of a brain", explains researcher Karl Thurnhofer, main author of this study, who adds that thanks to this technique, the activity of identification can be performed alone, without supervision; an identification effort that the human eye would not be capable of doing. This study represents a scientific breakthrough, since the algorithm developed by the UMA yields more accurate results in less time, with clear benefits for patients. "So far, the acquisition of quality brain images has depended on the time the patient remained immobilised in the scanner; with our method, image processing is carried out later on the computer", explains Thurnhofer.
According to the experts, the results will enable specialists to identify brain-related pathologies, like physical injuries, cancer or language disorders, among others, with increased accuracy and definition, because image details are thinner, thus avoiding the performance of additional tests when diagnoses are uncertain. Nowadays, the ICAI Group of the UMA, led by Professor Ezequiel Lopez, co-author of this study, is a benchmark for neurocomputing, computational learning, and artificial intelligence. The Professors of the Department of Computer Science and Programming Languages Enrique Dominguez and Rafael Luque, as well as researcher Nuria Roe-Vellve, have also participated in this study. (ANI)
(This story has not been edited by Devdiscourse staff and is auto-generated from a syndicated feed.) Download The Devdiscourse News App for Latest News.
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| Brain magnetic resonance imaging enhanced through artificial intelligence: Study | Brain magnetic resonance imaging enhanced artificial intelligence: Study Select EditionPacificSouth AsiaEast South East AsiaEurope Central AsiaCentral AfricaEast AfricaSouthern Africa West AfricaMiddle East North AfricaNorth America Latin America Caribbean HOME NEWS RESEARCH LIVE DISCOURSE BLOG OPINION SUBMIT PRESS RELEASE About Career Advertisement Team Partnership Knowledge Partnership Media Partnership Us NEWS RESEARCH LIVE DISCOURSE BLOG OPINION SUBMIT PRESS RELEASE AgroForestry Art Culture Technology Economy Education Energy Politics Law Governance Health Science Social Sports Transport Urban Development WASH Home News Science Environment Article Brain magnetic resonance imaging enhanced artificial intelligence: Study Researchers designed unprecedented method capable improving brain images obtained magnetic resonance imaging artificial intelligence. ANI Washington DC Updated: 19012020 09:02 IST Created: 19012020 09:02 IST Representative image . Image Credit: ANI Researchers designed unprecedented method capable improving brain images obtained magnetic resonance imaging artificial intelligence. This new model manages increase image quality low resolution high resolution distorting patients brain structures, deep learning artificial neural network model based functioning human brain learns process. The study published scientific journal Neurocomputing. Deep learning based large neural networks, capacity learn, reaching complexity abstraction brain, explains researcher Karl Thurnhofer, main author study, adds thanks technique, activity identification performed alone, supervision; identification effort human eye capable doing. This study represents scientific breakthrough, algorithm developed UMA yields accurate results time, clear benefits patients. So far, acquisition quality brain images depended time patient remained immobilised scanner; method, image processing carried later computer, explains Thurnhofer. According experts, results enable specialists identify brainrelated pathologies, like physical injuries, cancer language disorders, others, increased accuracy definition, image details thinner, avoiding performance additional tests diagnoses uncertain. Nowadays, ICAI Group UMA, led Professor Ezequiel Lopez, coauthor study, benchmark neurocomputing, computational learning, artificial intelligence. The Professors Department Computer Science Programming Languages Enrique Dominguez Rafael Luque, researcher Nuria RoeVellve, participated study. ANI This story edited Devdiscourse staff autogenerated syndicated feed. Download The Devdiscourse News App Latest News. 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VideosLive TV Digital StudiosCNN FilmsHLNTV ScheduleTV Shows A-ZCNNVREditionU.S.InternationalArabicEspañolLive TV Digital StudiosCNN FilmsHLNTV ScheduleTV Shows A-ZCNNVRSearchEditionU.S.InternationalArabicEspañolUSCrime + JusticeEnergy + EnvironmentExtreme WeatherSpace + ScienceWorldAfricaAmericasAsiaAustraliaChinaEuropeIndiaMiddle EastUnited Kingdom<a mode="da | Former Real Madrid star uses AI company to fight Covid-19 in Spain | Former Real Madrid star uses AI company fight Covid19 Spain CNN Video VideosLive TV Digital StudiosCNN FilmsHLNTV ScheduleTV Shows AZCNNVREditionU.S.InternationalArabicEspaolLive TV Digital StudiosCNN FilmsHLNTV ScheduleTV Shows AZCNNVREditionU.S.InternationalArabicEspaolUSCrime JusticeEnergy EnvironmentExtreme WeatherSpace ScienceWorldAfricaAmericasAsiaAustraliaChinaEuropeIndiaMiddle EastUnited Kingdom<a mode=da | 2,020 | [
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Second Spectrum Selects AWS as its Preferred Cloud, Machine Learning, Artificial Intelligence, and Media Services Provider
By
BN Staff
9 hours ago
The leader in real-time analytics and indexed video for international sports leagues relies on AWS to power predictive stats, enhanced visualizations, and high-quality viewing experiences
SEATTLE–(BUSINESS WIRE)–Today, Amazon Web Services, Inc. (AWS), an Amazon.com company (NASDAQ: AMZN), announced that Second Spectrum, the Official Optical Tracking and Analytics Provider of sports leagues such as the National Basketball Association (NBA) and the English Premier League, has chosen AWS as its preferred cloud, machine learning (ML), and artificial intelligence (AI) provider. Second Spectrum has also selected AWS media services to help deliver new kinds of live game-watching experiences to fans. Second Spectrum uses AWS’s industry-leading services to help sports leagues and their media partners deliver analytics, visualizations, and easily searchable video clips during games and matches to enhance the fan experience and provide teams with deeper competitive insights. For example, Second Spectrum leverages AWS to produce and deliver Clippers CourtVision, an augmented reality, livestreaming product for the Los Angeles (L.A.) Clippers that displays player tracking information, real-time stats, and explanatory animations for fans watching from desktops and mobile devices.
Second Spectrum’s content-generation service runs on AWS. The process begins when Second Spectrum applies ML and computer vision techniques to its proprietary optical tracking system, which collects 3D spatial data from cameras at live sporting events, and then indexes the video in real time with metadata such as the identity and location of players, and the type of play in progress. Second Spectrum technology then references that real-time information against historical team and player data housed on AWS to rapidly generate stats, analytics, and its proprietary metrics like Quantified Shot Quality (expected effective field goal percentage) and Quantified Shooter Impact (impact of the player compared to league average), and uses AWS’s highly scalable and performant infrastructure to construct 3D visualizations and augmented video to support live broadcasts. By expanding its relationship with AWS, Second Spectrum will begin working with Amazon SageMaker to explore ways of enhancing and tuning its ML models on years of video data captured in dozens of sports venues, enabling it to generate new predictive stats during live games.
Second Spectrum minimizes latency in its streaming services and offers fans a high-quality viewing experience by using AWS Elemental Live, a service for encoding live video and compressing it for viewing on multiple devices, and AWS Elemental MediaStore, a storage service optimized for media, to allow television producers and sports commentators to quickly access key moments from sports events. In addition, Second Spectrum plans to begin working with AWS Outposts – which extend AWS infrastructure and services to virtually any data center, co-location space, or on-premises facility – in select sports arenas to understand how to further reduce latency in ML inferences, graphical processing, and live broadcast video delivery.
“Second Spectrum has created never-before-seen products and experiences for coaches, analysts, players, producers, storytellers, and fans everywhere. In addition, successful teams rely on our machine intelligence to find and share video, discover key insights, and make more informed decisions faster,” said Rajiv Maheswaran, CEO of Second Spectrum. “Using AWS’s breadth and depth of services, Second Spectrum will elevate its analytics and video processing capabilities to provide deeper insights into on-field and on-court action. We look forward to leveraging AWS to continue to innovate new and compelling content and give our customers and fans new and better ways to experience sports.”
“AWS and Second Spectrum have a history of working together to deliver stats and visualizations that make the world’s most competitive sports even more engaging for fans, insightful for coaches and players, and profitable for media partners,” Mike Clayville, Vice President, Worldwide Commercial Sales at AWS. “In expanding the relationship between AWS and Second Spectrum – bringing together a top provider of sports analytics with AWS’s unmatched portfolio of services – we are adding new layers of depth to the spectator experience and helping teams uncover new ways to understand, evaluate, and elevate their performance.”
About Amazon Web Services
For almost 14 years, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 175 fully featured services for compute, storage, databases, networking, analytics, robotics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, virtual and augmented reality (VR and AR), media, and application development, deployment, and management from 69 Availability Zones (AZs) within 22 geographic regions, with announced plans for 16 more Availability Zones and five more AWS Regions in Indonesia, Italy, Japan, South Africa, and Spain. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—trust AWS to power their infrastructure, become more agile, and lower costs. To learn more about AWS, visit aws.amazon.com.
About Amazon
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. Customer reviews, 1-Click shopping, personalized recommendations, Prime, Fulfillment by Amazon, AWS, Kindle Direct Publishing, Kindle, Fire tablets, Fire TV, Amazon Echo, and Alexa are some of the products and services pioneered by Amazon. For more information, visit amazon.com/about and follow @AmazonNews.
About Second Spectrum
Second Spectrum is the world leader in building machines that understand sports. As the Official Optical Tracking and Analytics Provider of the NBA and English Premier League, and partner of professional and college teams around the world, Second Spectrum creates tools that help teams save time and discover new insights by making data and video easily accessible and actionable. Second Spectrum’s media products help content owners and distributors automatically create augmented video and interactive, personalized, OTT experiences. Founded in 2013, the company works with clients around the globe from its five offices in Los Angeles, New York, Lausanne, Manchester, and Shanghai. For more information, visit http://www.secondspectrum.com.
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| Second Spectrum Selects AWS as its Preferred Cloud, Machine Learning, Artificial Intelligence, and Media Services Provider | Second Spectrum Selects AWS Preferred Cloud, Machine Learning, Artificial Intelligence, Media Services Provider Broadcast Newsroom Skip content Broadcast Newsroom News Information Broadcast Professionals Primary Menu for: Home2020February14Second Spectrum Selects AWS Preferred Cloud, Machine Learning, Artificial Intelligence, Media Services Provider News Second Spectrum Selects AWS Preferred Cloud, Machine Learning, Artificial Intelligence, Media Services Provider By BN Staff 9 hours ago The leader realtime analytics indexed video international sports leagues relies AWS power predictive stats, enhanced visualizations, highquality viewing experiences SEATTLEBUSINESS WIREToday, Amazon Web Services, . AWS, company NASDAQ: AMZN, announced Second Spectrum, Official Optical Tracking Analytics Provider sports leagues National Basketball Association NBA English Premier League, chosen AWS preferred cloud, machine learning ML, artificial intelligence AI provider. Second Spectrum selected AWS media services help deliver new kinds live gamewatching experiences fans. Second Spectrum uses AWSs industryleading services help sports leagues media partners deliver analytics, visualizations, easily searchable video clips games matches enhance fan experience provide teams deeper competitive insights. For example, Second Spectrum leverages AWS produce deliver Clippers CourtVision, augmented reality, livestreaming product Los Angeles L.A. Clippers displays player tracking information, realtime stats, explanatory animations fans watching desktops mobile devices. Second Spectrums contentgeneration service runs AWS. The process begins Second Spectrum applies ML vision techniques proprietary optical tracking system, collects 3D spatial data cameras live sporting events, indexes video real time metadata identity location players, type play progress. Second Spectrum technology references realtime information historical team player data housed AWS rapidly generate stats, analytics, proprietary metrics like Quantified Shot Quality expected effective field goal percentage Quantified Shooter Impact impact player compared league average, uses AWSs highly scalable performant infrastructure construct 3D visualizations augmented video support live broadcasts. By expanding relationship AWS, Second Spectrum begin working Amazon SageMaker explore ways enhancing tuning ML models years video data captured dozens sports venues, enabling generate new predictive stats live games. Second Spectrum minimizes latency streaming services offers fans highquality viewing experience AWS Elemental Live, service encoding live video compressing viewing multiple devices, AWS Elemental MediaStore, storage service optimized media, allow television producers sports commentators quickly access key moments sports events. In addition, Second Spectrum plans begin working AWS Outposts extend AWS infrastructure services virtually data center, colocation space, onpremises facility select sports arenas understand reduce latency ML inferences, graphical processing, live broadcast video delivery. Second Spectrum created neverbeforeseen products experiences coaches, analysts, players, producers, storytellers, fans everywhere. In addition, successful teams rely machine intelligence share video, discover key insights, informed decisions faster, said Rajiv Maheswaran, CEO Second Spectrum. Using AWSs breadth depth services, Second Spectrum elevate analytics video processing capabilities provide deeper insights onfield oncourt action. We look forward leveraging AWS continue innovate new compelling content customers fans new better ways experience sports. AWS Second Spectrum history working deliver stats visualizations worlds competitive sports engaging fans, insightful coaches players, profitable media partners, Mike Clayville, Vice President, Worldwide Commercial Sales AWS. In expanding relationship AWS Second Spectrum bringing provider sports analytics AWSs unmatched portfolio services adding new layers depth spectator experience helping teams uncover new ways understand, evaluate, elevate performance. About Amazon Web Services For 14 years, Amazon Web Services worlds comprehensive broadly adopted cloud platform. AWS offers 175 fully featured services compute, storage, databases, networking, analytics, robotics, machine learning artificial intelligence AI, Internet Things IoT, mobile, security, hybrid, virtual augmented reality VR AR, media, application development, deployment, management 69 Availability Zones AZs 22 geographic regions, announced plans 16 Availability Zones AWS Regions Indonesia, Italy, Japan, South Africa, Spain. Millions customersincluding fastestgrowing startups, largest enterprises, leading government agenciestrust AWS power infrastructure, agile, lower costs. To learn AWS, visit aws.. About Amazon Amazon guided principles: customer obsession competitor focus, passion invention, commitment operational excellence, longterm thinking. Customer reviews, 1Click shopping, personalized recommendations, Prime, Fulfillment Amazon, AWS, Kindle Direct Publishing, Kindle, Fire tablets, Fire TV, Amazon Echo, Alexa products services pioneered Amazon. For information, visit follow About Second Spectrum Second Spectrum world leader building machines understand sports. As Official Optical Tracking Analytics Provider NBA English Premier League, partner professional college teams world, Second Spectrum creates tools help teams save time discover new insights making data video easily accessible actionable. Second Spectrums media products help content owners distributors automatically create augmented video interactive, personalized, OTT experiences. Founded 2013, company works clients globe offices Los Angeles, New York, Lausanne, Manchester, Shanghai. For information, visit , . Media Hotline Amazonpr Continue Reading Previous Mastermind Reports First Quarter Fiscal 2020 Results, Continues Project Strong Growth Full Fiscal Year for: Video NewsCategoriesCategories Select Category 3D Printing 4K 60fps 8K Automation Avid Broadcast CES Asia Community Compositing Content Content Creation Dailies DIT Education Electronics Feature Finishing Grading IBC Image Processing IP Video IQS Lighting Manufacturing Metadata Monitor Music Music Video NAB News People Post Production ProRes Review Robotics Storage Streaming Technology Top Story Transcription Tutorial UHD Video Video Editing Video processor Videowall VR Workflow Recent Posts Second Spectrum Selects AWS Preferred Cloud, Machine Learning, Artificial Intelligence, Media Services Provider Mastermind Reports First Quarter Fiscal 2020 Results, Continues Project Strong Growth Full Fiscal Year 2020 Global SVOD Platform Forecasts Profiles Netflix, Amazon Prime Video, Disney Apple TV Among Others Triton Digital Releases Webcast Metrics Rankings Top Digital Audio Properties December 2019 Roku Releases Fourth Quarter Fiscal Year 2019 Financial Results Archives February 2020 January 2020 December 2019 November 2019 October 2019 September 2019 August 2019 July 2019 June 2019 May 2019 April 2019 Partner SitesIT Business Net Digital Producer Magazine Digital Media Net Media Hub Consumer Electronics Net Broadcast Newsroom Health Technology Net ByteSteam Crypto Blockchain Free Digital Stock Photos . 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https://3wnews.org/industry/309054/artificial-intelligence-in-medicine-market-2020-potential-growth-challenges-attractive-valuation-key-players-laird-maxim-integrated-te-technology-ams-technology-ferrotec-etc/ | 2020-03-19T00:00:00 | en | Artificial Intelligence in Medicine Market 2020: Potential Growth, Challenges, Attractive Valuation | Key Players: Laird, Maxim Integrated, TE Technology, AMS Technology, Ferrotec, etc. – 3rd Watch News |
Artificial Intelligence in Medicine Market 2020: Potential Growth, Challenges, Attractive Valuation | Key Players: Laird, Maxim Integrated, TE Technology, AMS Technology, Ferrotec, etc. – 3rd Watch News
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HomeIndustryArtificial Intelligence in Medicine Market 2020: Potential Growth, Challenges, Attractive Valuation | Key Players: Laird, Maxim Integrated, TE Technology, AMS Technology, Ferrotec, etc.
Artificial Intelligence in Medicine Market 2020: Potential Growth, Challenges, Attractive Valuation | Key Players: Laird, Maxim Integrated, TE Technology, AMS Technology, Ferrotec, etc.
Posted On: March 19, 2020
Posted By: basavraj
Comments: 0
Artificial Intelligence in Medicine Market report provides an in-depth analysis of the overall market over a period from 2020-2025. The report focuses on major key players, production details, their application, and countries and also analyzes the global and key regions market potential and advantage, opportunity, and challenge, restraints, and risks.
Get Exclusive Sample of Report on Artificial Intelligence in Medicine market is available at https://inforgrowth.com/sample-request/5558598/artificial-intelligence-in-medicine-market
The Artificial Intelligence in Medicine market report covers major market players like IBM, Atomwise, Zebra Medical Vision, Cyrcadia Health, AiCure, Modernizing Medicine, Berg Health, Esko Bionics, Medasense Biometrics, Hindsait
Performance Analysis of Artificial Intelligence in Medicine Industry 2020 Highlighting Recent Market Growth, Trends and Development 2025 Forecast Report
Global Artificial Intelligence in Medicine Market Research Report 2020 is a comprehensive business study on the current state of the industry which analyses innovative strategies for business growth and describes important factors such as top manufacturers, production value, key regions, and growth rate.
Artificial Intelligence in Medicine Market 2020-2025: Segmentation
Artificial Intelligence in Medicine Market is segmented as below:
Breakup Product Type:On-premise, Cloud-based
Breakup by Application:Patient Care, Research and Drug Invention, Disease Diagnosis and Identification, Others
Geographic segmentation
Asia-Pacific
Europe South America
North America
Middle East & Africa
South America
To know about the global trends impacting the future of market research, contact at: https://inforgrowth.com/enquiry/5558598/artificial-intelligence-in-medicine-market
Artificial Intelligence in Medicine Market 2020-2025: Scope
We present a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources.
Our Artificial Intelligence in Medicine market report covers the following areas:
Artificial Intelligence in Medicine Market size
Artificial Intelligence in Medicine Market trends
Artificial Intelligence in Medicine Market industry analysis
Industrial Analysis of Artificial Intelligence in Medicine Market:
Table of Contents:
1 Artificial Intelligence in Medicine Market Introduction and Market Overview 2 Industry Chain Analysis 3 Global Artificial Intelligence in Medicine Market, by Type 4 Artificial Intelligence in Medicine Market, by Application 5 Global Artificial Intelligence in Medicine Production, Value ($) by Region (2014-2019) 6 Global Artificial Intelligence in Medicine Production, Consumption, Export, Import by Regions (2014-2019) 7 Global Artificial Intelligence in Medicine Market Status and SWOT Analysis by Regions 8 Competitive Landscape 9 Global Artificial Intelligence in Medicine Market Analysis and Forecast by Type and Application 10 Artificial Intelligence in Medicine Market Analysis and Forecast by Region 11 New Project Feasibility Analysis 12 Research Finding and Conclusion 13 Appendix
Get Special Discount UP TO 50% for this Report: https://inforgrowth.com/discount/5558598/artificial-intelligence-in-medicine-market
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| Artificial Intelligence in Medicine Market 2020: Potential Growth, Challenges, Attractive Valuation | Artificial Intelligence Medicine Market 2020: Potential Growth, Challenges, Attractive Valuation Key Players: Laird, Maxim Integrated, TE Technology, AMS Technology, Ferrotec, etc. 3rd Watch News Us 3rd Watch News 3rd Market Reports Analytics News Market Reports Industry Analytics Industry Reports Market Research Business Opportunity Emerging Trends Growth Prospects HomeIndustryArtificial Intelligence Medicine Market 2020: Potential Growth, Challenges, Attractive Valuation Key Players: Laird, Maxim Integrated, TE Technology, AMS Technology, Ferrotec, etc. Artificial Intelligence Medicine Market 2020: Potential Growth, Challenges, Attractive Valuation Key Players: Laird, Maxim Integrated, TE Technology, AMS Technology, Ferrotec, etc. Posted On: March 19, 2020 Posted By: basavraj Comments: 0 Artificial Intelligence Medicine Market report provides indepth analysis overall market period 20202025. The report focuses major key players, production details, application, countries analyzes global key regions market potential advantage, opportunity, challenge, restraints, risks. Get Exclusive Sample Report Artificial Intelligence Medicine market available The Artificial Intelligence Medicine market report covers major market players like IBM, Atomwise, Zebra Medical Vision, Cyrcadia Health, AiCure, Modernizing Medicine, Berg Health, Esko Bionics, Medasense Biometrics, Hindsait Performance Analysis Artificial Intelligence Medicine Industry 2020 Highlighting Recent Market Growth, Trends Development 2025 Forecast Report Global Artificial Intelligence Medicine Market Research Report 2020 comprehensive business study current state industry analyses innovative strategies business growth describes important factors manufacturers, production value, key regions, growth rate. Artificial Intelligence Medicine Market 20202025: Segmentation Artificial Intelligence Medicine Market segmented below: Breakup Product Type:Onpremise, Cloudbased Breakup Application:Patient Care, Research Drug Invention, Disease Diagnosis Identification, Others Geographic segmentation AsiaPacific Europe South America North America Middle East Africa South America To know global trends impacting future market research, contact at: Artificial Intelligence Medicine Market 20202025: Scope We present detailed picture market way study, synthesis, summation data multiple sources. OurArtificial Intelligence Medicine marketreport covers following areas: Artificial Intelligence Medicine Market size Artificial Intelligence Medicine Market trends Artificial Intelligence Medicine Market industry analysis Industrial Analysis Artificial Intelligence Medicine Market: Table Contents: 1 Artificial Intelligence Medicine Market Introduction Market Overview 2 Industry Chain Analysis 3 Global Artificial Intelligence Medicine Market, Type 4 Artificial Intelligence Medicine Market, Application 5 Global Artificial Intelligence Medicine Production, Value Region 20142019 6 Global Artificial Intelligence Medicine Production, Consumption, Export, Import Regions 20142019 7 Global Artificial Intelligence Medicine Market Status SWOT Analysis Regions 8 Competitive Landscape 9 Global Artificial Intelligence Medicine Market Analysis Forecast Type Application 10 Artificial Intelligence Medicine Market Analysis Forecast Region 11 New Project Feasibility Analysis 12 Research Finding Conclusion 13 Appendix Get Special Discount UP TO 50 Report: FOR ALL YOUR RESEARCH NEEDS, REACH OUT TO US AT: Address: 6400 Village Pkwy suite 104, Dublin, CA 94568, USA Name: Rohan S. 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https://www.necn.com/news/tech/smart-homes-get-smarter-ces-2020-brings-artificial-intelligence-to-everything/2214924/ | 2020-01-06T00:00:00 | en | Smart Homes Get Smarter: CES 2020 Brings Artificial Intelligence to Everything – NECN |
Smart Homes Get Smarter: CES 2020 Brings Artificial Intelligence to Everything – NECN
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Artificial Intelligence in Diabetes Management Market 2020 Abstract: The report introduces Artificial Intelligence in Diabetes Management basic information including definition, application, industry chain structure, industry overview, classification, policy analysis, and news analysis. Insightful predictions for the Artificial Intelligence in Diabetes Management Market for the coming few years have also been included in the report.
Here is a quick overview of the report:
• Market representation: main players, analysis, size, company situation, SWOT analysis 2020 to 2029.
• Regional scope: North America (United States, Mexico, Canada), Europe (Germany, United Kingdom, France, Italy, Spain, Russia, etc.),
Middle East and Africa (Saudi Arabia, South Africa, etc.), South America (Brazil, Argentina, etc.)
• Methodology: a mixture of primary and secondary research
• Report coverage: statistics, opportunities, challenges, drivers, constraints, limits, market size, share and trends.
• Forecast period: 2020-2029
• Request For The Sample Copy of Artificial Intelligence in Diabetes Management Market Report Which Provides – Key Market Trends | Growth | Share | Sale | Revenue | Manufactures | Technology Component- Click To Know For Details
••• NOTE: Our analysts screens the condition across the globe explains that the market will generate remunerative prospects for producers post COVID-19 crisis. The report objects to provide an additional illustration of the latest scenario, economic slowdown, and COVID-19 impact on the overall industry.
Download the Sample Report to understand the CORONA Virus/COVID19 impact and be smart in redefining business strategies: https://marketresearch.biz/report/artificial-intelligence-in-diabetes-management-market/covid-19-impact
• Top Insights of Artificial Intelligence in Diabetes Management Market Report Covered by MarketResearch.Biz with Major Key Players | ” Apple Inc., Diabnext, Glooko Inc., Google LLC, IBM Corporation, Tidepool, Vodafone Group Plc. “
Artificial Intelligence in Diabetes Management market report provides a detailed analysis of global market size, segmentation market growth, regional and country-level market size, market share, competitive Landscape, sales analysis, the impact of domestic and global market players, value chain optimization, trade regulations, recent developments, opportunities analysis, strategic market growth analysis, product launches, area marketplace expanding, and technological innovations.
Artificial Intelligence in Diabetes Management market report gives an detailed analysis of worldwide market size, segmentation market development, regional and country level market size, market share, competitive Landscape, deals investigation, the effect of domestic and worldwide market players, value chain streamlining, exchange guidelines, late turns of events, openings investigation, key market development investigation, product launches, territory commercial center growing, and mechanical advancements.
• Geographical Analysis:
• North America: United States, Canada, and Mexico.
• South & Central America: Argentina, Chile, and Brazil.
• Middle East & Africa: Saudi Arabia, UAE, Turkey, Egypt and South Africa.
• Europe: UK, France, Italy, Germany, Spain, and Russia.
• Asia-Pacific: India, China, Japan, South Korea, Indonesia, Singapore, and Australia.
This report presents an intensive outline of the market and its normal development way over the period somewhere in the range of 2020 and 2029. The compound yearly development rate (CAGR %) for all fragments of the market is accommodated this period. The report features the key patterns of at various times expected to assume a key job in the general improvement of the market over the forecast period. The report additionally diagrams the urgent variables driving and controlling the market. An itemized outline of rewarding development openings across key portions and local markets is additionally included.
The report likewise presents a qualitative and quantitative investigation of the advancement observed in the field of Artificial Intelligence in Diabetes Management technologies in the previous not many years. Through essential and optional research endeavors, detailed information relating to new revelations to have forayed into the worldwide market in the previous hardly any years have been remembered for the report. Information in regards to the serious and seller scene, administrative system across key provincial markets, and areas with high-development possibilities is likewise remembered for the report.
• Worldwide Artificial Intelligence in Diabetes Management Market: Trends and Opportunities
One of the key variables driving the worldwide Artificial Intelligence in Diabetes Management market is the expanded interest for new procedures and standards for viably taking care of enormous information related issues and the rising appropriation of Artificial Intelligence in Diabetes Management-based automatons and different items in safeguard and military applications. Various different businesses are additionally contributing expanded entireties on the appropriation of logical arrangements that can cut down operational expenses and make activities speedier and increasingly beneficial. As Artificial Intelligence in Diabetes Management-based calculations end up being viable in these zones and the mindfulness with respect to their advantages rises, the Artificial Intelligence in Diabetes Management is relied upon to profit hugely from a potential ascent in set of uses.
At long last, report gives subtleties of serious advancements, for example, developments, understandings, new item dispatches, and acquisitions in the market for guaging, territorial interest, and gracefully factor, investment, market elements including specialized situation, consumer conduct, and end-use industry patterns and elements, capacity, spending were contemplated.
• To Know More About How The Report Uncovers Exhaustive Insights | Enquire or Speak To An Expert Here: https://marketresearch.biz/report/artificial-intelligence-in-diabetes-management-market/#inquiry
• Important Key questions answered in Artificial Intelligence in Diabetes Management market report:
What will the market growth rate, Overview, and Analysis by Type of Artificial Intelligence in Diabetes Management in 2029?
What are the key factors affecting market dynamics? What are the drivers, challenges, and business risks in Artificial Intelligence in Diabetes Management market?
What is Dynamics, This Overview Includes Analysis of Scope and price analysis of top Manufacturers Profiles?
Who Are Opportunities, Risk, and Driving Force of Artificial Intelligence in Diabetes Management market? Knows Upstream Raw Materials Sourcing and Downstream Buyers.
Who are the key manufacturers in space? Business Overview by Type, Applications, Gross Margin, and Market Share
What are the opportunities and threats faced by manufacturers in the global market?
• Global Artificial Intelligence in Diabetes Management Industry Report Roofed Below Topics:
01: Artificial Intelligence in Diabetes Management Market Outlook
02: Global Artificial Intelligence in Diabetes Management Industry Sales, Revenue (USD$) and Market Share by Key Players
03: Artificial Intelligence in Diabetes Management Market Sales, Revenue (USD$) by Regions and Segmentation
04: Regionwise Artificial Intelligence in Diabetes Management Top Players Growth, Sales, Price and Revenue
05: Worldwide Artificial Intelligence in Diabetes Management industry Vendors Profiles Study
06: Artificial Intelligence in Diabetes Management Production Cost Study
07: Industrial Chain Analysis, Sourcing Strategy and Downstream Artificial Intelligence in Diabetes Management Buyers
08: Artificial Intelligence in Diabetes Management Marketing Strategy Study, Distributors/Suppliers
09: Artificial Intelligence in Diabetes Management Industry Growth Factors Study
10: Global Artificial Intelligence in Diabetes Management Market Foresight (2020-2029)
11: Artificial Intelligence in Diabetes Management Research Discoveries and Conclusion
12: Artificial Intelligence in Diabetes Management Appendix
TOC Continued
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| Latest News 2020: Artificial Intelligence in Diabetes Management Market by Coronavirus-COVID19 Impact Analysis With Top Manufacturers ( Apple Inc.,Diabnext ) Analysis | Latest News 2020: Artificial Intelligence Diabetes Management Market CoronavirusCOVID19 Impact Analysis With Top Manufacturers Apple .,Diabnext Analysis MarketResearch.Biz Flagler Times Flagler Times Chemicals Energy Healthcare I.T. Machinery Oil Gas SciTech Saturday, June 13 2020 Trending Smart Power Technology Market Business Growth Statistics Key Players Insights[PDF] Addressing Potential Impact CoronaVirus COVID19 World corona virus Dispatch: Automotive Transfer Cases Market: Soaring Demand Assures Motivated Revenue Share During 20202029 Food Packaging Market Business Growth Statistics Key Players Insights[PDF] Addressing Potential Impact CoronaVirus COVID19 Latest News 2020: Perforating Gun Market CoronavirusCOVID19 Impact Analysis With Top Manufacturers Schlumberger Limited,DYNAenergetics GmbH Co. KG Analysis MarketResearch.Biz Latest News 2020: Artificial Intelligence Diabetes Management Market CoronavirusCOVID19 Impact Analysis With Top Manufacturers Apple .,Diabnext Analysis MarketResearch.Biz Latest News 2020: Tartaric Acid Market CoronavirusCOVID19 Impact Analysis With Top Manufacturers Caviro Group,ATP Group Ltd. Analysis MarketResearch.Biz Latest News 2020: UV Curable Resins Formulated Products Market CoronavirusCOVID19 Impact Analysis With Top Manufacturers Arkema S.A.,BASF SE Analysis MarketResearch.Biz Fatty Alcohols Market Business Growth Statistics Key Players Insights[PDF] Addressing Potential Impact CoronaVirus COVID19 Global Thiamethoxam Market Focuses On Swot Analysis, Development Plans 2020 To 2029 COVID19 UPDATE Global Polyethylene Naphthalate Market 2020 Industry Share, World Growth, Top Players HomeUncategorizedLatest News 2020: Artificial Intelligence Diabetes Management Market CoronavirusCOVID19 Impact Analysis With Top Manufacturers Apple .,Diabnext Analysis MarketResearch.Biz Uncategorized Latest News 2020: Artificial Intelligence Diabetes Management Market CoronavirusCOVID19 Impact Analysis With Top Manufacturers Apple .,Diabnext Analysis MarketResearch.Biz stefen June 13, 2020 Artificial Intelligence Diabetes Management Market 2020 Abstract: The report introduces Artificial Intelligence Diabetes Management basic information including definition, application, industry chain structure, industry overview, classification, policy analysis, news analysis. Insightful predictions Artificial Intelligence Diabetes Management Market coming years included report. Here quick overview report: Market representation: main players, analysis, size, company situation, SWOT analysis 2020 2029. Regional scope: North America United States, Mexico, Canada, Europe Germany, United Kingdom, France, Italy, Spain, Russia, etc., Middle East Africa Saudi Arabia, South Africa, etc., South America Brazil, Argentina, etc. Methodology: mixture primary secondary research Report coverage: statistics, opportunities, challenges, drivers, constraints, limits, market size, share trends. Forecast period: 20202029 Request For The Sample Copy Artificial Intelligence Diabetes Management Market Report Which Provides Key Market Trends Growth Share Sale Revenue Manufactures Technology ComponentClick To Know For Details NOTE: Our analysts screens condition globe explains market generate remunerative prospects producers post COVID19 crisis. The report objects provide additional illustration latest scenario, economic slowdown, COVID19 impact overall industry. Download Sample Report understand CORONA VirusCOVID19 impact smart redefining business strategies: Top Insights Artificial Intelligence Diabetes Management Market Report Covered MarketResearch.Biz Major Key Players Apple ., Diabnext, Glooko ., Google LLC, IBM Corporation, Tidepool, Vodafone Group Plc. Artificial Intelligence Diabetes Management market report provides detailed analysis global market size, segmentation market growth, regional countrylevel market size, market share, competitive Landscape, sales analysis, impact domestic global market players, value chain optimization, trade regulations, recent developments, opportunities analysis, strategic market growth analysis, product launches, area marketplace expanding, technological innovations. Artificial Intelligence Diabetes Management market report gives detailed analysis worldwide market size, segmentation market development, regional country level market size, market share, competitive Landscape, deals investigation, effect domestic worldwide market players, value chain streamlining, exchange guidelines, late turns events, openings investigation, key market development investigation, product launches, territory commercial center growing, mechanical advancements. Geographical Analysis: North America: United States, Canada, Mexico. South Central America: Argentina, Chile, Brazil. Middle East Africa: Saudi Arabia, UAE, Turkey, Egypt South Africa. Europe: UK, France, Italy, Germany, Spain, Russia. AsiaPacific: India, China, Japan, South Korea, Indonesia, Singapore, Australia. This report presents intensive outline market normal development way period range 2020 2029. The compound yearly development rate CAGR fragments market accommodated period. The report features key patterns times expected assume key job general improvement market forecast period. The report additionally diagrams urgent variables driving controlling market. An itemized outline rewarding development openings key portions local markets additionally included. The report likewise presents qualitative quantitative investigation advancement observed field Artificial Intelligence Diabetes Management technologies previous years. Through essential optional research endeavors, detailed information relating new revelations forayed worldwide market previous hardly years remembered report. Information regards seller scene, administrative key provincial markets, areas highdevelopment possibilities likewise remembered report. Worldwide Artificial Intelligence Diabetes Management Market: Trends Opportunities One key variables driving worldwide Artificial Intelligence Diabetes Management market expanded new procedures standards viably taking care enormous information related issues rising appropriation Artificial Intelligence Diabetes Managementbased automatons different items safeguard military applications. Various different businesses additionally contributing expanded entireties appropriation logical arrangements cut operational expenses activities speedier increasingly beneficial. As Artificial Intelligence Diabetes Managementbased calculations end viable zones mindfulness respect advantages rises, Artificial Intelligence Diabetes Management relied profit hugely potential ascent set uses. At long last, report gives subtleties advancements, example, developments, understandings, new item dispatches, acquisitions market guaging, territorial interest, gracefully factor, investment, market elements including specialized situation, consumer conduct, enduse industry patterns elements, capacity, spending contemplated. To Know More About How The Report Uncovers Exhaustive Insights Enquire Speak To An Expert Here: Important Key questions answered Artificial Intelligence Diabetes Management market report: What market growth rate, Overview, Analysis Type Artificial Intelligence Diabetes Management 2029? What key factors affecting market dynamics? What drivers, challenges, business risks Artificial Intelligence Diabetes Management market? What Dynamics, This Overview ludes Analysis Scope price analysis Manufacturers Profiles? Who Are Opportunities, Risk, Driving Force Artificial Intelligence Diabetes Management market? Knows Upstream Raw Materials Sourcing Downstream Buyers. Who key manufacturers space? Business Overview Type, Applications, Gross Margin, Market Share What opportunities threats faced manufacturers global market? Global Artificial Intelligence Diabetes Management Industry Report Roofed Below Topics: 01: Artificial Intelligence Diabetes Management Market Outlook 02: Global Artificial Intelligence Diabetes Management Industry Sales, Revenue USD Market Share Key Players 03: Artificial Intelligence Diabetes Management Market Sales, Revenue USD Regions Segmentation 04: Regionwise Artificial Intelligence Diabetes Management Top Players Growth, Sales, Price Revenue 05: Worldwide Artificial Intelligence Diabetes Management industry Vendors Profiles Study 06: Artificial Intelligence Diabetes Management Production Cost Study 07: Industrial Chain Analysis, Sourcing Strategy Downstream Artificial Intelligence Diabetes Management Buyers 08: Artificial Intelligence Diabetes Management Marketing Strategy Study, DistributorsSuppliers 09: Artificial Intelligence Diabetes Management Industry Growth Factors Study 10: Global Artificial Intelligence Diabetes Management Market Foresight 20202029 11: Artificial Intelligence Diabetes Management Research Discoveries Conclusion 12: Artificial Intelligence Diabetes Management Appendix TOC Continued We provide best class customer service customer support team available help research queries. Thanks reading article. Us: Mr. Benni Johnson inquiry MarketResearch.Biz Powered By Prudour Pvt. Ltd. 420 Lexington Avenue, Suite 300 New York City, NY 10170, United States Website: Facebook Twitter Google LinkedIn StumbleUpon Tumblr Pinterest Reddit VKontakte Share Email Print stefen Related Articles June 12, 2020 3 E Scooter Moped And E Motorcycle Market 2026 Growth Factors, Opportunities, Ongoing Trends Key Players June 7, 2020 3 Global Para Toluene Sulfonyl Hydrazide Market 2020 COVID19 After Effects Analysis Emerging Trends, Industry Demand, Growth, Key Players May 29, 2020 2 Global Core Saws Market Report 2020 Covering Impact COVID19, Financial Information, Developments, SWOT Analysis June 9, 2020 2 Global Gear Pumps Market 2020 Business Scenario Bosch Rexroth, Atos, Parker Hannifin, Bailey International Facebook Twitter WhatsApp Telegram Close for: for: Recent Posts Smart Power Technology Market Business Growth Statistics Key Players Insights[PDF] Addressing Potential Impact CoronaVirus COVID19 World corona virus Dispatch: Automotive Transfer Cases Market: Soaring Demand Assures Motivated Revenue Share During 20202029 Food Packaging Market Business Growth Statistics Key Players Insights[PDF] Addressing Potential Impact CoronaVirus COVID19 Latest News 2020: Perforating Gun Market CoronavirusCOVID19 Impact Analysis With Top Manufacturers Schlumberger Limited,DYNAenergetics GmbH Co. KG Analysis MarketResearch.Biz Latest News 2020: Artificial Intelligence Diabetes Management Market CoronavirusCOVID19 Impact Analysis With Top Manufacturers Apple .,Diabnext Analysis MarketResearch.Biz Recent Comments Close Log In Forget? Remember Log In | 2,020 | [
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https://www.devdiscourse.com/article/headlines/1063855-drdo-research-centre-develops-non-contact-ai-based-attendance-system | 2020-05-23T00:00:00 | en | DRDO research centre develops non-contact AI based attendance system |
DRDO research centre develops non-contact AI based attendance system
Select EditionPacificSouth AsiaEast and South East AsiaEurope and Central AsiaCentral AfricaEast AfricaSouthern Africa West AfricaMiddle East and North AfricaNorth America Latin America and Caribbean HOME NEWS RESEARCH LIVE DISCOURSE BLOG / OPINION SUBMIT PRESS RELEASE About Career Advertisement Team Partnership Knowledge Partnership Media Partnership Contact Us NEWS RESEARCH LIVE DISCOURSE BLOG / OPINION INTERVIEW SUBMIT PRESS RELEASE Agro-Forestry Art & Culture Technology Economy Education Energy Politics Law & Governance Health Science Social Sports Transport Urban Development WASH
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Article DRDO research centre develops non-contact AI based attendance system COVID-19 pandemic has presently made it unsafe to use contact based biometric verification for attendance marking systems. To circumvent this problem, Research Centre Imarat (RCI), DRDO, has successfully developed AI based Attendance Application (AINA) which allows non-contact based personnel verification using facial features of the person captured with the help of a low cost camera. ANI | Hyderabad (Telangana) | Updated: 23-05-2020 23:31 IST | Created: 23-05-2020 23:18 IST Research Centre Imarat (RCI), DRDO has successfully developed AI based Attendance Application (AINA) (Photo/ANI). Image Credit: ANI COVID-19 pandemic has presently made it unsafe to use contact based biometric verification for attendance marking systems. To circumvent this problem, Research Centre Imarat (RCI), DRDO, has successfully developed AI based Attendance Application (AINA) which allows non-contact based personnel verification using facial features of the person captured with the help of a low cost camera. AINA can be deployed with minimal upgradation to the legacy attendance infrastructure with RFID readers. It can be installed on a normal desktop computer with a GPU based display adapter.
Existing CCTV cameras can be utilised for capturing facial images. Facial features of several thousands of employees can be stored in the computer since for each employee the facial features are encoded in a small (less than 25 KB) file. The system is fully scalable since the time for identification and verification for each person remains constant even as the number of registered personnel increases.
It is fully secure as it works as a standalone system and does not require any connection to the Internet. Since only the facial features are saved in an encoded form, the actual face images need not be saved. thereby ensuring privacy and security. Also, the server storing the facial feature database is confined to the organisation premises. AINA has a light-weight installation process. AINA comes with a very intuitive and user-friendly GUI with audio prompts which can be optionally disabled. The application has been currently installed in ESIC Hospital, Hyderabad. (ANI) Share READ MORE ON: Research Centre Imarat DRDO Hyderabad Advertisement POST / READ COMMENTS Country India Share Facebook Twitter LinkedIn Youtube Advertisement TRENDING
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| DRDO research centre develops non-contact AI based attendance system | DRDO research centre develops noncontact AI based attendance Select EditionPacificSouth AsiaEast South East AsiaEurope Central AsiaCentral AfricaEast AfricaSouthern Africa West AfricaMiddle East North AfricaNorth America Latin America Caribbean HOME NEWS RESEARCH LIVE DISCOURSE BLOG OPINION SUBMIT PRESS RELEASE About Career Advertisement Team Partnership Knowledge Partnership Media Partnership Us NEWS RESEARCH LIVE DISCOURSE BLOG OPINION INTERVIEW SUBMIT PRESS RELEASE AgroForestry Art Culture Technology Economy Education Energy Politics Law Governance Health Science Social Sports Transport Urban Development WASH Advertisement Home News Technology Article DRDO research centre develops noncontact AI based attendance COVID19 pandemic presently unsafe use contact based biometric verification attendance marking systems. To circumvent problem, Research Centre Imarat RCI, DRDO, successfully developed AI based Attendance Application AINA allows noncontact based personnel verification facial features person captured help low cost camera. ANI Hyderabad Telangana Updated: 23052020 23:31 IST Created: 23052020 23:18 IST Research Centre Imarat RCI, DRDO successfully developed AI based Attendance Application AINA PhotoANI. Image Credit: ANI COVID19 pandemic presently unsafe use contact based biometric verification attendance marking systems. To circumvent problem, Research Centre Imarat RCI, DRDO, successfully developed AI based Attendance Application AINA allows noncontact based personnel verification facial features person captured help low cost camera. AINA deployed minimal upgradation legacy attendance infrastructure RFID readers. It installed normal desktop GPU based display adapter. Existing CCTV cameras utilised capturing facial images. Facial features thousands employees stored employee facial features encoded small 25 KB file. The fully scalable time identification verification person remains constant number registered personnel increases. It fully secure works standalone require connection Internet. Since facial features saved encoded form, actual face images need saved. ensuring privacy security. Also, server storing facial feature database confined organisation premises. AINA lightweight installation process. AINA comes intuitive userfriendly GUI audio prompts optionally disabled. The application currently installed ESIC Hospital, Hyderabad. ANI Share READ MORE ON: Research Centre Imarat DRDO Hyderabad Advertisement POST READ COMMENTS Country India Share Facebook Twitter LinkedIn Youtube Advertisement TRENDING Money Heist Season 5 confirmed, Who going die upcoming season? 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He also... Bengal urge Centre postpone domestic flight services state: Mamata Chief Minister Mamata Banerjee Saturday said West Bengal urge Centre postpone resuming domestic flight services Kolkata Bagdogra airports days state busy managing damage caused Cyclo... 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https://yourstory.com/mystory/things-know-data-science-career | 2020-03-05T00:00:00 | en | Things to Know about Data Science Career in 2020 | Things to Know about Data Science Career in 2020 அअಅYourStoryAcademyHerStorySocialStorySMBStoryYourStoryTVMoreAwardsAdvertise With UsAutoStoryMyStoryWeekenderJournalYS KoreaDeutschlandGermanyEventsVisualLanguageEnglishKannadaHindiAsamiyaBanglaGujaratiMalayalamMarathiOdiaPunjabiTeluguUrduஅअಅLoginLanguageEnglishKannadaHindiAsamiyaBanglaGujaratiMalayalamMarathiOdiaPunjabiTeluguUrduஅअಅLoginOpinionThings to Know about Data Science Career in 2020What is Data Science?
how to get into this career?
What are the skills required to become data scientist?
If you have similar kind of questions go through the article.By Sagar5th Mar 2020+0 Share on+0 Share onShare onData is exploding every millisecond and the need to analyze it is also increasing exponentially. When the organizations are desperately looking for intellectually curious Data Science professionals to juggle their stored data, are they able to hire skilled Data Science professionals at ease? The sad truth is no, why because? Data Science is a new field and professionals are puzzled on how to equip themselves with essential job skills for this career. Well, the Sexiest job of the 21st century isn’t that hard to crack when you read this article.First, let us see what Data Science is all aboutWhat is Data Science?Do you know even the ‘world’s tiniest product’ that is sold in the market is delivering huge chunks of usable customer data to its manufacturer?? All the procured data are safely stored in the company’s database and awaiting its turn to be analyzed. When we start analyzing this stored data, we can gain actionable insights that help in enhancing the profit of the business.Data Science is a multidisciplinary approach that combines the power of statistics and programming to work upon the raw data for producing actionable business insights. Harnessing the raw data is not all that easy as it sounds. The data might not always be in the structured form and can be in any crude form. It requires an out of the box thinking along with mastering of Data Science tools and techniques for a Data Scientist to effectively do this job.Why Data Scientists are in constant demand?One of the often-heard questions is “what’s driving this huge demand for Data Science professionals??”. When we analyze this question, the first thought that crosses our mind is the tech giants such as Google, Amazon, etc started witnessing huge success by uncovering the hidden insights from their stored data. It is not only the high-tech Software firms that are looking for Data Scientists also many more businesses started considering Data Analytics as a critical source of success in this highly competitive business market. Ultimately, an exponential rise in the demand for Data Scientists is seen in recent times. However, the biggest challenge that these companies face is the “Limited availability of Skilled Data Science Professionals”. With the Data Science-based jobs witnessing massive growth, there seems to be a huge gap in skilled candidates filling up these positions.What are the different roles available in a Data Science Career? Apart from being a Data Scientist, one can assume many other roles depending upon their line of interest, such as Data Architect, Data Administrator, Data Analyst, Business Analyst, Data/Analytics Manager, Business Intelligence Manager, Big Data Specialists, Machine Learning engineer and more. These roles include a typical entry-level position to a specialist and also the specifics vary from position to position and the career path is fairly open-minded. There are even internships available for an entry role that often lays a better path towards a full-time permanent Data Science job.Under this Data Science broad classification, we will have a detailed look at some highly rated job rolesData Science Engineer: This role demands hardcore technical knowledge and involves dealing with hardware, software applications, and other back end infrastructure process.Data Science developers: The ones who work with codes of Python, R and other Data Science languages and have the ability to use math and statistical technics are Data Science Developers.Data Analyst: Analyzing the data regularly which are obtained from various sources is what an Analyst’s job is all about. In addition, providing Reports with appropriate visualizations that aid the business owners to gain valuable insights.Big Data Specialists: Big Data Specialists are professionals with an in-depth understanding of Machine Learning, Deep Learning, and Neural networks and with an ability to work on big data using various techniques such as Data Mining.Data Scientist: Being a full-stack professional who is equipped with the skills to perform every aspect of Data Science. Starting from identifying the data sources, performing Data Collection, Processing and analyzing the data, building models and finally presenting it using Various Data visualization techniques.How to build a strong base for your Data Science career?This is the most interesting question of the day. Isn’t it?Currently, the Data Science career is the most rewarding career and many professionals are looking for a most promising way to dive into it. To start analyzing the big measure of data floating around, your aggressive edge in understanding few essentials is required.Look for Specific direction: Data Scientist is the common term and there are many sub positions available under this roof. Find out which subfield interests you. Whether you are an avid enthusiast in building a Machine Learning algorithm or interested in analyzing the neural networks of Deep Learning, find the specific niche and start equipping yourself accordingly.Learn the Data Science tools: Data Science is not restricted to working on statistical methods and deriving a formula. Data Scientist is a decision-maker of a company and it is crucial to master the Data Science tools such as SAS, Python, SPSS, R, and SQL along with your Statistics and Applied Mathematics knowledge. In addition, the working experience on Hadoop and Spark, programming languages, understanding of machine learning and deep learning would beneficial.Work upon your Communication skills: The heavy program codes implied on puzzling big chunks of numbers can inspire you but not the Business owners. If you are unable to convey the analyzed information in an easy to understand format to the business owners then you might lose the victory in your data battle. So, ace the ability to present the results in an understandable and easy way for your business owners.Showcase your Data Analytics skills: Never hesitate to explore the data when you get the opportunity to do so. Many Data Science professionals find it difficult to identify where to start once they are done with all the studying. Start identifying the sources of the hidden data that are waiting to be used and apply your skills.To conclude, Data Science is a booming field with lots of career opportunities and it is predicted to even grow more over the coming years. Equipping yourself with needed essential knowledge and practicing your skills will assure you a promising career in the Data Science field.careersdata science careersdata science course data scienceThis is a YourStory community post, written by one of our readers.The images and content in this post belong to their respective owners. If you feel that any content posted here is a violation of your copyright, please write to us at [email protected] and we will take it down. 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Amy JonesTop 10 IoT Solutions Companies For Digital TransformationAmit Solanki5 Tips by Varun Khanna to Make Your Startup Go ViralNeha KapoorOur Partner EventsHustle across IndiaFri Mar 06 2020The Economic Times presents Global Business Summit New Delhi Fri Mar 06 2020Diversity & Inclusion Summit 2020Hyderabad Fri Mar 06 2020Aarambh 2020GurugramSat Mar 07 2020MSME Innovation & Start-up Summit 2nd Edition & #Time2Leap AwardsBengaluruSee all Partner EventsDidn't find what you were looking for?Search for what you want, categories, tags, keywords, authors, events, anything under YourStorySEARCHTopicsTechReviewsGrowth HacksGovernment And LegalAboutAdvertise with usAboutMeet the teamReport an issueSupport CenterContact UsWork with usEvents© 2020 YourStory Media Pvt. Ltd.Privacy Policyv2.1.963Built with ♥ in India | Things to Know about Data Science Career in 2020 | Things Know Data Science Career 2020 YourStoryAcademyHerStorySocialStorySMBStoryYourStoryTVMoreAwardsAdvertise With UsAutoStoryMyStoryWeekenderJournalYS KoreaDeutschlandGermanyEventsVisualLanguageEnglishKannadaHindiAsamiyaBanglaGujaratiMalayalamMarathiOdiaPunjabiTeluguUrduLanguageEnglishKannadaHindiAsamiyaBanglaGujaratiMalayalamMarathiOdiaPunjabiTeluguUrduOpinionThings Know Data Science Career 2020What Data Science? career? What skills required data scientist? If similar kind questions article.By Sagar5th Mar 20200 Share on0 Share onShare onData exploding millisecond need analyze increasing exponentially. When organizations desperately looking intellectually curious Data Science professionals juggle stored data, able hire skilled Data Science professionals ease? The sad truth no, because? Data Science new field professionals puzzled equip essential job skills career. Well, Sexiest job 21st century isnt hard crack read article.First, let Data Science aboutWhat Data Science?Do know worlds tiniest product sold market delivering huge chunks usable customer data manufacturer?? All procured data safely stored companys database awaiting turn analyzed. When start analyzing stored data, gain actionable insights help enhancing profit business.Data Science multidisciplinary approach combines power statistics programming work raw data producing actionable business insights. Harnessing raw data easy sounds. The data structured form crude form. It requires box thinking mastering Data Science tools techniques Data Scientist effectively job.Why Data Scientists constant demand?One oftenheard questions whats driving huge demand Data Science professionals??. When analyze question, thought crosses mind tech giants Google, Amazon, started witnessing huge success uncovering hidden insights stored data. It hightech Software firms looking Data Scientists businesses started considering Data Analytics critical source success highly competitive business market. Ultimately, exponential rise demand Data Scientists seen recent times. However, biggest challenge companies face Limited availability Skilled Data Science Professionals. With Data Sciencebased jobs witnessing massive growth, huge gap skilled candidates filling positions.What different roles available Data Science Career? Apart Data Scientist, assume roles depending line interest, Data Architect, Data Administrator, Data Analyst, Business Analyst, DataAnalytics Manager, Business Intelligence Manager, Big Data Specialists, Machine Learning engineer more. These roles include typical entrylevel position specialist specifics vary position position career path fairly openminded. There internships available entry role lays better path fulltime permanent Data Science job.Under Data Science broad classification, detailed look highly rated job rolesData Science Engineer: This role demands hardcore technical knowledge involves dealing hardware, software applications, end infrastructure process.Data Science developers: The ones work codes Python, R Data Science languages ability use math statistical technics Data Science Developers.Data Analyst: Analyzing data regularly obtained sources Analysts job about. In addition, providing Reports appropriate visualizations aid business owners gain valuable insights.Big Data Specialists: Big Data Specialists professionals indepth understanding Machine Learning, Deep Learning, Neural networks ability work big data techniques Data Mining.Data Scientist: Being fullstack professional equipped skills perform aspect Data Science. Starting identifying data sources, performing Data Collection, Processing analyzing data, building models finally presenting Various Data visualization techniques.How build strong base Data Science career?This interesting question day. Isnt it?Currently, Data Science career rewarding career professionals looking promising way dive it. To start analyzing big measure data floating around, aggressive edge understanding essentials required.Look Specific direction: Data Scientist common term sub positions available roof. Find subfield interests you. Whether avid enthusiast building Machine Learning algorithm interested analyzing neural networks Deep Learning, specific niche start equipping accordingly.Learn Data Science tools: Data Science restricted working statistical methods deriving formula. Data Scientist decisionmaker company crucial master Data Science tools SAS, Python, SPSS, R, SQL Statistics Applied Mathematics knowledge. In addition, working experience Hadoop Spark, programming languages, understanding machine learning deep learning beneficial.Work Communication skills: The heavy program codes implied puzzling big chunks numbers inspire Business owners. If unable convey analyzed information easy understand format business owners lose victory data battle. So, ace ability present results understandable easy way business owners.Showcase Data Analytics skills: Never hesitate explore data opportunity so. Many Data Science professionals difficult identify start studying. Start identifying sources hidden data waiting apply skills.To conclude, Data Science booming field lots career opportunities predicted grow coming years. Equipping needed essential knowledge practicing skills assure promising career Data Science field.careersdata science careersdata science course data scienceThis YourStory community post, written readers.The images content post belong respective owners. If feel content posted violation copyright, write mystory down. There commercial exchange YourStory publication article.0 Share on0 Share onShare onTrending NowTrending StoriesTop 5 Startup Ideas Start Home 2020Neha KapoorRohitash Jadhav Viral Mania Uncovers Strategies Grow Business Using FacebookNeha KapoorTop 10 IoT Solutions Companies For Digital TransformationAmit Solanki8 Tips Expand Your Online Hotel Business Worldwide Without Losing ProfitsSpotnStay AppDaily CapsuleHow social commerce startups taking India stormRead HereLatestUpdates worldTop Reasons Using Blockchain Healthcarenimble appgenieThe Value Email Marketing current Social Media UprisingSofia WiltonWhy You Need To Consider These Dos Dont An App DevelopmentMolly JonesLegal Guide To Start Your Business Amy JonesTop 10 IoT Solutions Companies For Digital TransformationAmit Solanki5 Tips Varun Khanna Make Your Startup Go ViralNeha KapoorOur Partner EventsHustle IndiaFri Mar 06 2020The Economic Times presents Global Business Summit New Delhi Fri Mar 06 2020Diversity lusion Summit 2020Hyderabad Fri Mar 06 2020Aarambh 2020GurugramSat Mar 07 2020MSME Innovation Startup Summit 2nd Edition Time2Leap AwardsBengaluruSee Partner EventsDidnt looking for? want, categories, tags, keywords, authors, events, YourStorySEARCHTopicsTechReviewsGrowth HacksGovernment And LegalAboutAdvertise usAboutMeet teamReport issueSupport Center UsWork usEvents 2020 YourStory Media Pvt. Ltd.v2.1.963Built India | 2,020 | [
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https://www.businessinsider.com/survey-transformers-reveals-business-leaders-prioritize-ai-investment | 2020-12-21T00:00:00 | en | Survey reveals business leaders are prioritizing AI investment - Business Insider |
Survey reveals business leaders are prioritizing AI investment - Business Insider
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Enterprise
Survey of Transformers reveals that business leaders are prioritizing AI investment
Joe Mullich
2020-12-21T21:31:37Z
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Flippy demonstrates its skills at a fryer.
Miso Robotics
As part of Business Insider's Transforming Business series, we surveyed 53 of the Transformers to gain insights on their leadership strategies, goals for the future, and important challenges ahead.
Nearly half of the people surveyed see AI and the cloud as a top driver of transformation that they will invest in during 2021.
The pandemic has caused companies to embrace AI-driven automation for many new tasks, like robots that cook hamburgers.
AI is helping companies make faster, more informed decisions. They can "collaborate, communicate, and contribute" as a result.
The underpinnings of AI – like cleaning data and moving data to the cloud for analysis – are not trivial.
Visit Business Insider's Transforming Business homepage for more stories.
There aren't many places that are harder to social distance in than the kitchen of a burger joint. However, that's not an issue for a hard-working fry cook named "Flippy." The robotic grilling assistant is paving the way for greater use of artificial intelligence and cloud technology in the restaurant industry. Don't let the name fool you, though. Flippy does a lot more than just flip patties. The robot also analyzes how many orders are in the queue. It times the cooking of the burgers and fries, so everything comes out exactly when an Uber Eats driver arrives to pick them up."When the pandemic began, we froze and got nervous," said Buck Jordan, founder of Pasadena, CA-based Miso Robotics, which makes Flippy. "But then demand exploded. Social distancing in a confined space like a kitchen is almost impossible. People realized they needed automation immediately."Restaurants aren't alone in embracing game-changing AI technology. According to a Business Insider survey of 53 leaders featured in the Transforming Business series, AI and the cloud is the second top driver of transformation that companies will invest in during 2021. It's on the agenda of 47% of those surveyed.
With workers needing to stay home or stay apart, the pandemic has showcased the need for AI-driven automation in kitchens, warehouses, and other places that have traditionally depended on many human workers. "There is more data available than ever before, and that can provide more insights than ever before," Jordan said. The power of the cloud to crunch the massive data that AI needs is leading to remarkable technology improvements. Consider Flippy. With 3D and thermal scanners for eyes and a cloud-connected AI for a brain, it can make all the little decisions that come instantly to humans but have been difficult for robots to emulate. "Flippy is gamifying in its head how and when to cook," Jordan said. "There is a ton of decision-making going on in Flippy's brain." AI allows Flippy to identify objects in front of it, rather than needing to have them lined up. Flippy knows when to use a spatula to flip burgers and tongs to grip the handle of the fryer basket. It can prepare 19 different foods, including chicken wings and onion rings. The robot can even make the Impossible Burger, which is tricky to grill to perfection.Fortunately, AI also allows Flippy to learn from its mistakes. Food becomes more consistent over time, reducing costly waste. That's not the only advance in the technology. The original incarnation of Flippy was a cart on wheels. Jordan tweaked the design so restaurants could use an upside-down robotic arm that was mounted onto a rail. That opened additional floor space and gave human workers more room.
In many industries, AI is powering not only robots and devices, but decision-making. Jimmy Kim, cofounder of the Seoul-based global accelerator and venture capital fund SparkLabs, says information and artificial intelligence are keys to helping companies "communicate, collaborate, and contribute" in a time of limited personal interaction. "When sales are dropping, people need to make faster and more informed decisions," he said. "AI can help with that." Targeted use of AI – such as Flippy – resonates with Kim. "Artificial Intelligence isn't like 'Lord of the Rings' where there will be one ring for everyone," he said. "Everyone will have to fine-tune the technology to their specific needs." Sparkslab has worked with startups that use AI technology for purposes as diverse as managing documents and improving agricultural yield through better soil management.That said, Kim thinks AI is too often looked on as a panacea. Kim says companies sometimes underestimate the difficulty of the behind-the-scenes stuff, like cleaning their data and migrating it to the cloud for analysis.AI practitioners understand the challenges, but they aren't daunted by them. Flippy was born when a friend told Jordan it was impossible to build a robot that could flip a burger. They made a bet on that prediction. Fast forward to this July: White Castle, the country's first fast-food restaurant chain, launched a pilot with Flippy, as it reexamined its business practices in light of Covid-19.
"When we introduced Flippy, a lot of people thought it was a gimmick," Jordan said. "Now one of our customers is the chain that invented the fast food industry 100 years ago. That's what I call transformation."
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| Survey reveals business leaders are prioritizing AI investment | Survey reveals business leaders prioritizing AI investment Business Insider Business Insider logo The words Business Insider. Close icon Two crossed lines form X. It indicates way close interaction, dismiss notification. Menu icon A vertical stack evenly spaced horizontal lines. icon A magnifying glass. It indicates, Click perform search. Business Insider logo The words Business Insider. Account icon An icon shape persons head shoulders. It indicates user profile. BI Prime Intelligence Log Account icon An icon shape persons head shoulders. It indicates user profile. Business The word Business Life The word Life News The word News icon A magnifying glass. It indicates, Click perform search. Insider logo The word Insider. Close icon Two crossed lines form X. It indicates way close interaction, dismiss notification. 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It indicates user profile. Log Newsletters World globe An icon world globe, indicating different international options. US Edition US INTL Australia Deutschland sterreich Espaa France India Italia Japan Mxico Nederland Nordic Polska South Africa A leadingedge research firm focused digital transformation. See Research Facebook Icon The letter F. Twitter icon A stylized bird open mouth, tweeting. LinkedIn icon The word in. YouTube icon A play button shape television screen. Instagram icon A stylized camera. 2020. . Registration use site constitutes acceptance , Policy. Sitemap Disclaimer Commerce Policy CA Privacy Rights Coupons Made NYC Jobs Stock quotes Reprints Permissions Business Insider logo The words Business Insider. Close icon Two crossed lines form X. It indicates way close interaction, dismiss notification. Good r Account active Edit Account Premium Articles Upgrade Membership Email Preferences My Subscription FAQs Logout DOW SP 500 NASDAQ 100 Chevron icon It indicates expandable section menu, previous navigation options. HOMEPAGE Home Chevron icon It indicates expandable section menu, previous navigation options. Enterprise Survey Transformers reveals business leaders prioritizing AI investment Joe Mullich 20201221T21:31:37Z Facebook Icon The letter F. Email icon An envelope. It indicates ability send email. Link icon An image chain link. It symobilizes website link url. Twitter icon A stylized bird open mouth, tweeting. LinkedIn icon The word in. Fliboard icon A stylized letter F. More icon Three evenly spaced dots forming ellipsis: .... Close icon Two crossed lines form X. It indicates way close interaction, dismiss notification. Flippy demonstrates skills fryer. Miso Robotics As Business Insiders Transforming Business series, surveyed 53 Transformers gain insights leadership strategies, goals future, important challenges ahead. Nearly half people surveyed AI cloud driver transformation invest 2021. The pandemic caused companies embrace AIdriven automation new tasks, like robots cook hamburgers. AI helping companies faster, informed decisions. They collaborate, communicate, contribute result. The underpinnings AI like cleaning data moving data cloud analysis trivial. Visit Business Insiders Transforming Business home stories. There arent places harder social distance kitchen burger joint. However, thats issue hardworking fry cook named Flippy. The robotic grilling assistant paving way greater use artificial intelligence cloud technology restaurant industry.Dont let fool you, though. Flippy lot flip patties. The robot analyzes orders queue. It times cooking burgers fries, comes exactly Uber Eats driver arrives pick up.When pandemic began, froze got nervous, said Buck Jordan, founder Pasadena, CAbased Miso Robotics, makes Flippy. But demand exploded. Social distancing confined space like kitchen impossible. People realized needed automation immediately.Restaurants arent embracing gamechanging AI technology. According Business Insider survey 53 leaders featured Transforming Business series, AI cloud second driver transformation companies invest 2021. Its agenda 47 surveyed. With workers needing stay home stay apart, pandemic showcased need AIdriven automation kitchens, warehouses, places traditionally depended human workers. There data available before, provide insights before, Jordan said. The power cloud crunch massive data AI needs leading remarkable technology improvements. Consider Flippy. With 3D thermal scanners eyes cloudconnected AI brain, little decisions come instantly humans difficult robots emulate. Flippy gamifying head cook, Jordan said. There ton decisionmaking going Flippys brain.AI allows Flippy identify objects it, needing lined up. Flippy knows use spatula flip burgers tongs grip handle fryer basket. It prepare 19 different foods, including chicken wings onion rings. The robot Impossible Burger, tricky grill perfection.Fortunately, AI allows Flippy learn mistakes. Food consistent time, reducing costly waste. Thats advance technology. The original incarnation Flippy cart wheels. Jordan tweaked design restaurants use upsidedown robotic arm mounted rail. That opened additional floor space gave human workers room. In industries, AI powering robots devices, decisionmaking. Jimmy Kim, cofounder Seoulbased global accelerator venture capital fund SparkLabs, says information artificial intelligence keys helping companies communicate, collaborate, contribute time limited personal interaction. When sales dropping, people need faster informed decisions, said. AI help that.Targeted use AI Flippy resonates Kim. Artificial Intelligence isnt like Lord Rings ring everyone, said. Everyone finetune technology specific needs. Sparkslab worked startups use AI technology purposes diverse managing documents improving agricultural yield better soil management.That said, Kim thinks AI looked panacea. Kim says companies underestimate difficulty behindthescenes stuff, like cleaning data migrating cloud analysis.AI practitioners understand challenges, arent daunted them. Flippy born friend told Jordan impossible build robot flip burger. They bet prediction. Fast forward July: White Castle, countrys fastfood restaurant chain, launched pilot Flippy, reexamined business practices light Covid19. When introduced Flippy, lot people thought gimmick, Jordan said. Now customers chain invented fast food industry 100 years ago. Thats I transformation. Newsletter Start day morning cheat sheet. Sign 10 Things Tech You Need To Know. Loading Something loading. Email address By clicking Sign up, agree receive marketing emails Business Insider partner offers accept . SEE ALSO: Survey reveals business leaders think new kinds business partnerships driving innovation pandemic More: TB2020 Edit Series SPINGWB2020 ING Generic TB2020 Enterprise Tech Survey Artificial Intelligence Chevron icon It indicates expandable section menu, previous navigation options. Close icon Two crossed lines form X. It indicates way close interaction, dismiss notification. Follow on: Also check out: 2020 Insider . . Registration use site constitutes acceptance , Policy . Sitemap Disclaimer Commerce Policy CA Privacy Rights Coupons Made NYC Jobs Stock quotes Reprints Permissions International Editions: United States US International INTL sterreich AT Australia AUS Deutschland DE Espaa ES France FR India IN Italy IT Japan JP Mxico MX Netherlands NL Nordic SE Polska PL South Africa ZA | 2,020 | [
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] | 1 | NEGATIVE | 10 |
https://thedailychronicle.in/news/2786770/growth-of-artificial-intelligence-in-telecommunication-market-2020-2027-covid-19-impact-factors-and-major-companies-analysis/ | 2020-12-23T00:00:00 | en | Growth of Artificial Intelligence in Telecommunication Market 2020-2027 (COVID-19 Impact) Factors and Major Companies Analysis- – The Daily Chronicle |
Growth of Artificial Intelligence in Telecommunication Market 2020-2027 (COVID-19 Impact) Factors and Major Companies Analysis- – The Daily Chronicle
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Growth of Artificial Intelligence in Telecommunication Market 2020-2027 (COVID-19 Impact) Factors and Major Companies Analysis-
Post author
By Mayur
Post date
23rd December 2020
The Artificial Intelligence in Telecommunication Market research report includes Market segmentation and overlays shadow upon the leading market players highlighting the favorable competitive landscape and trends prevailing over the years. This study provides information about the sales and revenue during the historic and forecasted period of 2019 to 2027. Understanding the segments helps in identifying the importance of different factors that aid the Artificial Intelligence in Telecommunication market growth.
The artificial intelligence (AI) is an advanced technology that has decision-making ability. The technology focuses on creating intelligent machines with advanced features like image recognition, speech recognition, visual perception, and translation between languages. The artificial intelligence in telecommunication has the potential to change the operation and functioning of various industry sectors owing to the immense potential it holds to achieve a breakthrough for various ideas. The artificial intelligence in telecommunication, in particular, has wide scope for the application of in the front end, customer service, or network performance.
The utilization of AI-enabled smartphones and an increase in the adoption of Artificial Intelligence (AI) for various applications in the telecommunication industry are some of the significant factors driving the growth of the artificial intelligence in the telecommunication market. Furthermore, the increasing necessity to monitor content on the telecommunication network and surge to eradicate human error from the telecommunication networks are other factors driving the global AI in the telecommunication market. Moreover, the initiation of 5G technologies in mobile networks is anticipated to give a great boost to AI in the telecommunication market.
Get a Sample Report “Artificial Intelligence in Telecommunication Market” to 2027 @ https://www.theinsightpartners.com/sample/TIPTE100001302/
Artificial Intelligence in Telecommunication Market 2020-2027 Global Industry research report explores analysis of historical data along with size, share, growth, demand and revenue of the global Artificial Intelligence in Telecommunication and estimates the future trend of market on the basis of this detailed study. The study shares market performance both in terms of volume and revenue and this factor which is useful & helpful to the business.
The report also includes the profiles of key digital advertising companies along with their SWOT analysis and market strategies. In addition, the report focuses on leading industry players with information such as company profiles, components and services offered, financial information of last 3 years, key development in past five years.
Top Players Analysis:
Anodot, Ltd., Cisco Systems, Inc., Guardian Analytics, Happiest Minds, Hewlett Packard Enterprise Company, IBM Corporation, SAS Institute Inc., Symantec Corporation, Trustwave Holdings, Inc., and Wipro Limited among others
Global Artificial Intelligence in Telecommunication Market: Regional Analysis
The report offers in-depth assessment of the growth and other aspects of the Artificial Intelligence in Telecommunication market in important regions. Key regions covered in the report are North America, Europe, Asia-Pacific and Latin America.
The report has been curated after observing and studying various factors that determine regional growth such as economic, environmental, social, technological, and political status of the particular region. Analysts have studied the data of revenue, production, and manufacturers of each region. This section analyses region-wise revenue and volume for the forecast period of 2019 to 2027. These analyses will help the reader to understand the potential worth of investment in a particular region.
Global Artificial Intelligence in Telecommunication Market: Competitive Landscape
This section of the report identifies various key manufacturers of the market. It helps the reader understand the strategies and collaborations that players are focusing on combat competition in the market. The comprehensive report provides a significant microscopic look at the market. The reader can identify the footprints of the manufacturers by knowing about the global revenue of manufacturers, during the forecast period of 2019 to 2027.
Our reports will help clients solve the following issues: –
Insecurity about the future:
Our research and insights help our clients anticipate upcoming revenue compartments and growth ranges. This will help our clients invest or divest their assets.
Understanding market opinions:
It is extremely vital to have an impartial understanding of market opinions for a strategy. Our insights provide a keen view on the market sentiment. We keep this reconnaissance by engaging with Key Opinion Leaders of a value chain of each industry we track.
Understanding the most reliable investment centers:
Our research ranks investment centers of market by considering their future demands, returns, and profit margins. Our clients can focus on most prominent investment centers by procuring our market research.
Evaluating potential business partners:
Our research and insights help our clients identify compatible business partners.
NOTE: Our team is studying Covid-19 and its impact on various industry verticals and wherever required we will be considering Covid-19 analysis of markets and industries. Cordially get in touch for more details.
Leading market players and manufacturers are studied to help give a brief idea about them in the report. The challenges faced by them and the reasons they are on that position is explained to help make a well informed decision. Competitive landscape of Brown Sugar market is given presenting detailed insights into the company profiles, developments, merges, acquisitions, economic status and best SWOT analysis.
NOTE: Our team is studying Covid-19 and its impact on various industry verticals and wherever required we will be considering Covid-19 analysis of markets and industries. Cordially get in touch for more details.
Purchase a Copy of this research @ https://www.theinsightpartners.com/BUY/TIPTE100001302/
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The Insight Partners is a one stop industry research provider of actionable intelligence. We help our clients in getting solutions to their research requirements through our wide range of research services. We specialize in industries such as Semiconductor and Electronics, Aerospace and Defense, Automotive and Transportation, Biotechnology, Healthcare IT, Manufacturing and Construction, Medical Device, Technology, Media and Telecommunications, Chemicals and Materials.
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| Growth of Artificial Intelligence in Telecommunication Market 2020-2027 (COVID-19 Impact) Factors and Major Companies Analysis- | Growth Artificial Intelligence Telecommunication Market 20202027 COVID19 Impact Factors Major Companies Analysis The Daily Chronicle Skip content The Daily ChronicleScience, Satellite Space Daily News Menu Energy NASA Satellite Space News Market Reports for: Close search Close Menu Energy NASA Satellite Space News Market Reports Categories News Growth Artificial Intelligence Telecommunication Market 20202027 COVID19 Impact Factors Major Companies Analysis Post author By Mayur Post date 23rd December 2020 The Artificial Intelligence Telecommunication Market research report includes Market segmentation overlays shadow leading market players highlighting favorable competitive landscape trends prevailing years. This study provides information sales revenue historic forecasted period 2019 2027. Understanding segments helps identifying importance different factors aid Artificial Intelligence Telecommunication market growth. The artificial intelligence AI advanced technology decisionmaking ability. The technology focuses creating intelligent machines advanced features like image recognition, speech recognition, visual perception, translation languages. The artificial intelligence telecommunication potential change operation functioning industry sectors owing immense potential holds achieve breakthrough ideas. The artificial intelligence telecommunication, particular, wide scope application end, customer service, network performance. The utilization AIenabled smartphones increase adoption Artificial Intelligence AI applications telecommunication industry significant factors driving growth artificial intelligence telecommunication market. Furthermore, increasing necessity monitor content telecommunication network surge eradicate human error telecommunication networks factors driving global AI telecommunication market. Moreover, initiation 5G technologies mobile networks anticipated great boost AI telecommunication market. Get Sample Report Artificial Intelligence Telecommunication Market 2027 @ Artificial Intelligence Telecommunication Market 20202027 Global Industry research report explores analysis historical data size, share, growth, demand revenue global Artificial Intelligence Telecommunication estimates future trend market basis detailed study. The study shares market performance terms volume revenue factor useful helpful business. The report includes profiles key digital advertising companies SWOT analysis market strategies. In addition, report focuses leading industry players information company profiles, components services offered, financial information 3 years, key development past years. Top Players Analysis: Anodot, Ltd., Cisco Systems, ., Guardian Analytics, Happiest Minds, Hewlett Packard Enterprise Company, IBM Corporation, SAS Institute ., Symantec Corporation, Trustwave Holdings, ., Wipro Limited Global Artificial Intelligence Telecommunication Market: Regional Analysis The report offers indepth assessment growth aspects Artificial Intelligence Telecommunication market important regions. Key regions covered report North America, Europe, AsiaPacific Latin America. The report curated observing studying factors determine regional growth economic, environmental, social, technological, political status particular region. Analysts studied data revenue, production, manufacturers region. This section analyses regionwise revenue volume forecast period 2019 2027. These analyses help reader understand potential worth investment particular region. Global Artificial Intelligence Telecommunication Market: Competitive Landscape This section report identifies key manufacturers market. It helps reader understand strategies collaborations players focusing combat competition market. The comprehensive report provides significant microscopic look market. The reader identify footprints manufacturers knowing global revenue manufacturers, forecast period 2019 2027. Our reports help clients solve following issues: Insecurity future: Our research insights help clients anticipate upcoming revenue compartments growth ranges. This help clients invest divest assets. Understanding market opinions: It extremely vital impartial understanding market opinions strategy. Our insights provide keen view market sentiment. We reconnaissance engaging Key Opinion Leaders value chain industry track. Understanding reliable investment centers: Our research ranks investment centers market considering future demands, returns, profit margins. Our clients focus prominent investment centers procuring market research. Evaluating potential business partners: Our research insights help clients identify compatible business partners. NOTE: Our team studying Covid19 impact industry verticals required considering Covid19 analysis markets industries. Cordially touch details. Leading market players manufacturers studied help brief idea report. The challenges faced reasons position explained help informed decision. Competitive landscape Brown Sugar market given presenting detailed insights company profiles, developments, merges, acquisitions, economic status best SWOT analysis. NOTE: Our team studying Covid19 impact industry verticals required considering Covid19 analysis markets industries. Cordially touch details. Purchase Copy research @ : The Insight Partners stop industry research provider actionable intelligence. We help clients getting solutions research requirements wide range research services. We specialize industries Semiconductor Electronics, Aerospace Defense, Automotive Transportation, Biotechnology, Healthcare IT, Manufacturing Construction, Medical Device, Technology, Media Telecommunications, Chemicals Materials. US: The Insight partners, Phone: 16464919876 Email:[emailprotected] Website: Tags Artificial Intelligence Telecommunication Smart Learning Systems Market Report TopCompanies Offerings And Market By EndUser Segments Forecasted Till 2026Educomp Solutions, NIIT Limited, Scholastic Corporation for: Recent Posts Growth Artificial Intelligence Telecommunication Market 20202027 COVID19 Impact Factors Major Companies Analysis Smart Learning Systems Market Report TopCompanies Offerings And Market By EndUser Segments Forecasted Till 2026Educomp Solutions, NIIT Limited, Scholastic Corporation Printed Circuit Borard PCB Design Software Market Research Report: Probable Key Development To Be Observed Market States And Outlook Across By 2026Mentor Graphics, Zuken, Altium Precision FarmingAgriculture Market 20202026: Key Vendor Landscape By Regional Output, Demand By Countries And Future GrowthDeere Company U.S., SST Development Group, . 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] | 1 | POSITIVE | 11 |
https://nysenewstimes.com/global-cleaning-service-software-market-is-accounted-for-xx-usd-million-in-2019-and-is-expected-to-reach-xx-usd-million-by-2025-growing-at-a-cagr-of-xx-jobber-serviceworks-gocanvas-ai-field-manag/ | 2020-03-26T00:00:00 | en | Global Cleaning Service Software Market is accounted for xx USD million in 2019 and is expected to reach xx USD million by 2025 growing at a CAGR of xx% : Jobber, ServiceWorks, GoCanvas, Ai Field Management, Housecall Pro, etc. – Nyse News Times |
Global Cleaning Service Software Market is accounted for xx USD million in 2019 and is expected to reach xx USD million by 2025 growing at a CAGR of xx% : Jobber, ServiceWorks, GoCanvas, Ai Field Management, Housecall Pro, etc. – Nyse News Times
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Global Cleaning Service Software Market is accounted for xx USD million in 2019 and is expected to reach xx USD million by 2025 growing at a CAGR of xx% : Jobber, ServiceWorks, GoCanvas, Ai Field Management, Housecall Pro, etc.
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The Global Cleaning Service Software market report offers a complete overview of various aspects. The report includes the major market conditions across the globe such as the product profit, price, production, capacity, demand, supply, as well as market growth structure. In addition, this report offers significant data through the SWOT analysis and Porter’s five forces investment return data, and investment feasibility analysis. The Cleaning Service Software market study is a major compilation of significant information with respect to the competitor details of this market.
This study covers following key players:
Jobber
ServiceWorks
GoCanvas
Ai Field Management
Housecall Pro
WorkWave Service
Mobiwork MWS
Service Cloud Field Service
Payzerware
Vonigo
CBOS
ServiceVelocity
Swept
vx Field
IFS Field Service Management
High Point GPS
Verizon Connect
Freshdesk
eMaint X3
ScheduFlow
Request a sample of this report @ https://www.orbismarketreports.com/sample-request/92592?utm_source=Pooja
The Global Cleaning Service Software market report covers deep insights into various vital aspects of the market. Report of Cleaning Service Software provides the summarized study of several factors encouraging the growth of the market such as manufacturers, market size, types, applications, and regions. Likewise, to assess the market size, this study offers a precise analysis of the provider’s landscape as well as a corresponding detailed study about the manufacturers operating in the Cleaning Service Software market. Moreover, in the past few years owing to the new innovations and strategic ideas the Cleaning Service Software market has recorded a significant development and is anticipated to further rise over the forecast period. Likewise, the information is also inclusive of the several regions where the global Cleaning Service Software market has successfully gained the position.
Market segment by Type, the product can be split into
On Cloud
On Premise
Market segment by Application, split into
Large Enterprises
Small and Medium-sized Enterprises(SMEs)
The Cleaning Service Software market report offers an in-depth analysis of the cost structure, market size, and PESTEL analysis which offers market outlook. Likewise, the global Cleaning Service Software market report focuses on the major economies across the globe. Geographically, the Cleaning Service Software market report covers the key regions and countries along with their revenue analysis. Using the report, the consumer can identify several key dynamics of the market that holds an effective impact and govern. Moreover, the report is describing several types of Cleaning Service Software market. Likewise, this report includes primary and secondary drivers, leading segments, market share, drivers, and the geographical landscape of the Cleaning Service Software market. This study offers separate analysis of the major trends in the existing market, mandates, and regulations, micro & macroeconomic indicators are also comprised in the global Cleaning Service Software market report. By doing so, the study estimated the attractiveness of every major segment during the prediction period.
Access Complete Report @ https://www.orbismarketreports.com/global-cleaning-service-software-market-growth-analysis-by-trends-and-forecast-2019-2025utm_source=Pooja
The research report of the global Cleaning Service Software market comprises significant insights for the clients and vendors that are looking to maintain their market position as well as to expand the business in the current and upcoming market scenario. Furthermore, the report provides a detailed study of the facts and figures, as viewers search for the scope in market growth related to the category of the product.
The global Cleaning Service Software market report is designed through detailed qualitative insights, verifiable projections, and historical data about the Cleaning Service Software market size. This research report evaluates the market growth rate and the industry value on the basis of growth-inducing factors, market dynamics, and other related data. Furthermore, the report covers all the rules and regulations by the government which is likely to impact the market dynamics across the globe. In addition, the government, policymakers and other regulatory associations are taking initiatives to promote the Cleaning Service Software market. Hence, the study report on the global Cleaning Service Software market is beneficial for teachers, financial experts, and other organizations.
Some Major TOC Points:
1 Report Overview
2 Global Growth Trends
3 Market Share by Key Players
4 Breakdown Data by Type and Application
…
Continued
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| Global Cleaning Service Software Market is accounted for xx USD million in 2019 and is expected to reach xx USD million by 2025 growing at a CAGR of xx% : Jobber, ServiceWorks, GoCanvas, Ai Field Management, Housecall Pro, etc. | Global Cleaning Service Software Market accounted xx USD million 2019 expected reach xx USD million 2025 growing CAGR xx : Jobber, ServiceWorks, GoCanvas, Ai Field Management, Housecall Pro, etc. Nyse News Times Skip content Thursday, March 26, 2020 Home Our Journalist Disclaimer Us Nyse News Times Market News Research Nyse News Times Market News Research Business News Industry Reports Investing Market Analysis Market Outlook Stocks News Industry Analysis Market Research Business News Global Cleaning Service Software Market accounted xx USD million 2019 expected reach xx USD million 2025 growing CAGR xx : Jobber, ServiceWorks, GoCanvas, Ai Field Management, Housecall Pro, etc. anita March 26, 2020 No Comments The Global Cleaning Service Software market report offers complete overview aspects. The report includes major market conditions globe product profit, price, production, capacity, demand, supply, market growth structure. In addition, report offers significant data SWOT analysis Porters forces investment return data, investment feasibility analysis. The Cleaning Service Software market study major compilation significant information respect competitor details market. This study covers following key players: Jobber ServiceWorks GoCanvas Ai Field Management Housecall Pro WorkWave Service Mobiwork MWS Service Cloud Field Service Payzerware Vonigo CBOS ServiceVelocity Swept vx Field IFS Field Service Management High Point GPS Verizon Connect Freshdesk eMaint X3 ScheduFlow Request sample report @ The Global Cleaning Service Software market report covers deep insights vital aspects market. Report Cleaning Service Software provides summarized study factors encouraging growth market manufacturers, market size, types, applications, regions. Likewise, assess market size, study offers precise analysis providers landscape corresponding detailed study manufacturers operating Cleaning Service Software market. Moreover, past years owing new innovations strategic ideas Cleaning Service Software market recorded significant development anticipated rise forecast period. Likewise, information inclusive regions global Cleaning Service Software market successfully gained position. Market segment Type, product split On Cloud On Premise Market segment Application, split Large Enterprises Small Mediumsized EnterprisesSMEs The Cleaning Service Software market report offers indepth analysis cost structure, market size, PESTEL analysis offers market outlook. Likewise, global Cleaning Service Software market report focuses major economies globe. Geographically, Cleaning Service Software market report covers key regions countries revenue analysis. Using report, consumer identify key dynamics market holds effective impact govern. Moreover, report describing types Cleaning Service Software market. Likewise, report includes primary secondary drivers, leading segments, market share, drivers, geographical landscape Cleaning Service Software market. This study offers separate analysis major trends existing market, mandates, regulations, micro macroeconomic indicators comprised global Cleaning Service Software market report. By so, study estimated attractiveness major segment prediction period. Access Complete Report @ The research report global Cleaning Service Software market comprises significant insights clients vendors looking maintain market position expand business current upcoming market scenario. Furthermore, report provides detailed study facts figures, viewers search scope market growth related category product. The global Cleaning Service Software market report designed detailed qualitative insights, verifiable projections, historical data Cleaning Service Software market size. This research report evaluates market growth rate industry value basis growthinducing factors, market dynamics, related data. Furthermore, report covers rules regulations government likely impact market dynamics globe. In addition, government, policymakers regulatory associations taking initiatives promote Cleaning Service Software market. Hence, study report global Cleaning Service Software market beneficial teachers, financial experts, organizations. Some Major TOC Points: 1 Report Overview 2 Global Growth Trends 3 Market Share Key Players 4 Breakdown Data Type Application Continued For Enquiry buying report @ : With unfailing market gauging skills, excelling curating tailored business intelligence data industry verticals. Constantly thriving expand skill development, strength lies dedicated intellectuals dynamic problem solving intent, willing mold boundaries scale heights market interpretation. Us : Hector Costello Senior Manager Client Engagements 4144N Central Expressway, Suite 600, Dallas, Texas 75204, U.S.A. Phone No.: USA: 1 9723628199 IND: 91 895 659 5155 Leave Reply Cancel reply Your email address published. Required fields marked Comment Name Email Website Post navigation Previous Previous post: Global Property Management Apps Market accounted xx USD million 2019 expected reach xx USD million 2025 growing CAGR xx : Buildium, Propertyware, Rentroom, Yardi Breeze, Rentec Direct, etc.Next Next post: Global HVAC GPS Tracking Software Market accounted xx USD million 2019 expected reach xx USD million 2025 growing CAGR xx : mHelpDesk, Housecall Pro, WorkWave Service, Service Fusion, Jobber, etc. Recent Posts Global Rigid Mechanical Couplings Market Report 2020 Market Positioning Key Vendors: 0,,,,, etc. Latest News 2020: Ridge Vents Market analysis Top Manufacturers: 0,,,,, etc. Excellent Growth Rhematoid Arthritis Drugs Market Global Forecasts 2020 2026 Business Players: 0,,,,, etc. Styrene Acrylic Emulsions Market Sophisticated Demand Key Performers 2025 RFID Tag Chips Market Emerging Trends, Size, Share Growth Analysis 2025 Founded 2018, Nyse News Times focuses company news, research analysis, important recentlys uncertain investment environment. We provide comprehensive coverage important news counting business, earnings reports, dividend, Acquisition Merger global news. Our awardwinning analysts contributors believe producing distributing highquality news economic research broad audience diverse distribution networks channels. March 2020 M T W T F S S Feb 1 2345678 9101112131415 16171819202122 23242526272829 3031 Categories Business News Featured Industry Analysis Industry Reports Investing Market Analysis Market Outlook Market Research Stocks News Technology Home Our Journalist Disclaimer Us Nyse News Times Designed by: Theme Freesia WordPress All right reserved Top | 2,020 | [
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https://www.prnewswire.com:443/news-releases/blockchain-ai-market-worth-703-million-by-2025--exclusive-report-by-marketsandmarkets-301169651.html | 2020-11-10T00:00:00 | en | Blockchain AI Market worth $703 million by 2025 - Exclusive Report by MarketsandMarkets™ |
Blockchain AI Market worth $703 million by 2025 - Exclusive Report by MarketsandMarkets™
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Blockchain AI Market worth $703 million by 2025 - Exclusive Report by MarketsandMarkets™
News provided by
MarketsandMarkets
Nov 10, 2020, 11:30 ET
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CHICAGO, Nov. 10, 2020 /PRNewswire/ -- According to the new market research report "Blockchain AI Market by Technology (ML & NLP), Component (Platform/Tools & Services), Deployment Mode, Organization Size, Application (Smart Contracts, Payments, & Asset Tracking), Vertical (BFSI, Automotive, & Media), and Region - Global Forecast to 2025", published by MarketsandMarkets™, the Blockchain AI Market size is projected to grow from USD 228 million in 2020 to USD 703 million by 2025, at a Compound Annual Growth Rate (CAGR) of 25.3% during the forecast period. The increasing venture capital funding and growing investments in Blockchain AI technology drive the market growth.
Browse in-depth TOC on "Blockchain AI Market"
110 – Tables64 – Figures220 – Pages
Download PDF Brochure: https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=99143424
By component, the service segment to register the highest growth rate during the forecast period
The services segment includes various services required to deploy, execute, and maintain the blockchain AI platform in an organization. These services include technology advisory and consulting, system integration and deployment, and support and maintenance. As the blockchain AI platforms adoption increases, the demand for these services is also expected to increase. The Infosys High Tech practice enables manufacturers, microprocessors, and system-on-chip products to achieve operational efficiencies by leveraging the synergies between AI and blockchain technologies. The services segment has witnessed tremendous growth in recent years. Therefore, the services segment registers the highest growth rate during the forecast period.
Based on vertical, the BFSI to grow at the highest CAGR during the forecast period
The BFSI segment is focusing on significant technologies, which help secure transactions for customers. In addition, the technology shift from centralized infrastructure management to the distributed ecosystem is paving the way for new business models in payments, internet banking, and financial transaction technologies by leveraging the power of both AI and blockchain solutions. Blockchain and AI solve different financial issues as a standalone solution. Still, they can work together to improve many business processes in the financial industry to make it smarter and perform more effectively. Therefore, BFSI registers the highest growth rate during the forecast period.
Get Special Pricing on Bundle Reports: https://www.marketsandmarkets.com/RequestBundleReport.asp?id=99143424
North America to hold the largest market share during the forecast period
North America has several prominent market players delivering Blockchain AI solutions to all end-users in the region. The US and Canada both have strong economic conditions and are expected to be major contributors to the Blockchain AI Market growth. The geographical presence, significant Research and Development (R & D) activities, partnerships, and acquisitions and mergers are the major factors for deploying Blockchain AI and services.
Market Players:
Key and innovative vendors in the Blockchain AI Market include Figure Technologies (US), Cyware Labs (US), Core Scientific (US), NetObjex (US), Fetch.ai (UK), Ai-Blockchain (US), AlphaNetworks (US), Bext360 (US), Blackbird.AI (US), BurstIQ (US), Chainhaus (US), CoinGenius (US), Computable (US), Finalze (US), Gainfy (US), Hannah Systems (US), LiveEdu (UK), Mobs (US), Neurochain Tech (France), Numerai (US), SingularityNET (The Netherlands), Stowk (US), Synapse AI (US), Talla (US), Verisart (US), VIA (US), Vytalyx (US), Wealthblock.AI (US), and Workdone (US).
Get 10% Customization on this Research Report: https://www.marketsandmarkets.com/requestCustomizationNew.asp?id=99143424
Browse Adjacent Markets: Information Security Market Research Reports & Consulting
Related Reports:
Blockchain Market by Component (Platform and Services), Provider (Application, Middleware, and Infrastructure), Type (Private, Public, and Hybrid), Organization Size, Application Area (BFSI, Government, IT & Telecom), and Region - Global Forecast to 2025https://www.marketsandmarkets.com/Market-Reports/blockchain-technology-market-90100890.html
About MarketsandMarkets™
MarketsandMarkets™ provides quantified B2B research on 30,000 high growth niche opportunities/threats which will impact 70% to 80% of worldwide companies' revenues. Currently servicing 7500 customers worldwide including 80% of global Fortune 1000 companies as clients. Almost 75,000 top officers across eight industries worldwide approach MarketsandMarkets™ for their painpoints around revenues decisions.
Our 850 fulltime analyst and SMEs at MarketsandMarkets™ are tracking global high growth markets following the "Growth Engagement Model – GEM". The GEM aims at proactive collaboration with the clients to identify new opportunities, identify most important customers, write "Attack, avoid and defend" strategies, identify sources of incremental revenues for both the company and its competitors. MarketsandMarkets™ now coming up with 1,500 MicroQuadrants (Positioning top players across leaders, emerging companies, innovators, strategic players) annually in high growth emerging segments. MarketsandMarkets™ is determined to benefit more than 10,000 companies this year for their revenue planning and help them take their innovations/disruptions early to the market by providing them research ahead of the curve.
MarketsandMarkets's flagship competitive intelligence and market research platform, "Knowledge Store" connects over 200,000 markets and entire value chains for deeper understanding of the unmet insights along with market sizing and forecasts of niche markets.
Contact:Mr. Aashish MehraMarketsandMarkets™ INC.630 Dundee RoadSuite 430Northbrook, IL 60062USA: +1-888-600-6441Email: [email protected]Research Insight:https://www.marketsandmarkets.com/ResearchInsight/blockchain-ai-market.asp
Visit Our Website: https://www.marketsandmarkets.com/Content Source: https://www.marketsandmarkets.com/PressReleases/blockchain-ai.asp
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Sign Up Log In Resources Blog Journalists RSS GDPR General Inquiries Request Demo Editorial Bureaus Partnerships Media Inquiries Worldwide Offices Send Release Sign Up Log In Resources Blog Journalists RSS GDPR Blockchain AI Market worth 703 million 2025 Exclusive Report MarketsandMarkets News provided MarketsandMarkets Nov 10, 2020, 11:30 ET Share article CHICAGO, Nov. 10, 2020 PRNewswire According new market research report Blockchain AI Marketby Technology ML NLP, Component PlatformTools Services, Deployment Mode, Organization Size, Application Smart Contracts, Payments, Asset Tracking, Vertical BFSI, Automotive, Media, Region Global Forecast 2025, published MarketsandMarkets, Blockchain AI Market size projected grow USD 228 million 2020 USD 703 million 2025, Compound Annual Growth Rate CAGR 25.3 forecast period. The increasing venture capital funding growing investments Blockchain AI technology drive market growth. Browse indepth TOC onBlockchain AI Market 110 Tables64 Figures220 Pages Download PDF Brochure: By component, service segment register highest growth rate forecast period The services segment includes services required deploy, execute, maintain blockchain AI platform organization. These services include technology advisory consulting, integration deployment, support maintenance. As blockchain AI platforms adoption increases, demand services expected increase. The Infosys High Tech practice enables manufacturers, microprocessors, systemonchip products achieve operational efficiencies leveraging synergies AI blockchain technologies. The services segment witnessed tremendous growth recent years. Therefore, services segment registers highest growth rate forecast period. Based vertical, BFSIto grow highest CAGR forecast period The BFSI segment focusing significant technologies, help secure transactions customers. In addition, technology shift centralized infrastructure management distributed ecosystem paving way new business models payments, internet banking, financial transaction technologies leveraging power AI blockchain solutions. Blockchain AI solve different financial issues standalone solution. Still, work improve business processes financial industry smarter perform effectively. Therefore, BFSI registers highest growth rate forecast period. Get Special Pricing Bundle Reports: North America hold largest market shareduring forecast period North America prominent market players delivering Blockchain AI solutions endusers region. The US Canada strong economic conditions expected major contributors Blockchain AI Market growth. The geographical presence, significant Research Development R D activities, partnerships, acquisitions mergers major factors deploying Blockchain AI services. Market Players: Key innovative vendors Blockchain AI Market include Figure Technologies US, Cyware Labs US, Core Scientific US, NetObjex US, Fetch.ai UK, AiBlockchain US, AlphaNetworks US, Bext360 US, Blackbird.AI US, BurstIQ US, Chainhaus US, CoinGenius US, Computable US, Finalze US, Gainfy US, Hannah Systems US, LiveEdu UK, Mobs US, Neurochain Tech France, Numerai US, SingularityNET The Netherlands, Stowk US, Synapse AI US, Talla US, Verisart US, VIA US, Vytalyx US, Wealthblock.AI US, Workdone US. Get 10 Customization Research Report: Browse Adjacent Markets: Information Security Market ResearchReports Consulting Related Reports: Blockchain Market Component Platform Services, Provider Application, Middleware, Infrastructure, Type Private, Public, Hybrid, Organization Size, Application Area BFSI, Government, IT Telecom, Region Global Forecast 2025 About MarketsandMarkets MarketsandMarkets provides quantified B2B research 30,000 high growth niche opportunitiesthreats impact 70 80 worldwide companies revenues. Currently servicing 7500 customers worldwide including 80 global Fortune 1000 companies clients. Almost 75,000 officers industries worldwide approach MarketsandMarkets painpoints revenues decisions. Our 850 fulltime analyst SMEs MarketsandMarkets tracking global high growth markets following Growth Engagement Model GEM. The GEM aims proactive collaboration clients identify new opportunities, identify important customers, write Attack, avoid defend strategies, identify sources incremental revenues company competitors. MarketsandMarkets coming 1,500 MicroQuadrants Positioning players leaders, emerging companies, innovators, strategic players annually high growth emerging segments. MarketsandMarkets determined benefit 10,000 companies year revenue planning help innovationsdisruptions early market providing research ahead curve. MarketsandMarketss flagship competitive intelligence market research platform, Knowledge Store connects 200,000 markets entire value chains deeper understanding unmet insights market sizing forecasts niche markets. :Mr. Aashish MehraMarketsandMarkets INC.630 Dundee RoadSuite 430Northbrook, IL 60062USA: 18886006441Email: [emailprotected]Research Insight: Visit Our Website: Source: SOURCE MarketsandMarkets Modal title Also source Face Shield Market worth 4.1 billion 2025 Exclusive Report... Pyrogen Testing Market worth 1,689 million 2025 Exclusive... 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] | 1 | NEGATIVE | 13 |
https://www.packagingnews24.com/data-science-as-a-service-market-2020-with-expected-growth-top-key-company-microsoft-corporation-international-business-machines-corporation-sas-institute-sap-se-rapidminer-dataiku-sas-alteryx/ | 2020-05-08T00:00:00 | en | Data Science As A Service Market 2020 With Expected Growth Top Key Company: Microsoft Corporation, International Business Machines Corporation, SAS Institute, SAP SE, RapidMiner, Dataiku SAS, Alteryx, Fair Issac Corporation – Packaging News 24 |
Data Science As A Service Market 2020 With Expected Growth Top Key Company: Microsoft Corporation, International Business Machines Corporation, SAS Institute, SAP SE, RapidMiner, Dataiku SAS, Alteryx, Fair Issac Corporation – Packaging News 24
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You are hereHomeIndustryData Science As A Service Market 2020 With Expected Growth Top Key Company: Microsoft Corporation, International Business Machines Corporation, SAS Institute, SAP SE, RapidMiner, Dataiku SAS, Alteryx, Fair Issac Corporation
Industry Industry Report Market Report
Data Science As A Service Market 2020 With Expected Growth Top Key Company: Microsoft Corporation, International Business Machines Corporation, SAS Institute, SAP SE, RapidMiner, Dataiku SAS, Alteryx, Fair Issac Corporation
May 7, 2020May 7, 2020 [email protected] Alteryx, and Teradata, Data Science As A Service Data Science As A Service Market Analysis, Data Science As A Service Market, Data Science As A Service Market Forecast, Data Science As A Service Market Growth, Data Science As A Service Market Research, Data Science As A Service Market trend), Dataiku SAS, Fair Issac Corporation, Inc., International Business Machines Corporation, MathWorks, MICROSOFT CORPORATION, RapidMiner, SAP SE, SAS Institute
The Global Data Science As A Service Market is accounted by 2027 growing at a CAGR of +35% during the forecast period
The Research Insights has added a new statistical data titled as Data Science As A Service market. This report uses effective approaches such as primary and secondary techniques for research and developments. It gives a detailed description of the market by using different analytical procedures that are inculcated to find out the desired data about the target market.
“Data Science as a Service” is a term that provides technology used for analyzing large amount of data. It is the analysis for source of information, content of the information and how that information could be transformed into a valuable asset for creating business opportunities and information technology strategies. Data science includes data discovery, which uses the data inference and exploration techniques. It also uses mathematical and algorithmic methods for solving complex business problems and discover hidden information.
Get Enquiry About This Comprehensive Report @:
https://www.theresearchinsights.com/enquiry_before_buying.php?id=7966
Companies Profiled in this report includes,
Microsoft Corporation, International Business Machines Corporation, SAS Institute, Inc., SAP SE, RapidMiner, Inc., Dataiku SAS, Alteryx, Inc, Fair Issac Corporation, MathWorks, Inc, and Teradata, Inc.
This report gives a detailed and comprehensive understanding of Data Science As A Service market. With precise data covering all key aspects of the existing market, this report offers existing data of leading manufacturers. Leading factors affecting the growth of the market in a positive and negative perspective is examined and evaluated and projected in the report in detail.
Data Science As A Service Market has been studied in terms of all parameters such as applications, types, products and many other. Each and every data leading to growth or fall of the respective segments have been explained.
Considering regions, major parts of the globe are covered with depth of research including North America, Asia Pacific, Europe, the Middle East & Africa and Latin America. The consumption, revenue, market value, production, share and growth rate of Data Science As A Service market from 2020 to 2027 is been covered.
For Special Discount on this Report, Click [email protected]:
https://www.theresearchinsights.com/ask_for_discount.php?id=7966
Table of Content:
Global Data Science As A Service Market Research Report 2020-2027
Chapter 1: Industry Overview
Chapter 2: Data Science As A Service Market International and China Market Analysis
Chapter 3: Environment Analysis of Market.
Chapter 4: Analysis of Revenue by Classifications
Chapter 5: Analysis of Revenue by Regions and Applications
Chapter 6: Analysis of Data Science As A Service Market Revenue Market Status.
Chapter 7: Analysis of Industry Key Manufacturers
Chapter 8: Sales Price and Gross Margin Analysis of Market.
Continue To TOC…..
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| Data Science As A Service Market 2020 With Expected Growth Top Key Company: Microsoft Corporation, International Business Machines Corporation, SAS Institute, SAP SE, RapidMiner, Dataiku SAS, Alteryx, Fair Issac Corporation | Data Science As A Service Market 2020 With Expected Growth Top Key Company: Microsoft Corporation, International Business Machines Corporation, SAS Institute, SAP SE, RapidMiner, Dataiku SAS, Alteryx, Fair Issac Corporation Packaging News 24 Skip content Friday, May 8, 2020 Our Team Us Packaging News 24 Packaging Market Research Reports Home Industry Report Market Report Industry Analytics Market Analytics Market Outlook Market Research Future Demands Market Study Opportunities Forecast You hereHomeIndustryData Science As A Service Market 2020 With Expected Growth Top Key Company: Microsoft Corporation, International Business Machines Corporation, SAS Institute, SAP SE, RapidMiner, Dataiku SAS, Alteryx, Fair Issac Corporation IndustryIndustry ReportMarket Report Data Science As A Service Market 2020 With Expected Growth Top Key Company: Microsoft Corporation, International Business Machines Corporation, SAS Institute, SAP SE, RapidMiner, Dataiku SAS, Alteryx, Fair Issac Corporation May 7, 2020May 7, 2020 [emailprotected] Alteryx, Teradata, Data Science As A Service Data Science As A Service Market Analysis, Data Science As A Service Market, Data Science As A Service Market Forecast, Data Science As A Service Market Growth, Data Science As A Service Market Research, Data Science As A Service Market trend, Dataiku SAS, Fair Issac Corporation, ., International Business Machines Corporation, MathWorks, MICROSOFT CORPORATION, RapidMiner, SAP SE, SAS Institute The Global Data Science As A Service Market accounted 2027 growing CAGR 35 forecast period The Research Insights added new statistical data titled Data Science As A Service market. This report uses effective approaches primary secondary techniques research developments. It gives detailed description market different analytical procedures inculcated desired data target market. Data Science Service term provides technology analyzing large data. It analysis source information, content information information transformed valuable asset creating business opportunities information technology strategies. Data science includes data discovery, uses data inference exploration techniques. It uses mathematical algorithmic methods solving complex business problems discover hidden information. Get Enquiry About This Comprehensive Report Companies Profiled report includes, Microsoft Corporation, International Business Machines Corporation, SAS Institute, ., SAP SE, RapidMiner, ., Dataiku SAS, Alteryx, , Fair Issac Corporation, MathWorks, , Teradata, . This report gives detailed comprehensive understanding Data Science As A Service market. With precise data covering key aspects existing market, report offers existing data leading manufacturers. Leading factors affecting growth market positive negative perspective examined evaluated projected report detail. Data Science As A Service Market studied terms parameters applications, types, products other. Each data leading growth fall respective segments explained. Considering regions, major parts globe covered depth research including North America, Asia Pacific, Europe, Middle East Africa Latin America. The consumption, revenue, market value, production, share growth rate Data Science As A Service market 2020 2027 covered. For Special Discount Report, Click [emailprotected]: Table Content: Global Data Science As A Service Market Research Report 20202027 Chapter 1: Industry Overview Chapter 2: Data Science As A Service Market International China Market Analysis Chapter 3: Environment Analysis Market. 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https://thestreetjournal.org/2020/08/youtube-ai-moderators-deleting-twice-as-many-videos-as-humans/ | 2020-08-27T00:00:00 | en | Breaking News | YouTube: AI moderators deleting twice as many videos as humans |
Breaking News | YouTube: AI moderators deleting twice as many videos as humans
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International News YouTube: AI moderators deleting twice as many videos as humans
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YouTube has taken down more videos in the past few months than ever before thanks to machine learning, the company reveals.
The video-sharing platform relied heavily on algorithms from April to June, due to work-from-home orders, which removed more than 11.4 million videos found with misleading or abusive content.
Prior to leaning more on computers, YouTube human moderators had only identified some five million videos from January to March that go against its policies.
YouTube employed the technology when parts of the US went into coronavirus lockdown, as allowing staff to review content outside the office could lead to sensitive data being exposed.
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Between April and June, YouTube removed more than twice as many videos for violating content policies than the three months prior. That’s because it’s had to rely more on computer algorithms, as allowing staff to review videos outside the office could risk sensitive content and user data being exposed
‘We normally rely on a combination of people and technology to enforce our policies,’ YouTube said in a blog post.
‘Machine learning helps detect potentially harmful content, and then sends it to human reviewers for assessment.’
‘Human review is not only necessary to train our machine-learning systems, it also serves as a check, providing feedback that improves the accuracy of our systems over time.’
Videos are removed for a variety of reasons, including child safety concerns, depictions of sex/nudity, spreading scams or misinformation, harassment or cyberbullying, or promoting violent extremism or hate speech.
Millions of videos flagged by YouTube’s AI are later determined by a human reviewer to not have violated any policy.
YouTube’s parent company, Google, instituted a work-from-home policy during the pandemic. But allowing human moderators to review videos outside of the office could risk sensitive content – and user data – being shared, according to The Verge.
A particular focus was made on videos that were potentially harmful to children, which were removed more than three times more often than usual. Flagged clips included ‘dares, challenges, or other innocently posted content that might endanger minors’
‘When reckoning with greatly reduced human review capacity due to COVID-19, we were forced to make a choice between potential under-enforcement or potential over-enforcement,’ YouTube said.
It chose to ‘cast a wider net’ so potentially harmful content would be removed quickly.
According to YouTube’s latest Community Guidelines Enforcement report, issued Tuesday, more than 11.4 million videos were removed in the second quarter of 2020.
In the second quarter of 2019, YouTube removed just under 9 million videos.
A particular focus was made on videos that were potentially harmful to children, which were removed more than three times more often than usual.
Flagged clips included ‘dares, challenges, or other innocently posted content that might endanger minors.’
Content creators whose videos were removed without a human review were not issued strikes against their accounts, however, except in extreme circumstances.
Generally, content creators whose videos were removed without a human review were not issued strikes. Half of appeals resulted in videos being reinstated, up from 25 percent in the first quarter of 2020
YouTube also ramped up resources to handle the expected increase in appeals, which doubled during the second quarter.
Fully half of those appeals resulted in videos being reinstated, up from 25 percent in the first quarter.
‘The impact of COVID-19 has been felt in every part of the world, and in every corner of our business,’ the company stated. ‘Through these challenging times, our commitment to responsibility remains steadfast.’
YouTube is hardly the only social media platform faced with a content-moderation crisis during the pandemic.
In April, Facebook came under fire when posts about making DIY face masks were blocked by an algorithm designed to weed out coronavirus scams and misinformation.
‘We apologize for this error and are working to update our systems to avoid mistakes like this going forward,’ the company said in a statement to The New York Times. ‘We don’t want to put obstacles in the way of people doing a good thing.’
At the same time, Facebook blamed the pandemic for hampering efforts to remove posts about suicide and self-harm.
The company revealed that between April and June it took action on fewer posts containing such content because fewer human reviewers were working due to COVID-19.
Facebook sent moderators home in March but CEO Mark Zuckerberg warned enforcement requiring human intervention could be affected.
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| Breaking News | Breaking News YouTube: AI moderators deleting twice videos humans Daily News City News News From Africa World News Menu Home Economy Education Health Crime Business Breaking News News International News Art Culture Entertainment Travel Tour Society Fashion Editorials Interviews Opinion Street reporter Sport Politics News From Around The World Video International News YouTube: AI moderators deleting twice videos humans By 1 2 hours ago ShareTweet 0 Post Views: Visits 43 YouTube taken videos past months thanks machine learning, company reveals. The videosharing platform relied heavily algorithms April June, workfromhome orders, removedmore 11.4 million videos misleading abusive content. Prior leaning computers, YouTube human moderators identified million videos January March policies. YouTube employed technology parts US went coronavirus lockdown, allowing staff review content outside office lead sensitive data exposed. Scroll video Between April June, YouTube removed twice videos violating content policies months prior. Thats rely algorithms, asallowing staff review videos outside office risk sensitive content user data exposed We normally rely combination people technology enforce policies, YouTube said blog post. Machine learning helps detect potentially harmful content, sends human reviewers assessment. Human review necessary train machinelearning systems, serves check, providing feedback improves accuracy systems time. Videos removed variety reasons, including child safety concerns, depictions sexnudity, spreading scams misinformation, harassment cyberbullying, promoting violent extremism hate speech. Millions videos flagged YouTubes AI later determined human reviewer violated policy. YouTubes parent company, Google, instituted workfromhome policy pandemic. But allowing human moderators review videos outside office risk sensitive content user data shared, according toThe Verge. A particular focus videos potentially harmful children, removed times usual.Flagged clips included dares, challenges, innocently posted content endanger minors When reckoning greatly reduced human review capacity COVID19, forced choice potential underenforcement potential overenforcement, YouTube said. It chose cast wider net potentially harmful content removed quickly. According YouTubes latest Community Guidelines Enforcement report, issued Tuesday, 11.4 million videos removed second quarter 2020. In second quarter 2019, YouTube removed 9 million videos. A particular focus videos potentially harmful children, removed times usual. Flagged clips included dares, challenges, innocently posted content endanger minors. Content creators videos removed human review issued strikes accounts, however, extreme circumstances. Generally, content creators videos removed human review issued strikes. Half appeals resulted videos reinstated, 25 percent quarter 2020 YouTube ramped resources handle expected increase appeals, doubled second quarter. Fully half appeals resulted videos reinstated, 25 percent quarter. The impact COVID19 felt world, corner business, company stated. Through challenging times, commitment responsibility remains steadfast. YouTube hardly social media platform faced contentmoderation crisis pandemic. In April, Facebook came posts making DIY face masks blocked algorithm designed weed coronavirus scams misinformation. We apologize error working update systems avoid mistakes like going forward, company said statement The New York Times. We dont want obstacles way people good thing. At time, Facebook blamed pandemic hampering efforts remove posts suicide selfharm. The company revealed April June took action fewer posts containing content fewer human reviewers working COVID19. Facebook sent moderators home March CEO Mark Zuckerberg warned enforcement requiring human intervention affected. Share this:Click share Facebook Opens new windowClick share Twitter Opens new windowClick share LinkedIn Opens new windowClick share WhatsApp Opens new windowClick share Pinterest Opens new windowMoreClick share Skype Opens new windowClick share Tumblr Opens new windowLike this:Like Loading... 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] | 1 | NEGATIVE | 15 |
https://feedroad.com/artificial-intelligence-ai-for-hospital-cancer-diagnostics-market-2020-2026-general-electric-ibm-alphabet-glaxosmithkline-gsk-merck-prognos/ | 2020-03-30T00:00:00 | en | Artificial Intelligence (AI) For Hospital Cancer Diagnostics Market 2020-2026 | General Electric, IBM, Alphabet, GlaxoSmithKline (GSK), Merck, Prognos – Feed Road |
Artificial Intelligence (AI) For Hospital Cancer Diagnostics Market 2020-2026 | General Electric, IBM, Alphabet, GlaxoSmithKline (GSK), Merck, Prognos – Feed Road
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Artificial Intelligence (AI) For Hospital Cancer Diagnostics Market 2020-2026 | General Electric, IBM, Alphabet, GlaxoSmithKline (GSK), Merck, Prognos
March 30, 2020
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The Research Insights has added a new report to its source. The report is titled “Global Artificial Intelligence (AI) For Hospital Cancer Diagnostics Market Research Report 2020” and accelerates a wide-ranging and focused look into this market. Market size is concluded through detailed study and examination through subordinate research.
Healthcare is evolving as a prominent area for AI research and applications. Systems are capable to take a multi-disciplinary integrated approach to looking at imaging and scans. The analysis of patient records, looking for effectiveness of particular treatments is more work than a human can do, the quantity of data is too high.
Request a Sample Copy of this Report @:
https://www.theresearchinsights.com/request_sample.php?id=34938
Top Key Players:
General Electric, IBM, Alphabet, GlaxoSmithKline (GSK), Merck, Prognos, Quest Diagnostics, Safeguard Scientifics, Zebra, Numerate, BenevolentAI, Exscientia, twoXAR, Berg, Atomwise
Even pharma businesses are experimenting with deep learning to design new drugs. AI in healthcare is currently geared towards improving patient outcomes, aligning the interests of various stakeholders, and reducing healthcare costs.
For growth of the market forecast, the report is commenced by approximating the size of the current market, giving a basic idea for predicting the future growth of the market. The impact analysis helps in collecting data on the future growth of the Artificial Intelligence (AI) For Hospital Cancer Diagnostics market.
Geographically, this report is equipped with detail study of all the major geographic regions around the globe. The regions which are considered for the study are, North America, Asia Pacific, Europe, the Middle East & Africa and Latin America.
Ask for Upto 30% discount on this report @:
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Table of Content:
Global Artificial Intelligence (AI) For Hospital Cancer Diagnostics Market Research Report 2020-2026
Chapter 1: Industry Overview
Chapter 2: Artificial Intelligence (AI) For Hospital Cancer Diagnostics Market International and China Market Analysis
Chapter 3: Environment Analysis of Market.
Chapter 4: Analysis of Revenue by Classifications
Chapter 5: Analysis of Revenue by Regions and Applications
Chapter 6: Analysis of Artificial Intelligence (AI) For Hospital Cancer Diagnostics Market Revenue Market Status.
Chapter 7: Analysis of Industry Key Manufacturers
Chapter 8: Sales Price and Gross Margin Analysis of Market.
Continue To TOC…..
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CategoryAnalysis Forecast Business Future Demands Headlines Industry Analytics Industry Report International News Market ReportsTagsArtificial Intelligence (AI) For Hospital Cancer Diagnostics Market Artificial Intelligence (AI) For Hospital Cancer Diagnostics Market 2019 Artificial Intelligence (AI) For Hospital Cancer Diagnostics Market 2025 Artificial Intelligence (AI) For Hospital Cancer Diagnostics Market Analysis Artificial Intelligence (AI) For Hospital Cancer Diagnostics Market Report Artificial Intelligence (AI) For Hospital Cancer Diagnostics Market Research
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| Artificial Intelligence (AI) For Hospital Cancer Diagnostics Market 2020-2026 | Artificial Intelligence AI For Hospital Cancer Diagnostics Market 20202026 General Electric, IBM, Alphabet, GlaxoSmithKline GSK, Merck, Prognos Feed Road Toggle navigation Home About Our Authors Privacy Editorial Policy Feed Road Market Research Reports Market Reports Industry Analytics Industry Report Market Outlook Market Research Analysis Forecast Consumption Status Future Demands Opportunities Forecast for: Artificial Intelligence AI For Hospital Cancer Diagnostics Market 20202026 General Electric, IBM, Alphabet, GlaxoSmithKline GSK, Merck, Prognos March 30, 2020 Off By [emailprotected] The Research Insights added new report source. The report titled Global Artificial Intelligence AI For Hospital Cancer Diagnostics Market Research Report 2020 accelerates wideranging focused look market. Market size concluded detailed study examination subordinate research. Healthcare evolving prominent area AI research applications. Systems capable multidisciplinary integrated approach looking imaging scans. The analysis patient records, looking effectiveness particular treatments work human do, quantity data high. Request Sample Copy Report Top Key Players: General Electric, IBM, Alphabet, GlaxoSmithKline GSK, Merck, Prognos, Quest Diagnostics, Safeguard Scientifics, Zebra, Numerate, BenevolentAI, Exscientia, twoXAR, Berg, Atomwise Even pharma businesses experimenting deep learning design new drugs. AI healthcare currently geared improving patient outcomes, aligning interests stakeholders, reducing healthcare costs. For growth market forecast, report commenced approximating size current market, giving basic idea predicting future growth market. The impact analysis helps collecting data future growth Artificial Intelligence AI For Hospital Cancer Diagnostics market. Geographically, report equipped study major geographic regions globe. The regions considered study are, North America, Asia Pacific, Europe, Middle East Africa Latin America. Ask Upto 30 discount report Table Content: Global Artificial Intelligence AI For Hospital Cancer Diagnostics Market Research Report 20202026 Chapter 1: Industry Overview Chapter 2: Artificial Intelligence AI For Hospital Cancer Diagnostics Market International China Market Analysis Chapter 3: Environment Analysis Market. Chapter 4: Analysis Revenue Classifications Chapter 5: Analysis Revenue Regions Applications Chapter 6: Analysis Artificial Intelligence AI For Hospital Cancer Diagnostics Market Revenue Market Status. Chapter 7: Analysis Industry Key Manufacturers Chapter 8: Sales Price Gross Margin Analysis Market. Continue To TOC.. To Get More Information, Enquiry If special requirements, let know provide report want About The Research Insights A global leader analytics, research advisory assist renovate business modify approach. With us, learn decisions intrepidly. We sense drawbacks, opportunities, circumstances, estimations information experienced skills verified methodologies. Our research reports exceptional experience innovative solutions outcomes. We effectively steered businesses world market research reports outstandingly positioned lead digital transformations. Thus, craft greater value clients presenting advanced opportunities global market. Robin Sales manager number: 919960670000 [emailprotected] CategoryAnalysis Forecast Business Future Demands Headlines Industry Analytics Industry Report International News Market ReportsTagsArtificial Intelligence AI For Hospital Cancer Diagnostics Market Artificial Intelligence AI For Hospital Cancer Diagnostics Market 2019 Artificial Intelligence AI For Hospital Cancer Diagnostics Market 2025 Artificial Intelligence AI For Hospital Cancer Diagnostics Market Analysis Artificial Intelligence AI For Hospital Cancer Diagnostics Market Report Artificial Intelligence AI For Hospital Cancer Diagnostics Market Research 20Consulting Services Market 2027 Aecom,Amec Foster Wheeler,CH2M,Environmental Resource Management,Arcadis,Tetra Tech,Others Manual Cutting Equipment Poised Garner Maximum Revenues During 20192027 Recent Posts Medical Guide Wire Market Ecosystem Analysis Share, Growth, Trends Terumo Medical, Abbott Vascular, Asahi, Boston Scientific Corporation, More Manual Cutting Equipment Poised Garner Maximum Revenues During 20192027 Artificial Intelligence AI For Hospital Cancer Diagnostics Market 20202026 General Electric, IBM, Alphabet, GlaxoSmithKline GSK, Merck, Prognos 20Consulting Services Market 2027 Aecom,Amec Foster Wheeler,CH2M,Environmental Resource Management,Arcadis,Tetra Tech,Others Pain Management Drugs Market Ecosystem Segmentation, Opportunities Companies Pfizer, GSK, Grunenthal, Bayer, More Medical Plastics Market 2027 Adobe,Avaya,Citrix Systems,New Row,Vidyo,WebEx,Zoho,ATT Connect Support,Bridgit,Blue Jeans Network,BT Conferencing,ClickMeeting,Communique Conferencing,EyeNetwork Polyolefin Elastomers POE Market Ecosystem Growth Analysis Challenges Dow, Mitsui Chemical, ExxonMobil Chemical, LG Chemical, More Home Energy Management Systems Market 2027 Cisco,Honeywell,Panasonic,Schneider Electric,Allure Energy,C3 IoT,Capgemini,GE Appliances Lighting,Hitachi,Intel,Johnson Controls,Liricco Technology,Siemens,SmartThings,Toshiba Hydrofluoric Acid Market Demands Growth Prediction 2018 2028 Positron Emission Tomography PET Scanners Market Ecosystem Analysis, Growth Opportunities GE, Siemens Healthcare, Philips Healthcare, Toshiba, More Proudly powered WordPress Theme: Envo Magazine | 2,020 | [
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https://yourstory.com/2020/06/funding-ai-vision-inspection-startup-lincode-labs | 2020-06-09T00:00:00 | en | [Funding alert] AI vision inspection startup Lincode Labs raises seed round | [Funding alert] AI vision inspection startup Lincode Labs raises seed roundஅअಅYourStoryEducationHerStorySocialStorySMBStoryYourStoryTVMoreCompaniesAdvertise With UsMakers-IndiaAutoStoryMyStoryWeekenderJournalYS KoreaDeutschlandGermanyEventsVisualEnglishKannadaHindiTamilAsamiyaBanglaGujaratiMalayalamMarathiOdiaPunjabiTeluguUrduஅअಅLoginEnglishKannadaHindiTamilAsamiyaBanglaGujaratiMalayalamMarathiOdiaPunjabiTeluguUrduஅअಅLoginFunding[Funding alert] AI vision inspection startup Lincode Labs raises seed roundUS and Bengaluru-based startup Lincode Labs will use this funding for product development, sales and marketing, business expansion, and patent-filing.By Sujata Sangwan9th Jun 2020+0 Share on+0 Share onShare onUS and Bengaluru-based Lincode Labs Inc, an AI-backed visual inspection startup, on Tuesday announced that it has raised seed funding from Come Back Capital and RSCM LLC. The startup also received additional funds through angel investment led by The Enfich Group. Lincode Labs said it plans to utilise the institutional funds for product development, research and development, sales and marketing activities. The angel investment will be deployed for patent-filing and business expansion.Co-founder and CEO Rajesh Iyengar said,“We've made great progress over the past one year as evidenced by the platform's consistent growth. This round of financing will be instrumental as we continue to invest in our products and customer acquisitions in order to further fuel our growth.’’ Lincode TeamAlso Read[Funding alert] Revenue growth AI startup Samya.ai raises $6M in seed funding led by Sequoia IndiaFounded in 2017 by Rajesh Iyengar, CEO, and Ritika Nigam, CTO, Lincode is an artificial intelligence (AI), machine learning (ML), and deep learning company enabling manufacturers to inspect the quality of the products they produce and improve the overall efficiency using computer vision.Lincode’s patent-pending technology integrates ML and factory automation to enable manufacturers to identify, predict, and eliminate product defects. The solution is a combination of complex algorithms, deep learning models, and synthetic data sets. It claims to identify defects faster and with greater accuracy than traditional vision systems.Scott Shane, Founder and CEO, Come Back Capital added,“Lincode’s ability to leverage best-in-class technology processes and deep tech industry expertise has enabled it to create a niche in the AI space. We are thrilled to invest in this partnership; Lincode has a dynamic management team and will prove to be a high-growth company.”Lincode Labs has also designed SMAARC (Smart Manufacturing, AI, AR, and Robotics Consortium), an ecosystem of industrial partners, to scale-up the future of manufacturing technology and innovation.The startup is also continuously augmenting its R&D efforts to address the challenges faced by manufacturers. It is looking to further expand its patent portfolio as it develops new products and technologies.Pratap Krishna, serial entrepreneur and angel investor, The Enfich Group shared,“The startup is doing an incredible job in empowering smart manufacturing with powerful AI and IoT solutions. They are constantly challenging the status quo to deliver solutions previously considered unattainable. We are certain that Lincode’s AI vision inspection will soon find its niche in the manufacturing industry.”Lincode Labs has a presence in India, US, and Europe with a client base of about 40 clients globally across automotive, electronics, pharmaceutical, polymer, and metal industries.(Edited by Saheli Sen Gupta)Want to make your startup journey smooth? YS Education brings a comprehensive Funding and Startup Course. Learn from India's top investors and entrepreneurs. Click here to know more.Bengaluru startupsJust InLincode LabsThe Enfich GroupCome Back Capital+0 Share on+0 Share onShare onTrending NowTrending StoriesArkam Ventures announces the first close of its Rs 700 Cr early-stage tech fund, to focus on startups building for Middle India
Dipti NairMy father spent nearly a year's salary on my plane ticket to the US, says Google CEO Sundar PichaiPress Trust of IndiaWith Rs 14 lakh business per day, this astrology startup is making profits in the time of coronavirusThimmaya PoojaryAnil Valluri joins Google Cloud India as senior directorPress Trust of IndiaDaily CapsuleBYJU’S founders on the rise of edtech amid COVID-19Read HereLatestUpdates from around the worldMoney Matters: 5paisa.com CEO Prakarsh Gagdani talks about the impact of the pandemic and the future of trading
Team YSGovt to consider extending deadline for availing 15 pc corporate tax rate benefit: FMPress Trust of IndiaSwiggy to transition Scootsy's operations to its platformsPress Trust of IndiaICICI Securities assists 25 startups on pre-incubation tripPress Trust of IndiaThe smartphones sales will decline to 127 million in 2020 due to COVID-19: ReportRashi VarshneyMy father spent nearly a year's salary on my plane ticket to the US, says Google CEO Sundar PichaiPress Trust of IndiaOur Partner EventsHustle across IndiaSee all Partner EventsDidn't find what you were looking for?Search for what you want, categories, tags, keywords, authors, events, anything under YourStorySEARCHTopicsStartupsApp FridayTechie TuesdaysIn DepthFunding InvestmentsResourcesExpert OpinionAboutAdvertise with usAboutMeet the teamReport an issueSupport CenterContact UsWork with usEvents© 2020 YourStory Media Pvt. Ltd.Privacy Policyv2.2.404Built with ♥ in India | [Funding alert] AI vision inspection startup Lincode Labs raises seed round | [Funding alert] AI vision inspection startup Lincode Labs raises seed roundYourStoryEducationHerStorySocialStorySMBStoryYourStoryTVMoreCompaniesAdvertise With UsMakersIndiaAutoStoryMyStoryWeekenderJournalYS KoreaDeutschlandGermanyEventsVisualEnglishKannadaHindiTamilAsamiyaBanglaGujaratiMalayalamMarathiOdiaPunjabiTeluguUrduEnglishKannadaHindiTamilAsamiyaBanglaGujaratiMalayalamMarathiOdiaPunjabiTeluguUrduFunding[Funding alert] AI vision inspection startup Lincode Labs raises seed roundUS Bengalurubased startup Lincode Labs use funding product development, sales marketing, business expansion, patentfiling.By Sujata Sangwan9th Jun 20200 Share on0 Share onShare onUS Bengalurubased Lincode Labs , AIbacked visual inspection startup, Tuesday announced raised seed funding Come Back Capital RSCM LLC. The startup received additional funds angel investment led The Enfich Group.Lincode Labs said plans utilise institutional funds product development, research development, sales marketing activities. The angel investment bedeployed patentfiling business expansion.Cofounder CEO Rajesh Iyengar said,Weve great progress past year evidenced platforms consistent growth. This round financing instrumental continue invest products customer acquisitions order fuel growth. Lincode TeamAlso Read[Funding alert] Revenue growth AI startup Samya.ai raises 6M seed funding led Sequoia IndiaFounded 2017 Rajesh Iyengar, CEO, Ritika Nigam, CTO, Lincode artificial intelligence AI, machine learning ML, deep learning company enabling manufacturers inspect quality products produce improve overall efficiency vision.Lincodes patentpending technology integrates ML factory automation enable manufacturers identify, predict, eliminate product defects. The solution combination complex algorithms, deep learning models, synthetic data sets. It claims identify defects faster greater accuracy traditional vision systems.Scott Shane, Founder CEO, Come Back Capital added,Lincodes ability leverage bestinclass technology processes deep tech industry expertise enabled create niche AI space. We thrilled invest partnership; Lincode dynamic management team prove highgrowth company.Lincode Labs designed SMAARC Smart Manufacturing, AI, AR, Robotics Consortium, ecosystem industrial partners, scaleup future manufacturing technology innovation.The startup continuously augmenting RD efforts address challenges faced manufacturers. It looking expand patent portfolio develops new products technologies.Pratap Krishna, serial entrepreneur angel investor, The Enfich Group shared,The startup incredible job empowering smart manufacturing powerful AI IoT solutions. They constantly challenging status quo deliver solutions previously considered unattainable. We certain Lincodes AI vision inspection soon niche manufacturing industry.Lincode Labs presence India, US, Europe client base 40 clients globally automotive, electronics, pharmaceutical, polymer, metal industries.Edited Saheli Sen GuptaWant startup journey smooth? YS Education brings comprehensive Funding Startup Course. Learn Indias investors entrepreneurs. Click know more.Bengaluru startupsJust InLincode LabsThe Enfich GroupCome Back Capital0 Share on0 Share onShare onTrending NowTrending StoriesArkam Ventures announces close Rs 700 Cr earlystage tech fund, focus startups building Middle India Dipti NairMy father spent nearly years salary plane ticket US, says Google CEO Sundar PichaiPress Trust IndiaWith Rs 14 lakh business day, astrology startup making profits time coronavirusThimmaya PoojaryAnil Valluri joins Google Cloud India senior directorPress Trust IndiaDaily CapsuleBYJUS founders rise edtech amid COVID19Read HereLatestUpdates worldMoney Matters: CEO Prakarsh Gagdani talks impact pandemic future trading Team YSGovt consider extending deadline availing 15 pc corporate tax rate benefit: FMPress Trust IndiaSwiggy transition Scootsys operations platformsPress Trust IndiaICICI Securities assists 25 startups preincubation tripPress Trust IndiaThe smartphones sales decline 127 million 2020 COVID19: ReportRashi VarshneyMy father spent nearly years salary plane ticket US, says Google CEO Sundar PichaiPress Trust IndiaOur Partner EventsHustle IndiaSee Partner EventsDidnt looking for? want, categories, tags, keywords, authors, events, YourStorySEARCHTopicsStartupsApp FridayTechie TuesdaysIn DepthFunding InvestmentsResourcesExpert OpinionAboutAdvertise usAboutMeet teamReport issueSupport Center UsWork usEvents 2020 YourStory Media Pvt. 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https://bulletinline.com/2020/09/04/latest-update-2020-artificial-intelligence-in-fashion-retail-market-by-covid19-impact-analysis-and-top-manufacturers-alibaba-stitch-fix-snap-truefit-finery-etc-inforgrowth/ | 2020-09-04T00:00:00 | en | Latest Update 2020: Artificial Intelligence In Fashion Retail Market by COVID19 Impact Analysis And Top Manufacturers: ALIBABA, STITCH FIX, Snap, TRUEFIT, FINERY, etc. | InForGrowth – Bulletin Line |
Latest Update 2020: Artificial Intelligence In Fashion Retail Market by COVID19 Impact Analysis And Top Manufacturers: ALIBABA, STITCH FIX, Snap, TRUEFIT, FINERY, etc. | InForGrowth – Bulletin Line
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Home2020September4Latest Update 2020: Artificial Intelligence In Fashion Retail Market by COVID19 Impact Analysis And Top Manufacturers: ALIBABA, STITCH FIX, Snap, TRUEFIT, FINERY, etc. | InForGrowth
Latest Update 2020: Artificial Intelligence In Fashion Retail Market by COVID19 Impact Analysis And Top Manufacturers: ALIBABA, STITCH FIX, Snap, TRUEFIT, FINERY, etc. | InForGrowth
Posted On: September 4, 2020
Posted By: basavraj
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The Artificial Intelligence In Fashion Retail Market Research Report helps out market players to improve their business plans and ensure long-term success. The extensive research study provides in-depth information on Global Innovations, New Business Techniques, SWOT Analysis with Key Players, Capital Investment, Technology Innovation, and Future Trends Outlook.
The market research study covers historical data of previous years along with a forecast of upcoming years based on revenue (USD million). The Artificial Intelligence In Fashion Retail Market reports also cover market dynamics, market overview, segmentation, market drivers, and restraints together with the impact they have on the Artificial Intelligence In Fashion Retail demand over the forecast period. Moreover, the report also delivers the study of opportunities available in the Artificial Intelligence In Fashion Retail market globally. The Artificial Intelligence In Fashion Retail market report study and forecasts is based on a worldwide and regional level.
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The report assesses the key opportunities in the market and outlines the factors that are and will be driving the growth of the Artificial Intelligence In Fashion Retail industry. Growth of the overall Artificial Intelligence In Fashion Retail market has also been forecasted for the period 2019-2025, taking into consideration the previous growth patterns, the growth drivers and the current and future trends.
Market Segments and Sub-segments Covered in the Report are as per below:
Based on Product Type Artificial Intelligence In Fashion Retail market is segmented into:
Predictive Sales
Show Ads
Market Forecast
In-Store Visual Monitoring
Marketing Positioning
Other
Based on Application Artificial Intelligence In Fashion Retail market is segmented into:
Online
Offline
.
The major players profiled in this report include:
ALIBABA
STITCH FIX
Snap
TRUEFIT
FINERY
STYLUMIA
Nike
Walmart
Goody Box
Adidas
Burberry
Levi’s
HOOK
LVMH
GRABIT
Get Exclusive Sample Report on Artificial Intelligence In Fashion Retail Market is available at https://inforgrowth.com/sample-request/6602645/artificial-intelligence-in-fashion-retail-market
Regional Coverage of the Artificial Intelligence In Fashion Retail Market:
Europe
Asia and Middle East
North America
Latin America
Industrial Analysis of Artificial Intelligence In Fashion Retail Market:
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Key Questions Answered in this Report:
What is the market size of the Artificial Intelligence In Fashion Retail industry?This report covers the historical market size of the industry (2013-2019), and forecasts for 2020 and the next 5 years. Market size includes the total revenues of companies.
What is the outlook for the Artificial Intelligence In Fashion Retail industry?This report has over a dozen market forecasts (2020 and the next 5 years) on the industry, including total sales, a number of companies, attractive investment opportunities, operating expenses, and others.
What industry analysis/data exists for the Artificial Intelligence In Fashion Retail industry?This report covers key segments and sub-segments, key drivers, restraints, opportunities, and challenges in the market and how they are expected to impact the Artificial Intelligence In Fashion Retail industry. Take a look at the table of contents below to see the scope of analysis and data on the industry.
How many companies are in the Artificial Intelligence In Fashion Retail industry?This report analyzes the historical and forecasted number of companies, locations in the industry, and breaks them down by company size over time. The report also provides company rank against its competitors with respect to revenue, profit comparison, operational efficiency, cost competitiveness, and market capitalization.
What are the financial metrics for the industry?This report covers many financial metrics for the industry including profitability, Market value- chain, and key trends impacting every node with reference to the company’s growth, revenue, return on sales, etc.
What are the most important benchmarks for the Artificial Intelligence In Fashion Retail industry?Some of the most important benchmarks for the industry include sales growth, productivity (revenue), operating expense breakdown, span of control, organizational make-up. All of which you’ll find in this market report.
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| Latest Update 2020: Artificial Intelligence In Fashion Retail Market by COVID19 Impact Analysis And Top Manufacturers: ALIBABA, STITCH FIX, Snap, TRUEFIT, FINERY, etc. | Latest Update 2020: Artificial Intelligence In Fashion Retail Market COVID19 Impact Analysis And Top Manufacturers: ALIBABA, STITCH FIX, Snap, TRUEFIT, FINERY, etc. InForGrowth Bulletin Line Bulletin Line Market Research Reports Home COVID19 Industry Impact Latest Market Reports Market Price Analysis Market Study Us Home2020September4Latest Update 2020: Artificial Intelligence In Fashion Retail Market COVID19 Impact Analysis And Top Manufacturers: ALIBABA, STITCH FIX, Snap, TRUEFIT, FINERY, etc. InForGrowth Latest Update 2020: Artificial Intelligence In Fashion Retail Market COVID19 Impact Analysis And Top Manufacturers: ALIBABA, STITCH FIX, Snap, TRUEFIT, FINERY, etc. InForGrowth Posted On: September 4, 2020 Posted By: basavraj Comments: 0 The Artificial Intelligence In Fashion RetailMarket Research Report helps market players improve business plans ensure longterm success. The extensive research study provides indepth information Global Innovations, New Business Techniques, SWOT Analysis Key Players, Capital Investment, Technology Innovation, Future Trends Outlook. The market research study covers historical data previous years forecast upcoming years based revenue USD million. The Artificial Intelligence In Fashion Retail Market reports cover market dynamics, market overview, segmentation, market drivers, restraints impact Artificial Intelligence In Fashion Retaildemand forecast period. Moreover, report delivers study opportunities available Artificial Intelligence In Fashion Retailmarket globally. The Artificial Intelligence In Fashion Retailmarket report study forecasts based worldwide regional level. If investorshareholder Artificial Intelligence In Fashion RetailMarket, provided study help understand growth model Artificial Intelligence In Fashion RetailIndustry impact COVID19. Request sample report including ToC, Tables Figures detailed information @ The report assesses key opportunities market outlines factors driving growth Artificial Intelligence In Fashion Retailindustry. Growth overall Artificial Intelligence In Fashion Retailmarket forecasted period 20192025, taking consideration previous growth patterns, growth drivers current future trends. Market Segments Subsegments Covered Report below: Based Product Type Artificial Intelligence In Fashion Retailmarket segmented into: Predictive Sales Show Ads Market Forecast InStore Visual Monitoring Marketing Positioning Other Based Application Artificial Intelligence In Fashion Retailmarket segmented into: Online Offline . The major players profiled report include: ALIBABA STITCH FIX Snap TRUEFIT FINERY STYLUMIA Nike Walmart Goody Box Adidas Burberry Levis HOOK LVMH GRABIT Get Exclusive Sample Report Artificial Intelligence In Fashion Retail Market available Regional Coverage Artificial Intelligence In Fashion RetailMarket: Europe Asia Middle East North America Latin America Industrial Analysis Artificial Intelligence In Fashion Retail Market: Purchase Full Report Business Expansion @ Key Questions Answered Report: What market size Artificial Intelligence In Fashion Retailindustry?This report covers historical market size industry 20132019, forecasts 2020 5 years. Market size includes total revenues companies. What outlook Artificial Intelligence In Fashion Retailindustry?This report dozen market forecasts 2020 5 years industry, including total sales, number companies, attractive investment opportunities, operating expenses, others. What industry analysisdata exists Artificial Intelligence In Fashion Retailindustry?This report covers key segments subsegments, key drivers, restraints, opportunities, challenges market expected impact Artificial Intelligence In Fashion Retailindustry. Take look table contents scope analysis data industry. How companies Artificial Intelligence In Fashion Retailindustry?This report analyzes historical forecasted number companies, locations industry, breaks company size time. The report provides company rank competitors respect revenue, profit comparison, operational efficiency, cost competitiveness, market capitalization. What financial metrics industry?This report covers financial metrics industry including profitability, Market value chain, key trends impacting node reference companys growth, revenue, return sales, etc. What important benchmarks Artificial Intelligence In Fashion Retailindustry?Some important benchmarks industry include sales growth, productivity revenue, operating expense breakdown, span control, organizational makeup. All youll market report. Get Chance 20 Extra Discount, If Company Listed Above Key Players List FOR ALL YOUR RESEARCH NEEDS, REACH OUT TO US AT: Address: 6400 Village Pkwy suite 104, Dublin, CA 94568, USA Name: Rohan S. Email:[emailprotected] Phone: 19093292808 UK: 44 203 743 1898 Artificial Intelligence In Fashion RetailArtificial Intelligence In Fashion Retail industryArtificial Intelligence In Fashion Retail market Post navigation Prev PostNext Post News About usHome Us Know Our Staff Policies Editorial Policy Use Bulletin Line Everestthemes | 2,020 | [
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https://techcrunch.com/2020/08/18/how-to-diagnose-and-treat-machine-learning-models-afflicted-by-covid-19/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+techcrunch%2Fstartups+%28TechCrunch+%C2%BB+Startups%29 | 2020-08-19T00:00:00 | en | How to diagnose and treat machine learning models afflicted by COVID-19 – TechCrunch |
How to diagnose and treat machine learning models afflicted by COVID-19 – TechCrunch
How to diagnose and treat machine learning models afflicted by COVID-19
Anupam Datta
Justin Lawyer
17 hours
Anupam Datta
Contributor
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Anupam Datta is co-founder, president and chief scientist of Truera, and also a professor at Carnegie Mellon University.
Justin Lawyer
Contributor
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Justin Lawyer is chief product officer of Truera and was formerly head of product on Google’s Cloud AI Platform.
COVID-19 has disrupted the lives of millions of people and affected businesses across the world. Its impact has been particularly significant on many machine learning (ML) models that companies use to predict human behavior.
Companies need to take steps to deeply examine ML models and acquire the insights needed to effectively update models and surrounding business rules.
The economic disruption of COVID-19 has been unprecedented in its swiftness, upsetting supply lines, temporarily closing retail stores and changing online customer behaviors. It has also dramatically increased unemployment overnight, increasing financial stress and systemic risks of both individuals and businesses. It is forecasted that global GDP could be affected by up to 0.9%, on a par with the 2008 financial crisis. While the nature of our recovery is unknown, if the 2008 crisis is any indicator, the impact of COVID-19 could be felt for years, through both short-term adjustments and long-term shifts in consumer and business behaviors and attitudes.
This disruption impacts machine learning models because the concepts and relationships the models learned when they were trained may no longer hold. This phenomenon is called “concept drift.” ML models may become unstable and underperform in the face of concept drift. That is precisely what is happening now with COVID-19. The effects of these drifts will be felt for quite some time, and models will need to be adjusted to keep up. The good news is that there have been significant developments in model intelligence technology, and through judicious use, models can nimbly adjust to those drifts.
As the effects of COVID-19 (and economic closure and reopening) play out, there will be distinct stages in the impact on social and economic behaviors. Updates to business rules and models will need to be done in sync with overall behavior shifts in each of these stages. Companies need to adopt an approach of measure-understand-act and to constantly examine, assess and adjust ML models in production or development and surrounding business rules.
Examining how ML models have been impacted means going through an exercise to both measure and understand how the models behaved prior to the coronavirus, how they are behaving now, why they are behaving differently (i.e., what inputs and relationships are the drivers of change), and then to determine if the new behavior is expected and accurate, or is no longer valid. Once this is determined, the next step is naturally to act: “So, what can we do about it?”
| How to diagnose and treat machine learning models afflicted by COVID-19 | How diagnose treat machine learning models afflicted COVID19 TechCrunch How diagnose treat machine learning models afflicted COVID19 Anupam Datta Justin Lawyer 17 hours Anupam Datta Contributor Share Twitter Anupam Datta cofounder, president chief scientist Truera, professor Carnegie Mellon University. Justin Lawyer Contributor Share Twitter Justin Lawyer chief product officer Truera head product Googles Cloud AI Platform. COVID19 disrupted lives millions people affected businesses world. Its impact particularly significant machine learning ML models companies use predict human behavior. Companies need steps deeply examine ML models acquire insights needed effectively update models surrounding business rules. The economic disruption COVID19 unprecedented swiftness, upsetting supply lines, temporarily closing retail stores changing online customer behaviors. It dramatically increased unemployment overnight, increasing financial stress systemic risks individuals businesses. It forecasted global GDP affected 0.9, par 2008 financial crisis. While nature recovery unknown, 2008 crisis indicator, impact COVID19 felt years, shortterm adjustments longterm shifts consumer business behaviors attitudes. This disruption impacts machine learning models concepts relationships models learned trained longer hold. This phenomenon called concept drift. ML models unstable underperform face concept drift. That precisely happening COVID19. The effects drifts felt time, models need adjusted up. The good news significant developments model intelligence technology, judicious use, models nimbly adjust drifts. As effects COVID19 economic closure reopening play out, distinct stages impact social economic behaviors. Updates business rules models need sync overall behavior shifts stages. Companies need adopt approach measureunderstandact constantly examine, assess adjust ML models production development surrounding business rules. Examining ML models impacted means going exercise measure understand models behaved prior coronavirus, behaving now, behaving differently i.e., inputs relationships drivers change, determine new behavior expected accurate, longer valid. Once determined, step naturally act: So, it? | 2,020 | [
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https://www.moroccoworldnews.com/2020/04/300952/moroccan-expert-joins-unesco-panel-on-artificial-intelligence-ethics/ | 2020-04-29T00:00:00 | en | Moroccan Expert Joins UNESCO Panel on Artificial Intelligence Ethics | Moroccan Expert Joins UNESCO Panel on Artificial Intelligence Ethics
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Home News Morocco Moroccan Expert Joins UNESCO Panel on Artificial Intelligence EthicsMoroccan Expert Joins UNESCO Panel on Artificial Intelligence EthicsUNESCO Director-General Audrey Azoulay selected Fatima Roumate, along with 23 other experts, to discuss the social, economic, and cultural challenges of artificial intelligence.
By Hamza Guessous -
Apr 28, 2020Rabat – A group of 24 specialists with multidisciplinary expertise on the ethics of artificial intelligence (AI) has started drafting recommendations on AI development and implementation that respect human well-being. The expected formal UNESCO recommendation will be the first global standard-setting instrument for AI ethics.Among the Ad Hoc Expert Group (AHEG) is Moroccan academic Fatima Roumate, who holds a doctorate in international and European economic law. Roumate is a professor of public law at University Mohammed V in Rabat and serves as president of the International Institute of Scientific Research, based in Marrakech.The group will create a draft that considers the environment and the needs of the Global South, among other factors, according to UNESCO. “The COVID-19 pandemic has led us to increase our use of various digital technologies. This has highlighted existing ethical challenges associated with the development of artificial intelligence. It was therefore important that the group of experts began its work on a draft normative instrument,” stressed Audrey Azoulay, UNESCO’s director-general.Read also: UNESCO Invites Maghreb Youth to Brainstorm Solutions for COVID-19 CrisisFrom 20 to 24 April 2020, the experts took part in online discussions for the first phase of the instrument’s preparations, said UNESCO.The panel “discussed an initial set of values, basic principles, and recommended policy actions anchored in universal ethical values and human rights for the design, development, and deployment of AI,” according to the UN body’s official website.Experts also focused on low-income countries, the well-being of present and future generations, environmental impact, and the 2030 Agenda for Sustainable Development. The expert group raised other questions related to gender and other biases, domestic and global inequalities, and leaving no one behind (LNOB), a key principle of Agenda 2030.The AHEG expects is due to complete the first version of the draft text by the end of April to submit for multi-stakeholder consultations between May and July.UNESCO explained that the purpose of the consultations “is to ensure that all stakeholders, including scientists, civil society and the public, take part in developing the first global standard-setting instrument on the ethical dimensions of AI.” Facebook
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By Hamza Guessous Apr 28, 2020Rabat A group 24 specialists multidisciplinary expertise ethics artificial intelligence AI started drafting recommendations AI development implementation respect human wellbeing. The expected formal UNESCO recommendation global standardsetting instrument AI ethics.Among Ad Hoc Expert Group AHEG Moroccan academic Fatima Roumate, holds doctorate international European economic law. Roumate professor public law University Mohammed V Rabat serves president International Institute Scientific Research, based Marrakech.The group create draft considers environment needs Global South, factors, according UNESCO. The COVID19 pandemic led increase use digital technologies. This highlighted existing ethical challenges associated development artificial intelligence. It important group experts began work draft normative instrument, stressed Audrey Azoulay, UNESCOs directorgeneral.Read also:UNESCO Invites Maghreb Youth Brainstorm Solutions COVID19 CrisisFrom 20 24 April 2020, experts took online discussions phase instruments preparations, said UNESCO.The panel discussed initial set values, basic principles, recommended policy actions anchored universal ethical values human rights design, development, deployment AI, according UN bodys official website.Experts focused lowincome countries, wellbeing present future generations, environmental impact, 2030 Agenda Sustainable Development. The expert group raised questions related gender biases, domestic global inequalities, leaving LNOB, key principle Agenda 2030.The AHEG expects complete version draft text end April submit multistakeholder consultations May July.UNESCO explained purpose consultations ensure stakeholders, including scientists, civil society public, developing global standardsetting instrument ethical dimensions AI. 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https://thinkcuriouser.com/finance/738136/artificial-intelligence-in-security-market-2020-business-overview-comprehensive-study-by-segmentation-key-players-samsung-amazon-xilinx-sift-science-darktrace-sparkcognition-nvidia-securoni/ | 2020-11-17T00:00:00 | en | Artificial Intelligence in Security Market 2020 Business Overview, Comprehensive Study By Segmentation, Key Players – Samsung, Amazon, Xilinx, Sift Science, Darktrace, SparkCognition, NVIDIA, Securonix, ThreatMetrix, Intel, Cylance, Micron, Acalvio, IBM, Skycure – The Think Curiouser |
Artificial Intelligence in Security Market 2020 Business Overview, Comprehensive Study By Segmentation, Key Players – Samsung, Amazon, Xilinx, Sift Science, Darktrace, SparkCognition, NVIDIA, Securonix, ThreatMetrix, Intel, Cylance, Micron, Acalvio, IBM, Skycure – The Think Curiouser
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Artificial Intelligence in Security Market 2020 Business Overview, Comprehensive Study By Segmentation, Key Players – Samsung, Amazon, Xilinx, Sift Science, Darktrace, SparkCognition, NVIDIA, Securonix, ThreatMetrix, Intel, Cylance, Micron, Acalvio, IBM, Skycure
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“
Global Artificial Intelligence in Security Market: Worldwide Industry Estimates, Offers, Development, Patterns, and forecast 2020-2027 exploration report gives the most up to date industry information and future industry trends, enabling you to recognize the types and end clients driving development and productivity. Artificial Intelligence in Security Market report is a systematic analysis of the market globally presenting the propelled situation in the market and besides conspires that guide in its extension in the coming years. The Artificial Intelligence in Security market report assesses a few variables are deciding the market extension and also the volume of the entire market. The statement expresses merchant view of the market together with the profiles of a portion of the leading market players. The most imperative players in the Artificial Intelligence in Security market are likewise discussed in the report.
Request for a sample report here https://www.orbisresearch.com/contacts/request-sample/4577924
Artificial Intelligence in Security leading players, together with manufacturing, cost, earnings (value) and market share for every producer:
Samsung
Amazon
Xilinx
Sift Science
Darktrace
SparkCognition
NVIDIA
Securonix
ThreatMetrix
Intel
Cylance
Micron
Acalvio
IBM
Skycure
Worldwide Artificial Intelligence in Security market report 2020 presents a comprehensive assessment including empowering technologies, key trends, market drivers, challenges, standardization, regulatory landscape, installation units and operator case studies, opportunities, prospective roadmap, value chain, significant player profiles, and strategies. The Artificial Intelligence in Security report also introduces predictions for investments from 2020 till 2027.
Artificial Intelligence in Security Industry On the Grounds of Types
Hardware
Software
Services
Artificial Intelligence in Security Industry Essential Applications/End Users:
Network Security
Endpoint Security
Application Security
Cloud Security
Leading Countries along with active players:
United States, Canada, Germany, UK, France, Italy, Spain, Russia, Netherlands, Turkey, Switzerland, Sweden, Poland, Belgium, China, Japan, South Korea, Australia, India, Taiwan, Indonesia, Thailand, Philippines, Malaysia, Brazil, Mexico, Argentina, Columbia, Chile, Saudi Arabia, UAE, Egypt, Nigeria, South Africa and Rest of the World.
The global Artificial Intelligence in Security market study responds to the following crucial questions:
– What is going to be the industry size and also the growth rate by 2020-2027?
– Which would be the crucial elements driving the Artificial Intelligence in Security economy?
– Who’re the primary market players and what are the plans from the Artificial Intelligence in Security market?
– Which would be the relevant market trends affecting the development of this Artificial Intelligence in Security market?
– Which trends, barriers, and challenges are impacting its growth?
– What would be industry opportunities and restraints with the vendors from the Artificial Intelligence in Security market?
– What would be the essential outcomes of this PORTOR five forces analysis of this Artificial Intelligence in Security market?
Ask our Expert if You Have a Query at: https://www.orbisresearch.com/contacts/enquiry-before-buying/4577924
The global Artificial Intelligence in Security market appraisal is evaluated all through the exploration and also finishes up the information utilizing Doorman’s five examinations available development. The investigation assesses the worldwide Artificial Intelligence in Security Market regarding amount [k MT] and sales volume [USD Mn/Bn]. Further, the report additionally informs the Artificial Intelligence in Security market given the fabricated merchandise classes and client sections and besides the improvement of each segmented is computed over the anticipated time.
The analysis gives a simple summary of this Artificial Intelligence in Security industry for example definitions, classes, software, and industry series arrangement, and development plans and policies are all discussed in addition to manufacturing processes and cost arrangements. Afterward, the Artificial Intelligence in Security report targets leading top industry players together with company profiles, product specifications and pictures, sales and market share and contact info. Moreover, the Artificial Intelligence in Security industry growth trends and marketing stations have been examined.
The Artificial Intelligence in Security analysis had been conducted with a goal blend of secondary and primary advice comprising inputs from key participants from the business. The Artificial Intelligence in Security report contains a thorough market and vendor landscape along with SWOT analysis of the critical vendors.
The analysis covers upstream, equipments, Artificial Intelligence in Security downstream client survey, promotion stations, economy development tendency and suggestions, which specifically consist of invaluable information about Artificial Intelligence in Security essential applications and ingestion, vital regions, key providers, leading manufacturing supplies providers and contact info, leading providers, active consumers and contact info, and distribution chain investigation.
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| Artificial Intelligence in Security Market 2020 Business Overview, Comprehensive Study By Segmentation, Key Players | Artificial Intelligence Security Market 2020 Business Overview, Comprehensive Study By Segmentation, Key Players Samsung, Amazon, Xilinx, Sift Science, Darktrace, SparkCognition, NVIDIA, Securonix, ThreatMetrix, Intel, Cylance, Micron, Acalvio, IBM, Skycure The Think Curiouser Skip content The Think Curiouser Menu Space Energy News Finance for: Close search Close Menu Space Energy News Finance Categories Finance News Artificial Intelligence Security Market 2020 Business Overview, Comprehensive Study By Segmentation, Key Players Samsung, Amazon, Xilinx, Sift Science, Darktrace, SparkCognition, NVIDIA, Securonix, ThreatMetrix, Intel, Cylance, Micron, Acalvio, IBM, Skycure Post author By anita_adroit Post date November 17, 2020 Global Artificial Intelligence Security Market: Worldwide Industry Estimates, Offers, Development, Patterns, forecast 20202027 exploration report gives date industry information future industry trends, enabling recognize types end clients driving development productivity. Artificial Intelligence Security Market report systematic analysis market globally presenting propelled situation market conspires guide extension coming years. The Artificial Intelligence Security market report assesses variables deciding market extension volume entire market. The statement expresses merchant view market profiles portion leading market players. The imperative players Artificial Intelligence Security market likewise discussed report. Request sample report Artificial Intelligence Security leading players, manufacturing, cost, earnings value market share producer: Samsung Amazon Xilinx Sift Science Darktrace SparkCognition NVIDIA Securonix ThreatMetrix Intel Cylance Micron Acalvio IBM Skycure Worldwide Artificial Intelligence Security market report 2020 presents comprehensive assessment including empowering technologies, key trends, market drivers, challenges, standardization, regulatory landscape, installation units operator case studies, opportunities, prospective roadmap, value chain, significant player profiles, strategies. The Artificial Intelligence Security report introduces predictions investments 2020 till 2027. Artificial Intelligence Security Industry On Grounds Types Hardware Software Services Artificial Intelligence Security Industry Essential ApplicationsEnd Users: Network Security Endpoint Security Application Security Cloud Security Leading Countries active players: United States, Canada, Germany, UK, France, Italy, Spain, Russia, Netherlands, Turkey, Switzerland, Sweden, Poland, Belgium, China, Japan, South Korea, Australia, India, Taiwan, Indonesia, Thailand, Philippines, Malaysia, Brazil, Mexico, Argentina, Columbia, Chile, Saudi Arabia, UAE, Egypt, Nigeria, South Africa Rest World. The global Artificial Intelligence Security market study responds following crucial questions: What going industry size growth rate 20202027? Which crucial elements driving Artificial Intelligence Security economy? Whore primary market players plans Artificial Intelligence Security market? Which relevant market trends affecting development Artificial Intelligence Security market? Which trends, barriers, challenges impacting growth? What industry opportunities restraints vendors Artificial Intelligence Security market? What essential outcomes PORTOR forces analysis Artificial Intelligence Security market? Ask Expert You Have Query at: The global Artificial Intelligence Security market appraisal evaluated exploration finishes information utilizing Doormans examinations available development. The investigation assesses worldwide Artificial Intelligence Security Market [k MT] sales volume [USD MnBn]. Further, report additionally informs Artificial Intelligence Security market given fabricated merchandise classes client sections improvement segmented computed anticipated time. The analysis gives simple summary Artificial Intelligence Security industry example definitions, classes, software, industry series arrangement, development plans policies discussed addition manufacturing processes cost arrangements. Afterward, Artificial Intelligence Security report targets leading industry players company profiles, product specifications pictures, sales market share contact info. Moreover, Artificial Intelligence Security industry growth trends marketing stations examined. The Artificial Intelligence Security analysis conducted goal blend secondary primary advice comprising inputs key participants business. The Artificial Intelligence Security report contains thorough market vendor landscape SWOT analysis critical vendors. The analysis covers upstream, equipments, Artificial Intelligence Security downstream client survey, promotion stations, economy development tendency suggestions, specifically consist invaluable information Artificial Intelligence Security essential applications ingestion, vital regions, key providers, leading manufacturing supplies providers contact info, leading providers, active consumers contact info, distribution chain investigation. : Orbis Research single point aid market research requirements. We vast database reports leading publishers authors globe. We specialize delivering customized reports requirements clients. We complete information publishers sure accuracy industries verticals specialization. This helps clients map needs produce perfect required market research study clients. Us: Hector Costello Senior Manager Client Engagements 4144N Central Expressway, Suite 600, Dallas, Texas 75204, U.S.A. Phone No.: USA: 1 9723628199 IND: 91 895 659 5155 Email ID: [emailprotected] Direct Purchase Report @ Polyetheramide Market 2020 Global Industry Analysis Key Players, Share, Revenue, Trends, Size, Growth Opportunities And Regional Forecast 2026 Auto Draft Space Energy News Finance for: Recent Posts WalkIn Stability Test Chambers Market Growth Status Explored New Research Report: ESPEC, Thermotron, Weiss Technik, CSZ, CME, Envsin, Russells Technical Products, TPS, Scientific Climate Systems, More? Auto Draft Artificial Intelligence Security Market 2020 Business Overview, Comprehensive Study By Segmentation, Key Players Samsung, Amazon, Xilinx, Sift Science, Darktrace, SparkCognition, NVIDIA, Securonix, ThreatMetrix, Intel, Cylance, Micron, Acalvio, IBM, Skycure Polyetheramide Market 2020 Global Industry Analysis Key Players, Share, Revenue, Trends, Size, Growth Opportunities And Regional Forecast 2026 Pharmaceutical Retail Market 2020 Business Overview, Comprehensive Study By Segmentation, Key Players Durbell Pharmacies, DISCHEM PHARMACIES, Pharma Direct, Clicks, MKem 24 Hours Pharmacy, MediRite, Sun valley Pharmacy, Wynberg Pharmacy, Alpha pharm pharmacies, Springbok pharmacy 2020 The Think Curiouser Powered WordPress To Up | 2,020 | [
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https://www.news-medical.net/news/20200124/A-single-number-aids-biomedical-data-scientists-in-finding-deadly-cancer-cells.aspx | 2020-01-24T00:00:00 | en |
A single number aids biomedical data scientists in finding deadly cancer cells
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A single number aids biomedical data scientists in finding deadly cancer cells
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A single number aids biomedical data scientists in finding deadly cancer cells
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Reviewed by Kate Anderton, B.Sc. (Editor)Jan 24 2020
Biomedical data scientists at the Stanford University School of Medicine have shown that the number of genes a cell uses to make RNA is a reliable indicator of how developed the cell is, a finding that could make it easier to target cancer-causing genes.
Cells that initiate cancer are thought to be stem cells, which are hard-to-find cells that can reproduce themselves and develop, or differentiate, into more specialized tissue, such as skin or muscle -- or, when they go bad, into cancer.
Right now, targeted therapies are focused on specific genes or molecules, the vast majority of which may not be specific to cancer stem cells. Usually these therapies don't work for very long. But if you can identify the least-differentiated cells and then look for markers specific to them, it's no longer a guessing game to find the genes to target."
Aaron Newman, PhD, assistant professor of biomedical data science and a member of the Institute for Stem Cell Biology and Regenerative Medicine
The study's finding is also significant because identifying stem cells of various tissue types is an important step toward regenerating damaged or malfunctioning tissues.
What the scientists showed is that as stem cells become more differentiated and more like adult cells, they express fewer and fewer genes. Previously, other researchers had noticed this correlation and thought it might be an interesting coincidence. But Newman and his colleagues were the first to sort through thousands of single-cell genetic tests in public databases and prove this pattern was consistent and reliable.
Newman and MD-PhD student Gunsagar Gulati combined the measurement of the number of genes expressed in a cell with the measurement of the number of RNA copies created per gene as the basis for a computer algorithm, CytoTRACE, designed to determine how developmentally advanced cells are.
A paper describing the research is being published online Jan. 24 in Science. Newman is the senior author. Gulati and Shaheen Sikandar, PhD, an instructor at the institute, share lead authorship.
Tumor cells are diverse
Cancerous tumors can contain many millions of cells, each of which may have thousands of gene mutations. The cells in a tumor are diverse. Most will be differentiated cells that die out naturally on their own, while relatively few are the more dangerous cancer stem cells, or tumor-initiating cells. These cells are hard to find and therefore hard to characterize using current methods, but far easier to find with CytoTRACE.
"As a cancer researcher, what I find most exciting is that this tool helps us find the tumor-initiating cells that have long been known to be responsible for resistance to treatment, metastasis and relapse after treatment," Sikandar said.
Michael Clarke, MD, one of the authors of the paper, was the first researcher to identify cancer stem cells in a solid tumor. A professor of medicine at Stanford, Clarke said that CytoTRACE, which analyzes data on all the RNA created in a single cell, can quickly recapitulate research that takes years using traditional methods. "The way that we currently find cell markers for cancer stem cells is to make educated guesses about which markers will likely be important, then sort those cells and look for stem cell activity," said Clarke, the Karel H. and Avice N. Beekhuis Professor in Cancer Biology and associate director of the Institute for Stem Cell Biology and Regenerative Medicine.
Related StoriesHalting metastasis by preventing cancer cells from using fatResearchers confirm safety of cancer-specific PET probe in first-in-human clinical studiesVirtual reality during chemotherapy could help improve breast cancer patients' quality of lifeResearchers can look at relatively few markers at a time, so it takes a lot of sorting and analysis, and in the end, they will likely be only partially successful in finding good markers of the stem cells they are looking for, he said. "What CytoTRACE allows us to do is first find the stem or progenitor cells, then look at what unique markers they have on them."
In the paper, the researchers describe using CytoTRACE to query single-cell RNA data for triple-negative breast cancer, a type of tumor that is rarer but more dangerous because tumor growth doesn't rely on the biochemical pathways that physicians usually target to treat breast cancer. Not only did CytoTRACE identify known markers of cancer stem cells, it also spotted a marker that had not been previously been thought to be important. "This one gene looks like it has amazing potential as a therapeutic," Clarke said.
Potential tool for hunting other disease-linked stem cells
CytoTRACE also has the potential to transform how researchers hunt for stem cells associated with other diseases, Newman said. "This tool could also be useful in finding treatments for disorders such as Alzheimer's or other degenerative diseases where loss of stem cell function might be part of the disease process," he said.
Regenerative medicine, in which diseased or damaged tissue is repaired through the activity of stem cells, requires the ability to isolate purified populations of stem cells specific to a given tissue. To regrow bone, the heart or the eyes, for example, researchers must first find the stem cells responsible for regrowing those organs. Finding the markers that are specific to these normal stem cells has been much like the process for finding cancer stem cell markers, the researchers say -- that is, the product of educated guesses, luck and a lot of work in the lab. CytoTRACE could significantly shorten that process.
"One of the main motivations behind developing CytoTRACE was to create a tool for rapid and accurate identification of stem cells in humans," Gulati said. "But another important question we hope to answer is how the inner workings of a cell change as the cell transforms from one state to another. This research opens up a whole new avenue of research to study how global changes in gene expression and DNA structure influence a cell's state."
Overall, Newman said, the study shows the power and promise of using big data to advance biology and medicine through computer research that complements discoveries made in the lab.
"It wouldn't have been possible to gather all this data in our lab, but by using public databases and asking the right questions, it's more and more possible to make fundamental discoveries in biology and medicine," he said.
Source:Stanford MedicineJournal reference:Gulati, G. S., et al. (2020) Single-cell transcriptional diversity is a hallmark of developmental potential. Science. doi.org/10.1126/science.aax0249.
Posted in: Molecular & Structural Biology | Cell Biology
Tags: Bone, Breast Cancer, Cancer, Cell, Cell Biology, Children, Children's Health, DNA, Education, Gene, Gene Expression, Genes, Genetic, Health Care, Heart, Laboratory, Medical School, Medicine, Metastasis, Muscle, Progenitor Cells, Research, RNA, Skin, Stem Cells, Surgery, Tumor
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New uses for old medicines
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A single number aids biomedical data scientists in finding deadly cancer cells
| A single number aids biomedical data scientists finding deadly cancer cells Medical Home Life Sciences Home Become Member Medical Home Life Sciences Home About News Health AZ Drugs Medical Devices Interviews White Papers MediKnowledge More... Newsletters Health Personal Care Meet Team Advertise Medical Home Life Sciences Home About News Life Sciences AZ White Papers Lab Equipment Interviews Newsletters Webinars More... Meet Team Advertise MediKnowledge Newsletters Health Personal Care Meet Team Advertise Webinars Meet Team Advertise Menu A single number aids biomedical data scientists finding deadly cancer cells Download PDF Copy Reviewed Kate Anderton, B.Sc. EditorJan 24 2020 Biomedical data scientists Stanford University School Medicine shown number genes cell uses RNA reliable indicator developed cell is, finding easier target cancercausing genes. Cells initiate cancer thought stem cells, hardtofind cells reproduce develop, differentiate, specialized tissue, skin muscle or, bad, cancer. Right now, targeted therapies focused specific genes molecules, vast majority specific cancer stem cells. Usually therapies dont work long. But identify leastdifferentiated cells look markers specific them, longer guessing game genes target. Aaron Newman, PhD, assistant professor biomedical data science member Institute Stem Cell Biology Regenerative Medicine The studys finding significant identifying stem cells tissue types important step regenerating damaged malfunctioning tissues. What scientists showed stem cells differentiated like adult cells, express fewer fewer genes. Previously, researchers noticed correlation thought interesting coincidence. But Newman colleagues sort thousands singlecell genetic tests public databases prove pattern consistent reliable. Newman MDPhD student Gunsagar Gulati combined measurement number genes expressed cell measurement number RNA copies created gene basis algorithm, CytoTRACE, designed determine developmentally advanced cells are. A paper describing research published online Jan. 24 Science. Newman senior author. Gulati Shaheen Sikandar, PhD, instructor institute, share lead authorship. Tumor cells diverse Cancerous tumors contain millions cells, thousands gene mutations. The cells tumor diverse. Most differentiated cells die naturally own, relatively dangerous cancer stem cells, tumorinitiating cells. These cells hard hard characterize current methods, far easier CytoTRACE. As cancer researcher, I exciting tool helps tumorinitiating cells long known responsible resistance treatment, metastasis relapse treatment, Sikandar said. Michael Clarke, MD, authors paper, researcher identify cancer stem cells solid tumor. A professor medicine Stanford, Clarke said CytoTRACE, analyzes data RNA created single cell, quickly recapitulate research takes years traditional methods. The way currently cell markers cancer stem cells educated guesses markers likely important, sort cells look stem cell activity, said Clarke, Karel H. Avice N. Beekhuis Professor Cancer Biology associate director Institute Stem Cell Biology Regenerative Medicine. Related StoriesHalting metastasis preventing cancer cells fatResearchers confirm safety cancerspecific PET probe firstinhuman clinical studiesVirtual reality chemotherapy help improve breast cancer patients quality lifeResearchers look relatively markers time, takes lot sorting analysis, end, likely partially successful finding good markers stem cells looking for, said. What CytoTRACE allows stem progenitor cells, look unique markers them. In paper, researchers CytoTRACE query singlecell RNA data triplenegative breast cancer, type tumor rarer dangerous tumor growth doesnt rely biochemical pathways physicians usually target treat breast cancer. Not CytoTRACE identify known markers cancer stem cells, spotted marker previously thought important. This gene looks like amazing potential therapeutic, Clarke said. Potential tool hunting diseaselinked stem cells CytoTRACE potential transform researchers hunt stem cells associated diseases, Newman said. This tool useful finding treatments disorders Alzheimers degenerative diseases loss stem cell function disease process, said. Regenerative medicine, diseased damaged tissue repaired activity stem cells, requires ability isolate purified populations stem cells specific given tissue. To regrow bone, heart eyes, example, researchers stem cells responsible regrowing organs. Finding markers specific normal stem cells like process finding cancer stem cell markers, researchers is, product educated guesses, luck lot work lab. CytoTRACE significantly shorten process. One main motivations developing CytoTRACE create tool rapid accurate identification stem cells humans, Gulati said. But important question hope answer inner workings cell change cell transforms state another. This research opens new avenue research study global changes gene expression DNA structure influence cells state. Overall, Newman said, study shows power promise big data advance biology medicine research complements discoveries lab. It wouldnt possible gather data lab, public databases asking right questions, possible fundamental discoveries biology medicine, said. Source:Stanford MedicineJournal reference:Gulati, G. S., et al. 2020 Singlecell transcriptional diversity hallmark developmental potential. Science. 10.1126science.aax0249. Posted in: Molecular Structural Biology Cell Biology Tags: Bone, Breast Cancer, Cancer, Cell, Cell Biology, Children, Childrens Health, DNA, Education, Gene, Gene Expression, Genes, Genetic, Health Care, Heart, Laboratory, Medical School, Medicine, Metastasis, Muscle, Progenitor Cells, Research, RNA, Skin, Stem Cells, Surgery, Tumor Comments 0 Download PDF Copy Suggested Reading Patient enrollment potentially lifeextending clinical trials lowDiscovery potent immune cell destroy multiple types cancerUCR receives 2.2 million grant target critical oncogenes Bcell lymphoma 2Weightloss drug Belviq increases risk cancer, FDA warnsDiscovery new killer Tcell offers hope onesizefitsall cancer therapyLab tests reveal newly discovered Tcell kill types cancerResearchers discover new regions noncoding DNA lead cancer growthStudy uncovers anticancer potential nononcology drugs Comments The opinions expressed views writer necessarily reflect views opinions NewsMedical.Net. 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] | 1 | NEGATIVE | 22 |
https://www.cnn.com/2020/06/24/africa/un-africa-telcos-coronavius-intl/index.html?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+rss%2Fedition_africa+%28RSS%3A+CNNi+-+Africa%29 | 2020-06-27T00:00:00 | en | UN, telcos in Africa take on Covid-19 with AI and digital service - CNN |
UN, telcos in Africa take on Covid-19 with AI and digital service - CNN
WorldAfricaAmericasAsiaAustraliaChinaEuropeIndiaMiddle EastUnited KingdomEditionU.S.InternationalArabicEspañolAfricaAmericasAsiaAustraliaChinaEuropeIndiaMiddle EastUnited KingdomSearchEditionU.S.InternationalArabicEspañolUSCrime + JusticeEnergy + EnvironmentExtreme WeatherSpace + ScienceWorldAfricaAmericasAsiaAustraliaChinaEuropeIndiaMiddle EastUnited KingdomPoliticsDonald TrumpSupreme CourtCongressFacts First2020 ElectionBusinessMarketsTechMediaSuccessPerspectivesVideosOpinionPolitical Op-EdsSocial CommentaryHealthFoodFitnessWellnessParentingVital SignsEntertainmentStarsScreenBingeCultureMediaTechInnovateGadgetForeseeable FutureMission: AheadUpstartsWork TransformedInnovative CitiesStyleArtsDesignFashionArchitectureLuxuryBeautyVideoTravelDestinationsFood and DrinkStayNewsVideosSportsPro FootballCollege FootballBasketballBaseballSoccerOlympicsVideosLive TV Digital StudiosCNN FilmsHLNTV ScheduleTV Shows A-ZCNNVRCouponsCNN UnderscoredExploreWellnessGadgetsLifestyleCNN StoreMorePhotosLongformInvestigationsCNN ProfilesCNN LeadershipCNN NewslettersWork for CNNWeatherClimateStorm TrackerVideoFollow CNN
UN, telcos in Africa take on Covid-19 with AI and digital serviceBy Bukola Adebayo, CNNUpdated 9:44 AM ET, Wed June 24, 2020 Chat with us in Facebook Messenger. Find out what's happening in the world as it unfolds.A man walks outside the entrance to the Yaounde General Hospital in Yaounde, Cameroon on March 6, 2020. (CNN)The United Nations Economic Commission for Africa joined forces with a group of telecoms operating in Africa to reach over 600 million mobile subscribers with coronavirus health advice.The Africa Communications Intelligence Platform will be deployed on mobile phones via text and voice messaging in at least 23 African countries in its first phase, UNECA said.It will offer coronavirus-related health tips, feature a symptom checker and allow users to take short health and economic surveys related to the pandemic, Tunde Fafunwa of the UN economic agency in Africa told CNN.Fafunwa said the platform would analyze anonymous user-generated responses and information from social media platforms using artificial intelligence to identify trends around the outbreak.UNECA said insights gained from the curated data will be used to support national Covid-19 task forces and relevant ministries to help countries evaluate their response to the pandemic.Read MoreWith more than 320,000 coronavirus cases and the World Health Organization says the pandemic is accelerating on the continent.African countries are still waiting for a surge in Covid-19 cases. Some public health experts question whether it will happenSpot infection hotspotsAuthorities can also spot potential coronavirus hotspots and direct their social responses to areas from the platform's information, Fafunwa said "Some governments are trying to distribute social benefits and cash payments during the pandemic. The platform will give the opportunity to understand the economic and health situation better," Fafunwa told CNN.MTN CEO Rob Shuter said the service leverages existing simple narrowband technology that is beneficial for subscribers that don't have smart phones.Shuter said aside from its benefit to governments initiatives, operators can use the service to share timely information on the pandemic."What we see with Covid-19 is that we don't really have resources to deploy in an entire country, and this will help target our scarce resources and interventions as a society to where they're needed," Shuter said at the launch Tuesday.
SearchUSCrime + JusticeEnergy + EnvironmentExtreme WeatherSpace + ScienceWorldAfricaAmericasAsiaAustraliaChinaEuropeIndiaMiddle EastUnited KingdomPoliticsDonald TrumpSupreme CourtCongressFacts First2020 ElectionBusinessMarketsTech | UN, telcos in Africa take on Covid-19 with AI and digital service | UN, telcos Africa Covid19 AI digital service CNN WorldAfricaAmericasAsiaAustraliaChinaEuropeIndiaMiddle EastUnited KingdomEditionU.S.InternationalArabicEspaolAfricaAmericasAsiaAustraliaChinaEuropeIndiaMiddle EastUnited KingdomEditionU.S.InternationalArabicEspaolUSCrime JusticeEnergy EnvironmentExtreme WeatherSpace ScienceWorldAfricaAmericasAsiaAustraliaChinaEuropeIndiaMiddle EastUnited KingdomPoliticsDonald TrumpSupreme CourtCongressFacts First2020 ElectionBusinessMarketsTechMediaSuccessPerspectivesVideosOpinionPolitical OpEdsSocial CommentaryHealthFoodFitnessWellnessParentingVital SignsEntertainmentStarsScreenBingeCultureMediaTechInnovateGadgetForeseeable FutureMission: AheadUpstartsWork TransformedInnovative CitiesStyleArtsDesignFashionArchitectureLuxuryBeautyVideoTravelDestinationsFood DrinkStayNewsVideosSportsPro FootballCollege FootballBasketballBaseballSoccerOlympicsVideosLive TV Digital StudiosCNN FilmsHLNTV ScheduleTV Shows AZCNNVRCouponsCNN UnderscoredExploreWellnessGadgetsLifestyleCNN StoreMorePhotosLongformInvestigationsCNN ProfilesCNN LeadershipCNN NewslettersWork CNNWeatherClimateStorm TrackerVideoFollow CNN UN, telcos Africa Covid19 AI digital serviceBy Bukola Adebayo, CNNUpdated 9:44 AM ET, Wed June 24, 2020 Chat Facebook Messenger. Find whats happening world unfolds.A man walks outside entrance Yaounde General Hospital Yaounde, Cameroon March 6, 2020. CNNThe United Nations Economic Commission Africa joined forces group telecoms operating Africa reach 600 million mobile subscribers coronavirus health advice.The Africa Communications Intelligence Platform deployed mobile phones text voice messaging 23 African countries phase, UNECA said.It offer coronavirusrelated health tips, feature symptom checker allow users short health economic surveys related pandemic, Tunde Fafunwa UN economic agency Africa told CNN.Fafunwa said platform analyze anonymous usergenerated responses information social media platforms artificial intelligence identify trends outbreak.UNECA said insights gained curated data support national Covid19 task forces relevant ministries help countries evaluate response pandemic.Read MoreWith 320,000 coronavirus cases World Health Organization says pandemic accelerating continent.African countries waiting surge Covid19 cases. Some public health experts question happenSpot infection hotspotsAuthorities spot potential coronavirus hotspots direct social responses areas platforms information, Fafunwa said Some governments trying distribute social benefits cash payments pandemic. The platform opportunity understand economic health situation better, Fafunwa told CNN.MTN CEO Rob Shuter said service leverages existing simple narrowband technology beneficial subscribers dont smart phones.Shuter said aside benefit governments initiatives, operators use service share timely information pandemic.What Covid19 dont resources deploy entire country, help target scarce resources interventions society theyre needed, Shuter said launch Tuesday. USCrime JusticeEnergy EnvironmentExtreme WeatherSpace ScienceWorldAfricaAmericasAsiaAustraliaChinaEuropeIndiaMiddle EastUnited KingdomPoliticsDonald TrumpSupreme CourtCongressFacts First2020 ElectionBusinessMarketsTech | 2,020 | [
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https://presstories.com/2020/04/30/these-memes-created-by-ai-are-as-hilarious-as-you-expected/ | 2020-04-30T00:00:00 | en | These memes created by AI are as hilarious as you expected |
These memes created by AI are as hilarious as you expected
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These memes created by AI are as hilarious as you expected
by Arzu
April 30, 2020
world
Ah, meemit. The Internet’s favorite mode of communication is the fast-growing, fast-moving combination of images and closed text, and if you take a week off online, you’ve forgotten the generation of new mimes. There are good memes and bad memes. The ladies are distributed, mailed and distributed throughout social media. You never see the bad, because well, they are not shared.
Now a new class of memes is emerging, and they have not been created by human hand. They are AI meme and ImgFlip – an online tool for making memes, charts and other visual quirks – has released them for us at the best possible time.
The idea is pretty simple. You use popular meme formats like “Distracted Boyfriend” or “Two Buttons,” and let AI come up with text annotations and captions. Because there is so much meme on the Internet, training such an algorithm is easy for ImgFlip. The site funnels into the neural network the memes created by users on the site using their own meme-making tools, teaching it how to have fun.
Somehow at the odds of everything, it works pretty well in an absuristic way.
ImgFlip
“These captions are created by a deep artificial neural network,” the site explains the AI memegenerator. “None of the text creation is coded except that the maximum length of the text is limited for health reasons. The template uses character-level prediction, so you can specify the prefix text of one or more characters to affect the generated text. Someone using a name or other short text as a prefix works best. “
Sometimes AI comprises a meme that appears to be man-made. The flow of labels matches what you might already expect to see. Other times, nothing seems to match and the word salad fills the screen. Most attacks are memes that fall in the middle of these two extremes. They are adorable and absurd and endlessly chipping. All you have to do is choose a meme format and let the AI come up with what you want. Here is a small sample of the results.
Maybe it’s just a mild delirium getting stuck during a virus pandemic, but there’s something about this goofy web tool that’s just incredibly perfect. I strongly encourage you Try it for yourselfor at least jump on the site and browse a collection of other AI memes you’ve already created.
Source —–> https://nypost.com/2020/04/30/these-ai-generated-memes-are-as-hilarious-as-youd-expect/
About the author: Arzu
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| These memes created by AI are as hilarious as you expected | These memes created AI hilarious expected DMCA Form Home Top News Business Tech sports entertainment world Menu PagesDMCA Form CategoriesHome Top News Business Tech sports entertainment world These memes created AI hilarious expected Arzu April 30, 2020 world Ah, meemit. The Internets favorite mode communication fastgrowing, fastmoving combination images closed text, week online, youve forgotten generation new mimes. There good memes bad memes. The ladies distributed, mailed distributed social media. You bad, well, shared. Now new class memes emerging, created human hand. They AI meme ImgFlip online tool making memes, charts visual quirks released best possible time. The idea pretty simple. You use popular meme formats like Distracted Boyfriend Two Buttons, let AI come text annotations captions. Because meme Internet, training algorithm easy ImgFlip. The site funnels neural network memes created users site mememaking tools, teaching fun. Somehow odds everything, works pretty absuristic way. ImgFlip These captions created deep artificial neural network, site explains AI memegenerator. None text creation coded maximum length text limited health reasons. The template uses characterlevel prediction, specify prefix text characters affect generated text. Someone short text prefix works best. Sometimes AI comprises meme appears manmade. The flow labels matches expect see. Other times, match word salad fills screen. Most attacks memes fall middle extremes. They adorable absurd endlessly chipping. All choose meme format let AI come want. Here small sample results. Maybe mild delirium getting stuck virus pandemic, theres goofy web tool thats incredibly perfect. I strongly encourage Try yourselfor jump site browse collection AI memes youve created. Source > About author: Arzu View posts Arzu Related Posts Parental hard balancing like wine April 30, 2020 Scientists use bioluminescent fungi create plants glow dark April 30, 2020 NASAs Lunar Flashlight building looking water moon April 30, 2020 Leave Reply Cancel replyYour email address published. Required fields marked Comment Name Email Website Save name, email, website browser time I comment. Categories Business Companies entertainment Science sports Technology Top News world Important Pages Form DMCA Stay uptodate Get Latest News With Important Note Press Stories Just News Aggregator Website, We dont articles published here. You directly contact source mentioned articles. ase need help contact Us We actions immediately maximum 24 hours. Advertising? Do want advertise product services Platforms? Feel free contact Form 2020 The Press Stories Theme HappyThemes DMCA Form | 2,020 | [
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https://www.indiapost.com/dubai-based-indian-expat-count-his-lucky-stars-as-7-family-members-survive-ai-plane-crash/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+indiapost+%28IndiaPost+-+Voices+of+Indians+Worldwide%29 | 2020-08-08T00:00:00 | en | Dubai-based Indian expat count his lucky stars as 7 family members survive AI plane crash | India Post News Paper | Dubai-based Indian expat count his lucky stars as 7 family members survive AI plane crash | India Post News Paper
India Post News Paper IndiaCommunityWorldPoliticalTechBizLifestyleSport News DiasporaReal EstateImmigrationWellnessSouth AsiaTraveleventsEpaperHoroscopePhilosophyContact UsPost Adv. & ArticlesPerspective Breaking News PM Oli opens new fronts of Indo-Nepal disputes NEW DELHI/KATHMANDU: Needling India further, the K.P. Oli-led Nepal government has started the construction of a helipad at a disputed site in Bihar besides beginning the installation of 360-degree CCTV... Netflix launches Hindi-language user interface NEW DELHI: Netflix has launched its user interface in Hindi to enable users who prefer the most-spoken language to easily discover, access and enjoy their favourite streaming content in the... California COVID-19 deaths surpass 10k SAN FRANSISCO: The number of coronavirus deaths in California, the new epicentre of the COVID-19 pandemic in the US, has surpassed the 10,000 mark, according to the state’s Department of... 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Since Friday evening, 41-year-old Shemir, who works as a logistics manager in Dubai Silicon Oasis, has been making frantic phone calls to different trauma centres in Kerala near the Kozhikode airport to get information of his family members on board the flight. The Air India Express flight IX-1344 from Dubai with 190 on board overshot the tabletop runway at Kozhikode airport in Kerala on Friday night while landing in heavy rain and fell into a valley 35 feet below and broke into two, killing at least 18 people, including pilot-in-command Captain Deepak Sathe and his co-pilot Akhilesh Kumar .“The news came as a real shock and we couldn’t contact them for a long time,” Shemir told PTI. “When I finally managed to speak to my wife, she told me that she and the other family members were rescued by the local people,” he said and thanked the authorities and the local people who rushed to his family’s rescue at the site of the crash.Shemir’s wife was travelling with their two daughters and a son. His brother Safvan’s wife and their daughter and a son were also on board the Vande Bharat flight from Dubai to Kozhikode.Shemir said the family members were wounded in the crash but their injuries are not life threatening. However, they are admitted in trauma centres of three different hospitals in Calicut and Malappuram in Kerala.“My brother’s visa had expired, so we decided to send both the families together,” Shemir said. His brother 35-year-old Safvan, who works as an accountant, was not on the flight. According to the Civil Aviation Ministry, the Boeing 737 aircraft was carrying 184 people, including 10 infants, 2 pilots and 4 cabin crew.The Indian consulates in Dubai and Sharjah have activated five helpline numbers to provide information to the family members of the deceased and the injured passengers. Meanwhile, Muneer, another expatriate whose sister-in-law Manal was in the flight, said his brother and family are “beyond consolable”. “We do not know what has happened to her. I had lunch with her and my brother on Thursday night and she was really excited about going home,” he said.“There is no confirmation about anything. It is utter chaos and we are really hoping to get some news about her,” Muneer was quoted as saying by the Khaleej Times. Abdul Manaf, another Dubai expat said he was relieved to finally get in touch with his wife Hadiya, and child, who are currently in a hospital in Kozhikode.“Such a relief after speaking to her. You can imagine what I went through after hearing the news,” Manaf told Khaleej Times. They were in Dubai for four months on a visit visa. Dubai resident Abdullah and his wife were relieved to hear from their nephew a couple of hours after the accident.He said, “my wife’s sister Zenobia Mohammed Ali with her two boys aged 4 and 15 were on the flight. The older boy Azam borrowed somebody’s mobile and called us. We are glad he is fine and was in a position to talk. “My sister-in-law and her younger son have been spotted in two separate hospitals in Calicut. Our relatives there are trying to locate them. We don’t know what kind of injuries they have sustained but we are just indebted to God that they are alive,” he said.According to India’s newly appointed Consul General to Dubai Dr Aman Puri, there were all kinds of Indians on-board the flight. “Some were visa cancellation and expiry cases, some were travelling to meet their family members, some having lost their jobs, and some were travelling on medical emergencies,” Puri told the local media.Comments commentsRelated Articles Scroll Back To Top Cheating husband guilty of Indian-origin pharmacist’s murder in UK 0 Indian-origin man charged for with woman’s murder in Singapore 0 No plans to hang boots: 97-yr-old Indian-origin man renews driving licence in UAE 0 PollsWill it be right decision for India to join QUAD naval exercises? YES NOView Results Loading ...Polls ArchiveE-paper Latest Edition ADVERTISEMENT – SHEA HOMESADVERTISEMENT – HOMES BY WARMINGTON ADVERTISEMENT – SEVEN JACKPOTSADVERTISEMENT – BETRALLY INDIA50 SPIRITUAL APPETIZERS – VINOD DHAWANIt’s a lovely book. It feels energetically clear and light. It’s easy to read, dip in and out and most importantly it offers information without fluff! Blessings on this project.Jac O’Keeffe Spirituality teacher based in USA.*Available on Amazon, Flipkart & other online stores*ADVERTISEMENT – JOBSORA- FIND A JOB NOW!Follow us On Twitter PM Oli opens new fronts of Indo-Nepal disputes - https://t.co/NZoGcJZEQz Get your news featured use #IndiaPostUSA… https://t.co/aLQb45svTT h J R -
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Dubai-based Indian expat count his lucky stars as 7 family members survive AI plane crash DUBAI: Dubai-based Indian expat Shemir Vadakkan Pathappiriyam is exhausted but overjoyed as all the seven members of his and his brother’s family survived the Air India Express plane crash in... PM to launch financing facility of Rs 1 lakh cr under Agriculture Infrastructure Fund on Sunday NEW DELHI: Prime Minister Narendra Modi will on Sunday launch a financing facility of Rs one lakh crore under the Agriculture Infrastructure Fund. He will also release the sixth instalment of... 2022 World Cup is goal now but I will take it series by series: Jhulan Goswami NEW DELHI: India’s premier pacer Jhulan Goswami will be 39 by the time the postponed Women’s World Cup comes in 2022 but the leading wicket-taker in ODIs has not given... 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| Dubai-based Indian expat count his lucky stars as 7 family members survive AI plane crash | Dubaibased Indian expat count lucky stars 7 family members survive AI plane crash India Post News Paper India Post News Paper IndiaCommunityWorldPoliticalTechBizLifestyleSport News DiasporaReal EstateImmigrationWellnessSouth AsiaTraveleventsEpaperHoroscopePhilosophy UsPost Adv. ArticlesPerspectiveBreaking News PM Oli opens new fronts IndoNepal disputes NEW DELHIKATHMANDU: Needling India further, K.P. Oliled Nepal government started construction helipad disputed site Bihar beginning installation 360degree CCTV... Netflix launches Hindilanguage user interface NEW DELHI: Netflix launched user interface Hindi enable users prefer mostspoken language easily discover, access enjoy favourite streaming content the... California COVID19 deaths surpass 10k SAN FRANSISCO: The number coronavirus deaths California, new epicentre COVID19 pandemic US, surpassed 10,000 mark, according states Department of... Saudi holds oil Pak Qureshis threat split OIC ISLAMABAD: Saudi Arabia halted provision oil loan Pakistan Imran Khan government threatened split Organization Islamic Countries OIC Kashmir. Hit... Dubaibased Indian expat count lucky stars 7 family members survive AI plane crash DUBAI: Dubaibased Indian expat Shemir Vadakkan Pathappiriyam exhausted overjoyed seven members brothers family survived Air India Express plane crash in... PM launch financing facility Rs 1 lakh cr Agriculture Infrastructure Fund Sunday NEW DELHI: Prime Minister Narendra Modi Sunday launch financing facility Rs lakh crore Agriculture Infrastructure Fund.He release sixth instalment of... 2022 World Cup goal I series series: Jhulan Goswami NEW DELHI: Indias premier pacer Jhulan Goswami 39 time postponed Womens World Cup comes 2022 leading wickettaker ODIs given... With Reels launch, Zuckerbergs personal wealth hits 100bn SAN FRANSISCO: The personal wealth Facebook Founder CEO Mark Zuckerberg touched 100 billion social network launched TikTok rival called Instagram Reels week.With the... France reports biggest daily spike Covid19 cases Aprilend PARIS: France reported 2,288 new coronavirus cases 24 hours, biggest daily spike end April. In past week, France registered than... Global COVID19 cases 19.2mn: Johns Hopkins WASHINGTON: The overall number global coronavirus cases topped 19.2 million, deaths increased 719,000, according Johns Hopkins University. As Saturday morning, the... Rheas records spoke Mahesh Bhatt 16 times MUMBAI: Actress Rhea Chakrabortys details past year revealed regular touch family, Bollywood personalities like Mahesh Bhatt, apart late... Sushant Singh case: ED grills Rhea actor remains evasive MUMBAI: The Enforcement Directorate ED Friday questioned actor Rhea Chakraborty, brother Showik, chartered accountant Ritesh Shah manager Shruti Modi hours in... Deployment Indian Navy warships increased Indian Ocean NEW DELHI: With considerable increase deployment warships Indian Ocean Region IOR, Indian Navy providing strategic support fellow services in... Almost similar: 2010 Mangalore vs 2020 Kozhikode aircraft accidents NEW DELHI: Air India Express accident Kozhikode Friday similar tragedy Mangalore, 10yearsago, however, industry insiders cite vast technical differences two.... Slippery runway, tailwind likely caused Kozhikode crash: Experts CHENNAI: A deadly combination slippery runway, strong tailwind, bad weather conditions, landing ahead threshold spot resulted skidding illfated Air... Obama endorses IndianAmerican candidate Senate race WASHINGTON:Sara Gideon, Indianorigin Democratic senatorial candidate state Maine, endorsement US President Barack Obama November contest incumbent Republican Senator... UK wont hesitate add nations quarantine list: Sunak LONDON: The UK hesitate add countries travel quarantine list order protect public health amid COVID19 pandemic, Chancellor Rishi Sunak said on... SII produce 100M doses Covid vax India LMICs NEW DELHI: Serum Institute India SII, worlds largest vaccine manufacturer volume, entered new landmark partnership Gavi, The Vaccine Alliance Bill ... IPL title sponsorship: Eyes Amazon Unacademy, Jio dark horse NEW DELHI: The suspension Vivos title sponsorship Indian Premier League IPL opened market new brand come 2021 edition... New education policy foundation 21st century new India: PM NEW DELHI: The new National Education Policy NEP foundation new India, Prime Minister Narendra Modi said Friday, adding policy help close the... Dubaibased Indian expat count lucky stars 7 family members survive AI plane crash August 08 14:36 2020 Print This Article Share With Friends India Post News WeeklyDUBAI: Dubaibased Indian expat Shemir Vadakkan Pathappiriyam exhausted overjoyed seven members brothers family survived Air India Express plane crash Kerala claimed lives 18 copassengers Friday.Since Friday evening, 41yearold Shemir, works logistics manager Dubai Silicon Oasis, making frantic phone calls different trauma centres Kerala near Kozhikode airport information family members board flight. The Air India Express flight IX1344 Dubai 190 board overshot tabletop runway Kozhikode airport Kerala Friday night landing heavy rain fell valley 35 feet broke two, killing 18 people, including pilotincommand Captain Deepak Sathe copilot Akhilesh Kumar .The news came real shock contact long time, Shemir told PTI. When I finally managed speak wife, told family members rescued local people, said thanked authorities local people rushed familys rescue site crash.Shemirs wife travelling daughters son. His brother Safvans wife daughter son board Vande Bharat flight Dubai Kozhikode.Shemir said family members wounded crash injuries life threatening. However, admitted trauma centres different hospitals Calicut Malappuram Kerala.My brothers visa expired, decided send families together, Shemir said.His brother 35yearold Safvan, works accountant, flight. According Civil Aviation Ministry, Boeing 737 aircraft carrying 184 people, including 10 infants, 2 pilots 4 cabin crew.The Indian consulates Dubai Sharjah activated helpline numbers provide information family members deceased injured passengers.Meanwhile, Muneer, expatriate sisterinlaw Manal flight, said brother family consolable. We know happened her. I lunch brother Thursday night excited going home, said.There confirmation anything. It utter chaos hoping news her, Muneer quoted saying Khaleej Times.Abdul Manaf, Dubai expat said relieved finally touch wife Hadiya, child, currently hospital Kozhikode.Such relief speaking her. You imagine I went hearing news, Manaf told Khaleej Times. They Dubai months visit visa. Dubai resident Abdullah wife relieved hear nephew couple hours accident.He said, wifes sister Zenobia Mohammed Ali boys aged 4 15 flight. The older boy Azam borrowed somebodys mobile called us. We glad fine position talk.My sisterinlaw younger son spotted separate hospitals Calicut. Our relatives trying locate them. We dont know kind injuries sustained indebted God alive, said.According Indias newly appointed Consul General Dubai Dr Aman Puri, kinds Indians onboard flight. Some visa cancellation expiry cases, travelling meet family members, lost jobs, travelling medical emergencies, Puri told local media.Comments commentsRelated Articles Scroll Back To Top Cheating husband guilty Indianorigin pharmacists murder UK 0 Indianorigin man charged womans murder Singapore 0 No plans hang boots: 97yrold Indianorigin man renews driving licence UAE 0 PollsWill right decision India join QUAD naval exercises? YES NOView ResultsLoading ...Polls ArchiveEpaper Latest Edition ADVERTISEMENT SHEA HOMESADVERTISEMENT HOMES BY WARMINGTON ADVERTISEMENT SEVEN JACKPOTSADVERTISEMENT BETRALLY INDIA50 SPIRITUAL APPETIZERS VINOD DHAWANIts lovely book. It feels energetically clear light. Its easy read, dip importantly offers information fluff Blessings project.Jac OKeeffe Spirituality teacher based USA.Available Amazon, Flipkart online storesADVERTISEMENT JOBSORA FIND A JOB NOWFollow On Twitter PM Oli opens new fronts IndoNepal disputes Get news featured use IndiaPostUSA h J R August 8, 2020, 11:45 Netflix launches Hindilanguage user interface Get news featured use IndiaPostUSA h J R August 8, 2020, 11:29 California COVID19 ... Get news featured use IndiaPostUSA h J R August 8, 2020, 11:26 Saudi holds oil Pak ... Get news featured use IndiaPostUSA ChineseArmy h J R August 8, 2020, 11:24 Follow CATEGORIES Blog 3 Community Post 5168 Diaspora 367 Entertaintment 2265 ePaper 308 Events 56 Horoscope 96 Immigration 1066 India 9900 Life Style 2050 Perspective 47 Philosophy 441 Political 2623 Punjab Post 208 Real Estate 745 South Asia 456 Special Feature 35 Sports 1807 Supplements 15 Tech Biz 1308 Travel 1695 Uncategorized 2898 US News 1689 Video Gallery 1 Wellness 2019 World 4154Download Media KitBreaking News PM Oli opens new fronts IndoNepal disputes NEW DELHIKATHMANDU: Needling India further, K.P. Oliled Nepal government started construction helipad disputed site Bihar beginning installation 360degree CCTV... Netflix launches Hindilanguage user interface NEW DELHI: Netflix launched user interface Hindi enable users prefer mostspoken language easily discover, access enjoy favourite streaming content the... California COVID19 deaths surpass 10k SAN FRANSISCO: The number coronavirus deaths California, new epicentre COVID19 pandemic US, surpassed 10,000 mark, according states Department of... Saudi holds oil Pak Qureshis threat split OIC ISLAMABAD: Saudi Arabia halted provision oil loan Pakistan Imran Khan government threatened split Organization Islamic Countries OIC Kashmir. Hit... Dubaibased Indian expat count lucky stars 7 family members survive AI plane crash DUBAI: Dubaibased Indian expat Shemir Vadakkan Pathappiriyam exhausted overjoyed seven members brothers family survived Air India Express plane crash in... PM launch financing facility Rs 1 lakh cr Agriculture Infrastructure Fund Sunday NEW DELHI: Prime Minister Narendra Modi Sunday launch financing facility Rs lakh crore Agriculture Infrastructure Fund.He release sixth instalment of... 2022 World Cup goal I series series: Jhulan Goswami NEW DELHI: Indias premier pacer Jhulan Goswami 39 time postponed Womens World Cup comes 2022 leading wickettaker ODIs given... With Reels launch, Zuckerbergs personal wealth hits 100bn SAN FRANSISCO: The personal wealth Facebook Founder CEO Mark Zuckerberg touched 100 billion social network launched TikTok rival called Instagram Reels week.With the... France reports biggest daily spike Covid19 cases Aprilend PARIS: France reported 2,288 new coronavirus cases 24 hours, biggest daily spike end April. In past week, France registered than... 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Almost similar: 2010 Mangalore vs 2020 Kozhikode aircraft accidents NEW DELHI: Air India Express accident Kozhikode Friday similar tragedy Mangalore, 10yearsago, however, industry insiders cite vast technical differences two.... Slippery runway, tailwind likely caused Kozhikode crash: Experts CHENNAI: A deadly combination slippery runway, strong tailwind, bad weather conditions, landing ahead threshold spot resulted skidding illfated Air... Obama endorses IndianAmerican candidate Senate race WASHINGTON:Sara Gideon, Indianorigin Democratic senatorial candidate state Maine, endorsement US President Barack Obama November contest incumbent Republican Senator... UK wont hesitate add nations quarantine list: Sunak LONDON: The UK hesitate add countries travel quarantine list order protect public health amid COVID19 pandemic, Chancellor Rishi Sunak said on... SII produce 100M doses Covid vax India LMICs NEW DELHI: Serum Institute India SII, worlds largest vaccine manufacturer volume, entered new landmark partnership Gavi, The Vaccine Alliance Bill ... IPL title sponsorship: Eyes Amazon Unacademy, Jio dark horse NEW DELHI: The suspension Vivos title sponsorship Indian Premier League IPL opened market new brand come 2021 edition... New education policy foundation 21st century new India: PM NEW DELHI: The new National Education Policy NEP foundation new India, Prime Minister Narendra Modi said Friday, adding policy help close the... 1994 2020 India Post Media Pvt. Ltd.. All Rights reserved. Loading.. Close WindowLoading, Please Wait This second two. | 2,020 | [
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] | 1 | POSITIVE | 25 |
https://www.outlookindia.com/website/story/india-news-kerala-plane-crash-ai-express-says-3-relief-flights-arranged-to-assist-passengers/358230 | 2020-08-08T00:00:00 | en | Kerala Plane Crash: AI Express Says 3 Relief Flights Arranged To Assist Passengers |
Kerala Plane Crash: AI Express Says 3 Relief Flights Arranged To Assist Passengers
August 08, 2020
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Kerala Plane Crash: AI Express Says 3 Relief Flights Arranged To Assist Passengers
Kerala Plane Crash: AI Express Says 3 Relief Flights Arranged To Assist Passengers
The Air India Express flight from Dubai with 190 on board overshot the tabletop runway at Kozhikode airport on Friday night while landing in heavy rains and fell into a valley 35 feet below and broke into two, killing at least 17 people.
PTI
08 August 2020
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Rescue operation underway after an Air India Express flight with passengers on board en route from Dubai skidded off the runway while landing, at Karippur in Kozhikode.
PTI Photo
PTI
August 08, 2020 00:00 IST
Kerala Plane Crash: AI Express Says 3 Relief Flights Arranged To Assist Passengers
outlookindia.com
2020-08-08T09:29:17+05:30
Air India Express said on Saturday that three relief flights had been arranged to Kozhikode in Kerala to assist passengers and their family members affected by the plane crash a day ago.
It stated that Air India Chairman and Managing Director Rajiv Bansal, and Air India Express Chief Executive Officer K Shyam Sundar had already reached Kozhikode.
The Air India Express flight from Dubai with 190 on board overshot the tabletop runway at Kozhikode airport on Friday night while landing in heavy rains and fell into a valley 35 feet below and broke into two, killing at least 17 people.
Two special relief flights have been arranged from Delhi and one from Mumbai for rendering humanitarian assistance to all the passengers and the family members, the airline, a wholly-owned subsidiary of Air India, said.
"The Emergency Response Director is coordinating with all the agencies in Calicut (Kozhikode), Mumbai as well as Delhi, Dubai for effective emergency response," it said in a statement.
"The AAIB (Aircraft Accident Investigation Bureau), DGCA (Directorate General of Civil Aviation) & Flight Safety Departments have reached for investigating the accident," it added.
Officials said Civil Aviation Minister Hardeep Singh Puri would go to Kozhikode on Saturday.
The airline said its chief of operations and the chief of flight safety had already reached Kozhikode.
Seventeen people, including two pilots, have died in the incident, it said. "The four cabin crew members are confirmed safe."
The aircraft was a Boeing 737.
"We are aware of media reports from Kozhikode International Airport (Karipur Airport) in Calicut, India," aircraft manufacturer Boeing said in a statement.
"We are gathering more information, and closely monitoring the situation. We have reached out to our customer to offer our assistance," it said.
Scheduled international passenger flights continue to remain suspended in India since March 23 due to the novel coronavirus pandemic.
However, special repatriation flights have been operated by Air India and Air India Express since May 6 under the Vande Bharat Mission to help stranded people reach their destinations.
Private carriers have also operated a certain number of flights under this mission.
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| Kerala Plane Crash: AI Express Says 3 Relief Flights Arranged To Assist Passengers | Kerala Plane Crash: AI Express Says 3 Relief Flights Arranged To Assist Passengers August 08, 2020 fully loaded magazine Magazine Current Issue Cover Story Opinion Interviews India World Sports Business Entertainment Books Poliglot Previous Issues Subscription India Cricket Opinion Videos Photos World Entertainment Business Archives Subscription hindi business money traveller responsible tourism Poshan CSR Agriculture Speakout Automobiles Saluting bravest Home Website National Kerala Plane Crash: AI Express Says 3 Relief Flights Arranged To Assist Passengers Kerala Plane Crash: AI Express Says 3 Relief Flights Arranged To Assist Passengers The Air India Express flight Dubai 190 board overshot tabletop runway Kozhikode airport Friday night landing heavy rains fell valley 35 feet broke two, killing 17 people. PTI 08 August 2020 Facebook Twitter Google Linkedin Whatsapp Follow Outlook India On News Rescue operation underway Air India Express flight passengers board en route Dubai skidded runway landing, Karippur Kozhikode. PTI Photo PTI August 08, 2020 00:00 IST Kerala Plane Crash: AI Express Says 3 Relief Flights Arranged To Assist Passengers 20200808T09:29:1705:30 Air India Express said Saturday relief flights arranged Kozhikode Kerala assist passengers family members affected plane crash day ago. It stated Air India Chairman Managing Director Rajiv Bansal, Air India Express Chief Executive Officer K Shyam Sundar reached Kozhikode. The Air India Express flight Dubai 190 board overshot tabletop runway Kozhikode airport Friday night landing heavy rains fell valley 35 feet broke two, killing 17 people. Two special relief flights arranged Delhi Mumbai rendering humanitarian assistance passengers family members, airline, whollyowned subsidiary Air India, said. The Emergency Response Director coordinating agencies Calicut Kozhikode, Mumbai Delhi, Dubai effective emergency response, said statement. The AAIB Aircraft Accident Investigation Bureau, DGCA Directorate General Civil Aviation Flight Safety Departments reached investigating accident, added. Officials said Civil Aviation Minister Hardeep Singh Puri Kozhikode Saturday. The airline said chief operations chief flight safety reached Kozhikode. Seventeen people, including pilots, died incident, said.The cabin crew members confirmed safe. The aircraft Boeing 737. We aware media reports Kozhikode International Airport Karipur Airport Calicut, India, aircraft manufacturer Boeing said statement. We gathering information, closely monitoring situation. We reached customer offer assistance, said. Scheduled international passenger flights continue remain suspended India March 23 novel coronavirus pandemic. However, special repatriation flights operated Air India Air India Express May 6 Vande Bharat Mission help stranded people reach destinations. Private carriers operated certain number flights mission. Outlooks Newsletter Next Story >> Both Pilots Among 18 Killed In Air India Express Plane Crash At Kozhikode Airport Facebook Twitter Google Linkedin Whatsapp Read More in: PTI Kerala AeroplanesFlights National More India Both Pilots Among 18 Killed In Air India Express Plane Crash At Kozhikode Airport Kerala Plane Tragedy: PM Modi, President Kovind, VP Express Sadness, Condole Loss Of Lives Captain Sathe Who Died In Air India Express Plane Crash In Kerala Was Former IAF Pilot From MH370 Tragedy To Kerala Plane Crash: A Look At The Major Air Accidents Of This Decade More From Outlook Magazine Angels Demons Why God Ram Is Headlining Current National Discourse From Prime Time To WhatsApp You Cannot Connect Ramayan With Shakespeare Or Harry Potter: Devdutt Pattanaik Turn To Chapter Three Our Education Must Be Culturally Rooted And Suit 21st Century Needs: Ramesh Pokhriyal More Website Both Pilots Among 18 Killed In Air India Express Plane Crash At Kozhikode Airport Captain Sathe Who Died In Air India Express Plane Crash In Kerala Was Former IAF Pilot India Needs To Cultivate Ties With Rajapaksa Brothers To Puncture Chinese Influence In Sri Lanka From MH370 Tragedy To Kerala Plane Crash: A Look At The Major Air Mishaps Of This Decade More Blog Rafale Acquisition Gives Muchneeded Boost To Indias DefenceIndustrial Agenda Sameer Patil Hinduism Survived Years Of Raids Through Its lusiveness, Not Violence And Bloodshed P.P. Bala Chandran The Success Of NEP Depends On Research Excellence By Faculty Saikat Majumdar The Latest Issue Most Viewed Most Commented How Much Would You Pay For A Kidney? Shailesh Chitnis Indias Coronavirus Count Crosses 2 Millionmark; Death Toll Surges Past 41,000 Outlook Web Bureau After Beirut Explosion, 700 Tonnes Chemical Stored In Chennai Sparks Fear; Its Safe, Says Customs PTI CBI Files FIR In Sushant Singh Death Case, Names Rhea Chakraborty As Accused PTI Advertisement Latest Photos News Blogs 14 Dead, Dozens Trapped In Landslide In Kerala After Heavy Rains Kerala Plane Tragedy: PM Modi, Prez, VP Condole Loss Of Lives Coronavirus Shocker: Hockey Captain Manpreet, 4 Others Test Positive Sushant Singh Case: Centre Seeks To Be Part Of Rhea Chakrabortys Plea BJP, Congress Accuse Each Other Of Having Links With China NEP 2020 Debate Education System Will Now Shift From Rote Learning To Skill Acquisition Wont Go For Mosque Inauguration, Says Yogi; SP Asks For Apology Juventus Crash Out Of Champions League Both Pilots Among 18 Killed In Air India Express Plane Crash At Kozhikode Airport Captain Sathe Who Died In Air India Express Plane Crash In Kerala Was Former IAF Pilot India Needs To Cultivate Ties With Rajapaksa Brothers To Puncture Chinese Influence In Sri Lanka From MH370 Tragedy To Kerala Plane Crash: A Look At The Major Air Mishaps Of This Decade India Retains T20 WC 2021 Edition, Australia Agrees To Host In 2022 Open Letter: Belligerent Patriotism Is One Thing And Guarding The Borders Another Naseem Shah, Shaheen Afridi Have Talent To Be Pakistan Crickets New Waqar YounisWasim Akram BCCIs Strong Chinese Links Openly Defies Indias Atmanirbharata A Worn Out Naya Kashmir Sees Itself Disguised In New Promises What Is The Big Deal If Rhea Chakraborty Spent Sushant Singh Rajputs Money? Madras HC Sparks Debate On Regulation Of Online Gaming In India Outlook Videos Air India Express Plane Skids Off Runway At Kozhikode Airport Teachers Glasses Presents Bollywood TALKies Outlook Episode 13: Rahul Bose Heavy Rains, Strong Winds Batter Mumbai; People Asked To Stay Indoors Beirut Blasts Video That Will Bring Tears To Your Eyes Advertisement Advertisement Magazine CURRENT ISSUE COVER STORY NATIONAL INTERNATIONAL BUSINESS BOOK REVIEWS DOCUMENTS ESSAYS EXTRACTS INTERVIEWS OPINIONS PORTRAITS PROFILES Traveller TRAVELOGUES WEEKEND BREAKS HOLIDAYS WITH OT PHOTO FEATURES HOTELS GUIDEBOOKS Money Mutual Funds Insurance Equity Fixed Assets Banking ASK Business THE BIG STORY SPECIALS PERSPECTIVE PIXSTORY ENTERPRISE STRATEGY MARKETS CEST LA VIE Social Media Facebook Twitter Instagram Youtube RSS contact subscribe advertising rates copyright disclaimer osm awards compliance newsscroll poshan Outlook topics A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 0 1 2 3 4 5 6 7 8 9 type initial letters | 2,020 | [
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] | 1 | NEGATIVE | 26 |
http://www.digitaltoys.consumerelectronicsnet.com/libre-wireless-technologies-single-chip-mavid-iot-voice-device-now-amazon-aws-iot-core-certified-leads-industry-in-voice-feature-integration-size-and-power-for-broader-ai-and-amazon-iot-cor/ | 2020-04-27T00:00:00 | en | Libre Wireless Technologies Single Chip MAVID IoT/Voice Device Now Amazon AWS IoT Core Certified – Leads Industry in Voice Feature Integration, Size and Power for Broader AI and Amazon IoT Core SDK Applications | | Consumer Electronics Net |
Libre Wireless Technologies Single Chip MAVID IoT/Voice Device Now Amazon AWS IoT Core Certified – Leads Industry in Voice Feature Integration, Size and Power for Broader AI and Amazon IoT Core SDK Applications | | Consumer Electronics Net
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Libre Wireless Technologies Single Chip MAVID IoT/Voice Device Now Amazon AWS IoT Core Certified – Leads Industry in Voice Feature Integration, Size and Power for Broader AI and Amazon IoT Core SDK Applications
3 hours ago
PALO ALTO, Calif.–(BUSINESS WIRE)–#AWSIoT—Libre Wireless Technologies, Inc. a leading embedded Wireless Voice/AI solutions provider, today announced their industry leading “MAVID” low power mic-to-cloud edge computing solution is expanding their unique RTOS platform to include new SDK releases enabling broader IoT and AI centric applications. This flexible IoT SDK now features Amazon AWS IoT Core certification and leverages the responsive Free RTOS OS combined in a scalable feature rich platform. The new offering delivers flexible development environments and unique connectivity feature libraries for brand and ODM customers developing on this Industry leading MAVID device platform. MAVID is now even better suited to address broader IoT applications that can leverage this highly integrated low power device that goes well beyond the initial release of the MAVID platform which featured a complete Alexa Built-In voice assistant and media streaming feature set.
The MAVID device, a single chip mic-to-cloud solution measuring only 13.5mm square and the miniature size and long battery life means developers can take great IoT, audio and even Alexa capabilities into all new applications. Working closely with Amazon, Libre has delivered a certified Amazon AWS IoT Core SDK that offers full cloud connectivity features and can utilize Libre’s own AWS cloud or connect to a customers own cloud system. The SDK offers development environments in both IAR and GCC. The AWS IoT Device SDK enables your devices to connect, authenticate, and exchange messages with AWS IoT Core using the MQTT, HTTP, or WebSockets protocols. The AWS IoT Device SDK supports C, JavaScript, and Arduino, and includes the client libraries, the developer guide, and the porting guide for manufacturers.
Get more details directly from the Amazon AWS Partner Device Catalog web page links below, for both the MAVID Device as well as the related EVK noted as the “GBS Minitower” development platform.
https://devices.amazonaws.com for MAVID
https://devices.amazonaws.com/ for MAVID GBS-Minitower EVK
“Expanding Libre’s unique MAVID platform into broader IoT and AI applications is a strategic activity and a top priority at Libre,” says Jordan Watters, Chief Executive Officer of Libre Wireless Technologies. “We are investing heavily in new tools, SDK’s and a roadmap of devices to enable the most unique and compelling IoT and AI solutions in the industry, and we are very proud to begin this roll out with Amazon and our new AWS IoT Core SDK platform certification.”
About Libre Wireless Technologies, Inc.
Libre Wireless Technologies is a leading provider of WiFi and Wireless technologies for IoT, media streaming, voice interface and AI applications. Libre delivers comprehensive embedded hardware and software SDK solutions that are scalable across ecosystems, features, power and price. Libre offers a range of approved and certified electronic modules and devices along with extensive software that can manage virtually all aspects of system, voice, connectivity and cloud features. Libre offers the world’s smallest, lowest power complete mic-to-cloud voice/AI solutions in single devices enabling all new portable, wearable, CE and industrial applications. The Libre solutions provide ODM’s, CE Brands and commercial product designers the most complete, flexible and ecosystem leading technology available for fastest time to market and superior product differentiation.
Contacts
Jordan Watters – Chief Executive Officer, Founder
Phone: +1-512-757-9490
www.librewireless.com
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| Libre Wireless Technologies Single Chip MAVID IoT/Voice Device Now Amazon AWS IoT Core Certified | Libre Wireless Technologies Single Chip MAVID IoTVoice Device Now Amazon AWS IoT Core Certified Leads Industry Voice Feature Integration, Size Power Broader AI Amazon IoT Core SDK Applications Consumer Electronics Net Skip content Consumer Electronics Net Primary Menu Consumer Electronics Net for: HomeNewsLibre Wireless Technologies Single Chip MAVID IoTVoice Device Now Amazon AWS IoT Core Certified Leads Industry Voice Feature Integration, Size Power Broader AI Amazon IoT Core SDK Applications News Libre Wireless Technologies Single Chip MAVID IoTVoice Device Now Amazon AWS IoT Core Certified Leads Industry Voice Feature Integration, Size Power Broader AI Amazon IoT Core SDK Applications 3 hours ago PALO ALTO, Calif.BUSINESS WIREAWSIoTLibre Wireless Technologies, . leading embedded Wireless VoiceAI solutions provider, today announced industry leading MAVID low power mictocloud edge computing solution expanding unique RTOS platform include new SDK releases enabling broader IoT AI centric applications. This flexible IoT SDK features Amazon AWS IoT Core certification leverages responsive Free RTOS OS combined scalable feature rich platform. The new offering delivers flexible development environments unique connectivity feature libraries brand ODM customers developing Industry leading MAVID device platform. MAVID better suited address broader IoT applications leverage highly integrated low power device goes initial release MAVID platform featured complete Alexa BuiltIn voice assistant media streaming feature set. The MAVID device, single chip mictocloud solution measuring 13.5mm square miniature size long battery life means developers great IoT, audio Alexa capabilities new applications. Working closely Amazon, Libre delivered certified Amazon AWS IoT Core SDK offers cloud connectivity features utilize Libres AWS cloud connect customers cloud system. The SDK offers development environments IAR GCC. The AWS IoT Device SDK enables devices connect, authenticate, exchange messages AWS IoT Core MQTT, HTTP, WebSockets protocols. The AWS IoT Device SDK supports C, JavaScript, Arduino, includes client libraries, developer guide, porting guide manufacturers. Get details directly Amazon AWS Partner Device Catalog web links below, MAVID Device related EVK noted GBS Minitower development platform. MAVID MAVID GBSMinitower EVK Expanding Libres unique MAVID platform broader IoT AI applications strategic activity priority Libre, says Jordan Watters, Chief Executive Officer Libre Wireless Technologies. We investing heavily new tools, SDKs roadmap devices enable unique compelling IoT AI solutions industry, proud begin roll Amazon new AWS IoT Core SDK platform certification. About Libre Wireless Technologies, . Libre Wireless Technologies leading provider WiFi Wireless technologies IoT, media streaming, voice interface AI applications. Libre delivers comprehensive embedded hardware software SDK solutions scalable ecosystems, features, power price. Libre offers range approved certified electronic modules devices extensive software manage virtually aspects system, voice, connectivity cloud features. Libre offers worlds smallest, lowest power complete mictocloud voiceAI solutions single devices enabling new portable, wearable, CE industrial applications. The Libre solutions provide ODMs, CE Brands commercial product designers complete, flexible ecosystem leading technology available fastest time market superior product differentiation. Jordan Watters Chief Executive Officer, Founder Phone: 15127579490 Continue Reading Previous SecurityTrax Unveils Customizable CRM PlatformNext SmartLabs Launches Global Accelerator Taiwan, Fostering International Biomedical Innovation for: CategoriesCategories Select Category 360 5G Accessories Apps Art Article articles Audio Autism Auto Automotive Autonomous Driving Autonomous Vehicles BluRay Book Broadband Business Camera Car Tech CES CES Asia Charging Children Consumer Electronics Contracts Counterfeit Goods Cybersecurity DashCam Data Recovery DVD Earbuds eCommerce Education Electric Vehicles Energy Family Feature Finance Gadgets Gaming HDTV Health Home Tech Investment IoT iPhone IQS Lead Story Learning Mac Manufacturing Marketing NBN News Phishing Privacy Productivity Raid Retail Review Robotics Security Smart Devices Smart Homes Social Media SSD Storage Streaming Tablet Technology Uniform USB Video Games Video Surveillance VRAR Wearables Web Design Wireless Charger Video NewsEWin Cyber Monday Use code CEN 15 Ewin gaming chairs Partner SitesIT Business Net Digital Producer Magazine Digital Media Net Media Hub Consumer Electronics Net Broadcast Newsroom Health Technology Net ByteSteam Crypto Blockchain Free Digital Stock Photos You missed Consumer Electronics Kingston Releases NextGen KC2500 NVMe PCIe SSD 7 mins ago News ADDING MULTIMEDIA NTT Tanium Announce Intent Strategic Partnership Deploy Security Solutions Smart World 7 mins ago News Transcontinental Realty Investors . 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] | 1 | POSITIVE | 27 |
https://marketresearchsheets.com/2020/04/23/global-ai-medicine-software-market-top-key-players-are-enlitic-recursion-pharmaceuticals-babylon-health-atomwise-sophia-genetics-deepmind-freenome-tempus-labs-flatiron-health-synyi-si/ | 2020-04-23T00:00:00 | en | Global AI Medicine Software Market, Top key players are Enlitic, Recursion Pharmaceuticals, Babylon Health, Atomwise, Sophia Genetics, DeepMind, Freenome, Tempus Labs, Flatiron Health, Synyi, Sight Diagnostics, GNS Healthcare, Clarify Health Solutions, Olive, and Ada Health – Market Research Sheets |
Global AI Medicine Software Market, Top key players are Enlitic, Recursion Pharmaceuticals, Babylon Health, Atomwise, Sophia Genetics, DeepMind, Freenome, Tempus Labs, Flatiron Health, Synyi, Sight Diagnostics, GNS Healthcare, Clarify Health Solutions, Olive, and Ada Health – Market Research Sheets
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Global AI Medicine Software Market, Top key players are Enlitic, Recursion Pharmaceuticals, Babylon Health, Atomwise, Sophia Genetics, DeepMind, Freenome, Tempus Labs, Flatiron Health, Synyi, Sight Diagnostics, GNS Healthcare, Clarify Health Solutions, Olive, and Ada Health April 23, 20204 Min Read
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Global AI Medicine Software Market Research Report 2019-2025
The Global AI Medicine Software Market 2019 Research Report is a professional and in-depth study on the current state of the AI Medicine Software Market industry.
Global AI Medicine Software Market Report 2019 is a professional and in-depth research report on the world’s major regional market conditions of the AI Medicine Software industry, focusing on the main regions (North America, Europe and Asia) and the main countries (United States, Germany, Japan and China).
The report provides a basic overview of the industry including definitions and classifications. The AI Medicine Software Market analysis is provided for the international markets including development trends, competitive landscape analysis, and key regions development status.
Development policies and plans are discussed as well as manufacturing processes and cost structures are also analyzed. This report also states import/export consumption, supply and demand Figures, cost, price, revenue and gross margins. The report focuses on global major leading industry players providing information such as company profiles, product specification, price, cost, revenue and contact information.
Get sample copy of this [email protected] http://bit.ly/38X3PyK
Some of the key players operating in this market include: Enlitic, Recursion Pharmaceuticals, Babylon Health, Atomwise, Sophia Genetics, DeepMind, Freenome, Tempus Labs, Flatiron Health, Synyi, Sight Diagnostics, GNS Healthcare, Clarify Health Solutions, Olive, and Ada Health
The report firstly introduced the AI Medicine Software market basics: definitions, classifications, applications and industry chain overview; industry policies and plans; product specifications; manufacturing processes; cost structures and so on. Then it analyzed the world’s main region market conditions, including the product price, profit, capacity, production, capacity utilization, supply, demand and industry growth rate etc. In the end, the report introduced new project SWOT analysis, investment feasibility analysis, and investment return analysis.
The report includes six parts, dealing with:
1) Basic information
2) The Asia AI Medicine Software market.
3) The North American AI Medicine Software industry.
4) The European AI Medicine Software industry.
5) Market entry and investment feasibility.
6) The report conclusion.
Reasons for Buying this Report
This report provides pin-point analysis for changing competitive dynamics
It provides a forward looking perspective on different factors driving or restraining market growth
It provides a six-year forecast assessed on the basis of how the market is predicted to grow
It helps in understanding the key product segments and their future
It provides pin point analysis of changing competition dynamics and keeps you ahead of competitors
It helps in making informed business decisions by having complete insights of market and by making in-depth analysis of market segments
TABLE OF CONTENT:
1 Industry Overview of AI Medicine Software Market
2 Manufacturing Cost Structure Analysis of AI Medicine Software Market
3 Technical Data and Manufacturing Plants Analysis of AI Medicine Software Market
4 Global AI Medicine Software Market Overview
5 AI Medicine Software Market Regional Market Analysis
6 Global (2015-2019) AI Medicine Software Market Segment Market Analysis (by Type)
7 Global (2015-2019) AI Medicine Software Market Segment Market Analysis (by Application)
8 Major Manufacturers Analysis of AI Medicine Software Market
9 Development Trend of Analysis of AI Medicine Software Market
10 AI Medicine Software Marketing Type Analysis
11 Consumers Analysis of AI Medicine Software Market
12 Conclusion of the Global AI Medicine Software Market Professional Survey Report 2019
Get Complete Brochure @ http://bit.ly/38X3PyK
About Us:
Market research is the new buzzword in the market, which helps in understanding the market potential of any product in the market. Reports And Markets is not just another company in this domain but is a part of a veteran group called Algoro Research Consultants Pvt. Ltd. It offers premium progressive statistical surveying, market research reports, analysis & forecast data for a wide range of sectors both for the government and private agencies all across the world.
Contact Us:
Sanjay Jain
Manager – Partner Relations & International Marketing
www.reportsandmarkets.com
[email protected]
Ph: +1-352-353-0818 (US)
This post was originally published on Market Research Sheets
TagsAI Medicine Software Market AI Medicine Software Market Analysis AI Medicine Software Market Industry Analysis AI Medicine Software Market Insights AI Medicine Software Market Opportunities AI Medicine Software Market Outlook AI Medicine Software Market Research Companies AI Medicine Software Market Research Company AI Medicine Software Market Segmentation AI Medicine Software Market Status AI Medicine Software Market Trend
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| Global AI Medicine Software Market, Top key players are Enlitic, Recursion Pharmaceuticals, Babylon Health, Atomwise, Sophia Genetics, DeepMind, Freenome, Tempus Labs, Flatiron Health, Synyi, Sight Diagnostics, GNS Healthcare, Clarify Health Solutions, Olive, and Ada Health | Global AI Medicine Software Market, Top key players Enlitic, Recursion Pharmaceuticals, Babylon Health, Atomwise, Sophia Genetics, DeepMind, Freenome, Tempus Labs, Flatiron Health, Synyi, Sight Diagnostics, GNS Healthcare, Clarify Health Solutions, Olive, Ada Health Market Research Sheets About Team Feedback Terms Use Market Research Sheets NewsSatelliteNASARocketsSPACE Radar System Transmitter Market To Witness Robust Expansion Throughout The Forecast Period 2019 2025 Abrasive Blasting Media Industry Is Expecting Revolutionary Growth 2019 Coming Years Radar System Antenna Market To Witness Robust Expansion Throughout The Forecast Period 2019 2025 Global Cloud Forensic Market 2019 Insights, Share, Growth Future Trends Global Data Center Virtualization Market Key Players, Industry Demand, Overview And Supply Chain Analysis, Forecast To 2026 LHD Load, Haul Dump Loaders Market Industry Perspective, Comprehensive Analysis, Size, Share, Growth, Segment, Trends And Forecast, 2025 Market Research Sheets NewsSatelliteNASARocketsSPACE Market Research Sheets News Satellite NASA Rockets SPACE Application Gadgets News Technology Global AI Medicine Software Market, Top key players Enlitic, Recursion Pharmaceuticals, Babylon Health, Atomwise, Sophia Genetics, DeepMind, Freenome, Tempus Labs, Flatiron Health, Synyi, Sight Diagnostics, GNS Healthcare, Clarify Health Solutions, Olive, Ada Health April 23, 20204 Min Read [emailprotected] Share This Facebook Twitter Google Plus Pinterest LinkedIn Global AI Medicine Software Market Research Report 20192025 The Global AI Medicine Software Market 2019 Research Report professional indepth study current state AI Medicine Software Market industry. Global AI Medicine Software Market Report 2019 professional indepth research report worlds major regional market conditions AI Medicine Software industry, focusing main regions North America, Europe Asia main countries United States, Germany, Japan China. The report provides basic overview industry including definitions classifications. The AI Medicine Software Market analysis provided international markets including development trends, competitive landscape analysis, key regions development status. Development policies plans discussed manufacturing processes cost structures analyzed. This report states importexport consumption, supply demand Figures, cost, price, revenue gross margins. The report focuses global major leading industry players providing information company profiles, product specification, price, cost, revenue contact information. Get sample copy this[emailprotected] Some key players operating market include: Enlitic, Recursion Pharmaceuticals, Babylon Health, Atomwise, Sophia Genetics, DeepMind, Freenome, Tempus Labs, Flatiron Health, Synyi, Sight Diagnostics, GNS Healthcare, Clarify Health Solutions, Olive, Ada Health The report firstly introduced AI Medicine Software market basics: definitions, classifications, applications industry chain overview; industry policies plans; product specifications; manufacturing processes; cost structures on. Then analyzed worlds main region market conditions, including product price, profit, capacity, production, capacity utilization, supply, demand industry growth rate etc. In end, report introduced new project SWOT analysis, investment feasibility analysis, investment return analysis. The report includes parts, dealing with: 1 Basic information 2 The Asia AI Medicine Software market. 3 The North American AI Medicine Software industry. 4 The European AI Medicine Software industry. 5 Market entry investment feasibility. 6 The report conclusion. Reasons Buying Report This report provides pinpoint analysis changing competitive dynamics It provides forward looking perspective different factors driving restraining market growth It provides sixyear forecast assessed basis market predicted grow It helps understanding key product segments future It provides pin point analysis changing competition dynamics keeps ahead competitors It helps making informed business decisions complete insights market making indepth analysis market segments TABLE OF CONTENT: 1 Industry Overview AI Medicine Software Market 2 Manufacturing Cost Structure Analysis AI Medicine Software Market 3 Technical Data Manufacturing Plants Analysis AI Medicine Software Market 4 Global AI Medicine Software Market Overview 5 AI Medicine Software Market Regional Market Analysis 6 Global 20152019 AI Medicine Software Market Segment Market Analysis Type 7 Global 20152019 AI Medicine Software Market Segment Market Analysis Application 8 Major Manufacturers Analysis AI Medicine Software Market 9 Development Trend Analysis AI Medicine Software Market 10 AI Medicine Software Marketing Type Analysis 11 Consumers Analysis AI Medicine Software Market 12 Conclusion Global AI Medicine Software Market Professional Survey Report 2019 Get Complete Brochure @ : Market research new buzzword market, helps understanding market potential product market. Reports And Markets company domain veteran group called Algoro Research Consultants Pvt. Ltd. It offers premium progressive statistical surveying, market research reports, analysis forecast data wide range sectors government private agencies world. Us: Sanjay Jain Manager Partner Relations International Marketing [emailprotected] Ph: 13523530818 US This post originally published Market Research Sheets TagsAI Medicine Software Market AI Medicine Software Market Analysis AI Medicine Software Market Industry Analysis AI Medicine Software Market Insights AI Medicine Software Market Opportunities AI Medicine Software Market Outlook AI Medicine Software Market Research Companies AI Medicine Software Market Research Company AI Medicine Software Market Segmentation AI Medicine Software Market Status AI Medicine Software Market Trend You like News Radar System Transmitter Market To Witness Robust Expansion Throughout The Forecast Period 2019 2025 April 23, 2020 News Technology Abrasive Blasting Media Industry Is Expecting Revolutionary Growth 2019 Coming Years April 23, 2020 News Radar System Antenna Market To Witness Robust Expansion Throughout The Forecast Period 2019 2025 April 23, 2020 About authorView All Posts [emailprotected] Web Based CMMS Software Market: 2019 Global Industry Size, Share, Trends, Growth Insights, Top Manufacturers Demand Forecast To 2025 Booming demand Touch commerce Market, Forecast 2025 Aries Chemical, GE Water Process Technologies Share This Facebook Twitter Google Plus Pinterest LinkedIn Related News Radar System Transmitter Market To Witness Robust Expansion Throughout The Forecast Period 2019 2025 April 23, 2020 News Technology Abrasive Blasting Media Industry Is Expecting Revolutionary Growth 2019 Coming Years April 23, 2020 News Radar System Antenna Market To Witness Robust Expansion Throughout The Forecast Period 2019 2025 April 23, 2020 News Global Cloud Forensic Market 2019 Insights, Share, Growth Future Trends April 23, 2020 News Global Data Center Virtualization Market Key Players, Industry Demand, Overview And Supply Chain Analysis, Forecast To 2026 April 23, 2020 Market Research Sheets . 739 Bryant St, San Francisco, CA 94107, USA Recent Posts Radar System Transmitter Market To Witness Robust Expansion Throughout The Forecast Period 2019 2025 Abrasive Blasting Media Industry Is Expecting Revolutionary Growth 2019 Coming Years About Team Feedback Terms Use 2019. 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https://gotechdaily.com/experts-from-mercedes-and-more-discuss-their-fears-and-dreams-about-the-intersection-of-ai-and-neuroscience/ | 2020-02-01T00:00:00 | en | Experts from Mercedes and more discuss their fears and dreams about the intersection of AI and neuroscience - Go Tech Daily |
Experts from Mercedes and more discuss their fears and dreams about the intersection of AI and neuroscience - Go Tech Daily
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Home LATEST NEWS Experts from Mercedes and more discuss their fears and dreams about the...
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Experts from Mercedes and more discuss their fears and dreams about the intersection of AI and neuroscience
By David Keith - January 31, 2020 0 7
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If 2018 was the year that artificial intelligence exploded, and 2019 the year that AI became accessible to everyone, 2020 would be the year we pay more attention to how we use it.
And at the forefront of this project is the debate about the intersection of AI, neuroscience, and human behavior.
Towards the end of last year, I was invited to attend an event together with the AI World Summit organized by Mercedes EQ, where we discussed the implications of these issues and what our path will be in 2020.
Of course, while much of the roundtable discussion focused on these issues as a whole, some of the discussions revolved around the automotive industry and what the potential for neuroscience mobility assimilation is.
But before we get into that, our discussions focused on data privacy and security.
AI and machine learning require large sets of data to learn from and as we collect more information from behavioral data, including measuring emotions from video, sound and even brainwave activity, there are inherent risks and concerns about the storage and use of personal information.
“There are macros in the US and Europe affected by privacy concerns involving democratic elections,” NASA Datanaut and CLC Advisors CEO Cindy Chin told me. “Psychological interventions – or psyops as they are called in a military context – where computer algorithms can be used to predict behavioral patterns and track results through a targeted campaign are dangerous. People have already seen such incidents in the UK and US elections. “
“It has already been shown that by watching a player in a Virtual Reality (VR) environment, one can not only accurately measure what elements or ads the user really thinks, but the ad can therefore perform much better than advertising placed in a VR environment without this information, “OpenOcean General Partner Tom Henriksson told me.
And eye tracking is just the beginning. They are almost betting on VR and AR games in 2020.
“Imagine a future where the machine knows what the user really sees and can measure from the user’s pulse or even his brain hull how the person feels and reacts to the advertisement,” Henriksson said. “It definitely brings us one step closer to advertising that is so dynamic, personalized and well-targeted that it will feel more like a valuable service than advertising. At the same time, the power of this technology, at least for the pulse tracking and At the same time, it also demands incredibly high standards for user control and data protection. “
One thing is certain. The more we talk about behavioral data, the more often the discussion of regulation is updated.
“Companies and individuals are paying large amounts of information to obtain this data, and there are few controls and balances or enforcement levels against negative use and breach of privacy,” Chin said. “If we have seen positive results in the use of the data sets collected in the healthcare industry. I wanted to see a broader international ethics or map framework where technology companies and governments demonstrate their commitment to the privacy of global citizens’ data. I would also like to see broader sets of inaccuracies in what is currently being created in AI and machine learning are worrying. “
This high level of data security is something that is at the forefront of Steven Peters – Managing Director of Artificial Intelligence in the mind of Mercedes-Benz AG.
“We are known for our commitment to safety when it comes to vehicle design and production, and that cannot be changed when it comes to behavioral data,” Peters said. “Daimler published AI principles in September 2019, which pave the way for an anthropocentric approach to AI in both products and processes. To start a discussion about the future of AI and the developments that shape tomorrow, like the Mercedes-Benz EQ brand, we created the EQ community. Collaboration and empathy for each other as well as focusing on customer needs is our way of thinking. “
“I think data literacy is a primary need for an increasingly data-driven society,” agrees Anne Schwerk, Ph.D., AI Health Intelligent Analytics Project Manager at DFKI GmbH. “Everyone must be able to understand data, usage and analytics sufficiently. Otherwise, our society will never be able to truly understand the consequences of AI and the digital world. Another very important aspect is the need for explanatory systems, allowing users to locate and control the machines behind the fancy GUI and personalized predictions. “
There are many possible uses for applying behavioral data to a mobility setting. Imagine, for example, that the vehicle is able to recognize that the driver is feeling angry or anxious, and then recommends the calm of the music and adjusts the air conditioning to improve the driver’s mood.
This future of AI and neuroscience is far from becoming a reality, so how can we use behavioral data in a sensitive and positive way to improve consumer products and services in the future?
“Anyone who consumes ‘free’ media would naturally want to live more relevant and valuable advertising,” Henriksson said. “The confidence of technology companies and service providers to use such supernatural information, where a machine can understand a person’s thoughts or desires before doing so, requires protection from iron elements and strong user control.”
And at a time when trust in the larger social networks and tech giants is at a low level, we need to be extremely clear about the data we collect, how it is used, its locations and the value we get in return.
“New solutions where, for example, people can decide and filter, are the impulses that allow systems to measure as well as the advertisers who have access to user data,” Henriksson said. “In addition, users’ trust in tech companies must be completely upgraded before this mainstream is made. Unlike Facebook today, we must be able to trust 100 percent of all companies handling our deep personal data to comply with the highest ethical standards, enforce the best possible data security and anonymize and protect customer data.
What should happen next in the use of neuroscience, behavioral data, intellectual property technology and machine learning and where we are headed in the near future, especially when it comes to using this highly personal information at something as high risk as mobility solutions?
“In the area of mobility, location data is a great example of the opportunities we have to go through,” Henriksson said. “Monitoring users’ sites is currently hotly debated within the niche industry and beyond, as there are no formal rules or ethical standards on how to use this sensitive data. Used correctly and respectfully, location is a very powerful signal that can enhance a user’s digital profile with information about what’s happening in the real world. “
There are many examples of how this type of data can be used for good, but we always come back to ensuring that companies use this information with respect.
“Forecasting is exciting and, if used correctly, with the right level of privacy and user security, can add a great deal of utility,” Plumen co-founder and creative director Nicolas Roope told me. “If one drives at speed, it is much more useful to recognize that he is going to sleep than to recognize what is happening. And of course, this happy driver who is notified – and lives as a result – does not want to be bombarded with energy ads later drink because the car company has shared their data. It’s also nice not to share this event with the insurance company. “
And how can this information be used outside the world of advertising or vehicle control and security, and what should happen next to make it possible?
“People still spend at least 70% of our day in the real world, so having more information about this part of our lives definitely gives us better services such as cycling, child watching and better planned cities, “Henriksson said. “Recently, the CEO of Foursquare data company suggested in a New York Times issue that technology companies should adhere to standards similar to Hippocrates’ oaths and that Congress should regulate the technology industry. to take such action to ensure that we can enjoy tomorrow’s great mobility solutions. “
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| Experts from Mercedes and more discuss their fears and dreams about the intersection of AI and neuroscience | Experts Mercedes discuss fears dreams intersection AI neuroscience Go Tech Daily Sign Home Gaming News LATEST NEWS ENTERTAINMENT Fashion Health Politics SPORTS Technology Sign WelcomeLog account username password Forgot password? Password recovery Recover password email Saturday, February 1, 2020 Sign JoinHome Us Dmca Policy Disclaimer Sign Welcome Log account username password Forgot password? Get help Password recovery Recover password email A password emailed you. Home Gaming News LATEST NEWS ENTERTAINMENT Fashion Health Politics SPORTS Technology Home LATEST NEWS Experts Mercedes discuss fears dreams the... LATEST NEWSTechnology Experts Mercedes discuss fears dreams intersection AI neuroscience By David Keith January 31, 2020 0 7 Facebook Twitter Pinterest WhatsApp If 2018 year artificial intelligence exploded, 2019 year AI accessible everyone, 2020 year pay attention use it. And forefront project debate intersection AI, neuroscience, human behavior. Towards end year, I invited attend event AI World Summit organized Mercedes EQ, discussed implications issues path 2020. Of course, roundtable discussion focused issues whole, discussions revolved automotive industry potential neuroscience mobility assimilation is. But that, discussions focused data privacy security. AI machine learning require large sets data learn collect information behavioral data, including measuring emotions video, sound brainwave activity, inherent risks concerns storage use personal information. There macros US Europe affected privacy concerns involving democratic elections, NASA Datanaut CLC Advisors CEO Cindy Chin told me. Psychological interventions psyops called military context algorithms predict behavioral patterns track results targeted campaign dangerous. People seen incidents UK US elections. It shown watching player Virtual Reality VR environment, accurately measure elements ads user thinks, ad perform better advertising placed VR environment information, OpenOcean General Partner Tom Henriksson told me. And eye tracking beginning. They betting VR AR games 2020. Imagine future machine knows user sees measure users pulse brain hull person feels reacts advertisement, Henriksson said. It definitely brings step closer advertising dynamic, personalized welltargeted feel like valuable service advertising. At time, power technology, pulse tracking At time, demands incredibly high standards user control data protection. One thing certain. The talk behavioral data, discussion regulation updated. Companies individuals paying large amounts information obtain data, controls balances enforcement levels negative use breach privacy, Chin said. If seen positive results use data sets collected healthcare industry. I wanted broader international ethics map framework technology companies governments demonstrate commitment privacy global citizens data. I like broader sets inaccuracies currently created AI machine learning worrying. This high level data security forefront Steven Peters Managing Director Artificial Intelligence mind MercedesBenz AG. We known commitment safety comes vehicle design production, changed comes behavioral data, Peters said. Daimler published AI principles September 2019, pave way anthropocentric approach AI products processes. To start discussion future AI developments shape tomorrow, like MercedesBenz EQ brand, created EQ community. Collaboration empathy focusing customer needs way thinking. I think data literacy primary need increasingly datadriven society, agrees Anne Schwerk, Ph.D., AI Health Intelligent Analytics Project Manager DFKI GmbH. Everyone able understand data, usage analytics sufficiently. Otherwise, society able truly understand consequences AI digital world. Another important aspect need explanatory systems, allowing users locate control machines fancy GUI personalized predictions. There possible uses applying behavioral data mobility setting. Imagine, example, vehicle able recognize driver feeling angry anxious, recommends calm music adjusts air conditioning improve drivers mood. This future AI neuroscience far reality, use behavioral data sensitive positive way improve consumer products services future? Anyone consumes free media naturally want live relevant valuable advertising, Henriksson said. The confidence technology companies service providers use supernatural information, machine understand persons thoughts desires so, requires protection iron elements strong user control. And time trust larger social networks tech giants low level, need extremely clear data collect, used, locations value return. New solutions where, example, people decide filter, impulses allow systems measure advertisers access user data, Henriksson said. In addition, users trust tech companies completely upgraded mainstream made. Unlike Facebook today, able trust 100 percent companies handling deep personal data comply highest ethical standards, enforce best possible data security anonymize protect customer data. What happen use neuroscience, behavioral data, intellectual property technology machine learning headed near future, especially comes highly personal information high risk mobility solutions? In area mobility, location data great example opportunities through, Henriksson said. Monitoring users sites currently hotly debated niche industry beyond, formal rules ethical standards use sensitive data. Used correctly respectfully, location powerful signal enhance users digital profile information whats happening real world. There examples type data good, come ensuring companies use information respect. Forecasting exciting and, correctly, right level privacy user security, add great deal utility, Plumen cofounder creative director Nicolas Roope told me. If drives speed, useful recognize going sleep recognize happening. And course, happy driver notified lives result want bombarded energy ads later drink car company shared data. Its nice share event insurance company. And information outside world advertising vehicle control security, happen possible? People spend 70 day real world, information lives definitely gives better services cycling, child watching better planned cities, Henriksson said. Recently, CEO Foursquare data company suggested New York Times issue technology companies adhere standards similar Hippocrates oaths Congress regulate technology industry. action ensure enjoy tomorrows great mobility solutions. TAGSdiscussDreamsExpertsfearsintersectionMercedesneuroscience Facebook Twitter Pinterest WhatsApp Previous articleWatch: HBO adapts Philip Roths Plot Against America new seriesNext articleMatt Riddle dealing heat Royal Rumble ident David Keith RELATED ARTICLESMORE FROM AUTHOR Jessica Simpson hard time watching Ellen interview Latin Academy dominates waters NBA announces plans Kobe Bryant tribute AllStar Weekend Fashion Jessica Simpson hard time watching Ellen interview Kay Koch February 1, 2020 0 Latin Academy dominates waters February 1, 2020 NBA announces plans Kobe Bryant tribute AllStar Weekend February 1, 2020 Boris Johnson: The Brexit champion delivered February 1, 2020 All modern humans Neanderthal DNA, new research February 1, 2020 | 2,020 | [
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https://www.producthunt.com/posts/ask-billie | 2020-03-03T00:00:00 | en | Ask Billie - AI powered brand name generator | Product Hunt | Ask Billie - AI powered brand name generator | Product HuntDealsJobsMakersRadioShipLog InSign upHome → Ask BillieAsk BillieAI powered brand name generatorBrandingYou're dying to launch your new product but there's just one last thing left- pick a name.Everything you come up is either terrible or taken.AskBillie generates new unique words and allows for team collaboration to keep ideas, discuss and vote on them. FREE.TweetShareEmbedFeatured an hour agoDiscussionWould you recommend this product?YesNoNo reviews yetYanay TsabaryMakerHi ya'll!! I've built Ask Billie after I found myself getting stuck in the stage picking part of every product I've built. It's tedious, it's frustrating and it takes way too long than we want to spend on it.
Branding companies are way to expensive for young startups to hire, so we're usually either wasting a lot of time, or end up with a bad choice only to pay for expensive rebranding later down the track.
Ask Billie generates unique letter combinations and helps you find new unique potential brand names that are not based on existing words or products.
Not another "bestFooders.com" "foodify.com" or "fooding.com". These are either terrible or long gone.
Ask Billie aimes to help you find the next "Kodak", "Xerox", "Sony" or "Ikea".
Brand names get value over time, we just need them to sound good.
Billie is also layered with ML, and over use should produce better and better suggestions.
BUT - startups are rarely a one man operation, so with AskBillie.co, you can invite team members to your project and you can all work on finding a name together. Comment on diffrerent ideas and vote on them to have the best rise to the top.
Keep it organized is what Billie is all about!
Will LOVE your feedback. Do you find it useful? Anything you think I can improve/change?UpvoteSharean hour agoYanay TsabaryMakerIf you ever launched a product before, how much accumelated time you've spent on searching for a nameOne dayLess than 3 daysLess than a weekA couple of weeks to a monthA few monthsUpvoteShare37 minutes agoSend UPVOTE6Websiteaskbillie.coHunterYanay Tsabary@yanay_tsabary11 MakerYanay Tsabary@yanay_tsabary1Related ProductsHotjarSee how your visitors are really using your site – for freePromotedDomainWheelSmart startup name generatorBusiness Name GeneratorGenerate your business name in just 3 secondsThe Mighty Niche Name GeneratorA new tool to find your audience.tronc Name GeneratorFind a name for your next Media company!JenkensonThe classy name generatorCrypto Project Name GeneratorGenerate hilarious crypto project namesBooklets.ioBite sized learning for creativesFiverr Logo MakerThe first logo maker that is powered by actual designersAsk Billie alternatives → | Ask Billie | Ask Billie AI powered brand generator Product HuntDealsJobsMakersRadioShipLog InSign upHomeAsk BillieAsk BillieAI powered brand generatorBrandingYoure dying launch new product theres thing left pick name.Everything come terrible taken.AskBillie generates new unique words allows team collaboration ideas, discuss vote them. FREE.TweetShareEmbedFeatured hour agoDiscussionWould recommend product?YesNoNo reviews yetYanay TsabaryMakerHi yall Ive built Ask Billie I getting stuck stage picking product Ive built. Its tedious, frustrating takes way long want spend it. Branding companies way expensive young startups hire, usually wasting lot time, end bad choice pay expensive rebranding later track. Ask Billie generates unique letter combinations helps new unique potential brand names based existing words products. Not . These terrible long gone. Ask Billie aimes help Kodak, Xerox, Sony Ikea. Brand names value time, need sound good. Billie layered ML, use produce better better suggestions. BUT startups rarely man operation, , invite team members project work finding together. Comment diffrerent ideas vote best rise top. Keep organized Billie Will LOVE feedback. Do useful? Anything think I improvechange?UpvoteSharean hour agoYanay TsabaryMakerIf launched product before, accumelated time youve spent searching nameOne dayLess 3 daysLess weekA couple weeks monthA monthsUpvoteShare37 minutes agoSendUPVOTE6Websiteaskbillie.coHunterYanay Tsabary MakerYanay Tsabary ProductsHotjarSee visitors site freePromotedDomainWheelSmart startup generatorBusiness Name GeneratorGenerate business 3 secondsThe Mighty Niche Name GeneratorA new tool audience.tronc Name GeneratorFind Media companyJenkensonThe classy generatorCrypto Project Name GeneratorGenerate hilarious crypto project namesBooklets.ioBite sized learning creativesFiverr Logo MakerThe logo maker powered actual designersAsk Billie alternatives | 2,020 | [
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https://www.oodaloop.com/briefs/2020/07/13/walter-reed-scientists-use-artificial-intelligence-to-screen-drugs-to-potentially-treat-covid-19/ | 2020-07-14T00:00:00 | en | OODA Loop - Walter Reed Scientists Use Artificial Intelligence to Screen Drugs to Potentially Treat COVID-19 | OODA Loop - Walter Reed Scientists Use Artificial Intelligence to Screen Drugs to Potentially Treat COVID-19 Understand tomorrow, today. HomeOODA AnalysisNews BriefsCyberTechnologyGlobal RiskBusinessJoin OODA LoopAbout OODA LoopAbout OODA LoopConsultingContactMember MenuOODA Network ResourcesSign inOODA Unlocked ProgramMembers’ GuideHomeOODA AnalysisNews BriefsCyberTechnologyGlobal RiskBusinessJoin OODA LoopAbout OODA LoopAbout OODA LoopConsultingContactMember MenuOODA Network ResourcesSign inOODA Unlocked ProgramMembers’ GuideNews BriefsTechnologyWalter Reed Scientists Use Artificial Intelligence to Screen Drugs to Potentially Treat COVID-19 OODA Analyst 2020-07-13 13 Jul 2020 OODA AnalystShareTweetPostRedditThe development of new medicine typically takes years to meet requirements and ensure that the drug is viable and ready for public use, however, scientists within the Walter Reed Army Institute of Research have been experimenting with high-tech tools to aid the global search for a COVID-19 treatment and vaccine. When the drug discovery process runs its normal course, it can take years to be able to administer it after ensuring that it passes through rounds of clinical trials, and is safe and effective.The Experimental Therapeutics Branch has a solid reputation as a drug discovery and development program, playing a role in the majority of the Food and Drug Administration approved malaria prevention drugs. When the pandemic emerged, the organization partnered with the Southwest Research Institute, which had developed technology that is AI and machine-learning-based. The tech seeks molecules that can successfully bind to a target of interest in the virus.Read More: Walter Reed Scientists Use Artificial Intelligence to Screen Drugs to Potentially Treat COVID-19 Tags:AICOVID-19Machine LearningTechnology OODA AnalystOODA is comprised of a unique team of international experts capable of providing advanced intelligence and analysis, strategy and planning support, risk and threat management, training, decision support, crisis response, and security services to global corporations and governments.You Might Also Like New study suggests virus immunity is shortlived July 13, 2020 Oxygen already runs low as COVID-19 surges in South Africa July 10, 2020OODA Analysis OODA Video: An AI Security Framework OODAcast: Mark Weatherford On Leading Change As a CISO The free OODA Daily Pulse Report provides a detailed summary of the top cybersecurity, technology, and global risk stories of the day. Subscribe today!OODA Briefs UK-China ties freeze with debate over Huawei, Hong Kong New study suggests virus immunity is shortlived 600,000 vote in Hong Kong opposition primary despite fears of new security law Facebook and Instagram ban all posts promoting conversion therapy Walter Reed Scientists Use Artificial Intelligence to Screen Drugs to Potentially Treat COVID-19 Russian Hacker Finally Found Guilty of 2012 LinkedIn Breach Most Popular Home Routers Have ‘Critical’ Flaws Oxygen already runs low as COVID-19 surges in South AfricaCopyright © - All Rights Reserved.About OODA LoopTerms of UseGeneral InquiryGet In The Loop – Join Today!Podcast SHAREWalter Reed Scientists Use Artificial Intelligence to Screen Drugs to Potentially Treat COVID-19 | OODA Loop | OODA Loop Walter Reed Scientists Use Artificial Intelligence Screen Drugs Potentially Treat COVID19 Understand tomorrow, today. HomeOODA AnalysisNews BriefsCyberTechnologyGlobal RiskBusinessJoin OODA LoopAbout OODA LoopAbout OODA LoopConsultingMember MenuOODA Network ResourcesSign inOODA Unlocked ProgramMembers GuideHomeOODA AnalysisNews BriefsCyberTechnologyGlobal RiskBusinessJoin OODA LoopAbout OODA LoopAbout OODA LoopConsultingMember MenuOODA Network ResourcesSign inOODA Unlocked ProgramMembers GuideNews BriefsTechnologyWalter Reed Scientists Use Artificial Intelligence Screen Drugs Potentially Treat COVID19 OODA Analyst 20200713 13 Jul 2020 OODA AnalystShareTweetPostRedditThe development new medicine typically takes years meet requirements ensure drug viable ready public use, however, scientists Walter Reed Army Institute Research experimenting hightech tools aid global search COVID19 treatment vaccine. When drug discovery process runs normal course, years able administer ensuring passes rounds clinical trials, safe effective.The Experimental Therapeutics Branch solid reputation drug discovery development program, playing role majority Food Drug Administration approved malaria prevention drugs. When pandemic emerged, organization partnered Southwest Research Institute, developed technology AI machinelearningbased. The tech seeks molecules successfully bind target virus.Read More: Walter Reed Scientists Use Artificial Intelligence Screen Drugs Potentially Treat COVID19 Tags:AICOVID19Machine LearningTechnology OODA AnalystOODA comprised unique team international experts capable providing advanced intelligence analysis, strategy planning support, risk threat management, training, decision support, crisis response, security services global corporations governments.You Might Also Like New study suggests virus immunity shortlived July 13, 2020 Oxygen runs low COVID19 surges South Africa July 10, 2020OODA Analysis OODA Video: An AI Security Framework OODAcast: Mark Weatherford On Leading Change As CISO The free OODA Daily Pulse Report provides detailed summary cybersecurity, technology, global risk stories day. todayOODA Briefs UKChina ties freeze debate Huawei, Hong Kong New study suggests virus immunity shortlived 600,000 vote Hong Kong opposition primary despite fears new security law Facebook Instagram ban posts promoting conversion therapy Walter Reed Scientists Use Artificial Intelligence Screen Drugs Potentially Treat COVID19 Russian Hacker Finally Found Guilty 2012 LinkedIn Breach Most Popular Home Routers Have Critical Flaws Oxygen runs low COVID19 surges South Africa .About OODA LoopTerms UseGeneral InquiryGet In The Loop Join TodayPodcast SHAREWalter Reed Scientists Use Artificial Intelligence Screen Drugs Potentially Treat COVID19 | 2,020 | [
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https://coleofduty.com/market-reports/2020/07/06/machine-learning-in-finance-market-predictable-to-witness-sustainable-evolution-over-2020-2030/ | 2020-07-06T00:00:00 | en | Machine Learning in Finance Market: Predictable To Witness Sustainable Evolution over 2020-2030 – Cole of Duty |
Machine Learning in Finance Market: Predictable To Witness Sustainable Evolution over 2020-2030 – Cole of Duty
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Machine Learning in Finance Market: Predictable To Witness Sustainable Evolution over 2020-2030
Post author
By bob
Post date
July 6, 2020
Prophecy Market Insights Machine Learning in Finance market research report provides a comprehensive, 360-degree analysis of the targeted market which helps stakeholders to identify the opportunities as well as challenges during COVID-19 pandemic across the globe.
Machine Learning in Finance Devices Market reports provide in-depth analysis of Top Players, Geography, End users, Applications, Competitor analysis, Revenue, Financial Analysis, Market Share, COVID-19 Analysis, Trends and Forecast 2020-2029. It incorporates market evolution study, involving the current scenario, growth rate, and capacity inflation prospects, based on Porter’s Five Forces and DROT analyses.
Get Sample Copy of This Report @ https://www.prophecymarketinsights.com/market_insight/Insight/request-sample/2166
An executive summary provides the market’s definition, application, overview, classifications, product specifications, manufacturing processes; raw materials, and cost structures.
Market Dynamics offers drivers, restraints, challenges, trends, and opportunities of the Machine Learning in Finance market
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| Machine Learning in Finance Market: Predictable To Witness Sustainable Evolution over 2020-2030 | Machine Learning Finance Market: Predictable To Witness Sustainable Evolution 20202030 Cole Duty Skip content Cole DutyCole Market Research Menu Our Staff Us for: Close search Close Menu Our Staff Us Categories Market Reports Machine Learning Finance Market: Predictable To Witness Sustainable Evolution 20202030 Post author By bob Post date July 6, 2020 Prophecy Market Insights Machine Learning Finance market research report provides comprehensive, 360degree analysis targeted market helps stakeholders identify opportunities challenges COVID19 pandemic globe. Machine Learning Finance Devices Market reports provide indepth analysis Top Players, Geography, End users, Applications, Competitor analysis, Revenue, Financial Analysis, Market Share, COVID19 Analysis, Trends Forecast 20202029. It incorporates market evolution study, involving current scenario, growth rate, capacity inflation prospects, based Porters Five Forces DROT analyses. Get Sample Copy This Report @ An executive summary provides markets definition, application, overview, classifications, product specifications, manufacturing processes; raw materials, cost structures. Market Dynamics offers drivers, restraints, challenges, trends, opportunities Machine Learning Finance market Detailed analysis COVID19 impact given report, analyst research associates working hard understand impact COVID19 disaster corporations, sectors help clients taking excellent business decisions. We acknowledge financial healthcare crisis. Segment Level Analysis terms types, product, geography, demography, etc. market size forecast Segmentation Overview: By Type Supervised Learning, Unsupervised Learning, Semi Supervised Learning, Reinforced Leaning, By Application Banks, Securities Company, Others, By Region North America, Europe, Asia Pacific, Latin America, Middle East Africa The Machine Learning Finance research study comprises 100 market data Tables, Graphs Figures, Pie Chat understand detailed analysis market. The predictions estimated market report resulted proven research techniques, methodologies, assumptions. This Machine Learning Finance market report states market overview, historical data size, growth, share, demand, revenue global industry. Base Year Estimated Year Forecast Year 2019 2020 20192029 Request Discount @ Regional Country level Analysis different geographical areas studied deeply economical scenario offered support new entrants, leading market players, investors regulate emerging economies. The producers consumers focus production, product capacity, value, consumption, growth opportunity, market share key regions, covering North America Europe AsiaPacific Middle East Africa Latin America The comprehensive list Key Market Players market overview, product protocol, key highlights, key financial issues, SWOT analysis, business strategies. The report dedicatedly offers helpful solutions players increase clients global scale expand favour significantly forecast period. The report serves strategic decisionmaking solutions clients. Competitive landscape Analysis provides mergers acquisitions, collaborations new product launches, heat map analysis, market presence specificity analysis. Machine Learning FinanceMarket Key Players: Ignite Ltd. Yodlee, . TrillFinancial, . MindTitan Accenture plc ZestFinance, . The study analyses manufacturing processing requirements, project funding, project cost, project economics, profit margins, predicted returns investment, etc. With tables figures, report provides key statistics state industry valuable source guidance direction companies individuals interested market. Stakeholders Benefit: Analysis emerging trends, key market dynamics. Comprehensive analysis products segmentation. Competitive analysis key strategies followed key players market. PEST Poster analysis, more. COVID19 Impact detailed analysis. About us: Prophecy Market Insights specialized market research, analytics, marketingbusiness strategy, solutions offers strategic tactical support clients making wellinformed business decisions identify achieve highvalue opportunities target business area. We help clients address business challenges provide best possible solutions overcome transform business. Us: Mr Alex Sales Manager Prophecy Market Insights Phone: 1 860 531 2701 Email: [emailprotected] Tags Machine Learning Finance Market, Global Machine Learning Finance Market, Machine Learning Finance Market Companies, Machine Learning Finance Market Share, Machine Learning Finance Market Size, Machine Learning Finance Market Size Trends, Prophecy Market Insights Global DevOps Certification Service Market Tremendous Growth, Key Facrs, p Companies, Major Drivers, Region Forecast 2026 Global Medical Coding Service Market 2020 Product Types, Application, Statistical Growth, Major Regions, Business Analysis, ForecastGlobal Medical Coding Service Market 2020 Application, Segment Analysis, Trends, Growth, Business Strategy Future Forecast 2026 for: Recent Posts Augmented Virtual Reality Healthcare Market Business Model, Industry Chain, Value Chain, Legal Policies Technological Developments Data Integration Software Market 2020 2024 Based COVID19 Impact Analysis, Top Players: Informatica, IBM, SAP SE, Oracle, Talend, Microsoft, Cisco Systems Global Home Healthcare Monitoring Device Market Size 20202026 Types, Top Players, Regions, GrowthTrends, Segmentation, Demand Industry Research Report Barium Chloride Market Growth 2025: including key players Solvay, Chaitanya Chemicals, Nippon Chemical Industrial Technological Insights Composable Infrastructure Market 20202030 Our Staff Us 2020 Cole Duty Powered WordPress To Up | 2,020 | [
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http://www.pentictonherald.ca/entertainment/national_entertainment/article_a9f3639d-19f3-557a-9877-50f409c9f979.html | 2020-10-14T00:00:00 | en | Doc examines what this Canadian-made AI system predicts for the U.S. election | National Entertainment | pentictonherald.ca |
Doc examines what this Canadian-made AI system predicts for the U.S. election | National Entertainment | pentictonherald.ca
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Doc examines what this Canadian-made AI system predicts for the U.S. election
Canadian-made AI system predicts U.S. election
Victoria Ahearn The Canadian Press
Oct 14, 2020
2 hrs ago
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An undated still frame is shown from the film "Margin of Error". A Canadian-made artificial intelligence system called Polly is looking to next month's U.S. presidential election, using public social-media data and algorithms to forecast population behaviour. Polly is profiled in the new documentary "Margin of Error," which premieres Saturday on Ontario's publicly funded network TVO, and across Canada on www.tvo.org and the station's YouTube channel. THE CANADIAN PRESS/HO-Open Door, *MANDATORY CREDIT*
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TORONTO - She's accurately predicted the Brexit vote, the 2016 American presidential outcome, and last year's federal election in Canada.Now, a Canadian-made artificial intelligence system called Polly is forecasting next month's U.S. presidential election, using public social-media data and algorithms.Polly is profiled in the new documentary "Margin of Error," which premieres Saturday on Ontario's publicly funded network TVO, and across Canada on tvo.org and the station's YouTube channel.
Toronto-based Peter Gombos wrote and directed the doc, which looks at the promise and concern of using forms of AI like Polly to help resolve issues of traditional polling methods in a digital age.The film profiles Polly's creator, Ottawa-based market research start-up Advanced Symbolics Inc. (ASI), which has her U.S. presidential predictions on its website, (https://advancedsymbolics.com/us-election/).The predictions currently update daily and have a high margin of error that will become smaller closer to the Nov. 3 election, but as of Wednesday afternoon, she had Democratic presidential nominee Joe Biden with 346 Electoral College votes vs. U.S. President Donald Trump at 192.Polly also had Biden with 55 per cent of the popular vote vs. Trump at 45 per cent."But of course the huge caveat in that, particularly in the U.S., is issues of voter turnout, vote suppression, early voting and discounted ballots," Gombos said in a phone interview."There are so many swing states in the U.S., and the percentages in the swing states are very close, within the margins, like 50-50 or 51-49, plus or minus three per cent. And so it's all about voter turnout."The brainchild of researchers at the University of Ottawa, Polly (short for "politics") is used by ASI to forecast consumer attitudes, and isn't contracted out to any other agencies. For election forecasting, she looks at macro behaviours and patterns in the numbers of social media users talking about a political party or a topic, rather than the sentiments that they're expressing.
"Margin of Error," produced by Tom Powers, followed the ASI team as it used Polly to forecast the 2019 Canadian federal election as a way to promote their research method. She predicted the Liberals at 155 seats and the Conservatives with 118, which was close to the actual result of 157 Liberal seats and 121 Conservative.ASI says Polly has also made accurate predictions on several other high-profile votes, whereas the nearly century-old format of traditional polling through phone calls and door knocks has missed the mark on some, including Brexit and the 2016 U.S."Once upon a time it was dead easy," Gombos said of traditional polling, which uses surveys with a small group of a population selected at random to represent the larger whole and predict the opinions of the entire populace."People were enthusiastic, they wouldn't slam their door or hang up their phone, and they'd provide answers. And for the most part, pollsters say it was a really straightforward prediction, and they were quite accurate. But the demographics of Canada, for example, have changed in the last 40 years, technologies have increasingly become mobile, and people have become irritated at answering questions."Where polls capture a slice in time from a representative sample of 1,000 people, for instance, AI can scour up-to-the-minute opinions and behaviours from hundreds of thousands of social media users over a longer period and come up with patterns that can't be observed through traditional polling, said Gombos.Polly primarily gets data from Twitter, and some critics wonder if she can accurately come up with a representative sample of the greater whole, when the majority of people using that platform skew younger, urban, and already politically motivated, said Gombos.But ASI counters that Polly tracks algorithms from all of Twitter to identify users who reflect the demographics of each riding, so she can still find a way to balance the representative sample, he added. Polly's algorithms also apparently make it difficult for bots to pass through."And if they do, those bots are part of a larger conversation," said Gombos, whose other credits include the series "Yukon Gold" and "Cold Water Cowboys.""So the conversation has to rise to a certain level to factor into Polly's predictions."This report by The Canadian Press was first published Oct. 14, 2020.
The Canadian Press. All rights reserved.
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| Doc examines what this Canadian-made AI system predicts for the U.S. election | Doc examines Canadianmade AI predicts U.S. election National Entertainment pentictonherald.ca You permission edit article. Edit Close Sign Up Log In Dashboard Logout My Account Dashboard Profile Saved items Logout Home News Local News Kelowna News National News World News Medical Foundation Sports Local Sports National Sports Vees Business Local Business National Business Business Profiles Life Health Home Garden Seniors Wine Dine National Life Special Editions Opinion Columnists Letters Editor Classifieds Place Ad Obituaries Change Address Delivery Issues Gift Pay Bill Vacation Stop Contests About Subscription Services eEdition Make Home Page Sign Up Log In Dashboard Logout My Account Dashboard Profile Saved items Logout Facebook Twitter LinkedIn Wednesday, October 14, 2020 Toggle navigation Home News Local News Kelowna News National News World News Medical Foundation Sports Local Sports National Sports Vees Business Local Business National Business Business Profiles Life Health Home Garden Seniors Wine Dine National Life Special Editions Opinion Columnists Letters Editor Classifieds Place Ad Obituaries Change Address Delivery Issues Gift Pay Bill Vacation Stop Contests Doc examines Canadianmade AI predicts U.S. election Canadianmade AI predicts U.S. election Victoria Ahearn The Canadian Press Oct 14, 2020 2 hrs ago Facebook Twitter WhatsApp SMS Email An undated frame shown film Margin Error. A Canadianmade artificial intelligence called Polly looking months U.S. presidential election, public socialmedia data algorithms forecast population behaviour. Polly profiled new documentary Margin Error, premieres Saturday Ontarios publicly funded network TVO, Canada stations YouTube channel. THE CANADIAN PRESSHOOpen Door, MANDATORY CREDIT GAC Facebook Twitter WhatsApp SMS Email Print Save TORONTO Shes accurately predicted Brexit vote, 2016 American presidential outcome, years federal election Canada.Now, Canadianmade artificial intelligence called Polly forecasting months U.S. presidential election, public socialmedia data algorithms.Polly profiled new documentary Margin Error, premieres Saturday Ontarios publicly funded network TVO, Canada stations YouTube channel. Torontobased Peter Gombos wrote directed doc, looks promise concern forms AI like Polly help resolve issues traditional polling methods digital age.The film profiles Pollys creator, Ottawabased market research startup Advanced Symbolics . ASI, U.S. presidential predictions website, predictions currently update daily high margin error smaller closer Nov. 3 election, Wednesday afternoon, Democratic presidential nominee Joe Biden 346 Electoral College votes vs. U.S. President Donald Trump 192.Polly Biden 55 cent popular vote vs. Trump 45 cent.But course huge caveat that, particularly U.S., issues voter turnout, vote suppression, early voting discounted ballots, Gombos said phone interview.There swing states U.S., percentages swing states close, margins, like 5050 5149, plus minus cent. And voter turnout.The brainchild researchers University Ottawa, Polly short politics ASI forecast consumer attitudes, isnt contracted agencies. For election forecasting, looks macro behaviours patterns numbers social media users talking political party topic, sentiments theyre expressing. Margin Error, produced Tom Powers, followed ASI team Polly forecast 2019 Canadian federal election way promote research method. She predicted Liberals 155 seats Conservatives 118, close actual result 157 Liberal seats 121 Conservative.ASI says Polly accurate predictions highprofile votes, nearly centuryold format traditional polling phone calls door knocks missed mark some, including Brexit 2016 U.S.Once time dead easy, Gombos said traditional polling, uses surveys small group population selected random represent larger predict opinions entire populace.People enthusiastic, wouldnt slam door hang phone, theyd provide answers. And part, pollsters straightforward prediction, accurate. But demographics Canada, example, changed 40 years, technologies increasingly mobile, people irritated answering questions.Where polls capture slice time representative sample 1,000 people, instance, AI scour uptotheminute opinions behaviours hundreds thousands social media users longer period come patterns observed traditional polling, said Gombos.Polly primarily gets data Twitter, critics wonder accurately come representative sample greater whole, majority people platform skew younger, urban, politically motivated, said Gombos.But ASI counters Polly tracks algorithms Twitter identify users reflect demographics riding, way balance representative sample, added. Pollys algorithms apparently difficult bots pass through.And do, bots larger conversation, said Gombos, credits include series Yukon Gold Cold Water Cowboys.So conversation rise certain level factor Pollys predictions.This report The Canadian Press published Oct. 14, 2020. The Canadian Press. . 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] | 1 | POSITIVE | 33 |
https://www.tomshardware.com/uk/news/deepmind-ai-learns-play-quake-3,39553.html | 2020-05-27T00:00:00 | en | DeepMind AI Learns to Play Quake III | Tom's Hardware |
DeepMind AI Learns to Play Quake III | Tom's Hardware
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Home
News
DeepMind AI Learns to Play Quake III
By
Nathaniel Mott
31 May 2019
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Photo Source: DeepMind Developers often include dimwitted bots in training modes, single-player recreations of multiplayer game modes, and other parts of a game. These automatons rarely exhibit good decision making; most of us have probably watched bots run into walls or spin in circles. DeepMind's artificial intelligence is a bit more sophisticated, and on May 30, the company revealed that its bots can beat human players in Quake III's Capture the Flag mode.DeepMind is no stranger to developing machines capable of serving humans a heaping helping of humble pie. The most well-known example is AlphaGo, which beat the world's best Go player so handedly that he said competing against the AI was like playing in his backyard while AlphaGo explored the universe. The company has also worked to teach AI agents to play StarCraft II. (Another organization, OpenAI, taught its agents Dota 2.)Quake III is wildly different from Go. It's a three-dimensional game played in a first-person perspective, to start, and its Capture the Flag game mode is team-based rather than a one-on-one competition. DeepMind also chose a variant of the mode that relies on procedurally generated maps, which meant the agents couldn't simply learn the best solution for a pre-defined space, and instead had to learn and master the principles of Capture the Flag itself.To give you an idea of how well the agents learned how to play Quake III: DeepMind dubbed these agents For The Win (FTW) and they definitely earned that moniker. Despite knowing nothing about Capture the Flag to start, they learned the rules of the game as well as the core principles for success pretty quickly. Eventually they overtook 40 human players in a tournament where agents and humans played with and against each other. For science.DeepMind conceded that some of FTW's success could be attributed to the agent's literally inhuman reaction times. (Again: most of us have probably wondered how the heck a bot managed to kick our butts no matter how hard we tried to win.) So it slowed them down and, sure, enough, the agents still beat their human counterparts. To rub salt in the wound, the company said most players also rated FTW as more collaborative than humans.That means it's probably time to stop calling bad players bots. FTW showed that AI could learn the rules of a game, grok the fundamentals, and then get so good at the game that it beat humans even when it was handicapped with reaction times comparable to our own. Since these bots are actually better teammates than most humans, too, it seems like calling someone a bot could actually be a compliment once these agents go mainstream.What It Means for AINone of which is to say that FTW's success at Capture the Flag--and later other Quake III game modes--was just fun and games. DeepMind said that the work on this project "highlights the potential of multi-agent training to advance the development of artificial intelligence: exploiting the natural curriculum provided by multi-agent training, and forcing the development of robust agents that can even team up with humans."The company also noted that FTW learned how to play Capture the Flag in (perhaps surprisingly) human-like ways:"Through unsupervised learning we established the prototypical behaviours of agents and humans to discover that agents in fact learn human-like behaviours, such as following teammates and camping in the opponent’s base. [...] These behaviours emerge in the course of training, through reinforcement learning and population-level evolution, with behaviours–such as teammate following–falling out of favour as agents learn to cooperate in a more complementary manner."More information about this project is available via DeepMind's website, a paper that was published in Science, and a YouTube video on the subject from 2018.
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| DeepMind AI Learns to Play Quake III | DeepMind AI Learns Play Quake III Toms Hardware Skip main content logo Toms Hardware RSS Reviews Best Picks Raspberry Pi CPUs Graphics Cards Laptops More Cooling Desktops PC Builds Mice Headsets Keyboards Monitors Motherboards PC Cases Power Supplies RAM SSDs VR Headsets News Forums Trending AMD B550 Motherboards Intel Comet Lake Review Alienware m17 Raspberry Pi 4 SSD Booting Toms Hardware supported audience. When purchase links site, earn affiliate commission. Learn Home News DeepMind AI Learns Play Quake III By Nathaniel Mott 31 May 2019 Shares Photo Source: DeepMind Developers include dimwitted bots training modes, singleplayer recreations multiplayer game modes, parts game. These automatons rarely exhibit good decision making; probably watched bots run walls spin circles. DeepMinds artificial intelligence bit sophisticated, May 30, company revealed bots beat human players Quake IIIs Capture Flag mode.DeepMind stranger developing machines capable serving humans heaping helping humble pie. The wellknown example AlphaGo, beat worlds best Go player handedly said competing AI like playing backyard AlphaGo explored universe. The company worked teach AI agents play StarCraft II. Another organization, OpenAI, taught agents Dota 2.Quake III wildly different Go. Its threedimensional game played firstperson perspective, start, Capture Flag game mode teambased oneonone competition. DeepMind chose variant mode relies procedurally generated maps, meant agents simply learn best solution predefined space, instead learn master principles Capture Flag itself.To idea agents learned play Quake III: DeepMind dubbed agents For The Win FTW definitely earned moniker. Despite knowing Capture Flag start, learned rules game core principles success pretty quickly. Eventually overtook 40 human players tournament agents humans played other. For science.DeepMind conceded FTWs success attributed agents literally inhuman reaction times. Again: probably wondered heck bot managed kick butts matter hard tried win. So slowed and, sure, enough, agents beat human counterparts. To rub salt wound, company said players rated FTW collaborative humans.That means probably time stop calling bad players bots. FTW showed AI learn rules game, grok fundamentals, good game beat humans handicapped reaction times comparable own. Since bots actually better teammates humans, too, like calling bot actually compliment agents mainstream.What It Means AINone FTWs success Capture Flagand later Quake III game modeswas fun games. DeepMind said work project highlights potential multiagent training advance development artificial intelligence: exploiting natural curriculum provided multiagent training, forcing development robust agents team humans.The company noted FTW learned play Capture Flag surprisingly humanlike ways:Through unsupervised learning established prototypical behaviours agents humans discover agents fact learn humanlike behaviours, following teammates camping opponents base. [...]These behaviours emerge course training, reinforcement learning populationlevel evolution, behaviourssuch teammate followingfalling favour agents learn cooperate complementary manner.More information project available DeepMinds website, paper published Science, YouTube video subject 2018. Be In Know Get instant access breaking news, indepth reviews helpful tips. Thank signing Toms Hardware. You receive verification email shortly. There problem. Please refresh try again. No spam, promise. You unsubscribe time share details permission. Most Popular Most Shared 1 Raspberry Pi Project Helps Track Glucose Levels 2 Intel NUC 11 Extremes Tiger LakeU Roars At 4.4 GHz 3 Best Graphics Cards Gaming 2020 4 Report: AMD B550 Motherboards Confusingly Restart AGESA Version Count 5 Logitech Teases Cheaper, Tenkeyless Version G915 Lightspeed Wireless Gaming Keyboard 1 Raspberry Pi Project Helps Track Glucose Levels 2 Intel NUC 11 Extremes Tiger LakeU Roars At 4.4 GHz 3 Best Graphics Cards Gaming 2020 4 Report: AMD B550 Motherboards Confusingly Restart AGESA Version Count 5 Logitech Teases Cheaper, Tenkeyless Version G915 Lightspeed Wireless Gaming Keyboard Toms Hardware Future plc, international media group leading digital publisher. Visit corporate site. Terms conditions Privacy policy policy Accessibility Statement Advertise About Future Publishing Limited Quay House, The Ambury, Bath BA1 1UA. . England Wales company registration number 2008885. | 2,020 | [
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http://www.radio.broadcastnewsroom.com/2020/06/04/captionhub-powers-ai-captioning-for-nab-show-express/?utm_source=rss&utm_medium=rss&utm_campaign=captionhub-powers-ai-captioning-for-nab-show-express | 2020-06-05T00:00:00 | en | CaptionHub Powers AI Captioning for NAB Show Express | | Broadcast Newsroom |
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Home2020June4CaptionHub Powers AI Captioning for NAB Show Express
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CaptionHub Powers AI Captioning for NAB Show Express
By
BN Staff
15 hours ago
WASHINGTON–(BUSINESS WIRE)–CaptionHub, the market-leading video and audio captioning platform, was selected as the captioning partner for the 2020 NAB Show Express. NAB Show Express used CaptionHub’s AI technology to deliver event video captioning at an unprecedented scale as it shifted event education and exhibitor profiles to an entirely online offering.
NAB Show provided session captioning for the deaf and hard of hearing, underscoring the event’s commitment to accessibility for all. CaptionHub has developed a proprietary AI model called Natural Captions©, which pairs advanced speech recognition with natural language processing and scene detection. The result is naturalistic, readable captions.
Using CaptionHub’s integrated machine translation, key sessions were translated, furthering NAB Show’s reach and enabling transmission to a global audience. The success of NAB Show Express paves the way for future online events as trade shows expand their digital presence.
“CaptionHub was selected for its ability to deliver captions and subtitles at the scale needed by NAB,” said Dorian Sullivan, vice president, Audience Development. “Leveraging its existing integration with online video platform partner Brightcove, CaptionHub provided a simple, effective route for NAB to ingest and publish subtitles.”
“Post production is in CaptionHub’s DNA, so we were delighted to be approached by NAB. It is the benchmark event for the media industry,” said Tom Bridges, CaptionHub’s founder and CEO. “They also share our values around accessibility and making content available for the widest possible audience. Our technology helps power captioning for some of the world’s biggest brands, but it’s the human connection that we feel most passionate about.”
About CaptionHub
CaptionHub is the market-leading video & audio captioning platform which uses the latest technologies in machine learning, automatic speech recognition, machine translation and team collaboration. Leading brands, media companies and translation agencies worldwide use CaptionHub to create, edit and publish subtitles to video. For more information, visit www.captionhub.com
About NAB Show Express
NAB Show Express, held May 13 – 14 and available on-demand through August 2020, is a dynamic online event offering 24-hour access to premium content curated for the global entertainment and media community. Featuring more than 200 educational sessions as well as an exclusive Marketplace, NAB Show Express provides critical information, inspiration and solutions to move the industry forward. For more information, visit www.nabshow.com/express
About NAB
The National Association of Broadcasters is the premier advocacy association for America’s broadcasters. NAB advances radio and television interests in legislative, regulatory and public affairs. Through advocacy, education and innovation, NAB enables broadcasters to best serve their communities, strengthen their businesses and seize new opportunities in the digital age. Learn more at www.nab.org.
Contacts
CaptionHub
James Jameson
[email protected]
NAB
Becca Trate
[email protected]
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| CaptionHub Powers AI Captioning for NAB Show Express | CaptionHub Powers AI Captioning NAB Show Express Broadcast Newsroom Skip content Broadcast Newsroom News Information Broadcast Professionals Primary Menu for: Home2020June4CaptionHub Powers AI Captioning NAB Show Express News CaptionHub Powers AI Captioning NAB Show Express By BN Staff 15 hours ago WASHINGTONBUSINESS WIRECaptionHub, marketleading video audio captioning platform, selected captioning partner 2020 NAB Show Express. NAB Show Express CaptionHubs AI technology deliver event video captioning unprecedented scale shifted event education exhibitor profiles entirely online offering. NAB Show provided session captioning deaf hard hearing, underscoring events commitment accessibility all. CaptionHub developed proprietary AI model called Natural Captions, pairs advanced speech recognition natural language processing scene detection. The result naturalistic, readable captions. Using CaptionHubs integrated machine translation, key sessions translated, furthering NAB Shows reach enabling transmission global audience. The success NAB Show Express paves way future online events trade shows expand digital presence. CaptionHub selected ability deliver captions subtitles scale needed NAB, said Dorian Sullivan, vice president, Audience Development. Leveraging existing integration online video platform partner Brightcove, CaptionHub provided simple, effective route NAB ingest publish subtitles. Post production CaptionHubs DNA, delighted approached NAB. It benchmark event media industry, said Tom Bridges, CaptionHubs founder CEO. They share values accessibility making content available widest possible audience. Our technology helps power captioning worlds biggest brands, human connection feel passionate about. About CaptionHub CaptionHub marketleading video audio captioning platform uses latest technologies machine learning, automatic speech recognition, machine translation team collaboration. Leading brands, media companies translation agencies worldwide use CaptionHub create, edit publish subtitles video. For information, visit About NAB Show Express NAB Show Express, held May 13 14 available ondemand August 2020, dynamic online event offering 24hour access premium content curated global entertainment media community. Featuring 200 educational sessions exclusive Marketplace, NAB Show Express provides critical information, inspiration solutions industry forward. For information, visit About NAB The National Association Broadcasters premier advocacy association Americas broadcasters. NAB advances radio television interests legislative, regulatory public affairs. Through advocacy, education innovation, NAB enables broadcasters best serve communities, strengthen businesses seize new opportunities digital age. Learn CaptionHub James Jameson james NAB Becca Trate Btrate Continue Reading Previous AlefEdge Wins Frost Sullivan 2020 Global Product Line Strategy Award EdgeOptimizing SoftwareNext Comcast Announces Redemption 1.430 Billion 4.05 Senior Notes August 2046 for: Video NewsCategoriesCategories Select Category 3D Printing 4K 60fps 8K Automation Avid Broadcast Camera CES Asia Color Grading Community Compositing Content Content Creation Dailies Distribution DIT Education Electronics Encoder Feature Finishing Grading IBC Image Processing IP Video IQS Lighting Live Streaming Manufacturing Media Server Metadata Monitor Music Music Video NAB News People Post Production ProRes Review Robotics Storage Streaming Technology Top Story Transcription Translation Tutorial UHD Video Video Editing Video processor Videowall VR Workflow Recent Posts WWE Adjourn Annual Meeting Third Time Due COVID19 Concerns AWS Slack Join Forces Deliver Future Enterprise Workplace Comcast Participate Credit Suisse Investor Conference Comcast Announces Redemption 1.430 Billion 4.05 Senior Notes August 2046 CaptionHub Powers AI Captioning NAB Show Express Archives June 2020 May 2020 April 2020 March 2020 February 2020 January 2020 December 2019 November 2019 October 2019 September 2019 August 2019 July 2019 June 2019 May 2019 April 2019 Partner SitesIT Business Net Digital Producer Magazine Digital Media Net Media Hub Consumer Electronics Net Broadcast Newsroom Health Technology Net ByteSteam Crypto Blockchain Free Digital Stock Photos Broadcast Newsroom . Magazine 7 AF themes. error: Content protected | 2,020 | [
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] | 1 | NEGATIVE | 35 |
https://www.siasat.com/retired-ai-employees-seek-labour-ministrys-intervention-for-pension-1986924/ | 2020-09-29T00:00:00 | en | Retired AI employees seek Labour Ministry's intervention for pension |
Retired AI employees seek Labour Ministry's intervention for pension
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Home/News/Retired AI employees seek Labour Ministry’s intervention for pension
Retired AI employees seek Labour Ministry’s intervention for pension
By News Desk 1Published: 30th September 2020 2:05 am IST
New Delhi, Sep 29 : Retired employees of Air India have said that the absence of pensions is causing them hardship.
“Considering the rate of inflation and devaluation of rupee in India, the accumulated Provident Fund received by the employees of Air India does not facilitate them to meet their basic needs after retirement. Hence, without any steady income and any pension, it is causing financial hardship to us, retired employees,” they said.
The retired employees have now asked the Labour Ministry to bring Air India under the Employees’ Provident Funds and Miscellaneous Provisions Act, 1952 to avail pension after retirement.
“We, the retired employees of Air India Ltd, hereby request you to do the needful on our matter to bring Air India under the Employees’ Provident Funds and Miscellaneous Provisions Act, 1952 to avail pension through Employees’ Pension Scheme, 1995 in place of the existing coverage under the Provident Funds Act, 1925.
“Further, with limited source of income, we are not in a position to fight it out with Air India management legally and hence request your kind intervention to sort out this issue positively in our favour,” the retired employees said in a letter to Labour Minister Santosh Gangwar.
READ: Goa court grants bail to Poonam Pandey's husband“We are sure that you will be able to bring positive change and succeed in bringing uniformity in application of EPF MP Act, 1952 and bringing all left-out Government agencies under its ambit,” they said.
The Standing Committee on Labour has recommended that the Ministry should now proactively explore the possibilities of amending the obsolete 1925 act and merge all the PF trusts of all establishments/organisations under it into a single body/trust.
To arrive at any conclusion and decide an appropriate process, the information from establishments/organisations under the 1925 act was called in a proforma. It was brought out that the government is actively considering bringing the remaining few left-overestablishments, currently covered under the 1925 act, also under the ambit of the 1952 act.
In March, a writ petition was filed by around 1,450 retired Air India employees requesting that the Air India management be asked to join the EPFO.
In this regard, an order was passed by the judge asking Air India to reply within 12 weeks.
However, with the lockdown announced by the government due to Covid-19, after a gap of 20 weeks, Air India’s management, vide its letter dated August 13, 2020, said that since the airline is under the PF Act, 1925, hence it is not possible for Air India to become a member of EPFO, to enable the retirees of Air India Ltd to become eligible to get pension.
READ: Pak again violates ceasefire on LoC in Rajouri districtThe employees said: “We would like to reiterate the fact that inspite of Air India Ltd being a Public Sector Company, owned by the Government of India and whose Chairman and the Board are appointed by the Government, its employees are not covered under Employees’ Provident Funds and Miscellaneous Provisions Act, 1952, in order to make its employees eligible for pension after retirement.”
Any rule which denies pension of a reasonable amount to its employees is against thespirit of Article 14 of the Constitution,they added.
“Whilst on the subject, we wish to inform that, the salary structure in Air India has always been very low as compared to other public sector undertakings like BPCL, HPCL or ONGC,” they said.
They said that presently, under the scheme of pension annuity is bought in the name of retired employee and an amount of approximately Rs 300 per month is received by an employee retired in the grade of assistant manager.
Source: IANS
Disclaimer: This story is auto-generated from IANS service.
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| Retired AI employees seek Labour Ministry's intervention for pension | Retired AI employees seek Labour Ministrys intervention pension Menu Switch skin Home ePaper Telangana Hyderabad News India Middle East Entertainment Business Photos Videos Switch skin Sidebar HomeNewsRetired AI employees seek Labour Ministrys intervention pension Retired AI employees seek Labour Ministrys intervention pension By News Desk 1Published: 30th September 2020 2:05 IST New Delhi, Sep 29 : Retired employees Air India said absence pensions causing hardship. Considering rate inflation devaluation rupee India, accumulated Provident Fund received employees Air India facilitate meet basic needs retirement. Hence, steady income pension, causing financial hardship us, retired employees, said. The retired employees asked Labour Ministry bring Air India Employees Provident Funds Miscellaneous Provisions Act, 1952 avail pension retirement. We, retired employees Air India Ltd, request needful matter bring Air India Employees Provident Funds Miscellaneous Provisions Act, 1952 avail pension Employees Pension Scheme, 1995 place existing coverage Provident Funds Act, 1925. Further, limited source income, position fight Air India management legally request kind intervention sort issue positively favour, retired employees said letter Labour Minister Santosh Gangwar. READ: Goa court grants bail Poonam Pandeys husbandWe sure able bring positive change succeed bringing uniformity application EPF MP Act, 1952 bringing leftout Government agencies ambit, said. The Standing Committee Labour recommended Ministry proactively explore possibilities amending obsolete 1925 act merge PF trusts establishmentsorganisations single bodytrust. To arrive conclusion decide appropriate process, information establishmentsorganisations 1925 act called proforma. It brought government actively considering bringing remaining leftoverestablishments, currently covered 1925 act, ambit 1952 act. In March, writ petition filed 1,450 retired Air India employees requesting Air India management asked join EPFO. In regard, order passed judge asking Air India reply 12 weeks. However, lockdown announced government Covid19, gap 20 weeks, Air Indias management, vide letter dated August 13, 2020, said airline PF Act, 1925, possible Air India member EPFO, enable retirees Air India Ltd eligible pension. READ: Pak violates ceasefire LoC Rajouri districtThe employees said: We like reiterate fact inspite Air India Ltd Public Sector Company, owned Government India Chairman Board appointed Government, employees covered Employees Provident Funds Miscellaneous Provisions Act, 1952, order employees eligible pension retirement. Any rule denies pension reasonable employees thespirit Article 14 Constitution,they added. Whilst subject, wish inform that, salary structure Air India low compared public sector undertakings like BPCL, HPCL ONGC, said. They said presently, scheme pension annuity bought retired employee approximately Rs 300 month received employee retired grade assistant manager. Source: IANS Disclaimer: This story autogenerated IANS service. Get news updates WhatsApp Telegram subscribing channels. For latest News updates, download app Android iOS. By News Desk 1Published: 30th September 2020 2:05 IST Contribute To contribute article Siasat Daily enquire syndication, write newsdesk Trending News Paani aaya bhagoThe rumour rocked Hyderabad 1970 Balika Vadhu director sells vegetables UP, Anup Soni Reacts Babil shares photos Irrfan Khans grave Pics inside Latest News 9 seconds ago Bairstow, Warner Williamson SRH 1624 10 mins ago KTR confident TRS retain power GHMC huge majority 20 mins ago IDBI implements document embedding feature SFMS News Featured India Delhi Politics World Pakistan Kashmir Middle East Gallery Photos Videos Technology Mobile Technology Crime Crime Hyderabad Crime Accident Entertainment Bollywood Hollywood Sports Lifestyle Health Mens Health Womens Health Recipes South India Telangana Andhra Pradesh Hyderabad Bangalore Business Business Stock Market Automobile 914024744180 914024603666 FacebookTwitterLinkedInYouTubeInstagramTelegramWhatsapp Editorial Standards Us Advertise With Us Support Sitemap Siasat Daily, 2020. Back button Close for: Hindi Urdu ePaper Telangana Hyderabad News India Middle East World Andhra Pradesh News Bangalore News Bollywood News Hollywood Technology Science Sports Photos Videos Politics Crime Health Business Islamic Hub Jobs Recipes FacebookTwitterLinkedInYouTubeInstagramTelegramWhatsapp Hindi Urdu ePaper Telangana Hyderabad News India Middle East World Andhra Pradesh News Bangalore News Bollywood News Hollywood Technology Science Sports Photos Videos Politics Crime Health Business Islamic Hub Jobs Recipes Close | 2,020 | [
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] | 1 | NEGATIVE | 36 |
https://www.einpresswire.com/article/515065925/fintech-studios-launches-free-revolutionary-covid-tracker-using-ai-machine-learning-and-natural-language-processing | 2020-04-21T00:00:00 | en | FinTech Studios Launches Free Revolutionary COVID Tracker™ using AI, Machine Learning and Natural Language Processing |
FinTech Studios Launches Free Revolutionary COVID Tracker™ using AI, Machine Learning and Natural Language Processing
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FinTech Studios Launches Free Revolutionary COVID Tracker™ using AI, Machine Learning and Natural Language Processing
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The COVID-19 pandemic is rapidly transforming our globe and impacting billions of people and millions of businesses in every region of the world.”— Jim TousignantNEW YORK, NEW YORK, UNITED STATES, April 21, 2020 /EINPresswire.com/ -- New York, NY April 21, 2020. FinTech Studios™, the leading AI-based intelligent search and analytics platform for Wall Street, today launched a FREE revolutionary COVID Tracker for both businesses and consumers to use. “The COVID-19 pandemic is rapidly transforming our globe and impacting billions of people and millions of businesses in every region of the world” said Jim Tousignant, founder and CEO of FinTech Studios. “We are excited to launch this free revolutionary AI-based COVID Tracker to help everyone on Wall Street and Main Street successfully navigate this challenging time and provide instant access to the most relevant COVID-19 related news and market analytics globally”, said Tousignant.
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FinTech Studios has developed a revolutionary AI-based intelligent search and analytics platform designed for Wall Street professionals that uses AI, machine learning and NLP technology to deliver the world’s most advanced real-time market intelligence, regulatory intelligence and big-data analytics accessing millions of curated sources in 42 languages. FinTech Studios was founded in 2014 by Jim Tousignant, previously co-founder and President of Multex, a leading online research and financial information platform that went public in 1999, achieved a market cap of $1.5 billion and was acquired by Reuters.
To learn more about FinTech Studios, visit www.fintechstudios.com. Contact us at [email protected] Tousignant, CEO
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| FinTech Studios Launches Free Revolutionary COVID Tracker™ using AI, Machine Learning and Natural Language Processing | FinTech Studios Launches Free Revolutionary COVID Tracker AI, Machine Learning Natural Language Processing Questions? 1 202 3353939 Set Up FREE Account Submit Release Why Us Press Releases Services Pricing Comparison Chart Distribution Resources World Media Directory RSS Email Newsletters There 638 press releases posted 24 hours 167,381 365 days. FinTech Studios Launches Free Revolutionary COVID Tracker AI, Machine Learning Natural Language Processing FinTech Studios logo Worlds advanced Coronavirus news analytics app available FREE 42 languages The COVID19 pandemic rapidly transforming globe impacting billions people millions businesses region world. Jim TousignantNEW YORK, NEW YORK, UNITED STATES, April 21, 2020 New York, NY April 21, 2020. FinTech Studios, leading AIbased intelligent search analytics platform Wall Street, today launched FREE revolutionary COVID Tracker businesses consumers use. The COVID19 pandemic rapidly transforming globe impacting billions people millions businesses region world said Jim Tousignant, founder CEO FinTech Studios. We excited launch free revolutionary AIbased COVID Tracker help Wall Street Main Street successfully navigate challenging time provide instant access relevant COVID19 related news market analytics globally, said Tousignant. COVID Tracker leverages Amazon AWS scalable cloud technology combined FinTech Studios advanced artificial intelligence AI, machine learning ML natural language processing NLP technology rapidly analyze unstructured data millions online sources realtime 42 languages covering topics related COVID19. COVID Tracker includes multiple dashboards instantly access breaking COVID news US States, Countries, Global Regions, Industries Topics. Users intelligently search, filter access millions global news stories daily 42 languages latest trends time. COVID Tracker instantly translates news 40 languages user selected language quickly relevant information native foreign languages. Users assess rapidly changing impact COVID millions global companies, people, topics, regions, countries, industries, customers, suppliers, investors, competitors regulatory changes. COVID Tracker interactive dashboards include AIbased News, Trending News, Media Coverage, Word Cloud CoMentions widgets filter relevant COVID content analytics timeframes, including: Trending News: View trending news articles selected time frame Media Coverage: Graphically monitor pace COVID related news articles published state, country, topic industry selected time frame CoMentions: Quickly identify companies, people industries comentioned COVID global, regional local levels selected time frame Word Cloud: Surface trending keywords millions articles displayed visual word clouds trending words mentioned COVIDrelated articles selected time frame The COVID Tracker amazing. A user drill specific things want monitor Tracker update automatically. Plus simple change tracking perspective viewing data, said Gerry Mintz, Managing Partner Percepta Partners. To access free COVID Tracker, About FinTech Studios FinTech Studios developed revolutionary AIbased intelligent search analytics platform designed Wall Street professionals uses AI, machine learning NLP technology deliver worlds advanced realtime market intelligence, regulatory intelligence bigdata analytics accessing millions curated sources 42 languages. FinTech Studios founded 2014 Jim Tousignant, previously cofounder President Multex, leading online research financial information platform went public 1999, achieved market cap 1.5 billion acquired Reuters. To learn FinTech Studios, visit sales Tousignant, CEO FinTech Studios . 1 4074517110 email Visit social media: Twitter LinkedIn Share Facebook Twitter LinkedIn Distribution channels: Banking, Finance Investment Industry, Business Economy, Companies, Healthcare Pharmaceuticals Industry, IT Industry, Media, Advertising PR, Social Media, Technology, Telecommunications, World Regional ... EIN Presswire exercise editorial control thirdparty content provided, uploaded, published, distributed users EIN Presswire. We distributor, publisher, 3rd party content. Such content contain views, opinions, statements, offers, material respective users, suppliers, participants, authors. Jim Tousignant, CEO FinTech Studios . 1 4074517110 email Share This Story Facebook Twitter LinkedIn Print PDF More From This Source FinTech Studios Launches Free Revolutionary COVID Tracker AI, Machine Learning Natural Language Processing FinTech Studios Raises 5.1 Million Investment View All Stories From This Source EIN Presswire Follow Back Quick Links: Submit Releases Set Up FREE Account Pricing Comparison Chart Distribution Resources: RSS Email Newsletters World Media Directory EIN Newsdesk NewsPlugin Press Releases: All Press Releases Featured Press Releases Press Releases Browse Date Featured Clients: GlobeNewswire IT Governance CUTVNews Team NuVision Help Information Center: Why Us? About EIN Presswire Helpful Tips Video Tutorial Client Testimonials Blog Services Free Press Release Distribution Press Release Distribution Services Send Press Release Submit Free Press Release User Agreement Editorial Guidelines EIN News Home About EIN News Founded 1995, EIN News international leader realtime news tracking digital information services. Our systems continuously scan web, indexing news thousands worldwide sources. The data filtered organized news streams. The process supervised team professional news editors. We news professionals technologists dedicated producing fastest comprehensive news streams planet. We committed providing members highest quality software tools resources available. EIN News division Internet Product Development Group . To reach send email 1 202 3353939. EIN Presswire Events Conferences Newsfeed Maker Inbox Robot IPD Group EIN Twitter EIN Facebook 19952020 IPD Group, . dba EIN Presswire EIN News. All Right Reserved. User Agreement Why Us Testimonials Client Reviews Blog posts Video Tutorials Browse All Releases Browse Featured Release Browse Topic Browse Date Free Press Release Distribution Press Release Distribution Services Send Press Release Submit Free Press Release Press Release Distribution Media Monitoring Distribution Overview World Media Directory U.S. TVRadio Microwires Newsdesk NewsPlugin | 2,020 | [
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] | 1 | POSITIVE | 37 |
https://nysenewstimes.com/artificial-intelligence-ai-partnering-market-2020-2027-top-key-players-are-adynxx-aether-akesogen-futures-align-technology-alivecor-oncology-als-association-american-sleep-apnea-asso/ | 2020-03-09T00:00:00 | en | Artificial Intelligence (AI) Partnering Market 2020-2027 | Top key players are Adynxx, Aether, AKESOgen, Futures, Align Technology, AliveCor, Oncology, ALS Association, American Sleep Apnea Association, Analytics Engines – Nyse News Times |
Artificial Intelligence (AI) Partnering Market 2020-2027 | Top key players are Adynxx, Aether, AKESOgen, Futures, Align Technology, AliveCor, Oncology, ALS Association, American Sleep Apnea Association, Analytics Engines – Nyse News Times
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Artificial Intelligence (AI) Partnering Market 2020-2027 | Top key players are Adynxx, Aether, AKESOgen, Futures, Align Technology, AliveCor, Oncology, ALS Association, American Sleep Apnea Association, Analytics Engines
[email protected] March 9, 2020
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Artificial Intelligence (AI) PartneringArtificial Intelligence (AI) Partnering 2020Artificial Intelligence (AI) Partnering ForecastArtificial Intelligence (AI) Partnering IndustryArtificial Intelligence (AI) Partnering MarketArtificial Intelligence (AI) Partnering OpportunitiesArtificial Intelligence (AI) Partnering OutlookArtificial Intelligence (AI) Partnering PriceArtificial Intelligence (AI) Partnering Research CompaniesArtificial Intelligence (AI) Partnering SegmentationArtificial Intelligence (AI) Partnering Share Artificial Intelligence (AI) Partnering SampleArtificial Intelligence (AI) Partnering StatusArtificial Intelligence (AI) Partnering Trend
Global Artificial Intelligence (AI) Partnering Market Forecast 2020-2027
A new report, Global “Artificial Intelligence (AI) Partnering Market” provides an overview of recent factors enabling growth in the global Artificial Intelligence (AI) Partnering industry. According to the report, recent innovations have created several growth opportunities for prevailing companies as well as newer market entrants.
Global Artificial Intelligence (AI) Partnering Market Research Reports provides information regarding market trends, competitive landscape, market analysis, cost structure, capacity, revenue, gross profit, business distribution and forecast 2027.
The key Players covered in this report Adynxx, Aether, AKESOgen, Futures, Align Technology, AliveCor, Oncology, ALS Association, American Sleep Apnea Association, Analytics Engines, Anthem, ArcherDX, Ares Genetics, Arm, ARUP Laboratories, AstraZeneca, Atomwise, ATUM, Auransa, Auron Therapeutics, Automation Anywhere, Avera Health, AXA PPP healthcare, Ayasdi, BASF, Bausch & Lomb, Bayer, Bay Labs, BCG Digital Ventures, BC Platforms, Becton Dickinson, BenevolentAI, Benson Hill Biosystems, Berg, BERG Analytics, BioBeats, Biocept, Biorelate, Blackford, BlackThorn Therapeutics, Blockshine Technology, Body Labs, BrainScope
Get PDF Sample Report for Further information at https://www.reportsandmarkets.com/sample-request/global-artificial-intelligence-ai-partnering-2019-to-2024?utm_source=NewsTimes&utm_medium=36
This report also includes the overall and comprehensive study of the Artificial Intelligence (AI) Partnering market with all its aspects influencing the growth of the market. This report is exhaustive quantitative analyses of the Artificial Intelligence (AI) Partnering industry and provides data for making strategies to increase the market growth and effectiveness.
The Global Artificial Intelligence (AI) Partnering market 2020 research provides a basic overview of the industry including definitions, classifications, applications and industry chain structure. The Global Artificial Intelligence (AI) Partnering market analysis is provided for the international markets including development trends, competitive landscape analysis, and key regions development status.
Development policies and plans are discussed as well as manufacturing processes and cost structures are also analyzed. This report also states import/export consumption, supply and demand Figures, cost, price, revenue and gross margins.
In addition to this, regional analysis is conducted to identify the leading region and calculate its share in the global Artificial Intelligence (AI) Partnering market. Various factors positively impacting the growth of the Artificial Intelligence (AI) Partnering market in the leading region are also discussed in the report. The global Artificial Intelligence (AI) Partnering market is also segmented on the basis of types, end users, geography and other segments.
The study objectives of this report are:
To study and analyze the global Artificial Intelligence (AI) Partnering consumption (value & volume) by key regions/countries, product type and application, history data from 2014 to 2018, and forecast to 2027.
To understand the structure of Artificial Intelligence (AI) Partnering market by identifying its various subsegments.
Focuses on the key global Artificial Intelligence (AI) Partnering manufacturers, to define, describe and analyze the sales volume, value, market share, market competition landscape, SWOT analysis and development plans in next few years.
To analyze the Artificial Intelligence (AI) Partnering with respect to individual growth trends, future prospects, and their contribution to the total market.
To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).
To project the consumption of Artificial Intelligence (AI) Partnering submarkets, with respect to key regions (along with their respective key countries).
To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
To strategically profile the key players and comprehensively analyze their growth strategies.
Any Query or Discount? Ask our Expert At https://www.reportsandmarkets.com/enquiry/global-artificial-intelligence-ai-partnering-2019-to-2024?utm_source=NewsTimes&utm_medium=36
Table of Content:
Chapter One Industry Overview of Artificial Intelligence (AI) Partnering
Chapter Two Manufacturing Cost Structure Analysis
Chapter Three Development and Manufacturing Plants Analysis of Artificial Intelligence (AI) Partnering
Chapter Four Key Figures of Major Manufacturers
Chapter Five Artificial Intelligence (AI) Partnering Regional Market Analysis
Chapter Six Artificial Intelligence (AI) Partnering Segment Market Analysis (by Type)
Chapter Seven Artificial Intelligence (AI) Partnering Segment Market Analysis (by Application)
Chapter Eight Artificial Intelligence (AI) Partnering Major Manufacturers Analysis
Chapter Nine Development Trend of Analysis of Artificial Intelligence (AI) Partnering Market
Chapter Ten Marketing Channel
Chapter Eleven Conclusion
About Us:
Market research is the new buzzword in the market, which helps in understanding the market potential of any product in the market. Reports And Markets is not just another company in this domain but is a part of a veteran group called Algoro Research Consultants Pvt. Ltd. It offers premium progressive statistical surveying, market research reports, analysis & forecast data for a wide range of sectors both for the government and private agencies all across the world.
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| Artificial Intelligence (AI) Partnering Market 2020-2027 | Artificial Intelligence AI Partnering Market 20202027 Top key players Adynxx, Aether, AKESOgen, Futures, Align Technology, AliveCor, Oncology, ALS Association, American Sleep Apnea Association, Analytics Engines Nyse News Times Skip content Monday, March 09, 2020 Home Our Journalist Disclaimer Us Nyse News Times Market News Research Nyse News Times Market News Research Business News Industry Reports Investing Market Analysis Market Outlook Stocks News Industry Analysis Market Research Business News Featured Industry Analysis Industry Reports Investing Market Analysis Market Outlook Market Research Stocks News Technology Artificial Intelligence AI Partnering Market 20202027 Top key players Adynxx, Aether, AKESOgen, Futures, Align Technology, AliveCor, Oncology, ALS Association, American Sleep Apnea Association, Analytics Engines [emailprotected] March 9, 2020 No Comments Artificial Intelligence AI PartneringArtificial Intelligence AI Partnering 2020Artificial Intelligence AI Partnering ForecastArtificial Intelligence AI Partnering IndustryArtificial Intelligence AI Partnering MarketArtificial Intelligence AI Partnering OpportunitiesArtificial Intelligence AI Partnering OutlookArtificial Intelligence AI Partnering PriceArtificial Intelligence AI Partnering Research CompaniesArtificial Intelligence AI Partnering SegmentationArtificial Intelligence AI Partnering Share Artificial Intelligence AI Partnering SampleArtificial Intelligence AI Partnering StatusArtificial Intelligence AI Partnering Trend Global Artificial Intelligence AI Partnering Market Forecast 20202027 A new report, Global Artificial Intelligence AI Partnering Market provides overview recent factors enabling growth globalArtificial Intelligence AI Partnering industry. According report, recent innovations created growth opportunities prevailing companies newer market entrants. Global Artificial Intelligence AI Partnering MarketResearch Reports provides information market trends, competitive landscape, market analysis, cost structure, capacity, revenue, gross profit, business distribution forecast 2027. The key Players covered report Adynxx, Aether, AKESOgen, Futures, Align Technology, AliveCor, Oncology, ALS Association, American Sleep Apnea Association, Analytics Engines, Anthem, ArcherDX, Ares Genetics, Arm, ARUP Laboratories, AstraZeneca, Atomwise, ATUM, Auransa, Auron Therapeutics, Automation Anywhere, Avera Health, AXA PPP healthcare, Ayasdi, BASF, Bausch Lomb, Bayer, Bay Labs, BCG Digital Ventures, BC Platforms, Becton Dickinson, BenevolentAI, Benson Hill Biosystems, Berg, BERG Analytics, BioBeats, Biocept, Biorelate, Blackford, BlackThorn Therapeutics, Blockshine Technology, Body Labs, BrainScope Get PDF Sample Report Further information This report includes overall comprehensive study Artificial Intelligence AI Partnering market aspects influencing growth market. This report exhaustive quantitative analyses Artificial Intelligence AI Partnering industry provides data making strategies increase market growth effectiveness. The Global Artificial Intelligence AI Partnering market 2020 research provides basic overview industry including definitions, classifications, applications industry chain structure. The Global Artificial Intelligence AI Partnering market analysis provided international markets including development trends, competitive landscape analysis, key regions development status. Development policies plans discussed manufacturing processes cost structures analyzed. This report states importexport consumption, supply demand Figures, cost, price, revenue gross margins. In addition this, regional analysis conducted identify leading region calculate share globalArtificial Intelligence AI Partnering market. Various factors positively impacting growth Artificial Intelligence AI Partnering market leading region discussed report. The globalArtificial Intelligence AI Partnering marketis segmented basis types, end users, geography segments. The study objectives report are: To study analyze global Artificial Intelligence AI Partnering consumption value volume key regionscountries, product type application, history data 2014 2018, forecast 2027. To understand structure Artificial Intelligence AI Partnering market identifying subsegments. Focuses key global Artificial Intelligence AI Partnering manufacturers, define, analyze sales volume, value, market share, market competition landscape, SWOT analysis development plans years. To analyze Artificial Intelligence AI Partnering respect individual growth trends, future prospects, contribution total market. To share detailed information key factors influencing growth market growth potential, opportunities, drivers, industryspecific challenges risks. To project consumption Artificial Intelligence AI Partnering submarkets, respect key regions respective key countries. To analyze competitive developments expansions, agreements, new product launches, acquisitions market. To strategically profile key players comprehensively analyze growth strategies. Any Query Discount? Ask Expert At Table Content: Chapter One Industry Overview Artificial Intelligence AI Partnering Chapter Two Manufacturing Cost Structure Analysis Chapter Three Development Manufacturing Plants Analysis Artificial Intelligence AI Partnering Chapter Four Key Figures Major Manufacturers Chapter Five Artificial Intelligence AI Partnering Regional Market Analysis Chapter Six Artificial Intelligence AI Partnering Segment Market Analysis Type Chapter Seven Artificial Intelligence AI Partnering Segment Market Analysis Application Chapter Eight Artificial Intelligence AI Partnering Major Manufacturers Analysis Chapter Nine Development Trend Analysis Artificial Intelligence AI Partnering Market Chapter Ten Marketing Channel Chapter Eleven Conclusion : Market research new buzzword market, helps understanding market potential product market. Reports And Markets company domain veteran group called Algoro Research Consultants Pvt. Ltd. It offers premium progressive statistical surveying, market research reports, analysis forecast data wide range sectors government private agencies world. Us: Sanjay Jain Manager Partner Relations International Marketing Ph:13523530818 US Connect us: FacebookTwitterLinkedIn Leave Reply Cancel reply Your email address published. 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] | 1 | POSITIVE | 38 |
https://m.hindustantimes.com/india-news/iisc-researchers-working-on-covid-19-detection-using-raman-spectroscopy-artificial-intelligence/story-f0zZuYUJD8QwOyUJDip1mO_amp.html | 2020-12-06T00:00:00 | en | IISc researchers working on Covid-19 detection using Raman spectroscopy, artificial intelligence - india news - Hindustan Times |
IISc researchers working on Covid-19 detection using Raman spectroscopy, artificial intelligence - india news - Hindustan Times
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Home / India News / IISc researchers working on Covid-19 detection using Raman spectroscopy, artificial intelligence
IISc researchers working on Covid-19 detection using Raman spectroscopy, artificial intelligence
Raman Spectroscopy is a non-destructive chemical analysis technique which provides detailed information about chemical structure, phase and polymorphy, crystallinity and molecular interactions. It is based upon the interaction of light with the chemical bonds within a material.
Updated: Dec 06, 2020, 12:29 IST
By Press Trust of India| Posted by Mallika Soni, Bengaluru
Researchers at the Indian Institute of Science (IISc), Bangalore, are working on rapid identification of Covid-19 biomarkers in blood plasma using Raman spectroscopy and artificial intelligence.
(Reuters/ Representative)
Researchers at the Indian Institute of Science (IISc), Bangalore, are working on rapid identification of Covid-19 biomarkers in blood plasma using Raman spectroscopy and artificial intelligence. Raman Spectroscopy is a non-destructive chemical analysis technique which provides detailed information about chemical structure, phase and polymorphy, crystallinity and molecular interactions. It is based upon the interaction of light with the chemical bonds within a material.According to the team, using artificial intelligence and deep learning, the Covid-19 detection process will be automated and rapid and there will be no requirement of any extraction procedure. “It is of critical importance to develop new technologies that can rapidly detect Covid-19 and perform mass testing, and at the same are cost-effective. In this regard, Raman spectroscopy holds significant promise,” according to Dipankar Nandi, Professor at IISc Bangalore and principal investigator of the project.“Traditionally a chemist’s tool, Raman spectroscopy has found numerous applications in biomedicine, especially in disease diagnosis. This method probes bond vibrations and is very sensitive to the structural changes, giving a molecular fingerprint of the sample. Every disease is associated with a change in biochemistry which can either be a cause for disease manifestation or may be a consequence of the disease itself,” he added.The research is being conducted in collaboration with AIIMS, Bhopal, which will be providing patient samples and healthy controls. “Our proposal is directed at identifying Covid-19 biomarkers in the blood plasma of infected patients. No extraction procedure or reagents are required. The only requirement is a spectrometer and the patient samples. Using artificial intelligence and deep learning, the detection process will be automated and rapid. Spectra collected from infected Covid-19 patients and healthy controls will be used for training and building robust classification models,” according to Nandi.India’s Covid-19 caseload rose to 96.44 lakh, while the total number of people who have recuperated from the disease crossed 91 lakh pushing the national recovery rate to 94.37 per cent, according to the Union Health Ministry data updated on Sunday.The Covid-19 active caseload plunged to almost 4 lakh after 138 days.The total coronavirus cases mounted to 96,44,222 with 36,011 new infections being reported in a day, while the death toll crossed to 1.40 lakh with 482 new fatalities, the data updated at 8 am showed.
tags
IISC Bangalore
AIIMS
Coronavirus
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| IISc researchers working on Covid-19 detection using Raman spectroscopy, artificial intelligence | IISc researchers working Covid19 detection Raman spectroscopy, artificial intelligence india news Hindustan Times Sections india cities opinion world HTLS 2020 cricket games entertainment trending videos education podcasts web stories US election education Health WFHLife auto gurugram realestate htweekend epaper sports CricHT HT Friday Finance photos business htbrand stories lifestyle tech ht school mumbai live updates ht bangla environment science EPaper Games Home India News IISc researchers working Covid19 detection Raman spectroscopy, artificial intelligence IISc researchers working Covid19 detection Raman spectroscopy, artificial intelligence Raman Spectroscopy nondestructive chemical analysis technique provides detailed information chemical structure, phase polymorphy, crystallinity molecular interactions. It based interaction light chemical bonds material. Updated: Dec 06, 2020, 12:29 IST By Press Trust India Posted Mallika Soni, Bengaluru Researchers Indian Institute Science IISc, Bangalore, working rapid identification Covid19 biomarkers blood plasma Raman spectroscopy artificial intelligence. Reuters Representative Researchers Indian Institute Science IISc, Bangalore, working rapid identification Covid19 biomarkers blood plasma Raman spectroscopy artificial intelligence. Raman Spectroscopy nondestructive chemical analysis technique provides detailed information chemical structure, phase polymorphy, crystallinity molecular interactions. It based interaction light chemical bonds material.According team, artificial intelligence deep learning, Covid19 detection process automated rapid requirement extraction procedure. It critical importance develop new technologies rapidly detect Covid19 perform mass testing, costeffective. In regard, Raman spectroscopy holds significant promise, according Dipankar Nandi, Professor IISc Bangalore principal investigator project.Traditionally chemists tool, Raman spectroscopy numerous applications biomedicine, especially disease diagnosis. This method probes bond vibrations sensitive structural changes, giving molecular fingerprint sample. Every disease associated change biochemistry cause disease manifestation consequence disease itself, added.The research conducted collaboration AIIMS, Bhopal, providing patient samples healthy controls. Our proposal directed identifying Covid19 biomarkers blood plasma infected patients. No extraction procedure reagents required. The requirement spectrometer patient samples. Using artificial intelligence deep learning, detection process automated rapid. Spectra collected infected Covid19 patients healthy controls training building robust classification models, according Nandi.Indias Covid19 caseload rose 96.44 lakh, total number people recuperated disease crossed 91 lakh pushing national recovery rate 94.37 cent, according Union Health Ministry data updated Sunday.The Covid19 active caseload plunged 4 lakh 138 days.The total coronavirus cases mounted 96,44,222 36,011 new infections reported day, death toll crossed 1.40 lakh 482 new fatalities, data updated 8 showed. tags IISC Bangalore AIIMS Coronavirus SCROLL FOR MORE NEWS news India considers French offer Airbus multirole midair refuellers Dec 06, 2020 12:18 IST Farmers protests Delhi borders enter Day 11; city traffic diverted Dec 06, 2020 10:43 IST Been 14 days vaccine shot: Anil Vij testing Covid19 positive Dec 06, 2020 12:56 IST Covid19 vaccine update: : Pfizer seeks emergency use nod India Dec 06, 2020 12:28 IST latest news Cop, civilian injured suspected terror attack police check point Srinagar Dec 06, 2020 13:18 IST England vs South Africa: ODI delayed new COVID19 cases Dec 06, 2020 13:17 IST Women higher risk death heart failure, attack men Dec 06, 2020 13:11 IST Nobel laureate Kailash Satyarthis NGO rescues 1600 trafficked children exploitation pandemic Dec 06, 2020 13:08 IST This site uses cookies This site partners use technology cookies personalize content ads analyse traffic. By site agree privacy policy. You change mind revisit choices anytime future. Accept Privacy policy Disclaimer Code Ethics HT Digital Streams Ltd. . | 2,020 | [
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https://www.searchenginejournal.com/machine-learning-seo/208415/?utm_source=sej-feed | 2020-09-16T00:00:00 | en | How Machine Learning Is Changing SEO & How to Adapt | How Machine Learning Is Changing SEO & How to Adapt SEOAll SEOAsk An SEOBeginner's Guide to SEOComplete Guide to SEOHow Search Engines WorkLink Building for BeginnersComplete Guide to Link BuildingLocal SEO GuideOn-Page SEO GuideTechnical SEO GuideSEO AuditPPCAll PPCPPC GuideDigital AdvertisingAsk a PPC ExpertCONTENTAll ContentContent Marketing GuideSOCIALAll SocialSocial Media GuideFacebookInstagramLinkedInPinterestRedditSnapchatTwitterYoutubeTikTokNEWSAll NewsMost ReadADVERTISEMORESectionsSEOPPCContentSocial MediaCareerFriday FocusNewsTopicsAnalyticsDigital ExperienceInternational SearchLink BuildingLocal SearchMobile SearchToolsWeb DevelopmentResourcesE-BooksGoogle Algorithm UpdatesPodcastsWebinarsJob BoardSEJ MerchAdvertiseAdvertising on SEJShopSEJPost A JobCompanySubscribeAboutContactPrivacy PolicyDo Not Sell My InfoToolboxPress MaterialsA Complete Guide to PPC Marketing BasicsDownload YouTubeTwitterFacebookFollow UsRssLinkedInInstagramRedditPinterestJob Title*Agency Manager/DirectorAnalytics Manager/ProfessionalMarketing Director/ManagerMarketing ProfessionalSEO Director/ManagerSEO ProfessionalSocial Media ProfessionalSocial Media Director/ManagerPaid Search Director/ManagerPaid Search ProfessionalOwner/PartnerIT ProfessionalIT Manager/DirectorSales/Business DevelopmentOther×Follow UsRssTwitterFacebookInstagramLinkedInYoutubeSEOAll SEOAsk An SEOBeginner's Guide to SEOComplete Guide to SEOHow Search Engines WorkLink Building for BeginnersComplete Guide to Link BuildingLocal SEO GuideOn-Page SEO GuideTechnical SEO GuideSEO AuditSEO Tools GuidePPCAll PPCPPC GuideDigital AdvertisingAsk a PPC ExpertContent MarketingAll ContentContent Marketing GuideSocial mediaAll SocialSocial Media GuideFacebookInstagramLinkedInPinterestRedditSnapchatTwitterYoutubeTikTokNewsALL NEWSMost ReadSectionsSEOPPCContentSocial MediaCareerNewsWeb DevelopmentTopicsAnalyticsDigital ExperienceInternational SearchLink BuildingLocal SearchMobile SearchToolsResourcesE-BooksGoogle Algorithm UpdatesPodcastsWebinarsJob BoardSEJ MerchAdvertiseAdvertising on SEJShopSEJPost a JobCompanyAboutContactPrivacy PolicyToolboxPress MaterialsADVERTISESubscribeSEJ MerchDo Not Sell My InfoAdvertisement SEJ » SEOHow Machine Learning Is Changing SEO & How to AdaptLearn how machine learning is transforming SEO and what you can do to keep up with the changes and stay ahead of the competition. Winston Burton3 hours ago8 min read VIP CONTRIBUTOR Winston BurtonVP, SEO at AcronymBioFollow / 3 hours ago / 8 min read 4.0KSHARES14KREADS People who consume online media are constantly changing.These days, they look for instantaneous insights and results; making the role of machine learning even more important in SEO.Marketers only need to look at recent developments with Google’s RankBrain to get a sense of how important it is to search marketing.Current machine-based technology can boost business productivity by up to 40%, according to Accenture.If you still aren’t sure how machine learning is changing SEO, it’s time to pay attention.Machine learning is not new anymore – it’s been around and used for years.But early adopters were able to reap the benefits.For example, in 2017 Netflix saved $1 billion by using machine learning to make personalized recommendations.Most recently, Google RankBrain has revolutionized how search results are determined.Machine learning technology adapts and responds to data, learning over time to better answer search queries.This helps provide better accuracy in search results at a speed beyond human capabilities.AdvertisementContinue Reading BelowAs marketers, we are tasked often with doing more with less. And as search marketers, ROI and efficiency are prerequisites for success.We must learn new skills and adapt to how things are rapidly changing with the rise of this technology.If not you could soon notice a significant drop in your client’s search engine visibility, conversions, and traffic.You might think it’s because of an algorithm update, but that may not be the case.What it could be related to is machine learning changing the SERPs and causing your client’s site to slip further down the page where no one will see it.What Is Machine Learning?Before we go into what will change, let’s get a clear and straightforward definition of what machine learning is.Machine learning is a subfield of artificial intelligence (AI) concerned with algorithms that allow computers to learn.That’s according to Toby Segaran’s, “Programming Collective Intelligence” book.Deep learning technologies (the next level of machine-learning) train themselves – based on neural networks.AdvertisementContinue Reading BelowThis is where massive data sets are combined with pattern-recognition capabilities to find patterns and power self-learning to make decisions.Why Are Things Changing?Today’s consumer lives in an instantaneous world where they expect information and results delivered immediately.That’s why Google, Facebook, Apple, and Amazon are putting machine learning at the heart of what they do so they can keep up and serve with speed, accuracy, and precision.As SEO professionals, we need to do the same.We have to keep up with this change with the SERPs while trying to make sense of the massive data sets.We also have to constantly learn new skills required to find and act on search insights.The human brain can hold the equivalent of a million gigabytes of memory, whereas machines can hold well over trillions of gigabytes.Help is needed because the reality is that without help, this cannot be done as efficiently as we would all like.How Will This Change the Role of SEO Professionals?Google is continually learning how to better look at things and understand things in a much deeper way than ever before.This allows them to provide better results to end users that satisfy their intent.Your new responsibility is to make sure you have content that is relevant and useful in the moment across all devices, platforms, and content formats.If your content fails to provide users with a positive experience, then you’re going to have a challenging time trying to rank in the top positions of the SERPs as the machines continue to learn and get smarter.Google has a plethora of end-user data.It helps Google understand what users find useful and relevant and allows the machine to understand user interests and preferences to better sort and rank the search engine results.Google wants to connect great content to your clients’ potential customers along the customer journey.Therefore, developing content around intent is the ideal way to go.AdvertisementContinue Reading BelowMachine learning can help with SEO – such as understanding of queries (intent), personalization, and voice search.This means you can focus more on content experience and providing high-quality content experiences for your clients.Both can be done through content development and optimization services across the fragmented user journey.Many brands struggle with content development (machine learning can help) and always ask the following questions:What should I write about?What are the trending topics?What are users saying about my brand?I don’t have the resources to develop content. Can you help?This is where a strong and useful content strategy, social listening, and new content development becomes critical.They help find topics that people are talking about, trends, and content that help with the user’s problem in the moment.Technical SEO – Will It Still Be Relevant?Technical SEO will always be relevant.However, as time goes on, the amount of time, resources, and the repetitiveness associated with technical SEO can be lessened since it will require less human interaction.AdvertisementContinue Reading BelowGoogle Search Console (GSC) will eventually be entirely run on machine learning technology, which will limit human interaction.Remember though that machine learning is not there to replace but there to help.Many software and platform vendors are building tools and applications that are SEO friendly and follow SEO best practices.If you utilize the right machine learning technology, you can save time on tasks such as:Keyword research.Technical audits.Content optimization.Content distribution.Internal linking.With less time needed for technical SEO, you can focus more on creating high-quality content based on intent.How Will Structured Data Help?Having structured data is extremely important to help the search engines better understand content and return more informative results to end-users.Anytime you can give search engines data in a way that they can understand, it can help increase your visibility, indexation, and click-through rates.AdvertisementContinue Reading BelowSchema is a fantastic way to drive more organic traffic.Having high click-through rates is an end-user signal that informs Google that your content is popular and users are engaging with it.Structured data isn’t for every brand, but if you have a client that sells things online, schema can help enhance the search results by showing users:Product information.Prices.Reviews.Other valuable data points.All of this can help convince users to buy more of your client’s products or services.Link QualityToday links are still important.But it’s all about quality rather than quantity.The more quality links you have from related domains, the higher your search engine rankings will be.Even more, if you have high quality and useful content to support it.I highly recommend that you conduct a link audit to see if any toxic links might be hurting your client’s search visibility.AdvertisementContinue Reading BelowAnother essential component of any successful SEO campaign: monitoring your link portfolio.Did your site lose any links?Losing links from high authority sites could impact your search engine visibility and traffic.Improving Customer Experience Machine learning is already helping companies by reducing costs by 38%.At the same time, it is helping to generate better customer insights & intelligence (37%) and improving customer experiences.Machine learning is helping marketers by giving real-time insights into consumer behavior.AdvertisementContinue Reading BelowIf you combine that with a keen focus on creating quality content, your results will improve.If your content is popular and generates a lot of visits, users stay engaged with the content and interact with the content, and your site will dominate the SERPs.ConclusionSEO is rapidly changing with advances in machine learning.It helps us far better understand intent – an essential signal for content that is relevant and of high quality.It helps us sieve through massive amounts of data and gain actionable insights, and take action and do some laborious and tedious tasks for us.The SEO community must adapt and help Google connect audiences with the right content at the right time and deliver the best content experience.As SEO practitioners, we must provide content that:Is of high quality.Meets end-user intent.Gives end users a positive content experience.Is useful.AdvertisementContinue Reading BelowThings don’t stay the same forever.Technology is getting better and will continue to shape every aspect of our lives and how we practice SEO.We have to make sure we’re prepared for the future and not limit our SEO efforts on tactics and strategies that don’t work anymore.Focusing on what’s important to get clients the results they are paying for.We should let machine learning help do just that.More Resources:A Practical Introduction to Machine Learning for SEO ProfessionalsHow Search Engines Use Machine Learning: 9 Things We Know for SureWhy SEO & Machine Learning Are Joining ForcesImage CreditsAll screenshots taken by authorCategoryCareers & EducationSEO ADVERTISEMENTSubscribe to SEJGet our daily newsletter from SEJ's Founder Loren Baker about the latest news in the industry!First Name*Last Name*Email*Job Title*---Agency Manager/DirectorAnalytics Manager/ProfessionalMarketing Director/ManagerMarketing ProfessionalSEO Director/ManagerSEO ProfessionalSocial Media ProfessionalSocial Media Director/ManagerPaid Search Director/ManagerPaid Search ProfessionalOwner/PartnerIT ProfessionalIT Manager/DirectorSales/Business DevelopmentOther Winston Burton VP, SEO at AcronymWinston Burton is an SEO and digital marketing expert with over 12 years of experience. Winston is currently the VP, ... [Read full bio]ADVERTISEMENTSuggested ArticlesWhy SEO & Machine Learning Are Joining Forces A Practical Introduction to Machine Learning for SEO Professionals Ryan Jones on Ranking Factor Nonsense, Machine Learning & SEO, Why You Should Build Websites & More [PODCAST] AdvertisementAdvertisementAdvertisementInvestment-Inspired Techniques to Diversify Your SEO Agency Client Portfolio Subscribe to SEJGet our daily newsletter from SEJ's Founder Loren Baker about the latest news in the industry!Job Title*Agency Manager/DirectorAnalytics Manager/ProfessionalMarketing Director/ManagerMarketing ProfessionalSEO Director/ManagerSEO ProfessionalSocial Media ProfessionalSocial Media Director/ManagerPaid Search Director/ManagerPaid Search ProfessionalOwner/PartnerIT ProfessionalIT Manager/DirectorSales/Business DevelopmentOtherHow to Catch & Fix SEO Issues Before It’s Too Late Wednesday, September 23 at 2 p.m. ET AdvertisementRead the Next Article SEO BasicsHow Search Engines WorkSEO GuideLocal SEOLink Building GuideOn-Page SEO GuideTechnical SEO GuideHow to Do an SEO AuditWhat is SEO?Why You Need SEOHow SEO WorksLearn SEOSEO ToolsGoogle UpdatesFree SEO TrainingSubscribe to SEJGet our daily newsletter from SEJ's Founder Loren Baker about the latest news in the industry!Job Title*Agency Manager/DirectorAnalytics Manager/ProfessionalMarketing Director/ManagerMarketing ProfessionalSEO Director/ManagerSEO ProfessionalSocial Media ProfessionalSocial Media Director/ManagerPaid Search Director/ManagerPaid Search ProfessionalOwner/PartnerIT ProfessionalIT Manager/DirectorSales/Business DevelopmentOther Read the Next FacebokTwitterLinkedinEmailSMSSMS ok | How Machine Learning Is Changing SEO & How to Adapt | How Machine Learning Is Changing SEO How Adapt SEOAll SEOAsk An SEOBeginners Guide SEOComplete Guide SEOHow Engines WorkLink Building BeginnersComplete Guide Link BuildingLocal SEO GuideOnPage SEO GuideTechnical SEO GuideSEO AuditPPCAll PPCPPC GuideDigital AdvertisingAsk PPC ExpertCONTENTAll ContentContent Marketing GuideSOCIALAll SocialSocial Media GuideFacebookInstagramLinkedInPinterestRedditSnapchatTwitterYoutubeTikTokNEWSAll NewsMost ReadADVERTISEMORESectionsSEOPPCContentSocial MediaCareerFriday FocusNewsTopicsAnalyticsDigital ExperienceInternational Link BuildingLocal Mobile ToolsWeb DevelopmentResourcesEBooksGoogle Algorithm UpdatesPodcastsWebinarsJob BoardSEJ MerchAdvertiseAdvertising SEJShopSEJPost A JobCompanyAboutDo Not Sell My InfoToolboxPress MaterialsA Complete Guide PPC Marketing BasicsDownload YouTubeTwitterFacebookRssLinkedInInstagramRedditPinterestJob TitleAgency ManagerDirectorAnalytics ManagerProfessionalMarketing DirectorManagerMarketing ProfessionalSEO DirectorManagerSEO ProfessionalSocial Media ProfessionalSocial Media DirectorManagerPaid DirectorManagerPaid ProfessionalOwnerPartnerIT ProfessionalIT ManagerDirectorSalesBusiness DevelopmentOtherRssTwitterFacebookInstagramLinkedInYoutubeSEOAll SEOAsk An SEOBeginners Guide SEOComplete Guide SEOHow Engines WorkLink Building BeginnersComplete Guide Link BuildingLocal SEO GuideOnPage SEO GuideTechnical SEO GuideSEO AuditSEO Tools GuidePPCAll PPCPPC GuideDigital AdvertisingAsk PPC ExpertContent MarketingAll ContentContent Marketing GuideSocial mediaAll SocialSocial Media GuideFacebookInstagramLinkedInPinterestRedditSnapchatTwitterYoutubeTikTokNewsALL NEWSMost ReadSectionsSEOPPCContentSocial MediaCareerNewsWeb DevelopmentTopicsAnalyticsDigital ExperienceInternational Link BuildingLocal Mobile ToolsResourcesEBooksGoogle Algorithm UpdatesPodcastsWebinarsJob BoardSEJ MerchAdvertiseAdvertising SEJShopSEJPost JobCompanyAboutToolboxPress MaterialsADVERTISESEJ MerchDo Not Sell My InfoAdvertisement SEJSEOHow Machine Learning Is Changing SEO How AdaptLearn machine learning transforming SEO changes stay ahead competition. Winston Burton3 hours ago8 min read VIP CONTRIBUTOR Winston BurtonVP, SEO AcronymBioFollow3 hours ago8 min read 4.0KSHARES14KREADS People consume online media constantly changing.These days, look instantaneous insights results; making role machine learning important SEO.Marketers need look recent developments Googles RankBrain sense important search marketing.Current machinebased technology boost business productivity 40, according Accenture.If arent sure machine learning changing SEO, time pay attention.Machine learning new anymore years.But early adopters able reap benefits.For example, 2017 Netflix saved 1 billion machine learning personalized recommendations.Most recently, Google RankBrain revolutionized search results determined.Machine learning technology adapts responds data, learning time better answer search queries.This helps provide better accuracy search results speed human capabilities.AdvertisementContinue Reading BelowAs marketers, tasked less. And search marketers, ROI efficiency prerequisites success.We learn new skills adapt things rapidly changing rise technology.If soon notice significant drop clients search engine visibility, conversions, traffic.You think algorithm update, case.What related machine learning changing SERPs causing clients site slip it.What Is Machine Learning?Before change, lets clear straightforward definition machine learning is.Machine learning subfield artificial intelligence AI concerned algorithms allow computers learn.Thats according Toby Segarans, Programming Collective Intelligence book.Deep learning technologies level machinelearning train based neural networks.AdvertisementContinue Reading BelowThis massive data sets combined patternrecognition capabilities patterns power selflearning decisions.Why Are Things Changing?Todays consumer lives instantaneous world expect information results delivered immediately.Thats Google, Facebook, Apple, Amazon putting machine learning heart serve speed, accuracy, precision.As SEO professionals, need same.We change SERPs trying sense massive data sets.We constantly learn new skills required act search insights.The human brain hold equivalent million gigabytes memory, machines hold trillions gigabytes.Help needed reality help, efficiently like.How Will This Change Role SEO Professionals?Google continually learning better look things understand things deeper way before.This allows provide better results end users satisfy intent.Your new responsibility sure content relevant useful moment devices, platforms, content formats.If content fails provide users positive experience, youre going challenging time trying rank positions SERPs machines continue learn smarter.Google plethora enduser data.It helps Google understand users useful relevant allows machine understand user interests preferences better sort rank search engine results.Google wants connect great content clients potential customers customer journey.Therefore, developing content intent ideal way go.AdvertisementContinue Reading BelowMachine learning help SEO understanding queries intent, personalization, voice search.This means focus content experience providing highquality content experiences clients.Both content development optimization services fragmented user journey.Many brands struggle content development machine learning help ask following questions:What I write about?What trending topics?What users saying brand?I dont resources develop content. Can help?This strong useful content strategy, social listening, new content development critical.They help topics people talking about, trends, content help users problem moment.Technical SEO Will It Still Be Relevant?Technical SEO relevant.However, time goes on, time, resources, repetitiveness associated technical SEO lessened require human interaction.AdvertisementContinue Reading BelowGoogle Console GSC eventually entirely run machine learning technology, limit human interaction.Remember machine learning replace help.Many software platform vendors building tools applications SEO friendly follow SEO best practices.If utilize right machine learning technology, save time tasks as:Keyword research.Technical audits.Content optimization.Content distribution.Internal linking.With time needed technical SEO, focus creating highquality content based intent.How Will Structured Data Help?Having structured data extremely important help search engines better understand content return informative results endusers.Anytime search engines data way understand, help increase visibility, indexation, clickthrough rates.AdvertisementContinue Reading BelowSchema fantastic way drive organic traffic.Having high clickthrough rates enduser signal informs Google content popular users engaging it.Structured data isnt brand, client sells things online, schema help enhance search results showing users:Product information.Prices.Reviews.Other valuable data points.All help convince users buy clients products services.Link QualityToday links important.But quality quantity.The quality links related domains, higher search engine rankings be.Even more, high quality useful content support it.I highly recommend conduct link audit toxic links hurting clients search visibility.AdvertisementContinue Reading BelowAnother essential component successful SEO campaign: monitoring link portfolio.Did site lose links?Losing links high authority sites impact search engine visibility traffic.Improving Customer Experience Machine learning helping companies reducing costs 38.At time, helping generate better customer insights intelligence 37 improving customer experiences.Machine learning helping marketers giving realtime insights consumer behavior.AdvertisementContinue Reading BelowIf combine keen focus creating quality content, results improve.If content popular generates lot visits, users stay engaged content interact content, site dominate SERPs.ConclusionSEO rapidly changing advances machine learning.It helps far better understand intent essential signal content relevant high quality.It helps sieve massive amounts data gain actionable insights, action laborious tedious tasks us.The SEO community adapt help Google connect audiences right content right time deliver best content experience.As SEO practitioners, provide content that:Is high quality.Meets enduser intent.Gives end users positive content experience.Is useful.AdvertisementContinue Reading BelowThings dont stay forever.Technology getting better continue shape aspect lives practice SEO.We sure prepared future limit SEO efforts tactics strategies dont work anymore.Focusing whats important clients results paying for.We let machine learning help that.More Resources:A Practical Introduction Machine Learning SEO ProfessionalsHow Engines Use Machine Learning: 9 Things We Know SureWhy SEO Machine Learning Are Joining ForcesImage CreditsAll screenshots taken authorCategoryCareers EducationSEO ADVERTISEMENT SEJGet daily newsletter SEJs Founder Loren Baker latest news industryFirst NameLast NameEmailJob TitleAgency ManagerDirectorAnalytics ManagerProfessionalMarketing DirectorManagerMarketing ProfessionalSEO DirectorManagerSEO ProfessionalSocial Media ProfessionalSocial Media DirectorManagerPaid DirectorManagerPaid ProfessionalOwnerPartnerIT ProfessionalIT ManagerDirectorSalesBusiness DevelopmentOther Winston Burton VP, SEO AcronymWinston Burton SEO digital marketing expert 12 years experience. Winston currently VP, ... [Read bio]ADVERTISEMENTSuggested ArticlesWhy SEO Machine Learning Are Joining Forces A Practical Introduction Machine Learning SEO Professionals Ryan Jones Ranking Factor Nonsense, Machine Learning SEO, Why You Should Build Websites More [PODCAST] AdvertisementAdvertisementAdvertisementInvestmentInspired Techniques Diversify Your SEO Agency Client Portfolio SEJGet daily newsletter SEJs Founder Loren Baker latest news industryJob TitleAgency ManagerDirectorAnalytics ManagerProfessionalMarketing DirectorManagerMarketing ProfessionalSEO DirectorManagerSEO ProfessionalSocial Media ProfessionalSocial Media DirectorManagerPaid DirectorManagerPaid ProfessionalOwnerPartnerIT ProfessionalIT ManagerDirectorSalesBusiness DevelopmentOtherHow Catch Fix SEO Issues Before Its Too Late Wednesday, September 23 2 p.m. ET AdvertisementRead Next Article SEO BasicsHow Engines WorkSEO GuideLocal SEOLink Building GuideOnPage SEO GuideTechnical SEO GuideHow Do SEO AuditWhat SEO?Why You Need SEOHow SEO WorksLearn SEOSEO ToolsGoogle UpdatesFree SEO Training SEJGet daily newsletter SEJs Founder Loren Baker latest news industryJob TitleAgency ManagerDirectorAnalytics ManagerProfessionalMarketing DirectorManagerMarketing ProfessionalSEO DirectorManagerSEO ProfessionalSocial Media ProfessionalSocial Media DirectorManagerPaid DirectorManagerPaid ProfessionalOwnerPartnerIT ProfessionalIT ManagerDirectorSalesBusiness DevelopmentOther Read Next FacebokTwitterLinkedinEmailSMSSMS ok | 2,020 | [
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] | 1 | POSITIVE | 40 |
https://www.wkrb13.com/2020/09/26/matrix-ai-network-reaches-market-capitalization-of-2-16-million-man.html | 2020-09-26T00:00:00 | en | Matrix AI Network Reaches Market Capitalization of $2.16 Million (MAN) - WKRB News |
Matrix AI Network Reaches Market Capitalization of $2.16 Million (MAN) - WKRB News
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Posted by Scott Davis on Sep 26th, 2020
Matrix AI Network (CURRENCY:MAN) traded 6.7% higher against the US dollar during the 24 hour period ending at 16:00 PM E.T. on September 26th. Matrix AI Network has a total market cap of $2.16 million and approximately $110,942.00 worth of Matrix AI Network was traded on exchanges in the last day. Over the last seven days, Matrix AI Network has traded 5.5% higher against the US dollar. One Matrix AI Network token can now be purchased for about $0.0101 or 0.00000094 BTC on popular cryptocurrency exchanges including DDEX, HitBTC, Kucoin and Ethfinex.
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UNUS SED LEO (LEO) traded down 0.3% against the dollar and now trades at $1.24 or 0.00011514 BTC.
Advanced Internet Blocks (AIB) traded down 6.4% against the dollar and now trades at $0.0474 or 0.00000442 BTC.
Dogecoin (DOGE) traded 0.6% higher against the dollar and now trades at $0.0027 or 0.00000025 BTC.
Bytom (BTM) traded 0.9% higher against the dollar and now trades at $0.0712 or 0.00000663 BTC.
Verge (XVG) traded down 2.3% against the dollar and now trades at $0.0042 or 0.00000039 BTC.
Syscoin (SYS) traded 2.6% higher against the dollar and now trades at $0.0525 or 0.00000489 BTC.
XeniosCoin (XNC) traded up 0% against the dollar and now trades at $0.38 or 0.00003554 BTC.
Polymath (POLY) traded 1.4% lower against the dollar and now trades at $0.0376 or 0.00000350 BTC.
TTC Protocol (TTC) traded 5.3% lower against the dollar and now trades at $0.0992 or 0.00001073 BTC.
About Matrix AI Network
Matrix AI Network is a proof-of-work (PoW) token that uses the Scrypt hashing algorithm. It launched on June 26th, 2017. Matrix AI Network’s total supply is 647,450,056 tokens and its circulating supply is 214,302,042 tokens. The Reddit community for Matrix AI Network is /r/MatrixAINetwork and the currency’s Github account can be viewed here. Matrix AI Network’s official Twitter account is @peoplecoinnews and its Facebook page is accessible here. The official website for Matrix AI Network is www.matrix.io.
Matrix AI Network Token Trading
Matrix AI Network can be bought or sold on the following cryptocurrency exchanges: LBank, CoinEgg, Kucoin, Gate.io, DDEX, Ethfinex, IDEX, HitBTC and HADAX. It is usually not possible to buy alternative cryptocurrencies such as Matrix AI Network directly using U.S. dollars. Investors seeking to trade Matrix AI Network should first buy Ethereum or Bitcoin using an exchange that deals in U.S. dollars such as Coinbase, GDAX or Changelly. Investors can then use their newly-acquired Ethereum or Bitcoin to buy Matrix AI Network using one of the exchanges listed above.
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| Matrix AI Network Reaches Market Capitalization of $2.16 Million (MAN) | Matrix AI Network Reaches Market Capitalization 2.16 Million MAN WKRB News Home About Daily Email Updates Markets Ratings Dividends Earnings Insider Trades Cryptocurrencies Daily Ratings News Matrix AI Network Complete form receive latest headlines analysts recommendations Matrix AI Network free daily email newsletter: Follow Recent Posts DFI.Money Achieves Market Cap 143.48 Million YFII PowerPool Tops 1Day Volume 5.40 Million CVP RIF Token RIF Reaches 24Hour Volume 10.34 Million Ecoreal Estate Trading Down 5.4 Over Last Week ECOREAL Coin MINTME Achieves Market Cap 298,683.41 Namecoin 24Hour Trading Volume Reaches 307.00 NMC Neutrino USD Trading Up 0.4 Over Last 7 Days USDN Crowd Machine Price Tops 0.0009 CMCT Transcodium TNS Price Hits 0.0014 Exchanges VeriME VME Reaches 1Day Volume 145.00 SingularityNET 24 Hour Trading Volume Tops 477,024.00 AGI DAOstack Price Down 18.4 This Week GEN Mooncoin Trading Down 11.7 This Week MOON Lambda LAMB Trading 11 Lower Over Last 7 Days TraDove B2BCoin BBC Price Hits 0.0013 Major Exchanges CaluraCoin Tops One Day Trading Volume 300.00 CLC Karbo Reaches Market Cap 470,961.92 KRB Bolivarcoin BOLI 1Day Volume Hits 24.00 Bitcoin Private Price Tops 0.11 Top Exchanges BTCP Robotina Hits Market Capitalization 4.30 Million ROX Matrix AI Network Reaches Market Capitalization 2.16 Million MAN Posted Scott Davis Sep 26th, 2020 Matrix AI Network CURRENCY:MAN traded 6.7 higher US dollar 24 hour period ending 16:00 PM E.T. September 26th. Matrix AI Network total market cap 2.16 million approximately 110,942.00 worth Matrix AI Network traded exchanges day. Over seven days, Matrix AI Network traded 5.5 higher US dollar. One Matrix AI Network token purchased 0.0101 0.00000094 BTC popular cryptocurrency exchanges including DDEX, HitBTC, Kucoin Ethfinex. Heres similar cryptocurrencies performed day: Get Matrix AI Network alerts: Litecoin LTC traded 0.5 dollar trades 46.02 0.00428569 BTC. UNUS SED LEO LEO traded 0.3 dollar trades 1.24 0.00011514 BTC. Advanced Internet Blocks AIB traded 6.4 dollar trades 0.0474 0.00000442 BTC. Dogecoin DOGE traded 0.6 higher dollar trades 0.0027 0.00000025 BTC. Bytom BTM traded 0.9 higher dollar trades 0.0712 0.00000663 BTC. Verge XVG traded 2.3 dollar trades 0.0042 0.00000039 BTC. Syscoin SYS traded 2.6 higher dollar trades 0.0525 0.00000489 BTC. XeniosCoin XNC traded 0 dollar trades 0.38 0.00003554 BTC. Polymath POLY traded 1.4 lower dollar trades 0.0376 0.00000350 BTC. TTC Protocol TTC traded 5.3 lower dollar trades 0.0992 0.00001073 BTC. About Matrix AI Network Matrix AI Network proofofwork PoW token uses Scrypt hashing algorithm. It launched June 26th, 2017. Matrix AI Networks total supply 647,450,056 tokens circulating supply 214,302,042 tokens. The Reddit community Matrix AI Network rMatrixAINetwork currencys Github account viewed here. Matrix AI Networks official Twitter account Facebook accessible here. The official website Matrix AI Network Matrix AI Network Token Trading Matrix AI Network bought sold following cryptocurrency exchanges: LBank, CoinEgg, Kucoin, , DDEX, Ethfinex, IDEX, HitBTC HADAX. It usually possible buy alternative cryptocurrencies Matrix AI Network directly U.S. dollars. Investors seeking trade Matrix AI Network buy Ethereum Bitcoin exchange deals U.S. dollars Coinbase, GDAX Changelly. Investors use newlyacquired Ethereum Bitcoin buy Matrix AI Network exchanges listed above. Receive News Updates Matrix AI Network Daily Enter email address receive concise daily summary latest news updates Matrix AI Network related cryptocurrencies FREE CryptoBeat newsletter. PREVIOUSHealthcare Services Group, . NASDAQ:HCSG Expected Announce Quarterly Sales 437.22 Million NEXT VIG VIG Hits Market Cap 3.11 Million Latest News DFI.Money Achieves Market Cap 143.48 Million PowerPool Tops 1Day Volume 5.40 Million RIF Token Reaches 24Hour Volume 10.34 Million Ecoreal Estate Trading Down 5.4 Over Last Week Coin Achieves Market Cap 298,683.41 Namecoin 24Hour Trading Volume Reaches 307.00 Markets Ratings Dividends Earnings Insider Trades Cryptocurrencies 20062020 WKRB News | 2,020 | [
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https://www.pymnts.com/spend-management/2020/how-ai-streamlines-expense-reporting/ | 2020-03-05T00:00:00 | en | How AI Streamlines Expense Reporting | PYMNTS.com | How AI Streamlines Expense Reporting | PYMNTS.com Today’s NewsRetailB2BOpinionEditors’ PicksReport Store®StudiesTrackers®PodcastsMasterClassTopicsArtificial IntelligenceB2BBankingCredit UnionsConnected CarsCross-Border PaymentsCybersecurityDigital IdenityGig EconomyHealthcare PaymentsInternet of ThingsOpen BankingReal-Time PaymentsRestaurant TechnologyRetailTravel PaymentsSubscribe Sections Today’s NewsRetailB2BOPINIONReport Store®STUDIESTRACKERS®PodcastsMASTERCLASSTopics Row OneArtificial IntelligenceB2BBankingRow TwoCredit UnionsConnected CarsCross-Border PaymentsRow ThreeCybersecurityDigital IdentityGig EconomyRow FourHealthcare PaymentsInternet of ThingsOpen BankingRow FiveReal-Time PaymentsRestaurant TechnologyRetailRow SixTravel Payments Spend ManagementDeep Dive: How AI Streamlines Expense Reporting For Field Workers By PYMNTS Posted on March 5, 2020 Share Tweet Share Share Share Print Email High-end yoga apparel purchases and private helicopter rides are two charges one might expect executives to make on their personal credit cards, but a recent report from software company AppZen found that employees have actually tried to expense each to their companies. Such expenditures share something aside from dubious professional legitimacy: They were uncovered by artificial intelligence (AI). AppZen’s enterprise clients shared anonymized data on thousands of expense reports, and the firm used its AI-powered platform to uncover expenses that deviated from company policies.AI and machine learning (ML) minimize fraud and lost funds, highlighting expenses that slip past manual reporting services. The report found that enterprise companies were able to review just 2 percent to 10 percent of the reports they collected without the help of AI, yet the software flagged nearly 9 percent of all employee-submitted expenses, drawing financial managers’ attention to potential abuses. AI also allowed employees to more quickly evaluate these reports, saving time and energy. Manual processing can cost companies approximately $7.50 per individual invoice, but automation can reduce this to $1.25.The information-heavy nature of expense reports can also deter workers from requesting reimbursements, however. Many employees will simply absorb the costs of a $20 lunch rather than rifle through stacks of paperwork for the necessary documents. This can be detrimental to their finances and workplace productivity, and can also stoke needless frustrations with employers.Automating this process can drastically reduce the hours employees must spend to complete their expense reports — a benefit for all involved parties. One company even claims that automation has decreased its workers’ time on these tasks by 90 percent since 2011. AI- and ML-powered reporting solutions ferret out fraudulent or noncompliant expenses for employers, in addition to drastically cutting employees’ time and effort in submitting reports.High-risk or potentially fraudulent expenses represent money lost for companies regardless of employees’ intentions, and the cost of manually reviewing and processing these documents and invoices — and covering employees’ and contractors’ bills when they fail to make cost-effective purchasing decisions — remains high for those who have not upgraded their software to include such tools.AI Expense Reporting Goes Mobile Automated solutions both reduce costs and teach employees which expenses are acceptable. Private helicopter trips are an extreme example, but they reflect the complexity of expense guidelines and reporting, something companies and their workers have struggled with for decades.Expense budgets can be messy. Construction crews might need to hastily purchase tarps and other supplies to secure sites ahead of approaching storms, for example, or event sales teams may need to furnish extra seating for last-minute guest list additions. More serious emergencies like natural disasters may occur as well, leaving less documentation as to where the money went. All such scenarios can challenge workers who are tasked with ensuring that expensed items fall within their companies’ internal guidelines.Such employees must wade through giant binders documenting their firms’ processes to understand what can be expensed — an often confusing and frustrating experience for both them and their financial managers. AI- and ML-based solutions seem tailored to solve this problem, neatly categorizing receipts and creating equally simple reports for financial managers to read.Automation can also save these firms money: One study claims it can save approximately $23 per report. These large savings especially impact smaller firms that lack the budgets for large financial management teams.AI and ML can also be applied to tools like mobile apps, which can support workers in adding necessary, in-the-moment information to their reports.Employees can use specialized smartphone apps to take pictures of their receipts and extract information such as location and time for expense reporting. One software-as-a-service (SaaS) solutions provider is even incorporating AI-based technology capable of reading handwritten receipts, exceeding the expected technological limits where automated algorithms simply sort through documents. The program can read through and categorize captured receipts without manual input, previewing how AI could work for all expenses in the future. The technology could save human employees approximately 10,000 hours of work, according to one analysis, providing significant — though yet unquantified — financial savings. Just hastening the process of loading paperwork into firms’ databases can significantly impact costs.However, while they are already proving to be useful as expense tools, AI- and ML-based software still needs to be trained. Both must be taught to recognize important data on receipts or financial documents and ignore useless information.AI and Its SMB BenefitsAutomated technologies can especially benefit SMBs, which tend to rely on human employees’ manual efforts to sort through trips and financial documents. Humans cannot find patterns as quickly as AI, leading to incorrect expense reimbursement, among other problems. Such errors account for 14 percent of corporate fraud, for example, motivating companies to tap automated tools with superior pattern recognition.Firms are releasing AI-based tools to help these entities: U.S. Bank unveiled such an app in May of 2019 that, when used in conjunction with its virtual card offerings, enables users to document expenses with their phones. An AI-enabled assistant asks questions to guide workers through the report-filing process, confirming lunch meeting attendance and flagging purchases that exceed approved limits or violate company policies.And AI- and ML-powered spend management innovations can do more than improve efficiency and compliance — they can profoundly build worker satisfaction by making expense reporting more cost-effective, personalized and satisfying. This includes simplifying experiences before expenses are even reported. Firms could use AI to time airline ticket purchases by learning frequent travelers’ preferences and making recommendations for the lowest possible prices, for example. Such solutions could save finance managers up to 530 hours annually, according to one report on the U.K.’s expense industry, with yearly savings reaching approximately $31,653 just from reducing the time spent working.Automation means business owners and accountants can allocate less time to reviewing and processing expense reports while knowing that AI-powered systems will flag potentially problematic transactions. The technology can also remove looming paperwork from the picture, helping workers focus on their assignments in the field.——————————–
Exclusive PYMNTS Report:
B2B APIs aren’t just for large enterprises anymore — middle-market firms and SMBs now realize their potential for enabling low-cost access to real-time payments and account data. But those capabilities are only the tip of the API iceberg, says HSBC global head of liquidity and cash management Diane Reyes. In the March 2020 B2B API Tracker, Reyes explains how the next wave of banking APIs could fight payments fraud and proactively alert middle-market treasurers to investment opportunities.
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Verifying Digital Identity In The Sharing EconomyX-BORDER PAYMENTS OPTIMIZATIONMONTHLY TRACKERS®AML/KYCAutomated RetailB2B APIB2B eCommerceBuy Now Pay LaterCall Center CommerceCredit UnionDigital BankingDIGITAL CONSUMER ONBOARDINGDigital FraudDigital IdentityDigital-First BankingDisbursementsFaster PaymentsFraud Decisioning PlaybookGig EconomyGlobal Recurring PaymentsIntelligence of ThingsMerchants Guide To Navigating Global Payments RegulationsMobile Order-AheadmPOSNext Gen AP AutomationNext-Gen DebitNext-Gen PaymentsNext-Gen Sales TaxOrder To EatSmarter PaymentsSubscription CommerceWorkforce SpendNEWSToday's NewsEditor’s PicksRetailB2BOpinion VIDEOSMasterclassPayologyNews Cross-Border Payments Artificial Intelligence PODCASTS SUBSCRIBEMainB2BRetail PARTNERSHIPS SubscribeAboutWork With UsTerms & ConditionsPrivacy PolicyContact© 2020 What’s Next Media and Analytics | How AI Streamlines Expense Reporting | How AI Streamlines Expense Reporting Todays NewsRetailB2BOpinionEditors PicksReport StoreStudiesTrackersPodcastsMasterClassTopicsArtificial IntelligenceB2BBankingCredit UnionsConnected CarsCrossBorder PaymentsCybersecurityDigital IdenityGig EconomyHealthcare PaymentsInternet ThingsOpen BankingRealTime PaymentsRestaurant TechnologyRetailTravel Payments Sections Todays NewsRetailB2BOPINIONReport StoreSTUDIESTRACKERSPodcastsMASTERCLASSTopics Row OneArtificial IntelligenceB2BBankingRow TwoCredit UnionsConnected CarsCrossBorder PaymentsRow ThreeCybersecurityDigital IdentityGig EconomyRow FourHealthcare PaymentsInternet ThingsOpen BankingRow FiveRealTime PaymentsRestaurant TechnologyRetailRow SixTravel Payments Spend ManagementDeep Dive: How AI Streamlines Expense Reporting For Field Workers By PYMNTS Posted March 5, 2020 Share Tweet Share Share Share Print Email Highend yoga apparel purchases private helicopter rides charges expect executives personal credit cards, recent report software company AppZen employees actually tried expense companies. Such expenditures share aside dubious professional legitimacy: They uncovered artificial intelligence AI. AppZens enterprise clients shared anonymized data thousands expense reports, firm AIpowered platform uncover expenses deviated company policies.AI machine learning ML minimize fraud lost funds, highlighting expenses slip past manual reporting services. The report enterprise companies able review 2 percent 10 percent reports collected help AI, software flagged nearly 9 percent employeesubmitted expenses, drawing financial managers attention potential abuses. AI allowed employees quickly evaluate reports, saving time energy. Manual processing cost companies approximately 7.50 individual invoice, automation reduce 1.25.The informationheavy nature expense reports deter workers requesting reimbursements, however. Many employees simply absorb costs 20 lunch rifle stacks paperwork necessary documents. This detrimental finances workplace productivity, stoke needless frustrations employers.Automating process drastically reduce hours employees spend complete expense reports benefit involved parties. One company claimsthat automation decreased workers time tasks 90 percent 2011. AI MLpowered reporting solutions ferret fraudulent noncompliant expenses employers, addition drastically cutting employees time effort submitting reports.Highrisk potentially fraudulent expenses represent money lost companies regardless employees intentions, cost manually reviewing processing documents invoices covering employees contractors bills fail costeffective purchasing decisions remains high upgraded software include tools.AI Expense Reporting Goes MobileAutomated solutions reduce costs teach employees expenses acceptable. Private helicopter trips extreme example, reflect complexity expense guidelines reporting, companies workers struggled decades.Expense budgets messy. Construction crews need hastily purchase tarps supplies secure sites ahead approaching storms, example, event sales teams need furnish extra seating lastminute guest list additions. More emergencies like natural disasters occur well, leaving documentation money went. All scenarios challenge workers tasked ensuring expensed items fall companies internal guidelines.Such employees wade giant binders documenting firms processes understand expensed confusing frustrating experience financial managers. AI MLbased solutions tailored solve problem, neatly categorizing receipts creating equally simple reports financial managers read.Automation save firms money: One study claims save approximately 23 report. These large savings especially impact smaller firms lack budgets large financial management teams.AI ML applied tools like mobile apps, support workers adding necessary, inthemoment information reports.Employees use specialized smartphone apps pictures receipts extract information location time expense reporting. One softwareasaservice SaaS solutions provider incorporating AIbased technology capable reading handwritten receipts, exceeding expected technological limits automated algorithms simply sort documents. The program read categorize captured receipts manual input, previewing AI work expenses future. The technology save human employees approximately 10,000 hours work, according analysis, providing significant unquantified financial savings.Just hastening process loading paperwork firms databases significantly impact costs.However, proving useful expense tools, AI MLbased software needs trained. Both taught recognize important data receipts financial documents ignore useless information.AI Its SMB BenefitsAutomated technologies especially benefit SMBs, tend rely human employees manual efforts sort trips financial documents. Humans patterns quickly AI, leading incorrect expense reimbursement, problems. Such errors account 14 percent corporate fraud, example, motivating companies tap automated tools superior pattern recognition.Firms releasing AIbased tools help entities: U.S. Bank unveiled app May 2019 that, conjunction virtual card offerings, enables users document expenses phones. An AIenabled assistant asks questions guide workers reportfiling process, confirming lunch meeting attendance flagging purchases exceed approved limits violate company policies.And AI MLpowered spend management innovations improve efficiency compliance profoundly build worker satisfaction making expense reporting costeffective, personalized satisfying. This includes simplifying experiences expenses reported. Firms use AI time airline ticket purchases learning frequent travelers preferences making recommendations lowest possible prices, example. Such solutions save finance managers 530 hours annually, according report U.K.s expense industry, yearly savings reaching approximately 31,653 reducing time spent working.Automation means business owners accountants allocate time reviewing processing expense reports knowing AIpowered systems flag potentially problematic transactions. The technology remove looming paperwork picture, helping workers focus assignments field. Exclusive PYMNTS Report: B2B APIs arent large enterprises anymore middlemarket firms SMBs realize potential enabling lowcost access realtime payments account data. But capabilities tip API iceberg, says HSBC global head liquidity cash management Diane Reyes. In March 2020 B2B API Tracker, Reyes explains wave banking APIs fight payments fraud proactively alert middlemarket treasurers investment opportunities. Related Items:AI, automation, compliance, deep dive, expense reporting, fraud, Innovation, Invoices, machine learning, mobile, News, SMB, spend management, Workforce Spend Tracker Share Tweet Share Share Share Print EmailRecommended Wells Fargo Gives Apple Pay Users 5 At ATMs Vehicle Sales Down 80 Pct In China Due To Coronavirus Indias Supreme Court Reverses Ban On Crypto Trading Get hottest stories delivered inbox.Sign Newsletter updates stories viral hits.email:Post navigationWells Fargo Gives Apple Pay Users 5 At ATMsTRENDING RIGHT NOW 4.6K Data DiveData Dive, Big Moves Edition: Walmart, Uber Eats And The US Stock Market 3.3K AmazonAmazon Speeds Up Deliveries In Four Cities 2.9K DeliveryAfrican eComm Firm Taps Local Agents, Businesses To Streamline Logistics 2.8K Security FraudShark Tank Judge Recoups 400K Lost In Phishing Scam 2.5K MarketsTrading App Robinhood Sees Large Outage 2.5K Partnerships AcquisitionsFiserv Acquires MerchantPro Express 2.4K InnovationClinc Teams With Visa To Bring Digital Banking Tech To FIs 2.4K DeliveryDHL: What Happens When Robots Run The Warehouse 2.3K Buy Now Pay LaterSplitit Teams With Visa For BNPL Payments 2.3K B2B PaymentsZylo, vCom Team Up For Enterprise Software Spend Management 2.2K InnovationMastercard On Accelerating Growth Between FinTechs And FIs To Foster Ecosystem Collaboration 2.2K B2B PaymentsRipple Powers XBorder Corporate Payments For UAE Bank 2.2K RegulationNJ Legislators Propose Tighter Data Privacy Regulations 2.2K LegalNYC Sues Airbnb Listing Co In Bid To Stop ShortTerm Rentals 2.2K Partnerships AcquisitionsEBay Wants To Sell Off S Korean Unit FEATURED STUDIESAI InnovationB2B PAYMENTS TIPPING POINTBridging The Gap: Mobile Card App Adoption ReportBuy ButtonCheckout Conversion IndexCommerce ConnectedConnected ConsumerConsumerCentric AuthenticationCredit Union InnovationDIGITAL CONSUMERDigital DriveDIGITAL IDENTITY LIFESTYLE CAPSULEDisbursement SatisfactionENTERPRISE RETAIL GROCERYFinancial Invisibles ReportGig EconomyGLOBAL CASHGLOBAL FRAUDGlobal Payments InnovationHEALTHCARE PAYMENTSHow Consumers Pay For Elective Medical ProceduresHOW WE WILL PAYInnovating Order CashInnovation ReadinessJust Tap To PayKiosk RetailLuxury TravelMaking Instant Pay GlobalMobile Card ServicesOmni Security AuthenticationOMNI USAGEPay AdvancesPayables FrictionPAYING AT THE PUMPPayments 2022Payments And The Platform EconomyRemote PaymentsRESTAURANT READINESSRetail Innovation ReadinessRetail Product InsuranceSimplifying CrossBorder PaymentsState And Local Government DisbursementsSubscription Commerce ConversionThe Future Unattended RetailJust Connect To PayJust Say To PayKey Optimizing Merchant ServicesMaking RealTime Payments RealitySCA ImpactSmall Business Guide To Rapid SettlementSMB Receivables GapTRAVEL PAYMENTSTuition PaymentsVIRTUAL REALITY IN RETAILWhere Will We Bank Next?Which Apps Do They Want?Who Are You? Verifying Digital Identity In The Sharing EconomyXBORDER PAYMENTS OPTIMIZATIONMONTHLY TRACKERSAMLKYCAutomated RetailB2B APIB2B eCommerceBuy Now Pay LaterCall Center CommerceCredit UnionDigital BankingDIGITAL CONSUMER ONBOARDINGDigital FraudDigital IdentityDigitalFirst BankingDisbursementsFaster PaymentsFraud Decisioning PlaybookGig EconomyGlobal Recurring PaymentsIntelligence ThingsMerchants Guide To Navigating Global Payments RegulationsMobile OrderAheadmPOSNext Gen AP AutomationNextGen DebitNextGen PaymentsNextGen Sales TaxOrder To EatSmarter PaymentsSubscription CommerceWorkforce SpendNEWSTodays NewsEditors PicksRetailB2BOpinion VIDEOSMasterclassPayologyNews CrossBorder Payments Artificial Intelligence PODCASTS SUBSCRIBEMainB2BRetail PARTNERSHIPS AboutWork With UsTerms Conditions 2020 Whats Next Media Analytics | 2,020 | [
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https://venturebeat.com/2020/08/20/google-pixel-buds-tap-ai-to-alert-users-to-sirens-crying-babies-and-barking-dogs/ | 2020-08-20T00:00:00 | en | Google Pixel Buds tap AI to alert users to sirens, crying babies, and barking dogs | VentureBeat |
Google Pixel Buds tap AI to alert users to sirens, crying babies, and barking dogs | VentureBeat
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Google Pixel Buds tap AI to alert users to sirens, crying babies, and barking dogs
Khari Johnson@kharijohnson August 20, 2020 8:00 AM
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Google Pixel BudsImage Credit: Khari Johnson / VentureBeat
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Google Pixel Buds can now alert you to the sounds of a crying baby, barking dog, or the siren of an emergency vehicle when you’re listening to something and may not otherwise hear the sound. The feature reduces the volume of whatever music or podcast you’re listening to and plays a chime sound to signal an alert. Attention Alerts is part of an AI-powered experimental feature being added to Google’s flagship earbuds today in a larger firmware update.
Google trained AI systems to recognize the trio of sounds by scraping audio from publicly available videos, a company spokesperson told VentureBeat.
Amazon’s Echo speakers have the ability to detect sounds that may be important in a home setting, like alarms, breaking glass, or sounds indicating someone is in your home when you’re away.
Pixel Buds are also getting a more powerful way to translate languages today. They are now able to use Transcribe mode on Google Translate with a voice command, starting with English translations for French, German, Italian, and French speakers. Google also introduced voice commands to turn off earbud touch control and check earbud battery levels today. Conversation mode translations can be helpful, but since they only last a few seconds, they’re not always practical in an actual conversation, where people can speak uninterrupted for longer periods of time. A Google spokesperson told VentureBeat that Transcribe supports listening for up to a couple of hours. Transcribe mode for the Google Translate app launched in March.
Also new today is a feature that recognizes when you’re sharing an earbud with another person. And you can now use Find My Device to get the last known location of your Pixel Buds. Features like the ability to lower volume in loud places, Attention Alerts, and extensive translations are powered by a series of microphones on the exterior of each earbud.
Google made Pixel Buds 2 available for $179 in April. To justify a price tag slightly higher than that of other popular choices, like Samsung Galaxy Buds or Apple AirPods, Pixel Buds launched with unique features, such as the ability to automatically turn up the volume when the surrounding environment gets noisy, hands-free access to Google Assistant, and conversation mode to power quick translations.
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| Google Pixel Buds tap AI to alert users to sirens, crying babies, and barking dogs | Google Pixel Buds tap AI alert users sirens, crying babies, barking dogs VentureBeat VentureBeat Home The Machine GamesBeat Jobs Special Issue Become Member Log Out VentureBeat Home The Machine Making sense AI VentureBeat ARVR Big Data Cloud Commerce Dev Enterprise Entrepreneur Marketing Media Mobile Security Social Transportation The Machine AI Machine Learning Computer Vision Natural Language Processing Robotic Process Automation GamesBeat Games Esports PC Gaming Events Upcoming Transform Media Partner Webinars General Newsletters Got news tip? Advertise Press Releases Guest Posts Deals Jobs VB Lab About Join VentureBeat Community Share Share Facebook Share Twitter Share LinkedIn Profile Log Out VentureBeat Home Social Links Newsletters Events Profile Google Pixel Buds tap AI alert users sirens, crying babies, barking dogs Khari Johnson August 20, 2020 8:00 AM AI Share Facebook Share Twitter Share LinkedIn Google Pixel BudsImage Credit: Khari Johnson VentureBeat Automation Jobs Read latest special issue. Open Now Google Pixel Buds alert sounds crying baby, barking dog, siren emergency vehicle youre listening hear sound. The feature reduces volume music podcast youre listening plays chime sound signal alert. Attention Alerts AIpowered experimental feature added Googles flagship earbuds today larger firmware update. Google trained AI systems recognize trio sounds scraping audio publicly available videos, company spokesperson told VentureBeat. Amazons Echo speakers ability detect sounds important home setting, like alarms, breaking glass, sounds indicating home youre away. Pixel Buds getting powerful way translate languages today. They able use Transcribe mode Google Translate voice command, starting English translations French, German, Italian, French speakers. Google introduced voice commands turn earbud touch control check earbud battery levels today. Conversation mode translations helpful, seconds, theyre practical actual conversation, people speak uninterrupted longer periods time. A Google spokesperson told VentureBeat Transcribe supports listening couple hours. Transcribe mode Google Translate app launched March. Also new today feature recognizes youre sharing earbud person. And use Find My Device known location Pixel Buds. Features like ability lower volume loud places, Attention Alerts, extensive translations powered series microphones exterior earbud. Google Pixel Buds 2 available 179 April. To justify price tag slightly higher popular choices, like Samsung Galaxy Buds Apple AirPods, Pixel Buds launched unique features, ability automatically turn volume surrounding environment gets noisy, handsfree access Google Assistant, conversation mode power quick translations. Score lifetime access stock image library 29 Boost productivity 9 hot deals entrepreneurs You score lifetime cloud backup 50 right This Microsoft Excel training bundle 34 right Store 5TB data cloud life 80 Get Sams Club membership free today 7 deals gaming enthusiasts wont want miss Redefine remote work massive power bank Learn character drawing Marvel DreamWorks artists training Make presentation pop premium illustration builder View deals store Review Logitech G Pro X Wireless headset review Small sacrifices eliminate cable Jeff Grubb August 19, 2020 11:31 AM Xmems Montara replaces wirecoil earbud speakers tiny audio chips Dean Takahashi July 7, 2020 6:00 AM VentureBeat Home The Machine Follow Facebook Follow Twitter Follow LinkedIn Follow RSS VB Lab Newsletters Events Deals Jobs About Careers 2020 VentureBeat. . | 2,020 | [
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https://crypto-daily.news/uncategorized/516934/latest-update-2020-artificial-intelligence-and-machine-learning-market-by-covid19-impact-analysis-and-top-manufacturers-aibrain-amazon-anki-cloudminds-deepmind-etc-inforgrowth/ | 2020-10-03T00:00:00 | en | Latest Update 2020: Artificial Intelligence and Machine Learning Market by COVID19 Impact Analysis And Top Manufacturers: AIBrain, Amazon, Anki, CloudMinds, Deepmind, etc. | InForGrowth – Crypto Daily |
Latest Update 2020: Artificial Intelligence and Machine Learning Market by COVID19 Impact Analysis And Top Manufacturers: AIBrain, Amazon, Anki, CloudMinds, Deepmind, etc. | InForGrowth – Crypto Daily
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Global Artificial Intelligence and Machine Learning industry report about In-depth Research, estimates Revenue, and forecasts Growth Details in segments, regional, and research scope, historical data, Key Player and Growth Value.
The Global Artificial Intelligence and Machine Learning Market 2020 analysis provides a basic summary of the trade as well as definitions, classifications, applications and business chain structure. The worldwide Artificial Intelligence and Machine Learning marketing research is provided for the international markets together with development trends, competitive landscape analysis, and key regions development standing. Development policies and plans are mentioned similarly as producing processes and value structures are analyzed. This report additionally states import/export consumption, supply and demand Figures, cost, price, revenue, and gross margins.
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Impact of COVID-19: Artificial Intelligence and Machine Learning Market report analyses the impact of Coronavirus (COVID-19) on the Artificial Intelligence and Machine Learning industry. Since the COVID-19 virus outbreak in December 2019, the disease has spread to almost 180+ countries around the globe with the World Health Organization declaring it a public health emergency. The global impacts of the coronavirus disease 2019 (COVID-19) are already starting to be felt, and will significantly affect the Artificial Intelligence and Machine Learning market in 2020.
The outbreak of COVID-19 has brought effects on many aspects, like flight cancellations; travel bans and quarantines; restaurants closed; all indoor events restricted; emergency declared in many countries; massive slowing of the supply chain; stock market unpredictability; falling business assurance, growing panic among the population, and uncertainty about future.
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This Market Study covers the Artificial Intelligence and Machine Learning Market Size across segments. It aims at estimating the market size and the growth potential of the market across segments by component, data type, deployment type, organization size, vertical, and region. This Artificial Intelligence and Machine Learning study also includes an in-depth competitive analysis of the key market players, along with their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.
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Attributes such as new development in Artificial Intelligence and Machine Learning market, Total Revenue, sales, annual production, government norm, and trade barriers in some countries are also mentioned in detail in the report. Artificial Intelligence and Machine Learning Report discusses about recent product innovations and gives an overview of potential regional market shares.
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The report offers market sizing and growth prospects of the Artificial Intelligence and Machine Learning market for the forecast period 2019–2026.
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| Latest Update 2020: Artificial Intelligence and Machine Learning Market by COVID19 Impact Analysis And Top Manufacturers: AIBrain, Amazon, Anki, CloudMinds, Deepmind, etc. | Latest Update 2020: Artificial Intelligence Machine Learning Market COVID19 Impact Analysis And Top Manufacturers: AIBrain, Amazon, Anki, CloudMinds, Deepmind, etc. InForGrowth Crypto Daily Skip content Menu Energy News Space Top stories for: Crypto Daily Menu Energy News Space Top stories for: Flash News Process Safety Services Market 20202026 Comprehensive Study COVID19 Impact Analysis Worldwide Key Players: Honeywell Process Solutions, RRC International, ABB, Bureau Veritas, HIMA Paul Hildebrandt, etc. InForGrowth Uninterrupted Power Supply UPS Systems Market Size Current Future Industry Trends, 20202028 Global Medical Claims Management Solutions Market 20202026 Latest COVID19 Impact Analysis Know About Brand Players: IBM, Cerner, Oracle, Avaya, Genpact, etc. InForGrowth Righthanded Outswing Commercial Front Entry Door Market Size, Growth, Share Global Industry Analysis Formosa Plastics Group, JeldWen, Pella Corp, Fortune Brands Home Security, Kuiken Brothers Specialty Amines Market Size, Growth, Share Global Industry Analysis Huntsman, Ascend Performance Materials, BorsodChem MCHZ, Arkema Group, Air Products Chemicals Low Molecular Weight Heparin LMWHs Market Size, Growth, Share Global Industry Analysis Aspen, Sanofiaventis, Pfizer, Opocrin, CSBIO Omega3 Supplements Market Size, Growth, Share Global Industry Analysis Nutrigold , Reckitt Benckiser Group plc, Nordic Naturals , Pharma Nord B.V, Now Foods Auto Detailing Accessories Market Size, Growth, Share Global Industry Analysis Meguiar, Wheel Woolies, DeWalt, Adams, 3M Yaw System Market Flourish With An Impressive CAGR BY 20202028 Medical Linear Accelerator Market Size, Growth, Share Global Industry Analysis Fresenius, Nikkiso, Diaverum?Gambro?, Asahi Kasei, Nipro Saturday, October 03, 2020 Top stories Latest Update 2020: Artificial Intelligence Machine Learning Market COVID19 Impact Analysis And Top Manufacturers: AIBrain, Amazon, Anki, CloudMinds, Deepmind, etc. InForGrowth basavraj.t October 3, 2020 Global Artificial Intelligence Machine Learning industry report Indepth Research, estimates Revenue, forecasts Growth Details segments, regional, research scope, historical data, Key Player Growth Value. The Global Artificial Intelligence Machine Learning Market 2020 analysis provides basic summary trade definitions, classifications, applications business chain structure. The worldwide Artificial Intelligence Machine Learning marketing research provided international markets development trends, competitive landscape analysis, key regions development standing. Development policies plans mentioned similarly producing processes value structures analyzed. This report additionally states importexport consumption, supply demand Figures, cost, price, revenue, gross margins. Premium Insights Artificial Intelligence Machine Learning Market 2020 Market Players PositioningGet Exclusive Sample PDF Copy: Major Classifications Artificial Intelligence Machine Learning Market: Major Key players covered report: AIBrain Amazon Anki CloudMinds Deepmind Google Facebook IBM Iris AI Apple Luminoso Qualcomm . By Product Type: Deep Learning Natural Language Processing Machine Vision Others By Applications: Healthcare BFSI Law Retail Advertising Media Automotive Transportation Agriculture Manufacturing Get Chance 20 Extra Discount, If Company Listed Above Key Players List Impact COVID19:Artificial Intelligence Machine Learning Market report analyses impact Coronavirus COVID19 Artificial Intelligence Machine Learning industry. Since COVID19 virus outbreak December 2019, disease spread 180 countries globe World Health Organization declaring public health emergency. The global impacts coronavirus disease 2019 COVID19 starting felt, significantly affect Artificial Intelligence Machine Learning market 2020. The outbreak COVID19 brought effects aspects, like flight cancellations; travel bans quarantines; restaurants closed; indoor events restricted; emergency declared countries; massive slowing supply chain; stock market unpredictability; falling business assurance, growing panic population, uncertainty future. COVID19 affect global economy 3 main ways: directly affecting production demand, creating supply chain market disturbance, financial impact firms financial markets. Get Sample Table Content PDF COVID19CoronaVirus Impact Analysis Artificial Intelligence Machine Learning Market 2020. This Market Study covers Artificial Intelligence Machine Learning Market Size segments. It aims estimating market size growth potential market segments component, data type, deployment type, organization size, vertical, region. This Artificial Intelligence Machine Learning study includes indepth competitive analysis key market players, company profiles, key observations related product business offerings, recent developments, key market strategies. Industrial Analysis Artificial Intelligence Machine Learning Market: Attributes new development Artificial Intelligence Machine Learning market, Total Revenue, sales, annual production, government norm, trade barriers countries mentioned report. Artificial Intelligence Machine Learning Report discusses recent product innovations gives overview potential regional market shares. Reason purchase Artificial Intelligence Machine Learning market report: The report offers market sizing growth prospects Artificial Intelligence Machine Learning market forecast period 20192026. The report provides capability measure Artificial Intelligence Machine Learning market aim growth upcoming products, pricing strategies, predictions new launching products. Provides comprehensive insights latest industry trends, market forecast, growth drivers Artificial Intelligence Machine Learning market. The report contains detailed analysis market growth factors, market drivers, challenges, investment opportunities. The report delivers complete summary market segments, subsegments regional outlook market. Offers exhaustive summary vendor landscape, competitive analysis, key market strategies gain competitive advantage Artificial Intelligence Machine Learning market. Deliver region wise countrywise detailed accurate information Artificial Intelligence Machine Learning Market. FOR ALL YOUR RESEARCH NEEDS, REACH OUT TO US AT:Address: 6400 Village Pkwy suite 104, Dublin, CA 94568, USA Name: Rohan S.Email:[emailprotected]Phone: 19093292808UK: 44 203 743 1898 Artificial Intelligence Machine LearningArtificial Intelligence Machine Learning IndustryArtificial Intelligence Machine Learning Market Post navigation Global Agriculture Testing Monitoring Equipment Market 2020 Recovering From Covid19 Outbreak Know About Brand Players: Agribotix US, AquaSpy US, Crop Metrics US, Edyn US, Granular US, etc. InForGrowthGlobal Nanoscale Smart Materials Market Potential Growth, Share, Size, Revenue, Demand Analysis Key Players Research Forecasts 2027 for: Recent Posts Process Safety Services Market 20202026 Comprehensive Study COVID19 Impact Analysis Worldwide Key Players: Honeywell Process Solutions, RRC International, ABB, Bureau Veritas, HIMA Paul Hildebrandt, etc. InForGrowth Uninterrupted Power Supply UPS Systems Market Size Current Future Industry Trends, 20202028 Global Medical Claims Management Solutions Market 20202026 Latest COVID19 Impact Analysis Know About Brand Players: IBM, Cerner, Oracle, Avaya, Genpact, etc. InForGrowth Righthanded Outswing Commercial Front Entry Door Market Size, Growth, Share Global Industry Analysis Formosa Plastics Group, JeldWen, Pella Corp, Fortune Brands Home Security, Kuiken Brothers Specialty Amines Market Size, Growth, Share Global Industry Analysis Huntsman, Ascend Performance Materials, BorsodChem MCHZ, Arkema Group, Air Products Chemicals Archives October 2020 September 2020 August 2020 Categories Energy News Space Top stories Meta Log Entries feed Comments feed Proudly powered WordPress Theme: TimesNews By . 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] | 1 | POSITIVE | 44 |
https://technews.mobi/all-news/2020/03/02/artificial-intelligence-ai-as-a-service-market-size-share-trends-and-future-growth-predictions-and-forecast-2020-2025/ | 2020-03-02T00:00:00 | en | Artificial Intelligence (AI) As a Service Market Size, Share, Trends and Future Growth Predictions and Forecast 2020 – 2025 – TechNews.mobi Market Reports |
Artificial Intelligence (AI) As a Service Market Size, Share, Trends and Future Growth Predictions and Forecast 2020 – 2025 – TechNews.mobi Market Reports
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Artificial Intelligence (AI) As a Service Market Size, Share, Trends and Future Growth Predictions and Forecast 2020 – 2025
By anita
Published March 2, 2020
All News, Market Reports, News
The report covers complete analysis of the Global Artificial Intelligence (AI) As a Service Market on the basis of regional and global level. The report comprises several drivers and restraints of the Global Artificial Intelligence (AI) As a Service Market. Likewise, it covers the complete segmentation analysis such as type, application, and region. This report provides Artificial Intelligence (AI) As a Service Market key Manufactures, industry chain analysis, competitive insights, and macroeconomic analysis. Global Artificial Intelligence (AI) As a Service Market report provides the latest forecast market data, industry trends, and technological innovations. The in-depth view of Global Artificial Intelligence (AI) As a Service Market industry on the basis of market size, market growth, opportunities, and development plans offered by the report analysis. The forecast information, SWOT analysis, and feasibility study are the energetic aspects studied in this report. Along with that PESTEL analysis is also considered to be another major aspect in the market study.
This study covers following key players:
Google
Amazon web services
IBM
Microsoft
SAP
Salesforce
Intel
Baidu
FICO
SAS
BigML
Request a sample of this report @ https://www.orbismarketreports.com/sample-request/58819?utm_source=Yogi
For the study of the Artificial Intelligence (AI) As a Service Market is very important the past statistics. So, the Global Artificial Intelligence (AI) As a Service Market gives the in-depth analysis of the past records along with the predicted future data. One of the most important aspects focused in this study is the regional analysis. Regional breakdown of markets helps in thorough analysis of the market in terms of future predictions, business opportunities and revenue generation potential of the market. For Artificial Intelligence (AI) As a Service Market report, the important regions highlighted are Middle East, South America, Asia, North America and Europe. Another important aspect of every market research report is the study of the key players or manufacturers driving the market forward. This study can benefit investors and business owners in many ways. In order to make business predictions and fetch good results, business models, strategies, growth, innovations and every information about manufacturers that can help are studied by it. Making right business decisions is an undeniable measure that needs to be taken for market growth. There are manufacturers, vendors and consumers in every that defines that market. These marketers become the subject to study for every stakeholder and market researcher.
Market segment by Type, the product can be split into
Software
Services
Access Complete Report @ https://www.orbismarketreports.com/global-artificial-intelligence-ai-as-a-service-market-size-status-and-forecast-2019-2025?utm_source=Yogi
This report on Artificial Intelligence (AI) As a Service Market also has the market analyzed on the basis of end user applications and type. End user application analysis can also help understand consumer behavior. It’s important to study product application to predict a product’s life cycle. Segment type is also an important aspect of any market research study. Reports are product based, they also includes information on sales channel, distributors, traders and dealers. This helps in efficient planning and execution of supply chain management as it drastically affects the overall operations of any business. Thus, a market research report can be called a comprehensive guide that helps in better marketing and management of businesses.
Market segment by Application, split into
Banking, Financial Services, and Insurance
Healthcare and Life Sciences
Retail
Telecommunication
Government and Defense
Manufacturing
Energy
For Enquiry before buying report @ https://www.orbismarketreports.com/enquiry-before-buying/58819?utm_source=Yogi
Some TOC Points:
1 Report Overview
2 Global Growth Trends
3 Market Share by Key Players
4 Breakdown Data by Type and Application
…Continued
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| Artificial Intelligence (AI) As a Service Market Size, Share, Trends and Future Growth Predictions and Forecast 2020 | Artificial Intelligence AI As Service Market Size, Share, Trends Future Growth Predictions Forecast 2020 2025 TechNews.mobi Market Reports Skip content TechNews.mobi Market Reports Reporting Technology Market Space Electric News NASA Satellite Climate Market Forecast Industry Analysis Market Reports Us Space Electric News NASA Satellite Climate Market Forecast Industry Analysis Market Reports Us Artificial Intelligence AI As Service Market Size, Share, Trends Future Growth Predictions Forecast 2020 2025 By anita Published March 2, 2020 All News, Market Reports, News The report covers complete analysis Global Artificial Intelligence AI As Service Market basis regional global level. The report comprises drivers restraints Global Artificial Intelligence AI As Service Market. Likewise, covers complete segmentation analysis type, application, region. This report provides Artificial Intelligence AI As Service Market key Manufactures, industry chain analysis, competitive insights, macroeconomic analysis. Global Artificial Intelligence AI As Service Market reportprovides latest forecast market data, industry trends, technological innovations. The indepth view Global Artificial Intelligence AI As Service Market industry basis market size, market growth, opportunities, development plans offered report analysis. The forecast information, SWOT analysis, feasibility study energetic aspects studied report. Along PESTEL analysis considered major aspect market study. This study covers following key players: Google Amazon web services IBM Microsoft SAP Salesforce Intel Baidu FICO SAS BigML Request sample report @ For study Artificial Intelligence AI As Service Market important past statistics. So, Global Artificial Intelligence AI As Service Market gives indepth analysis past records predicted future data. One important aspects focused study regional analysis. Regional breakdown markets helps thorough analysis market terms future predictions, business opportunities revenue generation potential market. For Artificial Intelligence AI As Service Market report, important regions highlighted Middle East, South America, Asia, North America Europe. Another important aspect market research report study key players manufacturers driving market forward. This study benefit investors business owners ways. In order business predictions fetch good results, business models, strategies, growth, innovations information manufacturers help studied it. Making right business decisions undeniable measure needs taken market growth. There manufacturers, vendors consumers defines market. These marketers subject study stakeholder market researcher. Market segment Type, product split Software Services Access Complete Report @ This report Artificial Intelligence AI As Service Market market analyzed basis end user applications type. End user application analysis help understand consumer behavior. Its important study product application predict products life cycle. Segment type important aspect market research study. Reports product based, includes information sales channel, distributors, traders dealers. This helps efficient planning execution supply chain management drastically affects overall operations business. Thus, market research report called comprehensive guide helps better marketing management businesses. Market segment Application, split Banking, Financial Services, Insurance Healthcare Life Sciences Retail Telecommunication Government Defense Manufacturing Energy For Enquiry buying report @ Some TOC Points: 1 Report Overview 2 Global Growth Trends 3 Market Share Key Players 4 Breakdown Data Type Application Continued : With unfailing market gauging skills, excelling curating tailored business intelligence data industry verticals. Constantly thriving expand skill development, strength lies dedicated intellectuals dynamic problem solving intent, willing mold boundaries scale heights market interpretation. Us: Hector Costello Senior Manager Client Engagements 4144N Central Expressway, Suite 600, Dallas, Texas 75204, U.S.A. Phone No.: USA: 1 9723628199 IND: 91 895 659 5155 Author Recent Posts anita Latest posts anita Event Registration Ticketing Software Market Outlooks 2020: Market Analysis, Size, Share, Demand, Market Shares, Growth rate Forecasts 2025 March 2, 2020 Sales Analytics Software Market 2020 Outlook: Global Industry Insights, Statistics, Shares Forecasts 2025 March 2, 2020 Salesforce CRM Document Generation Software Market 2020 Research Report Analysis, Size, Share, Development, Trends Forecast 2025 March 2, 2020 Post navigation AccountBased Reporting Software Market 2020 Analysis By Growth Rate, Key Drivers, Restraints, Future Trends, Opportunities, And Challenges Till 2025Microbial Technology Product Market Business Overview, Challenges, Opportunities, Trends Market Analysis By 2025 for: Publication Information Us Our Writers Recent Posts Structural Sealants Market To Grow Significantly From 2020 To 2026, North America To Be Major Revenue Contributor Carrageenan Gum Market Report Focusing Current Trends Leading Fortune Companies 2025 Oral Dosing Cups Market: Industry Trends Developments 20192025 Pastry Premixes Market Detailed Analytical Overview 2017 2022 High Potential Test Market Revenue Analysis Regions, Types Manufacturers Forecast 2025 2020 TechNews.mobi Market Reports Ezoic review 2020 Massage gun reviews best massage guns | 2,020 | [
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https://www.voanews.com/episode/artificial-intelligence-monitors-and-may-protect-firefighters-4210326 | 2020-03-03T00:00:00 | en | Artificial Intelligence Monitors and May Protect Firefighters | Voice of America - English |
Artificial Intelligence Monitors and May Protect Firefighters | Voice of America - English
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Silicon Valley & Technology
Artificial Intelligence Monitors and May Protect Firefighters
March 03, 2020 06:05 AM
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Firefighters who run into burning buildings or attack wildfires face considerable risks despite their protective gear. Until recent trials in Spain, central command centers had no way to monitor the health of their teams. VOA’s Arash Arabasadi reports that recently changed because of one inventive firefighter and a large cash prize.
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| Artificial Intelligence Monitors and May Protect Firefighters | Artificial Intelligence Monitors May Protect Firefighters Voice America English Skip main content Open main navigation Live TV Full Schedule All Programs Live Radio Full Schedule All Programs United States US Politics Immigration All About America Science Health Silicon Valley Technology World Africa The Americas East Asia Pacific Europe Extremism Watch Middle East South Central Asia VOA News Iran Sections Arts Culture Day Photos Economy Business Press Freedom Plugged Greta Van Susteren VOA StudentU VOA Connect Refugees US News Press Freedom VOA StudentU VOA News Iran VOA News Lang Live TV Live TV Full Schedule All Programs Live Radio Live Radio Full Schedule All Programs English English Learning English learningenglish. Eastern Central Europe Shqip Bosanski ba. gr. mk. Srpski ukrainian. Eurasia Azerbaijani golosameriki.ru Central Asia Ozbek South Asia East Southeast Asia burmese. Bahasa Indonesia khmer. Khmer lao. Ting Vit Africa Afaan Oromoo amharic. Bambara Franais Hausa Kinyarwanda Kirundi Ndebele Portugus Shona Soomaaliga Kiswahili tigrigna. Zimbabwe Middle EastNorth Africa ir. Kurdi Trke Latin America Creole Espaol Silicon Valley Technology Artificial Intelligence Monitors May Protect Firefighters March 03, 2020 06:05 AM Sorry, browser support embedded video type, download video view offline. Embed Copy Firefighters run burning buildings attack wildfires face considerable risks despite protective gear. Until recent trials Spain, central command centers way monitor health teams. VOAs Arash Arabasadi reports recently changed inventive firefighter large cash prize. Share Facebook Share Twitter By Arash Arabasadi Latest Episodes Tue, 03032020 08:30 Coronavirus threatens sides US Mexico border near El Paso Tue, 03032020 06:10 Afghan Women Fear USTaliban Deal Will Lead Backsliding Rights Tue, 03032020 06:08 Pakistan Digital Warrior Begins Helpline Women Danger Tue, 03032020 06:02 Can Russia Turkey Step Brink Syria? Tue, 03032020 05:59 With Nearly 100 Coronavirus Cases, Trump Optimistic Treatment, Prevention Twitter Instagram Facebook YouTube RSS VOA News United States US Politics Immigration All About America Silicon Valley Technology World News Africa The Americas East Asia Pacific Europe Middle East South Central Asia Sections Arts Culture Day Photos Economy Business Extremism Watch Press Freedom Science Health VOA StudentU VOA Connect Refugees Voice America About VOA VOA Terms Use Privacy Notice Get Our Mobile App Usage Requests VOA Around World VOA Pronunciation Guide Media Relations Listen radio Satellite Schedule Our Newsletters | 2,020 | [
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https://www.businessinsider.com/thoughtspot-ceo-ai-cloud-startup-ipo-2021-2020-9 | 2020-09-22T00:00:00 | en | The CEO of ThoughtSpot says the AI startup is eyeing an IPO next year - Business Insider |
The CEO of ThoughtSpot says the AI startup is eyeing an IPO next year - Business Insider
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Enterprise
As hot AI startup ThoughtSpot gears up for an IPO next year, its CEO is already telling employees to prepare for 'good days and bad days' both: 'Don't focus on instant gratification'
Benjamin Pimentel
2020-09-22T13:00:00Z
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ThoughtSpot CEO Sudheesh Nair
ThoughtSpot
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ThoughtSpot CEO Sudheesh Nair said the $2 billion AI data visualization startup is gearing up to go public in 2021 as it rides the wave of strong demand for cloud data storage and analytics, which was highlighted by last week's blockbuster Snowflake IPO.
ThoughtSpot took a step toward that goal on Tuesday when it introduced its first exclusive cloud offering in partnership with cloud giant Amazon. The Silicon Valley company is also on track to hit $100 million in annual recurring revenue this year, he said.
But Nair, who helped lead the successful IPO of infrastructure software maker Nutanix, said it was also important to prepare employees for the pressures of being a public company.
“You become more visible in the world,” he told Business Insider. “You’ve got to figure out how to take the company through good days and bad days. Don't focus on instant gratification."
Visit Business Insider's homepage for more stories.
Snowflake's wildly successful trading debut last week signaled what could be a wave of blockbuster cloud IPOs — and ThoughtSpot, the hot AI startup, is getting ready to join the party.CEO Sudheesh Nair said the fast-growing startup, which uses AI to help businesses analyze and visualize huge amounts of data, is gearing up to go public as early as fall 2021."That is probably the earliest I would say you," he told Business Insider. "It could take another six months from there, but that's when I want the company to be ready."He said ThoughtSpot just took a step toward that goal on Tuesday with the rollout of ThoughtSpot Cloud, its first exclusively cloud product. Most of its clients currently access its software through private networks. Nair said the startup is also hitting other key metrics that he says are setting the stage for ThoughtSpot to go public."This year, we are crossing that hallowed ground of $100 million [in annual recurring revenue]," he said. For a startup offering software-as-a-service, he said, "crossing $100 million earns you the right to go public."Nair said ThoughtSpot has been gearing up for an IPO over the past year. The Silicon Valley company was recently valued at $2 billion and has raised $744 million from investors including Khosla Ventures, Sapphire Ventures, and Lightspeed.In January, the company named Mohit Daswani, a tech industry veteran, as its first chief financial officer, and the CFO admitted that an IPO was coming. "This is a team that wants to have the discipline and rigor of being a public company," he told Business Insider in January. "And so we'll do it. We'll do it when we're ready. We see it as part of our journey ahead."Like other tech companies, ThoughtSpot, which is challenging Salesforce's Tableau in data visualization, has taken a hit from the coronavirus crisis. "The first couple of months were pretty chaotic," Nair said. "But we also saw that every crisis is also an opportunity."
He said his team was particularly focused on ways to "accelerate that transformation to being a cloud company, which allows us to be a serious IPO candidate."ThoughtSpot's cloud offering, which would dramatically cut the time it takes clients to set up its software from weeks to under 30 minutes, also highlights its growing clout in the cloud. Amazon, the most dominant cloud vendor, is its key partner in the new service. But Nair noted that ThoughtSpot also supports other cloud data storage technologies, including Snowflake, Google's Big Query, and Microsoft.This underscores the growing importance of technologies for storing data in the cloud, which propelled Snowflake's rapid growth, and tools that enable companies to access and use the information to run their business."This is a massive space as recently demonstrated by our partner Snowflake this week," Nair said.But while hitting key milestones and being a successful player in a hot tech market are important, there are other critical factors for a startup's successful transition to a publicly-traded company, Nair said.Going public exposes a startup to more intense scrutiny from Wall Street and beyond. It typically leads to heightened pressure on any company even as it grapples with inevitable highs and lows in the market. "You become more visible in the world," Nair said. "There will be good days and bad days. You've got to figure out how to take the company through good days and bad days. Don't focus on instant gratification."
One of the challenges for a newly-public startup is that executives and employees may become unduly influenced by the company's stock price and how it's perceived publicly. The company will need to make sure that its workers don't start thinking "that stock ticker is everything" or that their "self-worth is attached to the stock ticker" once the firm goes public, Nair said. Nair was speaking from experience. "I learned through hard ways because Nutanix," he said. He was one of the early employees of Nutanix, and served as the infrastructure software company's president. After the company went public in 2016, Nutanix continued to grow but it also struggled with challenges that sent its stock on a rollercoaster ride over the past four years. Being too focused on a stock price can give employees a distorted view of how the company is doing, he said. "Your stock ticker is bad, and that means the company is bad?" Nair said. "How can it be? It's the same company, the same people, the same customers. But one day it's good, another day bad."And that's why culture is also important for a startup looking to go public, he said: "You better have a solid foundation of people and culture and set expectations for building a long term, long lasting company."Got a tip about ThoughtSpot, Snowflake or another tech company? Contact this reporter via email at [email protected], message him on Twitter @benpimentel or send him a secure message through Signal at (510) 731-8429. You can also contact Business Insider securely via SecureDrop.Claim your 20% discount on an annual subscription to BI Prime by clicking here.
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| The CEO of ThoughtSpot says the AI startup is eyeing an IPO next year | The CEO ThoughtSpot says AI startup eyeing IPO year Business Insider Business Insider logo The words Business Insider. Close icon Two crossed lines form X. It indicates way close interaction, dismiss notification. Menu icon A vertical stack evenly spaced horizontal lines. icon A magnifying glass. It indicates, Click perform search. Account icon An icon shape persons head shoulders. It indicates user profile. Account icon An icon shape persons head shoulders. It indicates user profile. Business Insider logo The words Business Insider. Account icon An icon shape persons head shoulders. It indicates user profile. BI Prime Intelligence Account icon An icon shape persons head shoulders. It indicates user profile. Account icon An icon shape persons head shoulders. It indicates user profile. Business The word Business Life The word Life News The word News icon A magnifying glass. It indicates, Click perform search. 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HOMEPAGE Premium Home Chevron icon It indicates expandable section menu, previous navigation options. Enterprise As hot AI startup ThoughtSpot gears IPO year, CEO telling employees prepare good days bad days both: Dont focus instant gratification Benjamin Pimentel 20200922T13:00:00Z Facebook Icon The letter F. Email icon An envelope. It indicates ability send email. Link icon An image chain link. It symobilizes website link url. Twitter icon A stylized bird open mouth, tweeting. LinkedIn icon The word in. Fliboard icon A stylized letter F. More icon Three evenly spaced dots forming ellipsis: .... Close icon Two crossed lines form X. It indicates way close interaction, dismiss notification. ThoughtSpot CEO Sudheesh Nair ThoughtSpot This story available exclusively Business Insider subscribers. Become Insider start reading now. ThoughtSpot CEO Sudheesh Nair said 2 billion AI data visualization startup gearing public 2021 rides wave strong demand cloud data storage analytics, highlighted weeks blockbuster Snowflake IPO. ThoughtSpot took step goal Tuesday introduced exclusive cloud offering partnership cloud giant Amazon. The Silicon Valley company track hit 100 million annual recurring revenue year, said. But Nair, helped lead successful IPO infrastructure software maker Nutanix, said important prepare employees pressures public company. You visible world, told Business Insider. Youve got figure company good days bad days. Dont focus instant gratification. Visit Business Insiders home stories. Snowflakes wildly successful trading debut week signaled wave blockbuster cloud IPOs ThoughtSpot, hot AI startup, getting ready join party.CEO Sudheesh Nair said fastgrowing startup, uses AI help businesses analyze visualize huge amounts data, gearing public early fall 2021.That probably earliest I you, told Business Insider. It months there, thats I want company ready.He said ThoughtSpot took step goal Tuesday rollout ThoughtSpot Cloud, exclusively cloud product. Most clients currently access software private networks. Nair said startup hitting key metrics says setting stage ThoughtSpot public.This year, crossing hallowed ground 100 million [in annual recurring revenue], said. For startup offering softwareasaservice, said, crossing 100 million earns right public.Nair said ThoughtSpot gearing IPO past year. The Silicon Valley company recently valued 2 billion raised 744 million investors including Khosla Ventures, Sapphire Ventures, Lightspeed.In January, company named Mohit Daswani, tech industry veteran, chief financial officer, CFO admitted IPO coming. This team wants discipline rigor public company, told Business Insider January. And it. Well ready. We journey ahead.Like tech companies, ThoughtSpot, challenging Salesforces Tableau data visualization, taken hit coronavirus crisis. The couple months pretty chaotic, Nair said. But saw crisis opportunity. He said team particularly focused ways accelerate transformation cloud company, allows IPO candidate.ThoughtSpots cloud offering, dramatically cut time takes clients set software weeks 30 minutes, highlights growing clout cloud.Amazon, dominant cloud vendor, key partner new service. But Nair noted ThoughtSpot supports cloud data storage technologies, including Snowflake, Googles Big Query, Microsoft.This underscores growing importance technologies storing data cloud, propelled Snowflakes rapid growth, tools enable companies access use information run business.This massive space recently demonstrated partner Snowflake week, Nair said.But hitting key milestones successful player hot tech market important, critical factors startups successful transition publiclytraded company, Nair said.Going public exposes startup intense scrutiny Wall Street beyond. It typically leads heightened pressure company grapples inevitable highs lows market.You visible world, Nair said. There good days bad days. Youve got figure company good days bad days. Dont focus instant gratification. One challenges newlypublic startup executives employees unduly influenced companys stock price perceived publicly. The company need sure workers dont start thinking stock ticker selfworth attached stock ticker firm goes public, Nair said.Nair speaking experience.I learned hard ways Nutanix, said.He early employees Nutanix, served infrastructure software companys president. After company went public 2016, Nutanix continued grow struggled challenges sent stock rollercoaster ride past years. Being focused stock price employees distorted view company doing, said.Your stock ticker bad, means company bad? Nair said. How be? Its company, people, customers. But day good, day bad.And thats culture important startup looking public, said: You better solid foundation people culture set expectations building long term, long lasting company.Got tip ThoughtSpot, Snowflake tech company? reporter email bpimentel message Twitter send secure message Signal 510 7318429. You contact Business Insider securely SecureDrop.Claim 20 discount annual subscription BI Prime clicking here. Newsletter Start day morning cheat sheet. Sign 10 Things Tech You Need To Know. Loading Something loading. Email address By clicking Sign up, agree receive marketing emails Business Insider partner offers accept . SEE ALSO: VCs 29 companies startups booming big data industry SEE ALSO: How product managers paid enterprise giants like Oracle, Cisco, VMware, SAP, ServiceNow Workday job evolving NOW WATCH: More: ThoughtSpot IPO Enterprise Startups Enterprise Tech Chevron icon It indicates expandable section menu, previous navigation options. Follow on: Also check out: 2020 Insider . . Registration use site constitutes acceptance , Policy . Sitemap Disclaimer Commerce Policy CA Privacy Rights Coupons Made NYC Jobs Stock quotes Reprints Permissions International Editions: United States US International INTL Australia AUS Deutschland DE Espaa ES France FR India IN Italy IT Japan JP Mxico MX Netherlands NL Nordic SE Polska PL South Africa ZA | 2,020 | [
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https://www.breitbart.com/tech/2020/12/18/fired-google-ai-researcher-they-wanted-to-have-my-presence-but-not-me-exactly/ | 2020-12-18T00:00:00 | en | Fired Google AI Researcher: 'They Wanted To Have My Presence, But Not Me Exactly' |
Fired Google AI Researcher: 'They Wanted To Have My Presence, But Not Me Exactly'
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Fired Google AI Researcher: ‘They Wanted To Have My Presence, But Not Me Exactly’
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Kimberly White /GettyLucas Nolan18 Dec 2020
In a recent interview, a former Google Artificial Intelligence Ethics researcher who was fired for refusing to retract an academic paper critical of the company’s AI technology has claimed that Google wanted the “idea” of her working at the company as a black, female researcher rather than the “reality” of her working there.
In an interview on NPR’s Morning Edition, former Google AI Ethics researcher Timnit Gebru discussed her recent firing from the company. Breitbart News reported earlier this month that Gebru alleges that she was approached by a manager at Google and asked to retract or remove her name from a research paper that she had coauthored as an internal review at Google found the contents of the paper objectionable.
The paper discussed ethical issues raised by advances in artificial intelligence working with language, an area of research that Google believes is important to the future of its business. Gebru objected to retracting the paper or removing her name from it, calling the practice unscholarly. A short time later she was fired by the Silicon Valley giant. A Google spokesperson alleges that she resigned and was not fired but declined to comment further.
Speaking to NPR, Gebru stated: “My theory is that they had wanted me out for a while because I spoke up a lot about issues related to black people, women, and marginalization. They wanted to have my presence, but not me exactly. They wanted to have the idea of me being at Google, but not the reality of me being at Google.”
This week, several of Gebru’s former colleagues wrote a letter to Google CEO Sundar Pichai asking that Gebru be reinstated stating that her departure from the company has “had a demoralizing effect on the whole of our team.” The employees also requested that they not be subject to retaliation for supporting Gebru, something which Google has repeatedly done in the past.
A recent complaint filed by the National Labor Relations Board (NLRB) alleges that Google violated U.S. labor laws by spying on workers who were organizing employee protests before firing two of them. The complaint names two former Google employees, Laurence Berland and Kathryn Spiers, who were fired from the company in Late 2019 in connection with employee activism.
Berland was reportedly organizing protests against Google’s decision to work with IRI Consultants, a group known for its anti-union efforts, when he was fired for reviewing other employees’ calendars. The NLRB has now found that Google’s policy against employees viewing coworkers’ calendars is unlawful.
Following the protests, multiple other employees were fired but the NLRB investigation found that only the termination of Berland and Spiers violated labor laws. Berland said in a statement: “Google’s hiring of IRI is an unambiguous declaration that management will no longer tolerate worker organizing. Management and their union busting cronies wanted to send that message, and the NLRB is now sending their own message: worker organizing is protected by law.”
Discussing Gebru’s firing, former Google employee Ifeoma Ozoma commented: “There are serious concerns around her identity as a Black woman and the concerns she raised around diversity as being the main driver for both the firing and the way it was done and the speed.”
Linguist Emily Bender at the University of Washington, who was one of Gebru’s co-authors on her research paper, said that she sympathizes with Google researchers still at the company. “I can’t imagine that it wouldn’t have a chilling effect on people who are working there trying to work on this but now looking over their shoulder wondering, ‘When is something all of a sudden going to be retracted?’ and their work going to be basically taken away from them?”
Lucas Nolan is a reporter for Breitbart News covering issues of free speech and online censorship. Follow him on Twitter @LucasNolan or contact via secure email at the address [email protected]
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| Fired Google AI Researcher: 'They Wanted To Have My Presence, But Not Me Exactly' | Fired Google AI Researcher: They Wanted To Have My Presence, But Not Me Exactly Skip content PoliticsEntertainmentMediaEconomyWorldLondon EuropeBorder Cartel ChroniclesIsrael Middle EastAfricaAsiaLatin AmericaAll WorldVideoTechSportsOn HillWiresB Inspired BREITBART PoliticsEntertainmentMediaEconomyWorldLondon EuropeBorder Cartel ChroniclesIsrael Middle EastAfricaAsiaLatin AmericaWorld NewsVideoTechSportsOn HillWiresB InspiredPeople BREITBART 2020 Results FightCOVID1984Georgia Senate RunoffsMasters UniverseHollywood Healing Fired Google AI Researcher: They Wanted To Have My Presence, But Not Me Exactly 3 Kimberly White GettyLucas Nolan18 Dec 2020 In recent interview, Google Artificial Intelligence Ethics researcher fired refusing retract academic paper critical companys AI technology claimed Google wanted idea working company black, female researcher reality working there. In interview NPRsMorning Edition, Google AI Ethics researcherTimnit Gebru discussed recent firing company. Breitbart News reported earlier month thatGebru alleges approached manager Google asked retract remove research paper coauthored internal review Google contents paper objectionable. The paper discussed ethical issues raised advances artificial intelligence working language, area research Google believes important future business. Gebru objected retracting paper removing it, calling practice unscholarly. A short time later fired Silicon Valley giant. A Google spokesperson alleges resigned fired declined comment further. Speaking NPR, Gebru stated:My theory wanted I spoke lot issues related black people, women, marginalization.They wanted presence, exactly. They wanted idea Google, reality Google. This week, Gebrus colleagues wrote letter Google CEO Sundar Pichai asking Gebru reinstated stating departure company hashad demoralizing effect team. The employees requested subject retaliation supporting Gebru, Google repeatedly past. A recentcomplaint filed National Labor Relations Board NLRBalleges Google violated U.S. labor laws spying workers organizing employee protests firing them. The complaint names Google employees, Laurence Berland Kathryn Spiers, fired company Late 2019 connection employee activism. Berland reportedly organizing protests Googles decision work IRI Consultants, group known antiunion efforts, fired reviewing employees calendars. The NLRB Googles policy employees viewing coworkers calendars unlawful. Following protests, multiple employees fired NLRB investigation termination Berland Spiers violated labor laws. Berland said statement:Googles hiring IRI unambiguous declaration management longer tolerate worker organizing. Management union busting cronies wanted send message, NLRB sending message: worker organizing protected law. Discussing Gebrus firing, Google employee Ifeoma Ozoma commented:There concerns identity Black woman concerns raised diversity main driver firing way speed. Linguist Emily Bender University Washington, Gebrus coauthors research paper, said sympathizes Google researchers company.I imagine wouldnt chilling effect people working trying work looking shoulder wondering, When sudden going retracted? work going basically taken away them? Lucas Nolan reporter Breitbart News covering issues free speech online censorship. Follow Twitter contact secure email addresslucasnolan EconomySocial JusticeTechCensorshipFree Speech OnlineGoogleMasters Universe . Please let know youre issues commenting. 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Mayor Eric Garcetti Says He Turned Down Offer Join Joe Bidens CabinetGretchen Whitmer Lockdown Closed 32 Michigan BusinessesTrue Vote Partners Georgians Challenge More 300K Allegedly Ineligible VotersMedical Journal: Birth Certificate Sex Designations Harmful Transgender PeopleBiden: Can Work GOP Despite Being Angry Hunter AccusationsIran: Satellite Photos Show Construction Underground Nuclear SiteCollege students recruited teachers schools openBiden: We Will Get Place We Can Open Schools Will Be Awfully Close Normal Not There This Time Next YearMillions LifeSaving Scans Missed NHS Ground Halt Coronavirus: Report BREITBART NEWS MastheadPolicy InfoTerms UseAdvertiseWires UsCareersStoreGet AppNewsletterSend A TipSitemap 2020 Breitbart | 2,020 | [
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The IntelliSpace Discovery Research Suites include tools to create tailored data analysis and AI solutions in a research environment. Contact us Request contact Contact us Request contact How can we help you? * Please select* Приобретение медицинского оборудования, консалтинг Сервисная поддержка медицинского оборудования Потребительские товары Световые решения Работа в Philips Je suis intéressé(e) par les solutions/produits de santé - pour les professionnels de santé. Je recherche une assistance technique pour les solutions/produits de santé. Je suis intéressé(e) par les produits pour les consommateurs grand public. Je suis intéressé(e) par les produits luminaires (lighting -Signify). J’aimerai travailler chez Philips. Interesse commerciale per un prodotto o soluzione medicale Richiesta materiale informativo per un prodotto o soluzione medicale Assistenza tecnica per un prodotto o soluzione medicale Informazioni su un prodotto per i consumatori Opportunità lavorative in Philips Ik heb interesse in een healthcare-oplossing voor professionals Ik zoek (technische) ondersteuning voor mijn healthcare-oplossing Ik heb interesse in een consumentenproduct Ik heb interesse in verlichting (Signify) Ik wil werken bij Philips Ik heb een vraag over sponsoring Ik heb interesse in een healthcare-oplossing voor professionals Ik zoek (technische) ondersteuning voor mijn healthcare-oplossing Ik heb interesse in een consumentenproduct Ik heb interesse in verlichting (Signify) Ik wil werken bij Philips Ich interessiere mich für Lösungen für medizinisches Fachpersonal Ich suche (technischen) Support für meine Healthcare-Lösungen Ich suche Support für Konsumentenprodukte von Philips Ich interessiere mich für Beleuchtung 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Philips makes representations warranties kind regard thirdparty websites information contained therein. I understand | 2,020 | [
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https://www.iol.co.za/business-report/opinion/tech-news-ai-gathering-of-personal-information-can-make-you-a-phishing-target-01251009-c7b3-41a0-bfa1-3acc2ffec8d6 | 2020-08-21T00:00:00 | en | Tech News: AI gathering of personal information can make you a phishing target |
Tech News: AI gathering of personal information can make you a phishing target
NewsAll NewsSouth AfricaPoliticsAfricaWorldOpinionEish!SportAll SportSoccerRugbyCricketAthleticsGolfTennisBoxingCyclingSwimmingNetballHockeyBasketballFormula OneHorse RacingWorld CupOlympicsOpinionTechAll TechMobileGadgetsFintechSoftware and InternetGamingTechspertsBusiness ReportAll Business ReportCompaniesEconomyEnergyMarketsEntrepreneursCareersInternationalOpinionBudgetBelt and RoadBRICSEntertainmentAll EntertainmentCelebrity NewsTVMoviesMusicRoyalsWhat's OnBooksLifestyleAll LifestyleFood & DrinkHealthFamilyStyle & BeautyHome & GardenLove & SexCompetitionsMotoringAll MotoringIndustry NewsLatest LaunchesCarsBikesTrucksMotorsportF1 Grand PrixRoad TestsCustom CarsTravelAll TravelTravel NewsSouth AfricaAfricaWorldTravel TipsPersonal FinanceAll Personal FinanceMy MoneyDebtFinancial PlanningRetirementInvestInsuranceMedical CoverTaxNewsletter SubscribeNewsletter SubscribeBusiness ReportOpinionDue to the growing popularity of artificial intelligence (AI) in appliances, devices and everyday applications, the misuse and exploitation for criminal purposes have blossomed. Photo: FileTech News: AI gathering of personal information can make you a phishing targetBy Opinion 1h agoShare this article:ShareTweetShareShareShareEmailShareDURBAN - Due to the growing popularity of artificial intelligence (AI) in appliances, devices and everyday applications, the misuse and exploitation for criminal purposes have blossomed. AI provides a real threat in the form of AI facilitated crime:•As a tool for crime, such as theft, intimidation, terror, extortion, generating fake content used in blackmail, audio/video impersonation through “deepfake” content, and tailored phishing through the AI gathering of personal information;• As a target for criminal activity, where AI systems are targeted by criminals, such as evading detection, exploitation of vulnerabilities, attempts to bypass protective AI systems, making trusted or critical systems fail or behave erratically, using AI driverless cars as kinetic weapons, and voter and stock market manipulation; and• As a context for crime, where fraudulent activities might depend on the victim believing that some AI functionality is possible.Unfortunately, some of the strengths of AI – its ability to learn by itself, to act autonomously, to deal independently with tasks previously requiring human intelligence and intervention, and to make its own decisions – could be exploited by criminals, thus creating a possible threat.Some deep learning systems that have been studied, could be fooled by an adversary who has prior access to the software. In this case AI is used to find its own hidden weaknesses. These minute adversarial perturbations of the input to the system are then used to manipulate the output.Bots, fake content and harassmentPotential criminals could also undermine social bots, by biasing its learned classification and generation data structures via user-interaction. This is what happened with Microsoft’s unfortunate Twitter bot “Tay”, which quickly learned from user-interactions to direct “obscene and inflammatory tweets” at a feminist-activist, leading to complaints of harassment.This problem is further complicated by the assigning of liability. Does the liability lie with Microsoft who released Tay on Twitter, a platform known for its problems with harassment, or also the users who did not use the technology according to its design? Or should the intention or knowledge of wrongdoing (the so-called mens rea) of the crime be considered, since attribution of intent is a function of engineering, application context, human–computer interaction, and perception?AI has developed so exponentially that sophisticated fake content can be developed with ease. Software exists that can produce synthetic videos based on a real video, where the original “actor’s” face has been replaced with another.The new face is not merely copied and pasted from pictures but synthesised by a generative neural network after it has been trained on videos that feature the new person. A senior citizen could be tricked into making financial transfers after a video chat by an apparent trusted party.Quite often, many of these synthetic videos are pornographic, increasing the risk of synthesised fake content in order to harass victims. Other synthetic videos are very political and could perhaps even damage sensitive diplomatic relationships or start a war when the face of a president or leader is misused.Theft, fraud, forgery and impersonationAI is often used to gather personal data, which is then used in combination with other AI methods to forge an identity and gain the trust of a third party.The first method to gather personal data involves the use of social media bots to target users at large scale and low cost, by exploiting the capacity of the AI bots to generate posts, impersonate people, and consequently acquire trust through friendship requests or “follows” on sites like Twitter, LinkedIn, and Facebook. When a user indiscriminately accepts friendship requests, the criminal gains personal information only available to friends. Unknowingly, users often add bots to their friendship circle, thereby compromising their privacy. Identity-cloning bots have succeeded in having 56 percent of their friendship requests accepted on LinkedIn.The second method for gathering personal data makes partial use of conversational social bots for social engineering. AI is used to manipulate behaviour by bonding with a victim and then exploiting the relationship to obtain information from or access to their computer. Using a misleading social botnet to discover vulnerable individuals, criminals use the AI-based manipulation to collect harvested personal data and re-use it to produce intensified attacks of simulated familiarity, empathy, and intimacy, leading to greater personal data revelations.The third method for gathering personal data from users is the notorious automated personalised phishing (known as spear phishing). Machine learning techniques are used to craft messages personalised to a specific user.The fourth method of AI snooping entails the use of phones, smart televisions and Home Hubs for the gathering of information. Speech Recognition software is used to sift the gathered data for exploitable fragments (e.g. passwords or bank details; affairs being admitted to).Once the criminal gathered sufficient personal data through the use of AI, AI is used to forge an identity. Using machine learning, Adobe’s voice synthesis software is able to learn adversarially, and imitate someone’s individual speech pattern from a 20 minute recording of his or her voice. Advanced AI supported voice synthesis software poses a real threat to biometric security processes often used to unlock devices, doors, safes and vehicles.Crime preventionContrariwise, AI also has tremendous potential for crime prevention, such as machine perception (the capability of a computer system to interpret data in a manner that is similar to the way humans use their senses) in vehicle tracking, person recognition and X-ray threat detection.In addition to the technological AI solutions for fraud detection and prevention, there are a number of legal solutions that can be considered in order to address the issue of AI facilitated crime. Legal solutions may involve limiting AI agents’ autonomy or their deployment for example the use of autonomous cars. If legislation does not forbid higher levels of autonomy for a specific autonomous agent, the law should oblige that this freedom is linked to technological remedies to prevent nascent criminal acts once deployed.Another possibility is to obligate developers to deploy autonomous agents only when they have run-time legal compliance layers, which take declarative specifications of legal rules and impose constraints on the run-time behaviour of their autonomous agent. However, this shift from regulation to regimentation would implement the “code-as-law” concept, which considers software code as a regulator in and of itself by saying that the architecture it produces can serve as an instrument of social control on those that use it.Alternatively, social simulation could be used as a test bed before deploying autonomous agents. It would be possible in a market context that regulators could act as “certification authorities”, testing new trading algorithms in a system-simulator to assess their likely impact on the system before allowing the developer of the algorithm to run it live.I addition to the above preventative methods, AI criminality monitoring is of the utmost importance. AI criminality predictors using domain knowledge could be used effectively to predict identity theft by notifying users whether the location of the “friend” that is messaging them meets their expectation. AI could also be used to discover crime patterns but is limited by the current capability to link offline identities to online activities.Perhaps a very useful approach is to address traceability by embedding hidden clues in the components that make up AI tools used by criminals. For instance, Adobe’s voice replication software places a hidden watermark in the generated audio. However, lack of knowledge and control over who develops AI tools limits traceability via watermarking and similar techniques.The futurePowerful AI applications have arrived, delivered by advances in machine learning to autonomously build algorithms from data; deep learning to do it like the human brain; and powerful computers to do it fast and cheap. These powerful AI applications have been effectively used to the benefit of society. Unfortunately, the very same powerful AI applications could be used by criminals. The future will see even more powerful AI applications - their use for good or evil will depend on our ability to timeously take preventative measures.Professor Louis C H Fourie is a futurist and technology strategistBUSINESS REPORT ONLINEShare this article:ShareTweetShareShareShareEmailShareSearchFollow IOLAdvertismentTrending on IOL#WomensMonth#Zimbabwe#CoronaVirusAdvertismentRead next on IOLAngloGold must keep local listing to sell assets to Harmony Gold
7h agoMost ReadEditors ChoiceLoading News...Sections on IOLNewsTechBusiness ReportEntertainmentLifestyleSportMotoringTravelPersonal FinanceMultimediaFollow IOLMore on IOLAbout IOLContact UsWeatherIOL Mobile App FAQAdvertise with usFeedbackComplaints ProcedureLegalPress CodePrivacy PolicyTerms & ConditionsTrending on IOL#WomensMonth#Zimbabwe#CoronaVirusNewsletter SubscribeNewspapersThe StarCape ArgusWeekend ArgusDaily NewsCape TimesThe MercuryPretoria NewsSaturday StarThe Independent on SaturdaySunday TribuneSunday IndependentThe PostDaily VoiceIsolezwe© 2020 Independent Online and affiliated companies. All rights reservedPlease visit the official Government information portal for Coronavirus by clicking HERE
| Tech News: AI gathering of personal information can make you a phishing target | Tech News: AI gathering personal information phishing target NewsAll NewsSouth AfricaPoliticsAfricaWorldOpinionEishSportAll SportSoccerRugbyCricketAthleticsGolfTennisBoxingCyclingSwimmingNetballHockeyBasketballFormula OneHorse RacingWorld CupOlympicsOpinionTechAll TechMobileGadgetsFintechSoftware InternetGamingTechspertsBusiness ReportAll Business ReportCompaniesEconomyEnergyMarketsEntrepreneursCareersInternationalOpinionBudgetBelt RoadBRICSEntertainmentAll EntertainmentCelebrity NewsTVMoviesMusicRoyalsWhats OnBooksLifestyleAll LifestyleFood DrinkHealthFamilyStyle BeautyHome GardenLove SexCompetitionsMotoringAll MotoringIndustry NewsLatest LaunchesCarsBikesTrucksMotorsportF1 Grand PrixRoad TestsCustom CarsTravelAll TravelTravel NewsSouth AfricaAfricaWorldTravel TipsPersonal FinanceAll Personal FinanceMy MoneyDebtFinancial PlanningRetirementInvestInsuranceMedical CoverTaxNewsletter Newsletter Business ReportOpinionDue growing popularity artificial intelligence AI appliances, devices everyday applications, misuse exploitation criminal purposes blossomed. Photo: FileTech News: AI gathering personal information phishing targetBy Opinion 1h agoShare article:ShareTweetShareShareShareEmailShareDURBAN Due growing popularity artificial intelligence AI appliances, devices everyday applications, misuse exploitation criminal purposes blossomed. AI provides real threat form AI facilitated crime:As tool crime, theft, intimidation, terror, extortion, generating fake content blackmail, audiovideo impersonation deepfake content, tailored phishing AI gathering personal information; As target criminal activity, AI systems targeted criminals, evading detection, exploitation vulnerabilities, attempts bypass protective AI systems, making trusted critical systems fail behave erratically, AI driverless cars kinetic weapons, voter stock market manipulation; As context crime, fraudulent activities depend victim believing AI functionality possible.Unfortunately, strengths AI ability learn itself, act autonomously, deal independently tasks previously requiring human intelligence intervention, decisions exploited criminals, creating possible threat.Some deep learning systems studied, fooled adversary prior access software. In case AI hidden weaknesses. These minute adversarial perturbations input manipulate output.Bots, fake content harassmentPotential criminals undermine social bots, biasing learned classification generation data structures userinteraction. This happened Microsofts unfortunate Twitter bot Tay, quickly learned userinteractions direct obscene inflammatory tweets feministactivist, leading complaints harassment.This problem complicated assigning liability. Does liability lie Microsoft released Tay Twitter, platform known problems harassment, users use technology according design? Or intention knowledge wrongdoing socalled mens rea crime considered, attribution intent function engineering, application context, humancomputer interaction, perception?AI developed exponentially sophisticated fake content developed ease. Software exists produce synthetic videos based real video, original actors face replaced another.The new face merely copied pasted pictures synthesised generative neural network trained videos feature new person. A senior citizen tricked making financial transfers video chat apparent trusted party.Quite often, synthetic videos pornographic, increasing risk synthesised fake content order harass victims. Other synthetic videos political damage sensitive diplomatic relationships start war face president leader misused.Theft, fraud, forgery impersonationAI gather personal data, combination AI methods forge identity gain trust party.The method gather personal data involves use social media bots target users large scale low cost, exploiting capacity AI bots generate posts, impersonate people, consequently acquire trust friendship requests follows sites like Twitter, LinkedIn, Facebook. When user indiscriminately accepts friendship requests, criminal gains personal information available friends. Unknowingly, users add bots friendship circle, compromising privacy. Identitycloning bots succeeded 56percent friendship requests accepted LinkedIn.The second method gathering personal data makes partial use conversational social bots social engineering. AI manipulate behaviour bonding victim exploiting relationship obtain information access computer. Using misleading social botnet discover vulnerable individuals, criminals use AIbased manipulation collect harvested personal data reuse produce intensified attacks simulated familiarity, empathy, intimacy, leading greater personal data revelations.The method gathering personal data users notorious automated personalised phishing known spear phishing. Machine learning techniques craft messages personalised specific user.The fourth method AI snooping entails use phones, smart televisions Home Hubs gathering information. Speech Recognition software sift gathered data exploitable fragments e.g. passwords bank details; affairs admitted to.Once criminal gathered sufficient personal data use AI, AI forge identity. Using machine learning, Adobes voice synthesis software able learn adversarially, imitate someones individual speech pattern 20 minute recording voice. Advanced AI supported voice synthesis software poses real threat biometric security processes unlock devices, doors, safes vehicles.Crime preventionContrariwise, AI tremendous potential crime prevention, machine perception capability interpret data manner similar way humans use senses vehicle tracking, person recognition Xray threat detection.In addition technological AI solutions fraud detection prevention, number legal solutions considered order address issue AI facilitated crime. Legal solutions involve limiting AI agents autonomy deployment example use autonomous cars. If legislation forbid higher levels autonomy specific autonomous agent, law oblige freedom linked technological remedies prevent nascent criminal acts deployed.Another possibility obligate developers deploy autonomous agents runtime legal compliance layers, declarative specifications legal rules impose constraints runtime behaviour autonomous agent. However, shift regulation regimentation implement codeaslaw concept, considers software code regulator saying architecture produces serve instrument social control use it.Alternatively, social simulation test bed deploying autonomous agents. It possible market context regulators act certification authorities, testing new trading algorithms systemsimulator assess likely impact allowing developer algorithm run live.I addition preventative methods, AI criminality monitoring utmost importance. AI criminality predictors domain knowledge effectively predict identity theft notifying users location friend messaging meets expectation. AI discover crime patterns limited current capability link offline identities online activities.Perhaps useful approach address traceability embedding hidden clues components AI tools criminals. For instance, Adobes voice replication software places hidden watermark generated audio. However, lack knowledge control develops AI tools limits traceability watermarking similar techniques.The futurePowerful AI applications arrived, delivered advances machine learning autonomously build algorithms data; deep learning like human brain; powerful computers fast cheap. These powerful AI applications effectively benefit society. Unfortunately, powerful AI applications criminals. The future powerful AI applications use good evil depend ability timeously preventative measures.Professor Louis C H Fourie futurist technology strategistBUSINESS REPORT ONLINEShare article:ShareTweetShareShareShareEmailShareFollow IOLAdvertismentTrending IOLWomensMonthZimbabweCoronaVirusAdvertismentRead IOLAngloGold local listing sell assets Harmony Gold 7h agoMost ReadEditors ChoiceLoading News...Sections IOLNewsTechBusiness ReportEntertainmentLifestyleSportMotoringTravelPersonal FinanceMultimediaFollow IOLMore IOLAbout IOL UsWeatherIOL Mobile App FAQAdvertise usFeedbackComplaints ProcedureLegalPress CodeTerms ConditionsTrending IOLWomensMonthZimbabweCoronaVirusNewsletter NewspapersThe StarCape ArgusWeekend ArgusDaily NewsCape TimesThe MercuryPretoria NewsSaturday StarThe Independent SaturdaySunday TribuneSunday IndependentThe PostDaily VoiceIsolezwe 2020 Independent Online affiliated companies. Please visit official Government information portal Coronavirus clicking HERE | 2,020 | [
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https://www.stamfordadvocate.com/news/article/In-virus-hit-South-Korea-AI-monitors-lonely-15306048.php | 2020-05-31T00:00:00 | en | In virus-hit South Korea, AI monitors lonely elders - StamfordAdvocate |
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https://www.stamfordadvocate.com/news/article/In-virus-hit-South-Korea-AI-monitors-lonely-15306048.php
In virus-hit South Korea, AI monitors lonely elders
Kim Tong-hyung, Associated Press
Updated
11:47 pm EDT, Saturday, May 30, 2020
SK Telecom's AI speaker Nugu built with an artificial intelligence called "Aria" and a lamp that turns blue when processing voice commands for news, music and internet searches, is seen in Seoul, South Korea, on May 13, 2020. The devices can also use quizzes to monitor the memory and cognitive functions of their elderly users, which would be potentially useful for advising treatments. less
SK Telecom's AI speaker Nugu built with an artificial intelligence called "Aria" and a lamp that turns blue when processing voice commands for news, music and internet searches, is seen in Seoul, South Korea, ... more
Photo: Lee Jin-man, AP
Photo: Lee Jin-man, AP
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SK Telecom's AI speaker Nugu built with an artificial intelligence called "Aria" and a lamp that turns blue when processing voice commands for news, music and internet searches, is seen in Seoul, South Korea, on May 13, 2020. The devices can also use quizzes to monitor the memory and cognitive functions of their elderly users, which would be potentially useful for advising treatments. less
SK Telecom's AI speaker Nugu built with an artificial intelligence called "Aria" and a lamp that turns blue when processing voice commands for news, music and internet searches, is seen in Seoul, South Korea, ... more
Photo: Lee Jin-man, AP
In virus-hit South Korea, AI monitors lonely elders
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SEOUL, South Korea (AP) — In a cramped office in eastern Seoul, Hwang Seungwon points a remote control toward a huge NASA-like overhead screen stretching across one of the walls.
With each flick of the control, a colorful array of pie charts, graphs and maps reveals the search habits of thousands of South Korean senior citizens being monitored by voice-enabled “smart” speakers, an experimental remote care service the company says is increasingly needed during the coronavirus crisis.
“We closely monitor for signs of danger, whether they are more frequently using search words that indicate rising states of loneliness or insecurity,” said Hwang, director of a social enterprise established by SK Telecom to handle the service. Trigger words lead to a recommendation for a visit by local public health officials.
As South Korea's government pushes to allow businesses to access vast amounts of personal information and to ease restrictions holding back telemedicine, tech firms could potentially find much bigger markets for their artificial intelligence and other emerging technologies.
The drive, resisted for years by civil liberty advocates and medical professionals, has been reinvigorated by a technology-driven fight against COVID-19. It has so far allowed South Korea to emerge as something of a coronavirus success story but also raised broader worries that privacy is being sacrificed for epidemiological gains.
Armed with an infectious disease law that was strengthened after a 2015 outbreak of a different coronavirus, MERS, health authorities have aggressively used credit-card records, surveillance videos and cellphone data to find and isolate potential virus carriers.
Locations where patients went before they were diagnosed are published on websites and released through cellphone alerts. Smartphone tracking apps are used to monitor around 30,000 individuals quarantined at home.
Starting in June, entertainment venues will be required to register customers with smartphone QR codes so they could be easily located if needed.
But there’s a dark side.
People here have often managed to trace back the online information to the unnamed virus carriers, exposing embarrassing personal details and making them targets of public contempt.
A low point came earlier this month when local media described some Seoul nightclubs linked to dozens of infections as catering to sexual minorities, triggering homophobic responses.
Officials reacted by expanding “anonymous testing,” which allowed people to provide only their phone numbers and not their names during tests. There was a subsequent increase in tests.
The past months have exposed a stark division about the best ways to make important decisions when privacy concerns collide with public health needs, said Haksoo Ko, a Seoul National University law professor and co-director of the school’s Artificial Intelligence Policy Initiative.
Around 3,200 people across the country, mostly older than 70 and living alone, have so far allowed the SK Telecom speakers to listen to them 24 hours a day since the service launched in April 2019.
The company expects users to at least double by the end of the year, judging by local government interest. The technology has reduced human contact in welfare services while still providing governments with a tool to prevent elderly residents from dying alone. That’s especially needed in a country grappling with an aging population and high poverty rates among retirees.
The speakers are built with an artificial intelligence called “Aria” and a lamp that turns blue when processing voice commands for news, music and internet searches. The devices can also use quizzes to monitor the memory and cognitive functions of their elderly users, which would be potentially useful for advising treatments.
But it’s difficult for SK Telecom’s clients to use the information without clear legal guidelines for handling health data on private networks.
Similar reasons may also impede domestic use of health technologies developed by Samsung Electronics, which recently received approval for a smartwatch application that monitors blood pressure.
KT, SK Telecom’s telecommunications rival, is focused on business customers, providing artificial intelligence devices such as speakers and service robots to hotels, offices and new apartments.
President Moon Jae-in's administration has said data-driven industries will be critical in boosting a pandemic-hit economy.
Officials are preparing regulations for revised data laws that lawmakers passed in January after months of wrangling. They aim to allow businesses greater freedom in collecting and analyzing anonymous personal data without seeking individual consent.
If they work as intended, optimists say the laws would allow artificial intelligence to truly take off and pave the way for highly customized financial and health care services after they start in August.
But activist Oh Byoung-il said the changes could bring excessive privacy infringements unless robust safeguards are installed.
“Companies will always have an endless thirst for data, but you can’t give it to them all,” he said.
Doctors’ groups have also resisted government calls for legalizing telemedicine, raising concerns related to data security and a negative impact on smaller hospitals.
Industrial benefits will be limited if officials can’t find the right combination of techniques to process personal information so that it can't be used to identify individuals. Health and government authorities have failed to do this during the pandemic.
South Korea’s anti-virus experience provides “lots of lessons and implications” as it steps toward a data-driven economy, Ko said.
“With data, it’s bad to take ‘the more, the better’ approach,” he said. “An appropriate control system needs to be baked into the process, to make decisions on data access based on necessity and sensitivity and restrict access to information that isn’t really needed.”
In Seoul's Yangcheon district, officials are using SK Telecom’s tech to monitor some 200 seniors who live alone.
Social workers, who have smartphone apps that look like a mini version of the main dashboard, make calls or visits when users don't use their devices for more than 24 hours.
“It’s nice to have something to talk to,” said Lee Chang-geun, an 89-year-old who has lived alone in his small apartment since his wife died three years ago. “But I wish they developed an Aria function for opening doors. What good is a distress signal if I die while emergency workers try to force open my door?”
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| In virus-hit South Korea, AI monitors lonely elders | In virushit South Korea, AI monitors lonely elders StamfordAdvocate Home Advocate Manage Subscription Careers Us Newsletters Advertise Us Terms Use Archives Digital edition FAQ Privacy Notice Terms Use Submissions Stamford Police investigate womans death West Main Street Lamont tours Stamford agency view shift coronavirus Roads close outdoors diners Stamford Gartner: Reduced disposable income impact worldwide demand News Local Police Reports Regional National Education World Politics Opinion Science Technology Were SEEN? Election Jack Cavanaugh: Coronavirus numbers worse appear Report: Former WWE star missing sea Stamford High School student Palace playwright winners Wendy Lecker: Cuomo inclusive rebuilding education Sports High School High School Scoreboard Pro Baseball Pro Football Pro Basketball Pro Hockey Other Sports Little League Stamford High athletes school driveup signing Dariens Lindley enter National Lacrosse Hall Fame Stamford senior softball players honored parade past Jeff Jacobs: New Canaan Scholar Athlete Chris Carratu Business Best Of Stamford Press releases Markets Top Workplaces Gartner: Reduced disposable income impact worldwide demand Bakeryrestaurant CT shops files bankruptcy TVs comes Stamfordbased company Connecticut shed 266K jobs April Real Estate Entertainment Movies Music Arts Television Comics Puzzles Games Events Ridgefield hosting free drivein movies Saturdays June Maritime Garage Gallery: Virtual exhibit explores humanitys Foxwoods lays safety plans casinos prepare phased Comic invites call, says Bob Sagets Here For You Living Health Home Garden Family Religion Seniors Travel Food Apple pie baking class Mikes Organic Market Stamford Did know Susan Sarandons daughter Fairfield County Stamford coffee brewers CT Magazines 40 Under 40 Class Colony vs. Rikos pizza: Barstool Sports tries settle debate Obituaries Classifieds Jobs Cars Open Business Todays Paper Insider MenuSections In virushit South Korea, AI monitors lonely elders Kim Tonghyung, Associated Press Updated 11:47pm EDT, Saturday, May 30, 2020 SK Telecoms AI speaker Nugu built artificial intelligence called Aria lamp turns blue processing voice commands news, music internet searches, seen Seoul, South Korea, May 13, 2020. The devices use quizzes monitor memory cognitive functions elderly users, potentially useful advising treatments. SK Telecoms AI speaker Nugu built artificial intelligence called Aria lamp turns blue processing voice commands news, music internet searches, seen Seoul, South Korea, ... Photo: Lee Jinman, AP Photo: Lee Jinman, AP Image 1 5 Caption Close Image 1 5 SK Telecoms AI speaker Nugu built artificial intelligence called Aria lamp turns blue processing voice commands news, music internet searches, seen Seoul, South Korea, May 13, 2020. The devices use quizzes monitor memory cognitive functions elderly users, potentially useful advising treatments. SK Telecoms AI speaker Nugu built artificial intelligence called Aria lamp turns blue processing voice commands news, music internet searches, seen Seoul, South Korea, ... Photo: Lee Jinman, AP In virushit South Korea, AI monitors lonely elders 1 5 Back Gallery SEOUL, South Korea AP In cramped office eastern Seoul, Hwang Seungwon points remote control huge NASAlike overhead screen stretching walls. With flick control, colorful array pie charts, graphs maps reveals search habits thousands South Korean senior citizens monitored voiceenabled smart speakers, experimental remote care service company says increasingly needed coronavirus crisis. We closely monitor signs danger, frequently search words indicate rising states loneliness insecurity, said Hwang, director social enterprise established SK Telecom handle service. Trigger words lead recommendation visit local public health officials. As South Koreas government pushes allow businesses access vast amounts personal information ease restrictions holding telemedicine, tech firms potentially bigger markets artificial intelligence emerging technologies. The drive, resisted years civil liberty advocates medical professionals, reinvigorated technologydriven fight COVID19. It far allowed South Korea emerge coronavirus success story raised broader worries privacy sacrificed epidemiological gains. Armed infectious disease law strengthened 2015 outbreak different coronavirus, MERS, health authorities aggressively creditcard records, surveillance videos cellphone data isolate potential virus carriers. Locations patients went diagnosed published websites released cellphone alerts. Smartphone tracking apps monitor 30,000 individuals quarantined home. Starting June, entertainment venues required register customers smartphone QR codes easily located needed. But theres dark side. People managed trace online information unnamed virus carriers, exposing embarrassing personal details making targets public contempt. A low point came earlier month local media described Seoul nightclubs linked dozens infections catering sexual minorities, triggering homophobic responses. Officials reacted expanding anonymous testing, allowed people provide phone numbers names tests. There subsequent increase tests. The past months exposed stark division best ways important decisions privacy concerns collide public health needs, said Haksoo Ko, Seoul National University law professor codirector schools Artificial Intelligence Policy Initiative. Around 3,200 people country, older 70 living alone, far allowed SK Telecom speakers listen 24 hours day service launched April 2019. The company expects users double end year, judging local government interest. The technology reduced human contact welfare services providing governments tool prevent elderly residents dying alone. Thats especially needed country grappling aging population high poverty rates retirees. The speakers built artificial intelligence called Aria lamp turns blue processing voice commands news, music internet searches. The devices use quizzes monitor memory cognitive functions elderly users, potentially useful advising treatments. But difficult SK Telecoms clients use information clear legal guidelines handling health data private networks. Similar reasons impede domestic use health technologies developed Samsung Electronics, recently received approval smartwatch application monitors blood pressure. KT, SK Telecoms telecommunications rival, focused business customers, providing artificial intelligence devices speakers service robots hotels, offices new apartments. President Moon Jaeins administration said datadriven industries critical boosting pandemichit economy. Officials preparing regulations revised data laws lawmakers passed January months wrangling. They aim allow businesses greater freedom collecting analyzing anonymous personal data seeking individual consent. If work intended, optimists laws allow artificial intelligence truly pave way highly customized financial health care services start August. But activist Oh Byoungil said changes bring excessive privacy infringements robust safeguards installed. Companies endless thirst data, all, said. Doctors groups resisted government calls legalizing telemedicine, raising concerns related data security negative impact smaller hospitals. Industrial benefits limited officials right combination techniques process personal information identify individuals. Health government authorities failed pandemic. South Koreas antivirus experience provides lots lessons implications steps datadriven economy, Ko said. With data, bad more, better approach, said. An appropriate control needs baked process, decisions data access based necessity sensitivity restrict access information isnt needed. In Seouls Yangcheon district, officials SK Telecoms tech monitor 200 seniors live alone. Social workers, smartphone apps look like mini version main dashboard, calls visits users dont use devices 24 hours. Its nice talk to, said Lee Changgeun, 89yearold lived small apartment wife died years ago. But I wish developed Aria function opening doors. What good distress signal I die emergency workers try force open door? LISTEN: Exit 43 Podcast Hear latest episode new podcast Most Popular 1 Stamford Police investigate womans death West Main Street apartment 2 Roads close outdoors diners Stamford 3 Freed pandemic, Stamford teen rearrested 4 Bridgeport PD chief: We marched 5 Popular Costco perk coming 6 Lamont opens gatherings 10 indoors; expands religious services 7 Stamford man charged I95 shooting incident View Comments 2020 Hearst Communications, . Logo Return Top About Newspaper Delivery Safety Procedures Privacy Notice Your California Privacy Rights Interest Based Ads Terms Use Careers Advertising Us FAQ Todays eEdition Submissions Connect Newsletter SignUp Facebook Twitter Hearst Newspapers Hearst Media Services Connecticut, LLC | 2,020 | [
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] | 1 | NEGATIVE | 51 |
https://www.silicon.co.uk/e-innovation/artificial-intelligence/google-deepmind-solves-folding-protein-349254 | 2020-12-03T00:00:00 | en | Google DeepMind Solves Folding Protein Problem | Silicon UK Tech News |
Google DeepMind Solves Folding Protein Problem | Silicon UK Tech News
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Google DeepMind Solves 50 Year Old Folding Protein Problem
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All Tech News > category news Innovation > category news Artificial Intelligence
Google DeepMind Solves 50 Year Old Folding Protein Problem
Tom Jowitt, December 2, 2020, 11:09 am
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Breakthrough at Google’s AI unit DeepMind allow researchers to determine a protein’s 3D shape from its amino-acid sequence
Researchers at Google-owned Artificial Intelligence (AI) company DeepMind have solved a “50-year-old grand challenge” in biology known as the ‘protein folding problem.’
The ‘major scientific advance’ with the latest version of the DeepMind AI system (AlphaFold) reveals what shapes proteins fold into. This achievement has been officially recognised as a solution by the organisers of the biennial protein-structure prediction challenge called Critical Assessment of protein Structure Prediction (CASP).
“This breakthrough demonstrates the impact AI can have on scientific discovery and its potential to dramatically accelerate progress in some of the most fundamental fields that explain and shape our world,” blogged the UK-based firm.
Scientific breakthrough
“Proteins are essential to life, supporting practically all its functions,” explained DeepMind. “They are large complex molecules, made up of chains of amino acids, and what a protein does largely depends on its unique 3D structure.”
“Figuring out what shapes proteins fold into is known as the ‘protein folding problem’, and has stood as a grand challenge in biology for the past 50 years,” the firm stated.
But why is this development so important?
Well, a protein’s shape is closely linked with its function, and the ability to predict this structure unlocks a greater understanding of what it does and how it works.
According to DeepMind, many of the world’s greatest challenges, like developing treatments for diseases or finding enzymes that break down industrial waste, are fundamentally tied to proteins and the role they play.
“We have been stuck on this one problem – how do proteins fold up – for nearly 50 years,” explained Professor John Moult, co-founder and chair of CASP, University of Maryland.
“To see DeepMind produce a solution for this, having worked personally on this problem for so long and after so many stops and starts, wondering if we’d ever get there, is a very special moment,” he added.
Faster drug development
And the breakthrough has prompted reaction from AI experts.
“The Covid-19 pandemic has propelled artificial intelligence (AI) into the limelight,” said Nikolas Kairinos, CEO at Soffos.ai. “A phenomenon born out of necessity, machines have been pivotal in ensuring sick patients get the medical care that they need, and that the virus can be controlled as much as possible.”
“DeepMind’s latest breakthrough has highlighted the huge potential of AI systems in the medical space going forward,” said Kairinos. “Not only is AI a temporary solution to stem the tide of infections, but it can deliver improvements across all areas of healthcare. The protein structure problem is a challenge researchers have been working on for many years, and which held the promise of opening up new opportunities for drug development.”
“DeepMind’s discovery will advance our understanding of fundamental scientific problems, and enable us to develop better, and faster, treatments for a whole host of medical ailments – from infectious diseases to cancer,” said Kairinos.
“With the right combination of human and artificial intelligence, machines are a powerful force for good,” Kairinos concluded. “The challenge is to build public trust in AI and showcase its enormous potential to improve our lives; DeepMind’s breakthrough will undoubtedly help that cause.”
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| Google DeepMind Solves Folding Protein Problem | Google DeepMind Solves Folding Protein Problem Silicon UK Tech News insights IT professionals Follow Facebook Twitter Linkedin Google Currents IOS Application Android Application RSS Newsletters Connect for: Menu Articles Cloud Cloud Management Datacentre IAAS PAAS Server Virtualisation Data Storage Big Data Business Intelligence DataBase Storage Enterprise Financial Markets Fund raising Merger acquisition StartUp Innovation GreenIT Research Science Wearable Tech Management omes Jobs Lay Off Nominations Skills Social laws Marketing Advertising CRM eCommerce ePayment SocialMedia Mobility 4G Laptops Mobile Apps mobile OS Smartphones Tablets WLAN Networks Broadband Carriers M2M Network Management VoIP Projects CIO DevOps Outsourcing Public Sector Service Providers Software vendors Regulation Censorship GovernementIT Justice Legal SurveillanceIT Security Authentification CyberCrime Firewall Security Management Virus Software Collaboration Suites ERP Suites HR Suites Middleware Office Suites Open Source Workspace Browsers Chromebooks Components Mac OS PC Printers Whitepapers Quiz Webcasts Partnerzones Pulsant Schneider Electric Huawei Silicon 360: Breaking Down The Final Barriers To Cloud Cloud Security Big Data IoT AI 5G block chain Events IT Life Whitepapers Partner zone Pulsant for: Google DeepMind Solves 50 Year Old Folding Protein Problem Follow Facebook Twitter Linkedin Google Currents IOS Application Android Application RSS Newsletters Connect All Tech News > category news Innovation > category news Artificial Intelligence Google DeepMind Solves 50 Year Old Folding Protein Problem Tom Jowitt, December 2, 2020, 11:09 Artificial IntelligenceInnovationResearchScience Facebook Twitter Linkedin Breakthrough Googles AI unit DeepMind allow researchers determine proteins 3D shape aminoacid sequence Researchers Googleowned Artificial Intelligence AI company DeepMind solved 50yearold grand challenge biology known protein folding problem. The major scientific advance latest version DeepMind AI AlphaFold reveals shapes proteins fold into. This achievement officially recognised solution organisers biennial proteinstructure prediction challenge called Critical Assessment protein Structure Prediction CASP. This breakthrough demonstrates impact AI scientific discovery potential dramatically accelerate progress fundamental fields explain shape world, blogged UKbased firm. Scientific breakthrough Proteins essential life, supporting practically functions, explained DeepMind. They large complex molecules, chains amino acids, protein largely depends unique 3D structure. Figuring shapes proteins fold known protein folding problem, stood grand challenge biology past 50 years, firm stated. But development important? Well, proteins shape closely linked function, ability predict structure unlocks greater understanding works. According DeepMind, worlds greatest challenges, like developing treatments diseases finding enzymes break industrial waste, fundamentally tied proteins role play. We stuck problem proteins fold nearly 50 years, explained Professor John Moult, cofounder chair CASP, University Maryland. To DeepMind produce solution this, worked personally problem long stops starts, wondering wed there, special moment, added. Faster drug development And breakthrough prompted reaction AI experts. The Covid19 pandemic propelled artificial intelligence AI limelight, said Nikolas Kairinos, CEO Soffos.ai. A phenomenon born necessity, machines pivotal ensuring sick patients medical care need, virus controlled possible. DeepMinds latest breakthrough highlighted huge potential AI systems medical space going forward, said Kairinos. Not AI temporary solution stem tide infections, deliver improvements areas healthcare. The protein structure problem challenge researchers working years, held promise opening new opportunities drug development. DeepMinds discovery advance understanding fundamental scientific problems, enable develop better, faster, treatments host medical ailments infectious diseases cancer, said Kairinos. With right combination human artificial intelligence, machines powerful force good, Kairinos concluded. The challenge build public trust AI showcase enormous potential improve lives; DeepMinds breakthrough undoubtedly help cause. Read : Government Told To Open Up On AI DecisionMaking Tom SiebelFounded AI StartUp C3.ai Files For Public Offering Waymo Goes Public With SelfDriving Ride Service Recommend article: 0 0 No Comments Hide Comments Cancel replyComment Name Email Save name, email, website browser time I comment. AI Artifical Intelligence Coronavirus covid19 DeepMind silicon Sign Author: Tom Jowitt Tom Jowitt leading British tech freelancer long standing contributor Silicon UK. He bit Lord Rings nut... Click read authors bio Click hide authors bio X Brand Discovery Brand Discovery offers Advertisers opportunity speak directly professional communities. Its ad format blends editorial content overall design giving nonintrusive, flowing advertising experience. Readers easily identify provenance Brand Discovery mention. For information, contact following address: internationalsales Stay Connect Follow Facebook Twitter Linkedin Google Currents IOS Application Android Application RSS Newsletters Connect ServicesYour Account Sitemap SitesWhite Papers ChannelBiz Legal noticesSales Advertising Privacy Policy Stay touch Silicon UK NETMEDIAEUROPE : BrazilGermanyFranceItalyPortugalSpainUnited KingdomWorldWideTop NetMediaEurope 2020 . Part NetMediaEurope. About NetMediaEurope | 2,020 | [
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https://kyma.com/news/national-world/2020/12/07/florida-police-raid-home-of-former-state-covid-data-scientist/ | 2020-12-08T00:00:00 | en | Florida police raid home of former state Covid-19 data scientist - KYMA |
Florida police raid home of former state Covid-19 data scientist - KYMA
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December 7, 2020
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Florida police raid home of former state Covid-19 data scientist
Florida police raided the home of a former state coronavirus data scientist on Monday, escalating a feud between the state government and a data expert who has accused officials of trying to cover up the extent of the pandemic.
The Florida Department of Law Enforcement executed a search warrant Monday morning at the home of data scientist Rebekah Jones, who was fired by the state Department of Health in May. The agency is investigating whether Jones accessed a state government messaging system without authorization to urge employees to speak out about coronavirus deaths, according to an affidavit by an agent working on the case.
Jones told CNN that she hadn’t improperly accessed any state messaging system and that she lost access to her government computer accounts after she was removed from her position.
About 10 officers with guns drawn showed up to her Tallahassee home around 8:30 a.m., Jones said. A video taken from a camera in her house, which she posted on social media, showed an officer pointing a gun up a stairwell as Jones told him her two children were upstairs. Jones said that the officer was pointing his gun at her 2-year-old daughter, 11-year-old son and her husband, who she said were in the stairwell, although the video doesn’t make that clear.
Officers also “pointed a gun six inches from my face” and took all of her computers, her phone and several hard drives and thumb drives, Jones said.
Gretl Plessinger, a spokesperson for the law enforcement department, said that agents knocked on Jones’ door and called her “in an attempt to minimize disruption to the family.” Jones refused to come to the door for 20 minutes and hung up on the agents, and Jones’ family was upstairs when agents did enter the house, Plessinger said. She didn’t respond to questions about why the officers drew guns.
According to the affidavit by an investigator with the department, an unauthorized individual illegally accessed a state government emergency management system to send a group text message to government officials last month urging them to speak out about the coronavirus crisis.
“It’s time to speak up before another 17,000 people are dead,” the message said, according to the affidavit. “You know this is wrong. You don’t have to be part of this. Be a hero. Speak out before it’s too late.”
Officials traced the message, which was sent on the afternoon of November 10 to about 1,750 recipients, to an IP address connected to Jones’ house, the investigator wrote in the affidavit.
Jones told CNN’s Chris Cuomo on Monday night that she didn’t send the message.
“I’m not a hacker,” Jones said. She added that the language in the message that authorities said was sent was “not the way I talk,” and contained errors she would not make.
“The number of deaths that the person used wasn’t even right,” Jones said. “They were actually under by about 430 deaths. I would never round down 430 deaths.”
Among the devices taken by officers were flash drives that Jones told CNN contained “proof that (state officials) were lying in January about things like internal reports and notices from the CDC,” as well as “evidence of illegal activities by the state.” She said that she accessed those reports legally and some had been sent to her by other people after she left the state government.
Jones said she believed the raid on her home was orchestrated by Gov. Ron DeSantis, who she’s publicly accused of mishandling the pandemic.
“This is what happens when you challenge powerful and corrupt people,” Jones said. “If he thinks this is going to scare me into silence, he’s wrong.”
DeSantis spokesperson Fred Piccolo told CNN that “the governor’s office had no involvement, no knowledge, no nothing, of this investigation.” He added that the law enforcement department launched an investigation into the message before anyone knew about Jones’ alleged involvement. The health department referred a request for comment to the law enforcement department.
Jones, who helped build the state’s online coronavirus data dashboard, was fired in May, in what she argued was retaliation for her refusal to fudge the numbers and minimize the scale of the outbreak. She has publicly alleged that a superior at the department asked her to manipulate the state’s data to make it appear Florida was closer to meeting its reopening targets than it actually was.
But state officials have defended her dismissal.
The health department said in May that Jones was removed because she had “exhibited a repeated course of insubordination,” making “unilateral decisions to modify the Department’s COVID-19 dashboard without input or approval from the epidemiological team or her supervisors.”
And DeSantis said at the time that Jones’ removal from her position was a “nonissue.”
Jones filed a whistleblower complaint against the health department in July, asking to be reinstated to her job with back pay. She also launched her own online dashboard of Florida coronavirus data — a website that ran off one of the computers officers seized Monday, she said.
Jones was previously charged with stalking last year after allegedly posting explicit photos of an ex-boyfriend online, a criminal misdemeanor case that is still pending. She told CNN the case involved a blog post she posted in an online group for women who had been in abusive relationships. On Sunday, a defense attorney for Jones filed a motion to withdraw from the case because he learned “an immediate family member is involved in an active investigation” of Jones, though he did not share any details on that investigation.
When DeSantis discussed Jones’ firing in May, he referenced the alleged stalking case, saying “she should have been dismissed long before.”
CNN
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| Florida police raid home of former state Covid-19 data scientist | Florida police raid home state Covid19 data scientist KYMA circlearrow Play Button Stop Button chevronright chevronleft chevronup search warning chevronleftskinny chevronrightskinny x clock calendar playbutton cancelcircle user twitter facebook youtube instagram email linkedin News As Seen TV Crime Coronavirus Desert Southwest Home Grown Immigration Imperial County Mexico Military NationalWorld Polls Yuma County Traffic Weather Local Forecast Weather Alerts Sports College Sports High School Sports Regional Sports Noticias 3 Clima Decisin 2020 Telemundo Noticias CNN Noticias Mxico Programacion Telemundo en Vivo Decision 2020 Desert Southwest Living Consumer Health Technology Education News The Good Stuff Play Entertainment Events Videos Galleries Livestream Newscasts Livestream Special Coverage Must See Photo Galleries Shop DSWLocalLinks Cancer Resources Health Connections Share Sunrise Birthdays ShoutOuts About Advertise With Us Closed Captioning Us Download Our Apps EEO Reports FCC Public Files JobsInternships TV Listings Meet Team Fox 9 Skip Content News Weather Traffic DSWLocalLinks Noticias Play Share Watch Yuma 66 Top Stories New IID directors hold swearingin ceremony Veterans gather honor fallen injured Pearl Harbor Hundreds line rapid COVID19 testing Somerton reased number COVID19 cases Yuma prison Biden picks retired Gen. Lloyd Austin secretary defense, source says Mexicali goes red light coronavirus cases surge NBC Coronavirus Livestream NationalWorld By CNN Published December 7, 2020 8:34 pm Share FacebookShare Twitter Share Linkedin Florida police raid home state Covid19 data scientist Florida police raided home state coronavirus data scientist Monday, escalating feud state government data expert accused officials trying cover extent pandemic. The Florida Department Law Enforcement executed search warrant Monday morning home data scientist Rebekah Jones, fired state Department Health May. The agency investigating Jones accessed state government messaging authorization urge employees speak coronavirus deaths, according affidavit agent working case. Jones told CNN hadnt improperly accessed state messaging lost access government accounts removed position. About 10 officers guns drawn showed Tallahassee home 8:30 a.m., Jones said. A video taken camera house, posted social media, showed officer pointing gun stairwell Jones told children upstairs. Jones said officer pointing gun 2yearold daughter, 11yearold son husband, said stairwell, video doesnt clear. Officers pointed gun inches face took computers, phone hard drives thumb drives, Jones said. Gretl Plessinger, spokesperson law enforcement department, said agents knocked Jones door called attempt minimize disruption family. Jones refused come door 20 minutes hung agents, Jones family upstairs agents enter house, Plessinger said. She didnt respond questions officers drew guns. According affidavit investigator department, unauthorized individual illegally accessed state government emergency management send group text message government officials month urging speak coronavirus crisis. Its time speak 17,000 people dead, message said, according affidavit. You know wrong. You dont this. Be hero. Speak late. Officials traced message, sent afternoon November 10 1,750 recipients, IP address connected Jones house, investigator wrote affidavit. Jones told CNNs Chris Cuomo Monday night didnt send message. Im hacker, Jones said. She added language message authorities said sent way I talk, contained errors make. The number deaths person wasnt right, Jones said. They actually 430 deaths. I round 430 deaths. Among devices taken officers flash drives Jones told CNN contained proof state officials lying January things like internal reports notices CDC, evidence illegal activities state. She said accessed reports legally sent people left state government. Jones said believed raid home orchestrated Gov. Ron DeSantis, shes publicly accused mishandling pandemic. This happens challenge powerful corrupt people, Jones said. If thinks going scare silence, hes wrong. DeSantis spokesperson Fred Piccolo told CNN governors office involvement, knowledge, nothing, investigation. He added law enforcement department launched investigation message knew Jones alleged involvement. The health department referred request comment law enforcement department. Jones, helped build states online coronavirus data dashboard, fired May, argued retaliation refusal fudge numbers minimize scale outbreak. She publicly alleged superior department asked manipulate states data appear Florida closer meeting reopening targets actually was. But state officials defended dismissal. The health department said May Jones removed exhibited repeated course insubordination, making unilateral decisions modify Departments COVID19 dashboard input approval epidemiological team supervisors. And DeSantis said time Jones removal position nonissue. Jones filed whistleblower complaint health department July, asking reinstated job pay. She launched online dashboard Florida coronavirus data website ran computers officers seized Monday, said. Jones previously charged stalking year allegedly posting explicit photos exboyfriend online, criminal misdemeanor case pending. She told CNN case involved blog post posted online group women abusive relationships. On Sunday, defense attorney Jones filed motion withdraw case learned immediate family member involved active investigation Jones, share details investigation. When DeSantis discussed Jones firing May, referenced alleged stalking case, saying dismissed long before. CNN Related Articles US humanitarian migration protection extended Honduras countries A Staten Island bar manager hit deputy car trying escape arrest, NYC sheriffs office says Georgia governor recertifies presidential electors recount requested Trump affirms Biden win The Latest: UN makes Dec. 27 Epidemic Preparedness day Comments Leave Reply Cancel replyYou logged post comment. Terms Use KYMA EEO Reports KECY EEO Reports FCC Public Files JobsInternships Do Not Sell My Personal Information Newsletters Daily News Updates Breaking News Morning Weather Severe Weather Alerts Contests Promotions Download App Available iOS Android 2020 KYMA NPG YumaEl Centro Broadcasting. KYMACBS 13KECY equal opportunity employer. Skip content Open toolbar Accessibility Tools rease Text Decrease Text Grayscale High Contrast Negative Contrast Light Background Links Underline Readable Font Reset | 2,020 | [
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http://creativemac.digitalmedianet.com/2020/06/17/nationally-renowned-orthoindy-uses-the-saykara-mobile-ai-assistant-to-liberate-doctors-from-ehr-documentation/ | 2020-06-17T00:00:00 | en | Nationally-renowned OrthoIndy uses the Saykara mobile AI assistant to liberate doctors from EHR documentation | Creative Mac |
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Nationally-renowned OrthoIndy uses the Saykara mobile AI assistant to liberate doctors from EHR documentation
Posted on June 17, 2020
New technology powered by artificial intelligence has allowed the Indianapolis-based orthopedic practice to eliminate after-hours charting and restore work-life balance.
SEATTLE–(BUSINESS WIRE)–#AI–Before adopting the Saykara mobile AI assistant, Kara, many doctors at OrthoIndy spent evenings or weekends catching up on documentation. Now, they enjoy a renewed sense of work-life balance.
“The Saykara solution has been very helpful in reducing the amount of time it takes our doctors to complete their documentation, which in turn has alleviated the stress that comes with falling behind or having scarce few hours for themselves and their families,” says Timothy Dicke, MD, president and CEO of OrthoIndy. “Technology that allows our doctors to focus their time and attention on delivering high-quality care is a direct reflection of our organizational mission and our commitment to patients.”
The voice-enabled Kara app can be used in two primary modes. In the ambient mode, Kara listens in real time to a conversation between the doctor and patient during an on-premise or telehealth encounter. In recap mode, Kara listens to a brief reflective summarization the doctor dictates following an encounter. Kara’s underlying machine learning algorithms interpret and transform salient content required for notes, orders, referrals and more, which is then automatically populated to the electronic health record (EHR) system. OrthoIndy uses the TouchWorks EHR from Allscripts.
“Most everyone has heard of artificial intelligence, or AI, but I suspect most people don’t understand what it is unless they work in the tech field,” says Mahir Patel, MD, an orthopedic surgeon at OrthoIndy. “All I know is, it makes my life so much easier. Not only has it saved me two and a half hours a night, I’m no longer tied to a computer and staring at a screen. I can give my full attention to my patients, and I even have time during visits to talk with them about their vacations, grandkids or restaurants they recommend. And when all is said and done, I get a detailed, structured note with very little time and effort on my part.”
Burnout among healthcare providers is an undeniable epidemic, and the documentation burden is a leading contributor. A study published in the Annals of Medicine observed that doctors spend nearly twice as much time doing administrative tasks as they do seeing patients: 49 percent versus 27 percent.
Kosmas Kayes, MD, a pediatric orthopedic surgeon at OrthoIndy, says, “The worst part of our job is trying to keep up with the documentation, it’s just unbelievably time consuming. Since I’ve been using Kara, I can go home at the end of the day and be done instead of worrying that I’m behind and having to spend hours on the weekend catching up.”
The Kara app is compatible with any iOS computing device. No special hardware or listening apparatus is required, the solution is completely portable. Most doctors at OrthoIndy use the Kara app on their iPhone. “I can use Kara anywhere, anytime, which is great,” says Renn Crichlow, MD, an orthopedic trauma surgeon at OrthoIndy. “I use it in the office, I use it in my car, I use it in the OR and I use it when I’m walking down the hallway between patients.”
He adds, “It has given me so much freedom, I feel like a weight has been lifted and I can get a lot more done.”
Watch a video about OrthoIndy’s experience with Kara.
About Saykara
Saykara is combatting burnout and elevating productivity among physicians through its fully ambient and autonomous AI-powered assistant. Use of the company’s voice-enabled mobile app, Kara, is proven to reduce time spent charting by 70%, eliminate after-hours charting by 100%, and enhance note quality and completeness by 25%. Additionally, by freeing physicians from their keyboards and relieving them of burdensome data entry, patients enjoy more personalized, less hurried visits. Kara is specialty agnostic, scalable at the enterprise level and available through a software-as-a-service (SaaS) subscription. For additional information, visit www.saykara.com.
About OrthoIndy
Founded over 50 years ago, OrthoIndy is one of the most highly respected orthopedic practices in the Midwest. With over 80 physicians providing care to central Indiana residents from more than 10 convenient locations, OrthoIndy provides leading-edge bone, joint, spine and muscle care. OrthoIndy is the official orthopedic provider for the Indiana Pacers and Indiana Fever. OrthoIndy’s sports medicine team provides care to Butler University, Marian University, Franklin College and Dance Kaleidoscope, as well as local high schools.
Owned and operated by OrthoIndy physicians, OrthoIndy Hospital is central Indiana’s first specialty hospital with a direct focus on bone, joint, spine and muscle care and the most technologically advanced facility available for orthopedics in the Midwest. As a physician-owned hospital model, OrthoIndy Hospital’s top priorities are patient safety, satisfaction and outcomes.
Quality patient care serves as the foundation for the physician-owned and operated hospital, which is evident in the ratings received from Press Ganey Associates LLC and Healthgrades. From 2013 to 2019, OrthoIndy Hospital was named a Guardian of Excellence Award winner for consistently achieving the 95th percentile of performance in patient satisfaction. From 2009 to 2012, OrthoIndy Hospital was named the Summit Award Winner for sustaining the highest level of customer satisfaction for three or more consecutive years. In 2020, OrthoIndy Hospital was named the Healthgrades 2020 Patient Safety Excellence Award winner for achieving the top 5% of all short-term acute care hospitals reporting patient safety data as evaluated by Healthgrades. From 2014 to 2020, Healthgrades named OrthoIndy Hospital a Five-Star Recipient for Spinal Fusion Surgery and Total Hip Replacement. From 2008 to 2020, Healthgrades named OrthoIndy Hospital a Five-Star Recipient for Total Knee Replacement.
For more information on OrthoIndy, please call 317.802.2000 or visit us at OrthoIndy.com.
Contacts
Joy Efron
Vice President Marketing
Saykara
[email protected]
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| Nationally-renowned OrthoIndy uses the Saykara mobile AI assistant to liberate doctors from EHR documentation | Nationallyrenowned OrthoIndy uses Saykara mobile AI assistant liberate doctors EHR documentation Creative Mac Creative Mac for: Home DMN Creative Mac Home DMN for: HomeNewsNationallyrenowned OrthoIndy uses Saykara mobile AI assistant liberate doctors EHR documentation News Nationallyrenowned OrthoIndy uses Saykara mobile AI assistant liberate doctors EHR documentation Posted June 17, 2020 New technology powered artificial intelligence allowed Indianapolisbased orthopedic practice eliminate afterhours charting restore worklife balance. SEATTLEBUSINESS WIREAIBefore adopting Saykara mobile AI assistant, Kara, doctors OrthoIndy spent evenings weekends catching documentation. Now, enjoy renewed sense worklife balance. The Saykara solution helpful reducing time takes doctors complete documentation, turn alleviated stress comes falling scarce hours families, says Timothy Dicke, MD, president CEO OrthoIndy. Technology allows doctors focus time attention delivering highquality care direct reflection organizational mission commitment patients. The voiceenabled Kara app primary modes. In ambient mode, Kara listens real time conversation doctor patient onpremise telehealth encounter. In recap mode, Kara listens brief reflective summarization doctor dictates following encounter. Karas underlying machine learning algorithms interpret transform salient content required notes, orders, referrals more, automatically populated electronic health record EHR system. OrthoIndy uses TouchWorks EHR Allscripts. Most heard artificial intelligence, AI, I suspect people dont understand work tech field, says Mahir Patel, MD, orthopedic surgeon OrthoIndy. All I know is, makes life easier. Not saved half hours night, Im longer tied staring screen. I attention patients, I time visits talk vacations, grandkids restaurants recommend. And said done, I detailed, structured note little time effort part. Burnout healthcare providers undeniable epidemic, documentation burden leading contributor. A study published Annals Medicine observed doctors spend nearly twice time administrative tasks seeing patients: 49 percent versus 27 percent. Kosmas Kayes, MD, pediatric orthopedic surgeon OrthoIndy, says, The worst job trying documentation, unbelievably time consuming. Since Ive Kara, I home end day instead worrying Im spend hours weekend catching up. The Kara app compatible iOS computing device. No special hardware listening apparatus required, solution completely portable. Most doctors OrthoIndy use Kara app iPhone. I use Kara anywhere, anytime, great, says Renn Crichlow, MD, orthopedic trauma surgeon OrthoIndy. I use office, I use car, I use OR I use Im walking hallway patients. He adds, It given freedom, I feel like weight lifted I lot done. Watch video OrthoIndys experience Kara. About Saykara Saykara combatting burnout elevating productivity physicians fully ambient autonomous AIpowered assistant. Use companys voiceenabled mobile app, Kara, proven reduce time spent charting 70, eliminate afterhours charting 100, enhance note quality completeness 25. Additionally, freeing physicians keyboards relieving burdensome data entry, patients enjoy personalized, hurried visits. Kara specialty agnostic, scalable enterprise level available softwareasaservice SaaS subscription. For additional information, visit About OrthoIndy Founded 50 years ago, OrthoIndy highly respected orthopedic practices Midwest. With 80 physicians providing care central Indiana residents 10 convenient locations, OrthoIndy provides leadingedge bone, joint, spine muscle care. OrthoIndy official orthopedic provider Indiana Pacers Indiana Fever. OrthoIndys sports medicine team provides care Butler University, Marian University, Franklin College Dance Kaleidoscope, local high schools. Owned operated OrthoIndy physicians, OrthoIndy Hospital central Indianas specialty hospital direct focus bone, joint, spine muscle care technologically advanced facility available orthopedics Midwest. As physicianowned hospital model, OrthoIndy Hospitals priorities patient safety, satisfaction outcomes. Quality patient care serves foundation physicianowned operated hospital, evident ratings received Press Ganey Associates LLC Healthgrades. From 2013 2019, OrthoIndy Hospital named Guardian Excellence Award winner consistently achieving 95th percentile performance patient satisfaction. From 2009 2012, OrthoIndy Hospital named Summit Award Winner sustaining highest level customer satisfaction consecutive years. In 2020, OrthoIndy Hospital named Healthgrades 2020 Patient Safety Excellence Award winner achieving 5 shortterm acute care hospitals reporting patient safety data evaluated Healthgrades. From 2014 2020, Healthgrades named OrthoIndy Hospital FiveStar Recipient Spinal Fusion Surgery Total Hip Replacement. From 2008 2020, Healthgrades named OrthoIndy Hospital FiveStar Recipient Total Knee Replacement. For information OrthoIndy, 317.802.2000 visit . 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https://www.thehour.com/news/article/Museum-of-Science-launches-COVID-19-AI-experience-15489369.php | 2020-08-17T00:00:00 | en | Museum of Science launches COVID-19 AI experience - The Hour |
Museum of Science launches COVID-19 AI experience - The Hour
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https://www.thehour.com/news/article/Museum-of-Science-launches-COVID-19-AI-experience-15489369.php
Museum of Science launches COVID-19 AI experience
Updated
11:14 am EDT, Monday, August 17, 2020
BOSTON (AP) — Boston's Museum of Science and a top Harvard University health expert have teamed up to make it easier for anyone anywhere in the world to get answers to their burning questions about the coronavirus pandemic.
The interactive exhibit, featuring Dr. Ashish Jha and using StoryFile’s conversational video artificial intelligence technology, was unveiled Monday, the museum said in a statement.
“ Ask a Virtual Expert: COVID Conversations with Dr. Jha " allows the curious both on-site and remotely to ask a digital image of Jha a multitude of questions about COVID-19. The answers are based on Jha's responses to more than 550 questions.
The museum's goal is to make complex scientific topics accessible, President Tim Ritchie said in a statement. “The suite of COVID exhibit content we present in the museum and online — especially the opportunity to have a “personal” conversation with an AI version of one of the world’s leading public health scientists — does just that,” he said.
Jha is a professor of global health at Harvard and director of the Harvard Global Health Institute.
“Collaborating with the Museum of Science on this experience was, for me, an extraordinary opportunity to reach people — children and adults alike — with fact-based information about health policy, disease transmission, the importance of masks and social distancing and global efforts to combat COVID-19," he said in a statement.
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| Museum of Science launches COVID-19 AI experience | Museum Science launches COVID19 AI experience The Hour Home Us Manage Subscription Careers With Us Advertise With Us Archives FAQ Newsletters Terms Of Use Digital Edition Submissions Police: Man killed I95 pedestrian accident Norwalk Police: Pedestrian killed vehicle I95 Norwalk bookkeeper gets 8 months embezzlement scheme 6 escape boat explosion Norwalk Harbor News Local Crime Wilton Education Nation World Politics Regional Opinion Were SEEN? Election Police: Man killed I95 pedestrian accident Norwalk Police: Pedestrian killed vehicle I95 Norwalk bookkeeper gets 8 months embezzlement scheme 6 escape boat explosion Norwalk Harbor Sports High School High School Scoreboard MLB NBA NFL Hockey More Sports Little League Norwalks Vigil, McMahons Lister earn recognition Norwalks Coulter, Aragon honored National Football With family biggest fans, Norwalks Evan Adams signs Allstate lineman Gulbin Wilton commits Wake Forest Business Markets Top Workplaces Burger joint closes 10 years Norwalk strip Bowling, bocce South Norwalk return Pinstripes Star turns Bridgeport, New Haven, Norwalk tourism campaign New model suggests 46K CT properties greater risk flooding Real Estate Entertainment Movies Arts Music Television Comics Puzzles Games Events Norwalks LockwoodMathews reopening tours Rowayton Arts Center hosts Painting en Plein Air workshop Norwalk TikTok stars host new podcast Teacher Norwalk compete Jeopardy Living Health Family Travel Home Garden Seniors Religion Food Norwalkers CT Magazines 40 Under 40 Class 2019 Norwalkarea natives Connecticut Mag 40 Under 40 Undie Sunday United Church Rowayton House Calls: New blood pressure recommendations cause headaches Obituaries Open Business Classifieds Jobs Cars Todays Paper Insider MenuSections Museum Science launches COVID19 AI experience Updated 11:14am EDT, Monday, August 17, 2020 BOSTON AP Bostons Museum Science Harvard University health expert teamed easier world answers burning questions coronavirus pandemic. The interactive exhibit, featuring Dr. Ashish Jha StoryFiles conversational video artificial intelligence technology, unveiled Monday, museum said statement. Ask Virtual Expert: COVID Conversations Dr. Jha allows curious onsite remotely ask digital image Jha multitude questions COVID19. The answers based Jhas responses 550 questions. The museums goal complex scientific topics accessible, President Tim Ritchie said statement. The suite COVID exhibit content present museum online especially opportunity personal conversation AI version worlds leading public health scientists that, said. Jha professor global health Harvard director Harvard Global Health Institute. Collaborating Museum Science experience was, me, extraordinary opportunity reach people children adults alike factbased information health policy, disease transmission, importance masks social distancing global efforts combat COVID19, said statement. The Hour Insider Thumbnail Collection See Insider home Getting There: Storm aftermath shows CT learning BY Jim Cameron Jacobs: Our studentathletes deserve better adult leadership BY Jeff Jacobs CT parents, teachers, seek alternatives inschool learning BY Pam McLoughlin Utilities cut workers, earnings rise despite criticism BY Bill Cummings Experts: Hardening grid costly BY Alexander Soule Todays Top Insider Stories Our journalists provide indepth analysis reporting people, places issues matter you. rs access comprehensive coverage. Stories Insider LISTEN: Exit 43 Podcast Hear latest episode new podcast Most Popular 1 Dear Abby: Report online scam help 2 Reports: COVID19 possibly spread youth hockey players... 3 Police: Man killed I95 pedestrian accident Norwalk 4 Police: Pedestrian killed vehicle I95 5 No, selfproclaimed psychic predict coronavirus 6 Ash Christian, EmmyWinning Producer Actor, Dies 35 7 Vision Stamford boatyard site pipe dream View Comments 2020 Hearst Communications, . Logo Return Top About Newspaper Delivery Safety Procedures Privacy Notice Your California Privacy Rights Interest Based Ads Terms Use Careers Advertising Us FAQ Todays eEdition Submissions Connect Newsletter SignUp Facebook Twitter Instagram Pinterest Hearst Newspapers Hearst Media Services Connecticut, LLC | 2,020 | [
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https://www.dailystar.co.uk/news/world-news/sex-robots-smile-wink-incredible-23116347 | 2020-12-04T00:00:00 | en | Sex robots 'smile and wink' with incredible human-like AI heads - Daily Star |
Sex robots 'smile and wink' with incredible human-like AI heads - Daily Star
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NewsSex robots 'smile and wink' with incredible human-like AI headsEXCLUSIVE: The models, created by British company LoveDolls, can "move just like real humans". While their responses to questions are currently limited, a spokesman for the manufacturer said the AI is "getting better every year"dailystarShare CommentsSubscriptionsSign OutByTom TowersSenior News Reporter15:32, 4 DEC 2020NewsThe heads can 'respond to many questions and make sexual noises' (Image: Liu Susan/YouTube)The Daily Star's FREE newsletter is spectacular! Sign up today for the best stories straight to your inboxSign up today!When you subscribe we will use the information you provide to send you these newsletters. Sometimes they’ll include recommendations for other related newsletters or services we offer. OurPrivacy Noticeexplains more about how we use your data, and your rights. You can unsubscribe at any time.Thank you for subscribingWe have more newslettersShow meSee ourprivacy noticeInvalid Email A sex doll company has created groundbreaking new models with “ AI heads” that can smile and wink, the Daily Star can reveal. British manufacturer LoveDolls, situated inside the world’s biggest sex doll factory in the city of Zhongshan, China, has been busy adding features to its products this year – which are becoming “more robotic”. Staff have been working on a range of adaptations to match customers’ demands since the introduction of coronaviruslockdowns across the world, including “fantasy alien dolls”. They have also developed more innovative features, with the AI improving “every year”. Company spokesman Adam told the Daily Star: “This year we’ve invented some new features which are kind of becoming more robotic.
While their responses are currently limited, the AI is 'getting better every year'
(Image: Liu Susan/YouTube)
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“So last year the most robotic feature we had was a heated body where you could heat a whole body to 37C. “Now this year, about two months ago, my company brought out a breathing feature which means that the doll’s chest goes up and down like it’s breathing and you can feel the air coming in and out of the nose.” Purchasing the heated body or breathing features will set customers back an additional $250 (£187) apiece.
Manufacturer LoveDolls says its models are becoming 'more robotic'
(Image: Liu Susan/YouTube)
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They are also offering dolls with AI heads that “respond to many questions and make sexual noises and/or facial expressions like smiles and winks”. Adam explained: “Their foreheads, temples and cheeks are moving just like real humans. These heads cost $1,500 (£1,115) each. “Various types of AI heads are available. The most popular addition is a $70 (£52) small speaker implanted in the head which just makes moaning noises.
A company spokesman said they can move 'just like real humans'
(Image: Liu Susan/YouTube)
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“This can either be voice-activated, or we can implant touch sensors in the chest. This feature also has 20 phrases to set questions you can ask it. “The other AI heads we offer are $3,000 (£2,230) each, and respond to a very wide range of questions. They will also say sexual or complimentary statements. “Currently the AI technology is only at a stage where the doll will only say specific responses when asked specific questions, and will mention specific questions it has been programmed to do. In the future this will definitely improve, and is getting better every year.”
The heads cost an additional £52, £1,115 or £2,230
(Image: Liu Susan/YouTube)
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The average price of a doll sold by the company is $1,800 (£1,361). Last month, LoveDolls revealed that customers were asking for “monster” features, including tails and vampire teeth. The company was receiving such requests once or twice a week. Customers have also demanded strange eye colours, hooves, and red and blue skin.
The average price of a doll sold by the company is £1,361
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Adam believes the uptick has occurred because more people are stuck at home playing computer games, with Covid restrictions in place across the world. He said: “I have come to this conclusion from not just the sales, but all the email requests. “Before lockdown the majority of email requests were asking for dolls that looked like specific porn stars or movie stars.
“However, nowadays the vast majority of requests are for fantasy characters from computer games or movies. “They almost always have a sexy human body, but with a pretty face and alien features such as elf heads, colourful skin, horns, crazy eye colours and vampire teeth.”More OnSex Robot
NewsallMost ReadMost RecentCrimeBusty cartel assassin takes pleasure in tormenting her many victims on SnapchatThe gun-toting beauty, known only as La Cholita, is believed to be a member of the Jalisco New Generation Cartel, which is currently engaged in a bloody turf war with other drug gangs across MexicoHeartbroken mum offers £15k reward after ultra-rare dogs worth £25,000 stolenDogsLilac Chow Chows Bonnie & Clyde disappeared from their Essex home on Friday with neighbours reporting strange noises, and owner Dani is convinced someone has stolen them to breed the rare dogsGerman shepherd puppy's adorable reaction to seeing his reflection melts heartsGerman shepherdThe heartwarming footage has been seen a whopping 6.9 million times since being shared to TikTok by Ella Williams. Viewers claimed the pooch looked like he was waving to himselfEerie photos show abandoned farmhouse left untouched for nearly 70 yearsIn the NewsThe sprawling country house was abandoned decades ago after a family quarrel over an inheritance, and looks to have remained untouched for a lifetimeSex robot's AI brain laid bare in image that shows inner wirings of erotic playthingSex RobotRealDoll shared the unique image that offers fans a look at the inner wirings of their AI dolls that are so advanced they can hold a conversation and memorise details about their ownersIn the NewsMissing monolith 'spotted hovering in the sky' by plumber passing byJeff Jacobs says the mysterious black rectangle in the middle of his photos of an Idaho sunset could be the elusive monolith that keeps popping up in various locations around the worldCat discovers neighbour's doorbell camera at night and comes to say 'hello'CatsThe black feline jumped up on a chair by the neighbour's front door and peeked around the window before it spotted the motion-detecting security camera and stared at itBrits love a sing-a-long as ingredients for perfect roadtrip revealedIn the NewsA new survey of 2,000 Brits revealed that we love a sing-a-long when we hit the open road and dream of cruising along the coast with a sea view for the ultimate road tripLeaked Pentagon UFO picture shows mystery 'silver cube' hovering near USAF pilotUFOAn unpublished report from the Pentagon's UAP Task Force includes incredible reports from fighter pilots and submariners who have witnessed mystery objects that have "gone viral"McDonald's thug beat up manager because his 'nuggets weren't cooked properly'Courts"Bully boy" Karl Hughes was already on bail when he brutally beat up a McDonald's manager in Atherton, Manchester, believing that his chicken nuggets were not cookedMost ReadMost RecentCoronation StreetCorrie Faye Windass star Ellie Leach's life off-screen from hunky boyfriend to makeoversCoronation Street actress Ellie Leach is currently at the heart of a traumatic abuse storyline on the cobbles, with her character, Faye Windass, falling victim to her boss' leacherous behaviourBusty cartel assassin takes pleasure in tormenting her many victims on SnapchatCrimeThe gun-toting beauty, known only as La Cholita, is believed to be a member of the Jalisco New Generation Cartel, which is currently engaged in a bloody turf war with other drug gangs across MexicoHeartbroken mum offers £15k reward after ultra-rare dogs worth £25,000 stolenDogsLilac Chow Chows Bonnie & Clyde disappeared from their Essex home on Friday with neighbours reporting strange noises, and owner Dani is convinced someone has stolen them to breed the rare dogsGogglebox's Tom Malone Jr says he's open to leaving show as he moves in with girlfriend GoggleboxEXCLUSIVE: Gogglebox star Tom Malone Jr has admitted he is open to leaving the hit Channel 4 show if the right opportunity came along – adding that even though he is moving in with his girlfriend, bosses won't let her appear on the seriesLiverpool set to put two first-team stars up for sale during January transfer windowLiverpool FCPremier League champions Liverpool could look to raise some transfer funds in January by selling first-team stars Divock Origi and Xherdan Shaqiri during the windowBootsBoots extends opening hours of more than 300 stores in lead-up to ChristmasBoots is extending its opening hours in order to allow people to shop more safely in the lead-up to ChristmasOle Gunnar Solskjaer strangely encourages Man Utd players to use energy of West Ham fansManchester United FCOle Gunnar Solskjaer wants his Manchester United players to somehow use the energy of West Ham supporters to their advantage when they travel to the London Stadium in the Premier LeagueMissing monolith 'spotted hovering in the sky' by plumber passing byIn the NewsJeff Jacobs says the mysterious black rectangle in the middle of his photos of an Idaho sunset could be the elusive monolith that keeps popping up in various locations around the worldStrictly's Shirley Ballas stopped eating because Darcey Bussell's figure made her insecureStrictly Come DancingStrictly's Shirley Ballas, 60, said she was driven to become "super thin" and dropped to a size 6 after joining the show in 2017 because Darcey Bussel's figure made her insecureFitness trainer says French bulldog workout helps her build a curvy bum at homeDogsHeidy Espaillat shared her workout ideas to inspire dog lovers to stay active with the help of their pets. 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| Sex robots 'smile and wink' with incredible human-like AI heads | Sex robots smile wink incredible humanlike AI heads Daily Star dailystarLoad mobile navigationCoronavirusFootballTransfersExpandNewsLatest NewsWorld NewsWeird NewsPoliticsExpandShowbizCelebsMusicMoviesExpandTVEmmerdaleCoronation StreetEastendersHollyoaksIm A CelebX FactorStrictlyTOWIEBritains Got TalentBig BrotherExpandSportMotoGPSnookerDartsBoxingUFCF1Rugby LeagueRacingOtherMotorsportExpandLife StyleReal LifeLove SexDiet FitnessFashion BeautyHealthJust JaneCarsMoneyCompetitionsExpandTechGamingGuidesReviewsTech NewsExpandTravelTravel NewsAdventureBeachPartyExpandPicsCelebrity GalleriesPicturesWeird GalleriesSport GalleriesGaming Tech GalleriesExpandIn Your AreaMy AccountSubscriptionsSign OutFollow usFuneral NoticesShopHoroscopesStar Wins CasinoOur Paper UsWork usDiscount Codesfootie5Sports Betting CasinoPlay Star WinsMemoryLaneCommunity StandardsCompetition Rules NoticeCorrections ClarificationsHow ComplainOur BrandsPrivacy NoticeRSS feedsNewsletter Signup Daily Star Daily Star On Sunday newspapers tablet edition 2020 Reach plc subsidiary frontNewsWorld NewsSex Robot NewsSex robots smile wink incredible humanlike AI headsEXCLUSIVE: The models, created British company LoveDolls, like real humans. While responses questions currently limited, spokesman manufacturer said AI getting better yeardailystarShareCommentsSubscriptionsSign OutByTom TowersSenior News Reporter15:32, 4 DEC 2020NewsThe heads respond questions sexual noises Image: Liu SusanYouTubeThe Daily Stars FREE newsletter spectacular Sign today best stories straight inboxSign todayWhen subscribe use information provide send newsletters. Sometimes theyll include recommendations related newsletters services offer. OurPrivacy Noticeexplains use data, rights. You unsubscribe time.Thank subscribingWe newslettersShow meSee ourprivacy noticeInvalid Email A sex doll company created groundbreaking new models AI heads smile wink, Daily Star reveal. British manufacturer LoveDolls, situated inside worlds biggest sex doll factory city Zhongshan, China, busy adding features products year robotic. Staff working range adaptations match customers demands introduction coronaviruslockdowns world, including fantasy alien dolls. They developed innovative features, AI improving year. Company spokesman Adam told Daily Star: This year weve invented new features kind robotic. While responses currently limited, AI getting better year Image: Liu SusanYouTube Read More Related Articles Sign Daily Stars newsletter biggest stories day Read More Related Articles Sex robots AI brain laid bare image shows inner wirings erotic plaything So year robotic feature heated body heat body 37C. Now year, months ago, company brought breathing feature means dolls chest goes like breathing feel air coming nose. Purchasing heated body breathing features set customers additional 250 187 apiece. Manufacturer LoveDolls says models robotic Image: Liu SusanYouTube Read More Related Articles Groundbreaking AI solves biology mystery holy grail treating diseases They offering dolls AI heads respond questions sexual noises andor facial expressions like smiles winks. Adam explained: Their foreheads, temples cheeks moving like real humans. These heads cost 1,500 1,115 each. Various types AI heads available. The popular addition 70 52 small speaker implanted head makes moaning noises. A company spokesman said like real humans Image: Liu SusanYouTube Read More Related Articles Bodybuilder finally marries beloved sex doll groundbreaking ceremony This voiceactivated, implant touch sensors chest. This feature 20 phrases set questions ask it. The AI heads offer 3,000 2,230 each, respond wide range questions. They sexual complimentary statements. Currently AI technology stage doll specific responses asked specific questions, mention specific questions programmed do. In future definitely improve, getting better year. The heads cost additional 52, 1,115 2,230 Image: Liu SusanYouTube Read More Related Articles Virtual girlfriend app points way scifi future online clubs festivals The average price doll sold company 1,800 1,361. Last month, LoveDolls revealed customers asking monster features, including tails vampire teeth. The company receiving requests twice week. Customers demanded strange eye colours, hooves, red blue skin. The average price doll sold company 1,361 Image: Liu SusanYouTube Read More Related Articles Sex robots evolving faster existential risk Adam believes uptick occurred people stuck home playing games, Covid restrictions place world. He said: I come conclusion sales, email requests. Before lockdown majority email requests asking dolls looked like specific porn stars movie stars. However, nowadays vast majority requests fantasy characters games movies. They sexy human body, pretty face alien features elf heads, colourful skin, horns, crazy eye colours vampire teeth.More OnSex Robot NewsallMost ReadMost RecentCrimeBusty cartel assassin takes pleasure tormenting victims SnapchatThe guntoting beauty, known La Cholita, believed member Jalisco New Generation Cartel, currently engaged bloody turf war drug gangs MexicoHeartbroken mum offers 15k reward ultrarare dogs worth 25,000 stolenDogsLilac Chow Chows Bonnie Clyde disappeared Essex home Friday neighbours reporting strange noises, owner Dani convinced stolen breed rare dogsGerman shepherd puppys adorable reaction seeing reflection melts heartsGerman shepherdThe heartwarming footage seen whopping 6.9 million times shared TikTok Ella Williams. 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Her puppy Chester clearly loved minute home workout Top StoriesWHY NOT? Surfer catches huge waves naked empowering film fans left challenged, lost confusedInstagramFelicity Palmateer revealed intimate project took years make. She shared trailer film Instagram, showing catching waves completely nakedPaedos henchman whispered terrifying rape threat ear jobCrimeChild protection officer Shane Dunphy 21 paedophiles henchman violently threatened rape dropped probe child sex trafficking ring IrelandWhy Liverpool boss Jurgen Klopp dropped underfire Adrian Ajax clashLiverpool FCJurgen Klopp controversial decision hand Caoimhin Kelleher debut Tuesdays win Ajax, seemingly demoting Adrian choice goalkeeperModel arrested wearing inappropriate outfit Egyptian pyramidsAncient EgyptSalma alShimi dressed revealing Pharaonicstyle costume took pictures archaeological site Saqqara. The model photographer arrestedWoman guilty murdering girl, 7, throat slit Bolton parkCourtsEltiona Skana admitted manslaughter grounds diminished responsibility Emily Jones, 7, killed park Bolton Mothers Day March yearGogglebox ban Malone family TikToks bid stop celebsGoggleboxEXCLUSIVE: Gogglebox bosses banned Tom Malone filming TikToks dad family apparent bid stop family famous ruin normality showMissing monolith spotted hovering sky plumber passing byIn NewsJeff Jacobs says mysterious black rectangle middle photos Idaho sunset elusive monolith keeps popping locations worldCat discovers neighbours doorbell camera night comes helloCatsThe black feline jumped chair neighbours door peeked window spotted motiondetecting security camera stared itWoman bought bargain fiveseater sofa online hysterics arrivesViralA Wayfair shopper gobsmacked seater sofa delivered. She expected bargain couch look lot differentFitness trainer says French bulldog workout helps build curvy bum homeDogsHeidy Espaillat shared workout ideas inspire dog lovers stay active help pets. Her puppy Chester clearly loved minute home workoutMcDonalds thug beat manager nuggets werent cooked properlyCourtsBully boy Karl Hughes bail brutally beat McDonalds manager Atherton, Manchester, believing chicken nuggets cookedHeartbreaking pictures beautiful angel dead arrestedPoliceFriends paid tribute Morgan Green, 29, dead property Cambridgeshire. Police launched murder investigation arrests NewsSportShowbizTVTechLife StyleTravelPicsFollow usFollow UsWork usDiscount Codesfootie5Sports Betting CasinoPlay Star WinsMemoryLaneCommunity StandardsCompetition Rules NoticeCorrections ClarificationsHow ComplainOur BrandsPrivacy NoticeRSS feedsNewsletter Signup Daily Star Daily Star On Sunday newspapers tablet edition 2020 Reach plc subsidiary | 2,020 | [
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https://vakanser.se/jobb/senior+data+scientist+ai+ml/ | 2020-08-23T00:00:00 | en | Senior Data Scientist AI/ML - Incluso AB - Elkraftsjobb i Stockholm | Senior Data Scientist AI/ML - Incluso AB - Elkraftsjobb i Stockholm Vakanser.se Senior Data Scientist AI/ML - Incluso AB - Elkraftsjobb i Stockholm Prenumerera pĺ nya jobb hos Incluso AB Senior Data Scientist AI/ML Incluso AB / Elkraftsjobb / Stockholm 2020-08-22 Visa alla elkraftsjobb i Stockholm, Solna, Sundbyberg, Lidingö Visa alla jobb hos Incluso AB i Stockholm We are now looking for a Senior Data Scientist.The client is on an exciting journey to meet and exceed our customers' expectations today, tomorrow and in the future. Rapid technological development and new customer behaviors are transforming the fashion retail industry. To cater the individual needs and desires of our millions of customers, Business Tech will deliver technological solutions for the entire value chain for all our brands.In Business Tech, we will continuously surprise and delight our customers and accelerate our business - by releasing the power of people, data and technology. We explore new ways of working, have a customer focused mindset, embrace our strong values and release the power of our people to innovate and develop products that make a meaningful impact to customers all over the world What you will do as Senior Data ScientistWe are on a journey together to discover the future of the fashion industry. Business Tech is our vehicle, a new modern agile product organization within the client. We are a team of small teams (5-10 people) each owning a product end-to-end with a mission to meet and exceed our customer expectations.As a Senior Data Scientist you will work in collaboration with our business and engineering people both within your team and supporting teams, on creating value from data. Often the work requires solving complex problems by turning vast amounts of data into business insights through advanced analytics, modeling and machine learning. You have a strong foundation in analytics, mathematical modeling, computer science, and math - coupled with a strong business sense. You proactively fetch information from various sources and analyze it for better understanding about how the business performs. Furthermore, you model and build AI tools that automate certain processes within the company. The solutions produced will be implemented to impact business results. Furthermore, you will:Pair with Machine Learning Engineers and Software developers, develop machine learning software product including but not limited to exploring large data sets, trying out new algorithms, feature engineering, testing and evaluating model outputs, deploying the solutions for production usage and scale out to the comprehensive fashion network of our client organization.Develop an understanding of business obstacles, create solutions based on advanced analytics and draw implications for model development.Combine, explore and draw insights from data. Often large and complex data assets from different parts of the businessDevelop tools and framework to address common needs in machine learning project like model traceability, feature reuse, A/B testing, etc.Work in cross-functional agile team of highly skilled engineers, data scientists, business stakeholders to build the AI ecosystem within our client organization. Your mindset & skillsOur journey will lead to something new and exciting - we will test, fail and learn. You are an important player in this transformation; therefore, we believe you are flexible, stress-resistant and able to work in an environment that is not yet formalized. Who you are:Have 5+ years working experience in data scienceHave a degree within applied mathematics, statistics, physics or engineering or similar field (e.g. machine learning) and a strong will to continuously develop your skill set.Are a hands-on person and a problem solver, you thrive in solving practical business problems with data and machine learning modelsYou have the ability to understand business requirements and generate insights and you have strong communication skills, orally and in writing.Are able to independently implement algorithms and models to production with at least one programming language with support from our machine learning engineers.Have experience in agile environment, team collaboration, data-driven development, reliable and responsible experimentationFluent in English, both spoken and written In addition we appreciate:Experience in working with production level machine learning systemsExperience in working optimization problems and knowledge of optimization libraries and solversExperience in Spark and distributed computing This is a full-time consultancy position in Stockholm.Starting date ASAP. Publiceringsdatum2020-08-22 Sĺ ansöker duSista dag att ansöka är 2020-09-21Klicka pĺ denna länk för att göra din ansökan FöretagIncluso AB Jobbnummer 5329744 SökordStockholmFashionMachineRequirementsJourney Prenumerera Fyll i din e-postadress för att fĺ e-postnotifiering när det dyker upp fler lediga jobb hos Incluso AB: Populära jobb Sjuksköterska sökes till höstuppdra ... Bartender Sjuksköterska sökes till höstuppdra ... Serveringspersonal Restaurangbiträden Nanny till Malmö (Rönneholm) krav: ... Kassabiträde I Märsta Sjuksköterska sökes till höstuppdra ... Servitör sökes Populära nyckelord Linux Sommar Feriepraktik Bygg Västerĺs Nytillkomna arbetsgivare Mälarstrands Havs-Klippa AB Tingvalla Pizzeria i Märsta AB Viva Bemanning AB Give me a hand AB NXT Interim AB Winn Hotel Group AB RecNet AB Hiva Relations Key Solutions AB Hm Mat & Dryck I Sälen AB Kontakta Vakanser.se
| Senior Data Scientist AI/ML | Senior Data Scientist AIML luso AB Elkraftsjobb Stockholm Vakanser.se Senior Data Scientist AIML luso AB Elkraftsjobb Stockholm Prenumerera p nya jobb hos luso AB Senior Data Scientist AIML luso AB Elkraftsjobb Stockholm 20200822 Visa alla elkraftsjobb Stockholm, Solna, Sundbyberg, Liding Visa alla jobb hos luso AB Stockholm We looking Senior Data Scientist.The client exciting journey meet exceed customers expectations today, tomorrow future. Rapid technological development new customer behaviors transforming fashion retail industry. To cater individual needs desires millions customers, Business Tech deliver technological solutions entire value chain brands.In Business Tech, continuously surprise delight customers accelerate business releasing power people, data technology. We explore new ways working, customer focused mindset, embrace strong values release power people innovate develop products meaningful impact customers world What Senior Data ScientistWe journey discover future fashion industry. Business Tech vehicle, new modern agile product organization client. We team small teams 510 people owning product endtoend mission meet exceed customer expectations.As Senior Data Scientist work collaboration business engineering people team supporting teams, creating value data. Often work requires solving complex problems turning vast amounts data business insights advanced analytics, modeling machine learning. You strong foundation analytics, mathematical modeling, science, math coupled strong business sense. You proactively fetch information sources analyze better understanding business performs. Furthermore, model build AI tools automate certain processes company. The solutions produced implemented impact business results. Furthermore, will:Pair Machine Learning Engineers Software developers, develop machine learning software product including limited exploring large data sets, trying new algorithms, feature engineering, testing evaluating model outputs, deploying solutions production usage scale comprehensive fashion network client organization.Develop understanding business obstacles, create solutions based advanced analytics draw implications model development.Combine, explore draw insights data. Often large complex data assets different parts businessDevelop tools framework address common needs machine learning project like model traceability, feature reuse, AB testing, etc.Work crossfunctional agile team highly skilled engineers, data scientists, business stakeholders build AI ecosystem client organization. Your mindset skillsOur journey lead new exciting test, fail learn. You important player transformation; therefore, believe flexible, stressresistant able work environment formalized. Who are:Have 5 years working experience data scienceHave degree applied mathematics, statistics, physics engineering similar field e.g. machine learning strong continuously develop skill set.Are handson person problem solver, thrive solving practical business problems data machine learning modelsYou ability understand business requirements generate insights strong communication skills, orally writing.Are able independently implement algorithms models production programming language support machine learning engineers.Have experience agile environment, team collaboration, datadriven development, reliable responsible experimentationFluent English, spoken written In addition appreciate:Experience working production level machine learning systemsExperience working optimization problems knowledge optimization libraries solversExperience Spark distributed computing This fulltime consultancy position Stockholm.Starting date ASAP. Publiceringsdatum20200822 S ansker duSista dag att anska r 20200921Klicka p denna lnk fr att gra din anskan Fretagluso AB Jobbnummer 5329744 SkordStockholmFashionMachineRequirementsJourney Prenumerera Fyll din epostadress fr att f epostnotifiering nr det dyker upp fler lediga jobb hos luso AB: Populra jobb Sjukskterska skes till hstuppdra ... Bartender Sjukskterska skes till hstuppdra ... Serveringspersonal Restaurangbitrden Nanny till Malm Rnneholm krav: ... Kassabitrde I Mrsta Sjukskterska skes till hstuppdra ... Servitr skes Populra nyckelord Linux Sommar Feriepraktik Bygg Vsters Nytillkomna arbetsgivare Mlarstrands HavsKlippa AB Tingvalla Pizzeria Mrsta AB Viva Bemanning AB Give hand AB NXT Interim AB Winn Hotel Group AB RecNet AB Hiva Relations Key Solutions AB Hm Mat Dryck I Slen AB Kontakta Vakanser.se | 2,020 | [
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] | 1 | POSITIVE | 57 |
https://rejerusalem.com/20628/global-legaltech-artificial-intelligence-market-size-share-demand-and-remarkable-growth-rate-till-2026-zion-market-research/ | 2020-10-08T00:00:00 | en | Global LegalTech Artificial Intelligence Market Size, Share, Demand And Remarkable Growth Rate Till 2026 | Zion Market Research – re:Jerusalem |
Global LegalTech Artificial Intelligence Market Size, Share, Demand And Remarkable Growth Rate Till 2026 | Zion Market Research – re:Jerusalem
Thursday, October 8 2020
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Global LegalTech Artificial Intelligence Market Size, Share, Demand And Remarkable Growth Rate Till 2026 | Zion Market Research
hiren
October 8, 2020
The global LegalTech Artificial Intelligence market is expected to rise with an impressive CAGR and generate the highest revenue by 2026. Zion Market Research in its latest report published this information. The report is titled “Global LegalTech Artificial Intelligence Market Industry Size, Share, Forecasts Analysis, Company Profiles, Competitive Landscape and Key Regions 2026″. The report discusses research objectives, research scope, methodology, timeline and challenges during the entire forecast period. It also offers an exclusive insight into various details such as revenues, market share, strategies, growth rate, product & their pricing by region/country for all major companies.
For More Information Get Free Sample PDF : https://www.zionmarketresearch.com/sample/legaltech-artificial-intelligence-market
The report provides a 360-degree overview of the market, listing various factors restricting, propelling, and obstructing the market in the forecast duration. The report also provides additional information such as interesting insights, key industry developments, detailed segmentation of the market, list of prominent players operating in the market, and other LegalTech Artificial Intelligence market trends. The report is available for sale on the company website.
The Report Lists the Key Companies in the LegalTech Artificial Intelligence Market:
Blue J Legal, Casetext Inc., Catalyst Repository Systems, eBREVIA, Everlaw, FiscalNote, Judicata, Justia, Knomos Knowledge Management Inc
Further, the report acknowledges that in these growing and promptly enhancing market circumstances, the most recent advertising and marketing details are very important to determine the performance in the forecast period and make essential choices for profitability and growth of the LegalTech Artificial Intelligence. In addition, the report encompasses an array of factors that impact the growth of the LegalTech Artificial Intelligence in the forecast period. Further, this specific analysis also determines the impact on the individual segments of the market.
Note – In order to provide more accurate market forecast, all our reports will be updated before delivery by considering the impact of COVID-19.
(*If you have any special requirements, please let us know and we will offer you the report as you want.)
Download Free PDF Report Brochure : https://www.zionmarketresearch.com/requestbrochure/legaltech-artificial-intelligence-market
Regional Analysis for LegalTech Artificial Intelligence Market :
North America (the USA and Canada)
Europe (UK, Germany, France, Italy, Spain, Scandinavia and Rest of Europe)
Asia Pacific (Japan, China, India, Australia, Southeast Asia and Rest of Asia Pacific)
Latin America (Brazil, Mexico and Rest of Latin America)
Middle East & Africa (South Africa, GCC and Rest of the Middle East & Africa)
Inquire more about this report : https://www.zionmarketresearch.com/inquiry/legaltech-artificial-intelligence-market
Major Table of Contents for LegalTech Artificial Intelligence Market :
1.Introduction
2.Executive Summary
3.Market Dynamics
4.Key LegalTech Artificial Intelligence Market Insights
5.Global Market Analysis, Insights and Forecast, 2015-2026
6.North America Market Analysis, Insights and Forecast, 2015-2026
7.Europe Market Analysis, Insights and Forecast, 2015-2026
8.Asia Pacific Market Analysis, Insights and Forecast, 2015-2026
9.The Middle East and Africa Market Analysis, Insights and Forecast, 2015-2026
10.Latin America Market Analysis, Insights and Forecast, 2015-2026
11.Competitive Landscape
12.Global LegalTech Artificial Intelligence Market Revenue Share Analysis, By Key Players, 2020
13.Company Profiles
14.Conclusion
Thanks for reading this article; you can also get individual chapter wise section or region wise report version like North America, Europe or Asia.
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| Global LegalTech Artificial Intelligence Market Size, Share, Demand And Remarkable Growth Rate Till 2026 | Global LegalTech Artificial Intelligence Market Size, Share, Demand And Remarkable Growth Rate Till 2026 Zion Market Research re:Jerusalem Thursday, October 8 2020 Trending Fry Dump Stations Market Expected Grow active CAGR Forecast 2025 Top Players AltoShaam, APW Wyott, Garland Group, Hatco Global Gas Turbine Flow Meters Market Strategic Analysis Current Industry Figures With Forecasts Growth 2026 GE, Siemens, Toshiba, Emerson CoronavirusCOVID19 Impact On Forged Steel Grinding Balls Market 2020 Industry Demand Trends Forecast 2026 CoronavirusCOVID19 Impact On Soldier System Market 2020 Industry Demand Trends Forecast 2026 CoronavirusCOVID19 Impact On Nuclear Powered Naval Vessels Market 2020 Industry Demand Trends Forecast 2026 Global Harvester Combine V Belts Market Size, Analytical Growth Factors, Trends Forecast 2026 OMFA Rubbers P Ltd., N.K. Enterprises CoronavirusCOVID19 Impact On Commercial Aviation Crew Management System Market 2020 Industry Demand Trends Forecast 2026 CoronavirusCOVID19 Impact On Emergency Beacon Transmitters Market 2020 Industry Demand Trends Forecast 2026 CoronavirusCOVID19 Impact On Run Flat Tire Inserts Market 2020 Industry Demand Trends Forecast 2026 CoronavirusCOVID19 Impact On Air Separation Plant Market 2020 Industry Demand Trends Forecast 2026 Sidebar Log In Random Article re:Jerusalem Business Health Industries International SciTech Publish PRs HomeBusinessGlobal LegalTech Artificial Intelligence Market Size, Share, Demand And Remarkable Growth Rate Till 2026 Zion Market Research Business Global LegalTech Artificial Intelligence Market Size, Share, Demand And Remarkable Growth Rate Till 2026 Zion Market Research hiren October 8, 2020 The globalLegalTech Artificial Intelligencemarket expected rise impressive CAGR generate highest revenue 2026. Zion Market Research latest report published information. The report titled Global LegalTech Artificial Intelligence Market Industry Size, Share, Forecasts Analysis, Company Profiles, Competitive Landscape Key Regions 2026. The report discusses research objectives, research scope, methodology, timeline challenges entire forecast period. It offers exclusive insight details revenues, market share, strategies, growth rate, product pricing regioncountry major companies. For More Information Get Free Sample PDF : The report provides 360degree overview market, listing factors restricting, propelling, obstructing market forecast duration. The report provides additional information interesting insights, key industry developments, detailed segmentation market, list prominent players operating market, LegalTech Artificial Intelligence market trends. The report available sale company website. The Report Lists Key Companies LegalTech Artificial Intelligence Market: Blue J Legal, Casetext ., Catalyst Repository Systems, eBREVIA, Everlaw, FiscalNote, Judicata, Justia, Knomos Knowledge Management Further, report acknowledges growing promptly enhancing market circumstances, recent advertising marketing details important determine performance forecast period essential choices profitability growth LegalTech Artificial Intelligence. In addition, report encompasses array factors impact growth LegalTech Artificial Intelligence forecast period. Further, specific analysis determines impact individual segments market. Note In order provide accurate market forecast, reports updated delivery considering impact COVID19. If special requirements, let know offer report want. Download Free PDF Report Brochure : Regional Analysis LegalTech Artificial Intelligence Market : North Americathe USA Canada EuropeUK, Germany, France, Italy, Spain, Scandinavia Rest Europe Asia PacificJapan, China, India, Australia, Southeast Asia Rest Asia Pacific Latin AmericaBrazil, Mexico Rest Latin America Middle East AfricaSouth Africa, GCC Rest Middle East Africa Inquire report : Major Table Contents LegalTech Artificial Intelligence Market : 1.Introduction 2.Executive Summary 3.Market Dynamics 4.Key LegalTech Artificial Intelligence Market Insights 5.Global Market Analysis, Insights Forecast, 20152026 6.North America Market Analysis, Insights Forecast, 20152026 7.Europe Market Analysis, Insights Forecast, 20152026 8.Asia Pacific Market Analysis, Insights Forecast, 20152026 9.The Middle East Africa Market Analysis, Insights Forecast, 20152026 10.Latin America Market Analysis, Insights Forecast, 20152026 11.Competitive Landscape 12.Global LegalTech Artificial Intelligence Market Revenue Share Analysis, By Key Players, 2020 13.Company Profiles 14.Conclusion Thanks reading article; individual chapter wise section region wise report version like North America, Europe Asia. Facebook Twitter Google LinkedIn StumbleUpon Tumblr Pinterest Reddit VKontakte Share Email Print hiren Related Articles October 6, 2020 2 Global Ev Charging Port Equipment Market 2020 Coronavirus COVID19 Updated Analysis By Product AC Charging Port, DC Charging Port, Combined Charging Port; By Application Electric Vehicle, Hybrid Electric Vehicle October 7, 2020 1 Global Nonsterile Gloves Market 2020 Industry Emerging Trend, Market Players, Revenue Insights 2025 October 5, 2020 2 Trending News: Analytical Standards Market Analysis, Growth, Trends Forecast 2026 Merck, Perkinelmer, Restek October 6, 2020 11 Global HVAC Thermostat Market Analysis 20202026 : Schneider, Danfoss, Computime, Carrier, Energate, , RTCA, Venstar Check Also Close Cervical Cancer Test Market Overview Forecast Report 20202026 Hologic, Qiagen N.V., Becton October 6, 2020 By hiren Global Protective Cultures Market Growth, Current Scenario Future Aspect Analysis 2026 October 8, 2020 Global Tissue Engineering Market Witness Impressive Growth Forecast Period 2020 2026 October 8, 2020 Global Robotic Prosthetic Market Revenue To Witness Humongous Elevation By 2026 October 8, 2020 Global LongTerm Care Market To Garner Immense Returns Over 20202026 October 8, 2020 Global Leprosy Treatment Market Size To Witness A Lucrative Growth Over 20202026 October 8, 2020 Global Hunter Syndrome Treatment Market To Remarkable Growth By 2026 October 8, 2020 Global Gallbladder Treatment Market To Record Exponential Growth During Projected Timeframe October 8, 2020 Global Dental Fluoride Treatment Market To Amass Huge Proceeds During Estimated Timeline October 8, 2020 Facebook Twitter WhatsApp Telegram Close for: Close Log In Forget? 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https://clarkscarlet.com/news/277734/artificial-intelligence-based-security-market-share-growth-statistics-by-application-production-revenue-forecast-to-2025/ | 2020-09-05T00:00:00 | en | Artificial Intelligence-based Security Market Share, Growth, Statistics, by Application, Production, Revenue & Forecast to 2025 – The Scarlet |
Artificial Intelligence-based Security Market Share, Growth, Statistics, by Application, Production, Revenue & Forecast to 2025 – The Scarlet
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HomeNewsArtificial Intelligence-based Security Market Share, Growth, Statistics, by Application, Production, Revenue & Forecast to 2025
Artificial Intelligence-based Security Market Share, Growth, Statistics, by Application, Production, Revenue & Forecast to 2025
Posted On: September 4, 2020
Posted By: sagar.g
Comments: 0
Market Study Report Adds New, 2020-2025 Global Artificial Intelligence-based Security Market Report to its research database presenting an informative study covering the market with detailed analysis. The Global Artificial Intelligence-based Security market research report is a professional and in-depth study on the current state of global Industry.
Request a sample Report of Artificial Intelligence-based Security Market at: https://www.marketstudyreport.com/request-a-sample/2496133?utm_source=clarkscarlet.com&utm_medium=Ram
The Artificial Intelligence-based Security market is reportedly forecast to accumulate quite an appreciable remuneration portfolio by the end of the projected timeline, as claimed by this research study. Including important parameters with regards to the market dynamics – encompassing the diverse driving forces impacting the commercialization graph of this business vertical and the risks prevalent in this sphere, the Artificial Intelligence-based Security market report also mentioned the various growth opportunities in this industry.
Enumerating some of the most important pointers addressed in the report:
The product terrain of the Artificial Intelligence-based Security market, comprising Network Security, Endpoint Security, Application Security and Cloud Security, has been elucidated in the report, in appreciable detail.
The study discusses the market share held by the product, remuneration accumulated by the product over the forecast timeline, and the product sales.
The report speaks about the application spectrum of the Artificial Intelligence-based Security market, inclusive of Government, Defense, BFSI, Enterprise and Others, in conjunction the market share accounted for, by every application.
The valuation that these applications will procure over the estimated timeline as well as the sales projection have been enumerated in the study.
A subtle peek into the market competition trends as well as the market concentration rate has been provided.
Further details pertaining to the sales channels which most vendors opt for, such as indirect, direct marketing channels, as well as information regarding the traders, distributors, and dealers in the Artificial Intelligence-based Security market have been enumerated in the study.
Unveiling the competitive terrain of the Artificial Intelligence-based Security market:
The report provides a glance into the competitive landscape of Artificial Intelligence-based Security market, that constitutes firms such as The major players covered in Artificial Intelligence-based Security are:,Nvidia Corporation,Threatmetrix,Samsung Electronics Co., Ltd,Intel Corporation,Cylance Inc,Xilinx Inc,Amazon,IBM Corporation,Micron Technology,Securonix, Inc,Sift Science,Acalvio Technologies andSkycure Inc.
The study elucidates a generic overview of every manufacturer and the products developed by each vendor, in conjunction with the application scope of every product.
Inclusive of details regarding the market share of every company, the report also mentions the sales figures respective to each of the firms in question.
Information with respect to the profit margins and price patterns have been enumerated in the study.
Enumerating the geographical penetration of the Artificial Intelligence-based Security market:
The Artificial Intelligence-based Security market report, with regards to the geographical landscape, evaluates the industry into regions such as North America, Europe, Asia-Pacific, South America & Middle East and Africa, all of which are proactive stakeholders in the Artificial Intelligence-based Security market share.
Pivotal information related to the market share amassed by every region, in alignment with the sales that each geography accounts for have been provided in the study.
The valuation held by each zone in the base year and the estimated growth rate of every topography over the forecast duration have also been mentioned.
Ask for Discount on Artificial Intelligence-based Security Market Report at: https://www.marketstudyreport.com/check-for-discount/2496133?utm_source=clarkscarlet.com&utm_medium=Ram
The Artificial Intelligence-based Security market research study, in its entirety, is an in-depth analysis of the business vertical in question, that has been projected to record a laudable annual growth rate over the projected timeline. Constituting a precise evaluation of the dynamics pertaining to this marketplace, the Artificial Intelligence-based Security market report aims to provide valuable insights concerned with industry deliverables like valuation forecast, market size, sales volume, and the like.
For More Details On this Report: https://www.marketstudyreport.com/reports/global-artificial-intelligence-based-security-market-2020-by-company-regions-type-and-application-forecast-to-2025
Some of the Major Highlights of TOC covers:
The major players covered in Artificial Intelligence-based Security are:,Nvidia Corporation,Threatmetrix,Samsung Electronics Co., Ltd,Intel Corporation,Cylance Inc,Xilinx Inc,Amazon,IBM Corporation,Micron Technology,Securonix, Inc,Sift Science,Acalvio Technologies andSkycure Inc Regional Market Analysis
The major players covered in Artificial Intelligence-based Security are:,Nvidia Corporation,Threatmetrix,Samsung Electronics Co., Ltd,Intel Corporation,Cylance Inc,Xilinx Inc,Amazon,IBM Corporation,Micron Technology,Securonix, Inc,Sift Science,Acalvio Technologies andSkycure Inc Production by Regions
Global The major players covered in Artificial Intelligence-based Security are:,Nvidia Corporation,Threatmetrix,Samsung Electronics Co., Ltd,Intel Corporation,Cylance Inc,Xilinx Inc,Amazon,IBM Corporation,Micron Technology,Securonix, Inc,Sift Science,Acalvio Technologies andSkycure Inc Production by Regions
Global The major players covered in Artificial Intelligence-based Security are:,Nvidia Corporation,Threatmetrix,Samsung Electronics Co., Ltd,Intel Corporation,Cylance Inc,Xilinx Inc,Amazon,IBM Corporation,Micron Technology,Securonix, Inc,Sift Science,Acalvio Technologies andSkycure Inc Revenue by Regions
The major players covered in Artificial Intelligence-based Security are:,Nvidia Corporation,Threatmetrix,Samsung Electronics Co., Ltd,Intel Corporation,Cylance Inc,Xilinx Inc,Amazon,IBM Corporation,Micron Technology,Securonix, Inc,Sift Science,Acalvio Technologies andSkycure Inc Consumption by Regions
The major players covered in Artificial Intelligence-based Security are:,Nvidia Corporation,Threatmetrix,Samsung Electronics Co., Ltd,Intel Corporation,Cylance Inc,Xilinx Inc,Amazon,IBM Corporation,Micron Technology,Securonix, Inc,Sift Science,Acalvio Technologies andSkycure Inc Segment Market Analysis (by Type)
Global The major players covered in Artificial Intelligence-based Security are:,Nvidia Corporation,Threatmetrix,Samsung Electronics Co., Ltd,Intel Corporation,Cylance Inc,Xilinx Inc,Amazon,IBM Corporation,Micron Technology,Securonix, Inc,Sift Science,Acalvio Technologies andSkycure Inc Production by Type
Global The major players covered in Artificial Intelligence-based Security are:,Nvidia Corporation,Threatmetrix,Samsung Electronics Co., Ltd,Intel Corporation,Cylance Inc,Xilinx Inc,Amazon,IBM Corporation,Micron Technology,Securonix, Inc,Sift Science,Acalvio Technologies andSkycure Inc Revenue by Type
The major players covered in Artificial Intelligence-based Security are:,Nvidia Corporation,Threatmetrix,Samsung Electronics Co., Ltd,Intel Corporation,Cylance Inc,Xilinx Inc,Amazon,IBM Corporation,Micron Technology,Securonix, Inc,Sift Science,Acalvio Technologies andSkycure Inc Price by Type
The major players covered in Artificial Intelligence-based Security are:,Nvidia Corporation,Threatmetrix,Samsung Electronics Co., Ltd,Intel Corporation,Cylance Inc,Xilinx Inc,Amazon,IBM Corporation,Micron Technology,Securonix, Inc,Sift Science,Acalvio Technologies andSkycure Inc Segment Market Analysis (by Application)
Global The major players covered in Artificial Intelligence-based Security are:,Nvidia Corporation,Threatmetrix,Samsung Electronics Co., Ltd,Intel Corporation,Cylance Inc,Xilinx Inc,Amazon,IBM Corporation,Micron Technology,Securonix, Inc,Sift Science,Acalvio Technologies andSkycure Inc Consumption by Application
Global The major players covered in Artificial Intelligence-based Security are:,Nvidia Corporation,Threatmetrix,Samsung Electronics Co., Ltd,Intel Corporation,Cylance Inc,Xilinx Inc,Amazon,IBM Corporation,Micron Technology,Securonix, Inc,Sift Science,Acalvio Technologies andSkycure Inc Consumption Market Share by Application (2014-2020)
The major players covered in Artificial Intelligence-based Security are:,Nvidia Corporation,Threatmetrix,Samsung Electronics Co., Ltd,Intel Corporation,Cylance Inc,Xilinx Inc,Amazon,IBM Corporation,Micron Technology,Securonix, Inc,Sift Science,Acalvio Technologies andSkycure Inc Major Manufacturers Analysis
The major players covered in Artificial Intelligence-based Security are:,Nvidia Corporation,Threatmetrix,Samsung Electronics Co., Ltd,Intel Corporation,Cylance Inc,Xilinx Inc,Amazon,IBM Corporation,Micron Technology,Securonix, Inc,Sift Science,Acalvio Technologies andSkycure Inc Production Sites and Area Served
Product Introduction, Application and Specification
The major players covered in Artificial Intelligence-based Security are:,Nvidia Corporation,Threatmetrix,Samsung Electronics Co., Ltd,Intel Corporation,Cylance Inc,Xilinx Inc,Amazon,IBM Corporation,Micron Technology,Securonix, Inc,Sift Science,Acalvio Technologies andSkycure Inc Production, Revenue, Ex-factory Price and Gross Margin (2014-2020)
Main Business and Markets Served
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| Artificial Intelligence-based Security Market Share, Growth, Statistics, by Application, Production, Revenue & Forecast to 2025 | Artificial Intelligencebased Security Market Share, Growth, Statistics, Application, Production, Revenue Forecast 2025 The Scarlet The Scarlet Space, Science Energy Market Energy News Coronavirus Space HomeNewsArtificial Intelligencebased Security Market Share, Growth, Statistics, Application, Production, Revenue Forecast 2025 Artificial Intelligencebased Security Market Share, Growth, Statistics, Application, Production, Revenue Forecast 2025 Posted On: September 4, 2020 Posted By: sagar.g Comments: 0 Market Study Report Adds New, 20202025 Global Artificial Intelligencebased Security Market Report research database presenting informative study covering market detailed analysis. The Global Artificial Intelligencebased Security market research report professional indepth study current state global Industry. Request sample Report Artificial Intelligencebased Security Market at: The Artificial Intelligencebased Security market reportedly forecast accumulate appreciable remuneration portfolio end projected timeline, claimed research study. luding important parameters regards market dynamics encompassing diverse driving forces impacting commercialization graph business vertical risks prevalent sphere, Artificial Intelligencebased Security market report mentioned growth opportunities industry. Enumerating important pointers addressed report: The product terrain Artificial Intelligencebased Security market, comprising Network Security, Endpoint Security, Application Security Cloud Security, elucidated report, appreciable detail. The study discusses market share held product, remuneration accumulated product forecast timeline, product sales. The report speaks application spectrum Artificial Intelligencebased Security market, inclusive Government, Defense, BFSI, Enterprise Others, conjunction market share accounted for, application. The valuation applications procure estimated timeline sales projection enumerated study. A subtle peek market competition trends market concentration rate provided. Further details pertaining sales channels vendors opt for, indirect, direct marketing channels, information traders, distributors, dealers Artificial Intelligencebased Security market enumerated study. Unveiling competitive terrain Artificial Intelligencebased Security market: The report provides glance competitive landscape Artificial Intelligencebased Security market, constitutes firms The major players covered Artificial Intelligencebased Security are:,Nvidia Corporation,Threatmetrix,Samsung Electronics Co., Ltd,Intel Corporation,Cylance ,Xilinx ,Amazon,IBM Corporation,Micron Technology,Securonix, ,Sift Science,Acalvio Technologies andSkycure . The study elucidates generic overview manufacturer products developed vendor, conjunction application scope product. lusive details market share company, report mentions sales figures respective firms question. Information respect profit margins price patterns enumerated study. Enumerating geographical penetration Artificial Intelligencebased Security market: The Artificial Intelligencebased Security market report, regards geographical landscape, evaluates industry regions North America, Europe, AsiaPacific, South America Middle East Africa, proactive stakeholders Artificial Intelligencebased Security market share. Pivotal information related market share amassed region, alignment sales geography accounts provided study. The valuation held zone base year estimated growth rate topography forecast duration mentioned. Ask Discount Artificial Intelligencebased Security Market Report at: The Artificial Intelligencebased Security market research study, entirety, indepth analysis business vertical question, projected record laudable annual growth rate projected timeline. Constituting precise evaluation dynamics pertaining marketplace, Artificial Intelligencebased Security market report aims provide valuable insights concerned industry deliverables like valuation forecast, market size, sales volume, like. For More Details On Report: Some Major Highlights TOC covers: The major players covered Artificial Intelligencebased Security are:,Nvidia Corporation,Threatmetrix,Samsung Electronics Co., Ltd,Intel Corporation,Cylance ,Xilinx ,Amazon,IBM Corporation,Micron Technology,Securonix, ,Sift Science,Acalvio Technologies andSkycure Regional Market Analysis The major players covered Artificial Intelligencebased Security are:,Nvidia Corporation,Threatmetrix,Samsung Electronics Co., Ltd,Intel Corporation,Cylance ,Xilinx ,Amazon,IBM Corporation,Micron Technology,Securonix, ,Sift Science,Acalvio Technologies andSkycure Production Regions Global The major players covered Artificial Intelligencebased Security are:,Nvidia Corporation,Threatmetrix,Samsung Electronics Co., Ltd,Intel Corporation,Cylance ,Xilinx ,Amazon,IBM Corporation,Micron Technology,Securonix, ,Sift Science,Acalvio Technologies andSkycure Production Regions Global The major players covered Artificial Intelligencebased Security are:,Nvidia Corporation,Threatmetrix,Samsung Electronics Co., Ltd,Intel Corporation,Cylance ,Xilinx ,Amazon,IBM Corporation,Micron Technology,Securonix, ,Sift Science,Acalvio Technologies andSkycure Revenue Regions The major players covered Artificial Intelligencebased Security are:,Nvidia Corporation,Threatmetrix,Samsung Electronics Co., Ltd,Intel Corporation,Cylance ,Xilinx ,Amazon,IBM Corporation,Micron Technology,Securonix, ,Sift Science,Acalvio Technologies andSkycure Consumption Regions The major players covered Artificial Intelligencebased Security are:,Nvidia Corporation,Threatmetrix,Samsung Electronics Co., Ltd,Intel Corporation,Cylance ,Xilinx ,Amazon,IBM Corporation,Micron Technology,Securonix, ,Sift Science,Acalvio Technologies andSkycure Segment Market Analysis Type Global The major players covered Artificial Intelligencebased Security are:,Nvidia Corporation,Threatmetrix,Samsung Electronics Co., Ltd,Intel Corporation,Cylance ,Xilinx ,Amazon,IBM Corporation,Micron Technology,Securonix, ,Sift Science,Acalvio Technologies andSkycure Production Type Global The major players covered Artificial Intelligencebased Security are:,Nvidia Corporation,Threatmetrix,Samsung Electronics Co., Ltd,Intel Corporation,Cylance ,Xilinx ,Amazon,IBM Corporation,Micron Technology,Securonix, ,Sift Science,Acalvio Technologies andSkycure Revenue Type The major players covered Artificial Intelligencebased Security are:,Nvidia Corporation,Threatmetrix,Samsung Electronics Co., Ltd,Intel Corporation,Cylance ,Xilinx ,Amazon,IBM Corporation,Micron Technology,Securonix, ,Sift Science,Acalvio Technologies andSkycure Price Type The major players covered Artificial Intelligencebased Security are:,Nvidia Corporation,Threatmetrix,Samsung Electronics Co., Ltd,Intel Corporation,Cylance ,Xilinx ,Amazon,IBM Corporation,Micron Technology,Securonix, ,Sift Science,Acalvio Technologies andSkycure Segment Market Analysis Application Global The major players covered Artificial Intelligencebased Security are:,Nvidia Corporation,Threatmetrix,Samsung Electronics Co., Ltd,Intel Corporation,Cylance ,Xilinx ,Amazon,IBM Corporation,Micron Technology,Securonix, ,Sift Science,Acalvio Technologies andSkycure Consumption Application Global The major players covered Artificial Intelligencebased Security are:,Nvidia Corporation,Threatmetrix,Samsung Electronics Co., Ltd,Intel Corporation,Cylance ,Xilinx ,Amazon,IBM Corporation,Micron Technology,Securonix, ,Sift Science,Acalvio Technologies andSkycure Consumption Market Share Application 20142020 The major players covered Artificial Intelligencebased Security are:,Nvidia Corporation,Threatmetrix,Samsung Electronics Co., Ltd,Intel Corporation,Cylance ,Xilinx ,Amazon,IBM Corporation,Micron Technology,Securonix, ,Sift Science,Acalvio Technologies andSkycure Major Manufacturers Analysis The major players covered Artificial Intelligencebased Security are:,Nvidia Corporation,Threatmetrix,Samsung Electronics Co., Ltd,Intel Corporation,Cylance ,Xilinx ,Amazon,IBM Corporation,Micron Technology,Securonix, ,Sift Science,Acalvio Technologies andSkycure Production Sites Area Served Product Introduction, Application Specification The major players covered Artificial Intelligencebased Security are:,Nvidia Corporation,Threatmetrix,Samsung Electronics Co., Ltd,Intel Corporation,Cylance ,Xilinx ,Amazon,IBM Corporation,Micron Technology,Securonix, ,Sift Science,Acalvio Technologies andSkycure Production, Revenue, Exfactory Price Gross Margin 20142020 Main Business Markets Served Related Reports: 1. 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] | 1 | POSITIVE | 59 |
https://www.finanznachrichten.de/nachrichten-2020-01/48582353-ces-2020-wraps-ai-and-5g-define-the-future-of-innovation-004.htm | 2020-01-11T00:00:00 | en | CES 2020 Wraps: AI and 5G Define the Future of Innovation |
CES 2020 Wraps: AI and 5G Define the Future of InnovationAnzeige❌Mehr »LoginStartseiteNachrichtenNachrichtenNachrichten auf FNAlle NewsRubrikenAktien im BlickpunktAd hoc-MitteilungenBestbewertete NewsMeistgelesene NewsKonjunktur- und WirtschaftsnewsMarktberichteEmpfehlungsübersichtAlle AktienempfehlungenChartanalysenIPO-NewsTermineThemen-DossiersIndizesÜbersicht nach Indizes/MärktenDAXSDAXMDAXTecDAXDJIAS&P 500NASDAQ 100EURO STOXX 50FTSE-100SMIATXNIKKEIHANG SENGBranchenBranchenübersichtMedienMedienübersichtArchivErweiterte SucheAktienkurseAktienkurseRealtime-Aktienkursliste (L&S)Online-Broker-VergleichXETRA-OrderbuchÜbersichtXETRA-Orderbuch?IndizesIndexlisteDAXSDAXMDAXTecDAXDJIAS&P 500NASDAQ 100EURO STOXX 50FTSE-100SMIATXNIKKEIHANG SENGBranchenBranchenübersichtBau / InfrastrukurBekleidung / TextilBiotechnologieChemieDienstleistungenEisen / StahlElektrotechnologieErneuerbare EnergienFahrzeugeFinanzdienstleistungenFreizeitprodukteGesundheitswesenGetränke/TabakHalbleiterHandelHardwareHolz / PapierImmobilienInternetIT-DienstleistungenKonsumgüterKosmetikKunststoffeLogistik / TransportLuftfahrtMaschinenbauMedienMischkonzerneNanotechnologieNahrungsmittel / AgrarNetzwerktechnikÖl/GasPharmaRohstoffeSoftwareSonstige TechnologieTelekommunikationTourismusUnterhaltungVersorgerFondsAnleihenDerivateRohstoffeDevisenKryptowährungenWatchlistWatchlist anlegenWas bringt eine Nachrichten-Watchlist?Samstag, 11.01.2020 Börsentäglich
über 12.000 News von 621 internationalen
MedienErweiterteSucheRallye setzt sich fort: Auf dem Weg zum größten Cannabisplayer in Kalifornien!?AnzeigeIndizesKurs%News24 h / 7 TAufrufe7 TageAktienKurs%News24 h / 7 TAufrufe7 TageXetra-OrderbuchDevisenKurs%RohstoffeKurs%ThemenKurs%Erweiterte SucheAd hoc-Mitteilungen:Nachrichten»CES 2020 Wraps: AI and 5G Define the Future of InnovationFN als StartseiteBusiness Wire11.01.2020 | 01:5266 LeserArtikel bewerten:(0)CES 2020 Wraps: AI and 5G Define the Future of Innovation World's largest tech event unveils innovation that will solve global problems CES 2020 wrapped today, following a week filled with over 20,000 product debuts unveiling the future of technology. More than 4,400 exhibiting companies launched their latest tech products to some 170,000 attendees across more than 2.9 million net square feet of exhibit space. From global tech brands to pioneering startups, the innovation at CES 2020 will revolutionize markets and change our world for the better.
"CES 2020 inspired and connected every major industry across the globe," said Gary Shapiro, president and CEO of the Consumer Technology Association (CTA)TM, owner and producer of CES. "The innovation unveiled at CES 2020 will reshape industries, create jobs, fuel the global economy and improve lives around the world."
"This week at CES illustrated that every company is truly a tech company," said Karen Chupka, executive vice president, CES. "Global technology brands blended with non-traditional tech companies to showcase how innovation is furthering business across all markets setting the stage for the decade ahead."
Key Themes at CES CES 2020 featured the entire spectrum of transformative technology that will redefine markets and shift business models, including:
Artificial Intelligence AI was dominant throughout the show floor and will be a 'key ingredient technology' over the next decade. Companies debuted their latest AI solutions, including Brunswick, Doosan, John Deere and Kyocera. 5G and Mobile Connectivity CES is the only show where the entire 5G ecosystem the backbone for connectivity, transportation, augmented and virtual reality, digital health and more comes together. Carriers and mobile operators, such as Verizon, Sprint, AT&T, Nokia and Ericsson, demonstrated the latest advancements in 5G's speed, reliability and efficiency.
Non-Traditional Tech Companies at CES Non-traditional companies used CES 2020 as a platform to launch products. Impossible Foods returned to CES 2020, debuting its Impossible Pork; John Deere was featured in the AI Robotics Marketplace and other companies, such as Bell, Delta Airlines, L'Oreal, NBCUniversal and Proctor Gamble unveiled how they're transforming their businesses through technology.
Tech for Good Innovative technologies launched at CES that will change lives and improve our world. Digital health technologies were a major theme, with advancements in digital therapeutics, wearables and remote patient monitoring as digital health addresses real world issues like opioid dependence, mental illness and chronic disease. The Health Wellness category saw an increase of nearly 25% with more than 135 exhibiting companies at CES 2020, including Humetrix and InBody The Smart Cities exhibit area expanded by nearly 25% over 2019, with companies and organizations including the Department of Transportation, Hitachi and Siemens, highlighting products that will revitalize economies and help communities survive and thrive.
CTA also partnered with the World Bank Group at CES 2020 on a Global Tech Challenge, calling for companies around the world to create solutions focused on three key areas: health, gender inequality and technologies that enable communities to be resilient. The Health Tech Challenge category is accepting applications through February 25 to connect innovators with healthcare providers in East Africa.
Eureka Park CES 2020 was also the world's largest startup event, with more than 1,200 companies from 46 countries featured within Eureka Park, offering disruptive innovations, attracting investors and big-name brands. Technologies unveiled within Eureka Park include the Oval Home smart sensor that analyzes temperature, light, humidity and movement in the home; Yoganotch, which applies motion capture technology to help users improve poses; and Caregiver Smart Solutions with sensors that track movement and patterns to provide caregivers reassurance and patients with more independence at home.
"CES has the unique ability for startups and young companies to get exposure to major global brands," said Mara Lewis, Co-Founder and CEO, ID8 Innovation; member, CTA Board of Industry Leaders. "The opportunities for venture funding and growth are incredible here. And the CES 2020 Diversity and Inclusion conference track was mind blowing!"
Diversity and Inclusion CES 2020 had a large focus on Diversity and Inclusion, with new programming and partnerships. The Innovation for All conference program featured chief diversity officers and leaders from Bosch, HP and Walmart, and explored inclusive ways that D&I is contributing to the bottom line, shifting culture, hiring differently and investing in diversity.
Travel and Tourism Delta Airlines was the first airline to keynote at CES. During his address, Delta Air Lines CEO Ed Bastian described the future world of travel through tech, including AI, AR, biometric security, smart incentive programs, and a new Parallel Reality experience, as travel becomes more customized.
Transportation and Vehicle Technology CES 2020 was revved up highlighting the future of transportation. Nine of the world's leading car manufacturers, including Audi, BMW, Daimler (Mercedes),FCA,Ford, Honda, Hyundai, Nissan and Toyota,and more than 150 vehicle tech exhibitors unveiled the latest in connected cars, self-driving vehicles and concept cars. Products included the Mercedes Vision AVTR concept car, Audi's AI:ME and the Sony Vision S.
C Space CES brought together content creators, Hollywood, the advertising and music industries, media and leading CMOs to explore the future of brand marketing and entertainment, including streaming services, through the return of C Space. The 2020 program featured more than 60 exhibitors, including AT&T Services, Comcast, Google, HP, Hulu, iHeart, NBC Universal, Pandora, Reddit, Roku, SiriuXM, Snap, Twitch, Turner, Univision and WWE. Keynotes The CES stage featured more than 1,100 speakers representing major global industries, including keynotes from Samsung President and CEO of Consumer Electronics Division Mr. Hyun-Suk Kim; Daimler Chairman Ola Källenius; Delta Air Lines CEO Ed Bastian; NBCUniversal Chairman of Advertising and Partnerships Linda Yaccarino; Quibi CEO Meg Whitman and Founder Jeffrey Katzenberg; U.S. Secretary of Transportation Elaine L. Chao; Salesforce Chairman and co-CEO Marc Benioff; Unilever CEO Alan Jope; and Presidential Advisor, Ivanka Trump Visit CES.tech/Live to see the CES keynotes, SuperSessions and other conference programs.
"We hosted 40 CEOs and corporate directors here, and over half were attending CES for the very first time," said Nichole Jordan, Central Region Managing Partner, Grant Thornton; member, CTA Board of Industry Leaders. "As we debriefed, they said this show this experience helps them to reimagine their businesses and their futures."
CES, the world's largest and most influential tech event, returns to Las Vegas, January 6-9, 2021. Visit CES.tech for product announcements, keynote and session videos, b-roll footage and more.
About CES: CES is the largest, most influential tech event in the world the proving ground for breakthrough technologies and global innovators. This is where the world's biggest brands do business and meet new partners, and the sharpest innovators hit the stage. Owned and produced by the Consumer Technology Association (CTA), CES features every aspect of the tech sector. Learn more at CES.tech and follow CES on social.
About Consumer Technology Association: As North America's largest technology trade association, CTA is the tech sector. Our members are the world's leading innovators from startups to global brands helping support more than 18 million American jobs. CTA owns and produces CES the largest, most influential tech event in the world. Find us at CTA.tech. Follow us @CTAtech UPCOMING EVENTS CES 2021 January 6-9, 2021 Las Vegas, NV
View source version on businesswire.com: https://www.businesswire.com/news/home/20200110005584/en/Contacts:Caroline Finnell
[email protected] 703-907-7649
© 2020 Business WireSie erhalten auf FinanzNachrichten.de kostenlose Realtime-Aktienkurse von und FNRD-2.608.0Wie bewerten Sie die aktuell angezeigte Seite?sehr gut123456schlechtProblem meldenDAXXetra-OrderbuchAd hoc-MitteilungenNachrichten BörsenAktien-EmpfehlungenBranchenMedienNachrichten-ArchivRSS-News von FinanzNachrichten.dePresseImpressum | AGB | Disclaimer | DatenschutzMediadaten | CES 2020 Wraps: AI and 5G Define the Future of Innovation | CES 2020 Wraps: AI 5G Define Future InnovationAnzeigeMehr StartseiteNachrichtenNachrichtenNachrichten auf FNAlle NewsRubrikenAktien im BlickpunktAd hocMitteilungenBestbewertete NewsMeistgelesene NewsKonjunktur und WirtschaftsnewsMarktberichteEmpfehlungsbersichtAlle AktienempfehlungenChartanalysenIPONewsTermineThemenDossiersIndizesbersicht nach IndizesMrktenDAXSDAXMDAXTecDAXDJIASP 500NASDAQ 100EURO STOXX 50FTSE100SMIATXNIKKEIHANG SENGBranchenBranchenbersichtMedienMedienbersichtArchivErweiterte SucheAktienkurseAktienkurseRealtimeAktienkursliste LSOnlineBrokerVergleichXETRAOrderbuchbersichtXETRAOrderbuch?IndizesIndexlisteDAXSDAXMDAXTecDAXDJIASP 500NASDAQ 100EURO STOXX 50FTSE100SMIATXNIKKEIHANG SENGBranchenBranchenbersichtBau InfrastrukurBekleidung TextilBiotechnologieChemieDienstleistungenEisen StahlElektrotechnologieErneuerbare EnergienFahrzeugeFinanzdienstleistungenFreizeitprodukteGesundheitswesenGetrnkeTabakHalbleiterHandelHardwareHolz PapierImmobilienInternetITDienstleistungenKonsumgterKosmetikKunststoffeLogistik TransportLuftfahrtMaschinenbauMedienMischkonzerneNanotechnologieNahrungsmittel AgrarNetzwerktechniklGasPharmaRohstoffeSoftwareSonstige TechnologieTelekommunikationTourismusUnterhaltungVersorgerFondsAnleihenDerivateRohstoffeDevisenKryptowhrungenWatchlistWatchlist anlegenWas bringt eine NachrichtenWatchlist?Samstag, 11.01.2020 Brsentglich ber 12.000 News von 621 internationalen MedienErweiterteSucheRallye setzt sich fort: Auf dem Weg zum grten Cannabisplayer Kalifornien?AnzeigeIndizesKursNews24h7TAufrufe7 TageAktienKursNews24h7TAufrufe7 TageXetraOrderbuchDevisenKursRohstoffeKursThemenKursErweiterte SucheAd hocMitteilungen:NachrichtenCES 2020 Wraps: AI 5G Define Future InnovationFN als StartseiteBusiness Wire11.01.2020 01:5266 LeserArtikel bewerten:0CES 2020 Wraps: AI 5G Define Future Innovation Worlds largest tech event unveils innovation solve global problems CES 2020 wrapped today, following week filled 20,000 product debuts unveiling future technology. More 4,400 exhibiting companies launched latest tech products 170,000 attendees 2.9 million net square feet exhibit space. From global tech brands pioneering startups, innovation CES 2020 revolutionize markets change world better. CES 2020 inspired connected major industry globe, said Gary Shapiro, president CEO Consumer Technology Association CTATM, owner producer CES. The innovation unveiled CES 2020 reshape industries, create jobs, fuel global economy improve lives world. This week CES illustrated company truly tech company, said Karen Chupka, executive vice president, CES. Global technology brands blended nontraditional tech companies showcase innovation furthering business markets setting stage decade ahead. Key Themes CES CES 2020 featured entire spectrum transformative technology redefine markets shift business models, including: Artificial Intelligence AI dominant floor key ingredient technology decade. Companies debuted latest AI solutions, including Brunswick, Doosan, John Deere Kyocera. 5G Mobile Connectivity CES entire 5G ecosystem backbone connectivity, transportation, augmented virtual reality, digital health comes together. Carriers mobile operators, Verizon, Sprint, ATT, Nokia Ericsson, demonstrated latest advancements 5Gs speed, reliability efficiency. NonTraditional Tech Companies CES Nontraditional companies CES 2020 platform launch products. Impossible Foods returned CES 2020, debuting Impossible Pork; John Deere featured AI Robotics Marketplace companies, Bell, Delta Airlines, LOreal, NBCUniversal Proctor Gamble unveiled theyre transforming businesses technology. Tech Good Innovative technologies launched CES change lives improve world. Digital health technologies major theme, advancements digital therapeutics, wearables remote patient monitoring digital health addresses real world issues like opioid dependence, mental illness chronic disease. The Health Wellness category saw increase nearly 25 135 exhibiting companies CES 2020, including Humetrix InBody The Smart Cities exhibit area expanded nearly 25 2019, companies organizations including Department Transportation, Hitachi Siemens, highlighting products revitalize economies help communities survive thrive. CTA partnered World Bank Group CES 2020 Global Tech Challenge, calling companies world create solutions focused key areas: health, gender inequality technologies enable communities resilient. The Health Tech Challenge category accepting applications February 25 connect innovators healthcare providers East Africa. Eureka Park CES 2020 worlds largest startup event, 1,200 companies 46 countries featured Eureka Park, offering disruptive innovations, attracting investors bigname brands. Technologies unveiled Eureka Park include Oval Home smart sensor analyzes temperature, light, humidity movement home; Yoganotch, applies motion capture technology help users improve poses; Caregiver Smart Solutions sensors track movement patterns provide caregivers reassurance patients independence home. CES unique ability startups young companies exposure major global brands, said Mara Lewis, CoFounder CEO, ID8 Innovation; member, CTA Board Industry Leaders. The opportunities venture funding growth incredible here. And CES 2020 Diversity lusion conference track mind blowing Diversity lusion CES 2020 large focus Diversity lusion, new programming partnerships. The Innovation All conference program featured chief diversity officers leaders Bosch, HP Walmart, explored inclusive ways DI contributing line, shifting culture, hiring differently investing diversity. Travel Tourism Delta Airlines airline keynote CES. During address, Delta Air Lines CEO Ed Bastian described future world travel tech, including AI, AR, biometric security, smart incentive programs, new Parallel Reality experience, travel customized. Transportation Vehicle Technology CES 2020 revved highlighting future transportation. Nine worlds leading car manufacturers, including Audi, BMW, Daimler Mercedes,FCA,Ford, Honda, Hyundai, Nissan Toyota,and 150 vehicle tech exhibitors unveiled latest connected cars, selfdriving vehicles concept cars. Products included Mercedes Vision AVTR concept car, Audis AI:ME Sony Vision S. C Space CES brought content creators, Hollywood, advertising music industries, media leading CMOs explore future brand marketing entertainment, including streaming services, return C Space. The 2020 program featured 60 exhibitors, including ATT Services, Comcast, Google, HP, Hulu, iHeart, NBC Universal, Pandora, Reddit, Roku, SiriuXM, Snap, Twitch, Turner, Univision WWE. Keynotes The CES stage featured 1,100 speakers representing major global industries, including keynotes Samsung President CEO Consumer Electronics Division Mr. HyunSuk Kim; Daimler Chairman Ola Kllenius; Delta Air Lines CEO Ed Bastian; NBCUniversal Chairman Advertising Partnerships Linda Yaccarino; Quibi CEO Meg Whitman Founder Jeffrey Katzenberg; U.S. Secretary Transportation Elaine L. Chao; Salesforce Chairman coCEO Marc Benioff; Unilever CEO Alan Jope; Presidential Advisor, Ivanka Trump Visit CES.techLive CES keynotes, SuperSessions conference programs. We hosted 40 CEOs corporate directors here, half attending CES time, said Nichole Jordan, Central Region Managing Partner, Grant Thornton; member, CTA Board Industry Leaders. As debriefed, said experience helps reimagine businesses futures. CES, worlds largest influential tech event, returns Las Vegas, January 69, 2021. Visit CES.tech product announcements, keynote session videos, broll footage more. About CES: CES largest, influential tech event world proving ground breakthrough technologies global innovators. This worlds biggest brands business meet new partners, sharpest innovators hit stage. Owned produced Consumer Technology Association CTA, CES features aspect tech sector. Learn CES.tech follow CES social. About Consumer Technology Association: As North Americas largest technology trade association, CTA tech sector. Our members worlds leading innovators startups global brands helping support 18 million American jobs. CTA owns produces CES largest, influential tech event world. Find CTA.tech. Follow UPCOMING EVENTS CES 2021 January 69, 2021 Las Vegas, NV View source version : Finnell cfinnell 7039077649 2020Business WireSie erhalten auf FinanzNachrichten.de kostenlose RealtimeAktienkurse von und FNRD2.608.0Wie bewerten Sie die aktuell angezeigte Seite?sehr gut123456schlechtProblem meldenDAXXetraOrderbuchAd hocMitteilungenNachrichten BrsenAktienEmpfehlungenBranchenMedienNachrichtenArchivRSSNews von FinanzNachrichten.dePresseImpressum AGB Disclaimer DatenschutzMediadaten | 2,020 | [
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https://www.leicestermercury.co.uk/sport/football/football-news/leicester-city-claude-puel-transfers-3963483 | 2020-04-01T00:00:00 | en | 'Steal of the century' - Rating Claude Puel’s Leicester City signings - Leicestershire Live |
'Steal of the century' - Rating Claude Puel’s Leicester City signings - Leicestershire Live
leicestermercuryLoad mobile navigationNewsLatest NewsCounty NewsLeicester NewsHinckley NewsLoughborough NewsTraffic & TravelCrimeEducationHealthPoliticsBusinessJobsHistoryCelebs & TVPropertyMotoringUK & World NewsNews By AreaExpandIn Your AreaWhat's OnLatest What's OnFood & DrinkFamily & KidsMusic & NightlifeShoppingExpandLeicester City FCTigersBusinessSportFootballRugbyLeicester RidersOther SportSport OpinionExpandSpecial FeaturesMy AccountSubscriptionsSign OutFuneral NoticesJobsBook an adBuy a photoSubscribeAdvertise with usPropertyVoucher CodesMarketplaceDirectoryPublic NoticesDating#Do1ThingInYourAreaDiscount CodesBuy a photoContact UsAbout UsMarketplaceWork for usAdvertise with UsSubscriptionsCompetition RulesHow to ComplainCorrections and ClarificationsTerms and ConditionsPrivacy NoticeCookie NoticeRSS feedsNewsletters SignupNotifications and Alerts help© 2020 Local World
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Sport'Steal of the century' - Rating Claude Puel’s Leicester City signingsLeicester City transfer news | A year on from the end of the Frenchman’s exit, we assess the success of all of the deals that were completed during his spell, from Jonny Evans to Fousseni DiabateShare CommentsByJordan BlackwellMark Wakefield10:00, 1 APR 2020SportVideo LoadingVideo UnavailableClick to playTap to playThe video will start in 8CancelPlay nowSign up to FREE email alerts from LeicestershireLive - Weekday Leicester City FCSubscribeWe will use your email address to send you newsletters. Please see ourPrivacy Noticefor more information on how we use your data and your data protection rights.Thank you for subscribingWe have more newslettersShow meSee ourprivacy noticeInvalid EmailIt’s just over a year since Claude Puel’s divisive tenure at the King Power Stadium came to an end, and Leicester City, flying high in third in the Premier League, are no doubt in a better place. The Frenchman left the King Power and was soon replaced by Brendan Rodgers in the dugout, who left Celtic to take over the Foxes. City are now challenging for a place in next season's Champions League, while earlier in the season there was talk of a Premier League title challenge.
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However, many of the players helping Rodgers achieve success were signed under Puel and then head of recruitment Eduardo Macia, who left for Bordeaux shortly after Rodgers arrived. Here, we take a look at the signings under Puel and give them a score out of 10.
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This is your round up of all things Leicester; the one-stop shop that will keep you updated on the latest goings on at the King Power Stadium and beyond. Transfers, injuries, match-days and managers, we’ve got you covered. We’ll be bringing the very latest on the Foxes throughout the week and around the clock. Make sure you keep yourself updated with our handy daily catch up... Must reads... Pundits' Leicester City predictions – where they got it wrong City give update on season tickets and direct debit payments Kane's City career revisited – how we rated Spurs striker's loan King tells story of how he gave former boss Eriksson a black eye For all your latest LCFC news, opinion, analysis and transfer gossip, click here You can follow our Foxes reporter Jordan Blackwell on Twitter, and his email address is [email protected]
Fousseni Diabate Puel’s first signing and the only recruit of his first transfer window, in January 2018, Diabate was hand-picked by the French boss, who had spotted him playing alongside his son Gregoire for Ligue 2 outfit Gazelec Ajaccio. The winger was intended to represent the Under-23s to allow him to adjust to the English game, but he was given a chance in the senior side for an FA Cup tie at Peterborough and shone, scoring two and setting up another. He featured in every Premier League game thereafter, showing glimpses of excellent technical and creative ability. But after the summer of 2018, his pitch-time dried up. He has since been on loan at Sivasspor and Amiens, popping up on the radar from time to time, most recently when he scored in a 4-4 thriller with PSG. He doesn’t appear to have a future at City, but at £2m, that’s no great loss. He was a cheap gamble that nearly paid off.
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Rating: 4/10 Ricardo Pereira The sole Puel signing who had previously played for the manager, Ricardo spent a year under the Frenchman’s tutelage on loan at Nice from Porto. That pre-existing relationship may have helped Ricardo swap Champions League football with the Portuguese champions for City in what seemed like a deal that was too good to be true. But there’s no need to pinch yourself, City really did get one of the best right-backs in world football for £20m. A player of the season winner in his maiden campaign, Ricardo is a contender for the crown once again after showing his qualities at the back and on the front foot. Quite simply, this was brilliant business.
Ricardo Pereira
(Image: Plumb Images/Leicester City FC via Getty Images)
Rating: 10/10 Jonny Evans Branded “the steal of the century” by Rodgers, Evans arrived at the King Power Stadium for a snip at £3.5m, City enacting the relegation release clause in his contract after he dropped down with West Brom. He took a few months to break the Wes Morgan-Harry Maguire partnership, but since then has been superb, organising City’s watertight defence and teaching Caglar Soyuncu the ropes this campaign. With his injuries at Manchester United and his age, there were some that thought Evans might be over the hill. He is anything but and could win the club’s player of the season this year. Rating: 10/10
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James Maddison There is a gulf in class between the Championship and the Premier League and it is a jump that many players have failed to make. But City felt confident that Maddison could do the business in the top flight and it has proven £24m well spent. The attacking midfielder took to the Premier League quickly, and his intelligent passing, ability to fool opponents and create space for himself, and his devilish set-piece deliveries have made him one of the vital cogs in City’s attacking play. Now a full England international, he has more than doubled his worth in 18 months at the King Power Stadium. That’s more good business. Rating: 9/10
James Maddison
(Image: Alex Pantling/Getty Images)
Danny Ward Kasper Schmeichel has built up enough goodwill over his near decade at City that only an injury is going to see the Dane miss out. As such, Ward has not made a single Premier League appearance for City yet. But he has played nine cup matches, and in those outings he has filled fans with faith that the club would be fine should Schmeichel suffer an injury. Wales international was a penalty shoot-out hero during his first season, and has pulled off some spectacular saves in his few outings. A £12m fee is a lot for a back-up goalkeeper but it could prove to be money well spent in the long run. Rating: 7/10 Rachid Ghezzal Poor Ghezzal. When you’re a spindly, Algerian, left-footed winger and you’re asked to replace a spindly, Algerian, left-footed winger who also happens to be one of the most technically brilliant players in the club’s history, it’s not easy, never mind the fact that, at £12m, he was only valued at a fifth of the departing Riyad Mahrez. Monaco fans rubbed their fans with glee when he was sold, but Puel knew Ghezzal from his time at Lyon, when the wide-man was in the youth ranks, so maybe he could get the best out of him. The early signs – a stunning strike against Fleetwood and a goal against Liverpool – were good, but after that, there was very little on show. For every nice pass, Ghezzal would be shrugged off the ball a few times. Unnecessarily booed by sections of the King Power crowd towards the end of the last campaign, Ghezzal’s future at the club looked bleak. He is on loan at Fiorentina, where he has barely featured, and is not likely to return permanently. Rating: 2/10
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If you want to follow all things Leicester City via social media then this is the place to find out how. Transfers, injuries, match-day videos and photos and the thoughts of the manager and his players, we’ve got you covered. We’ll be bringing the very latest on the Foxes throughout the week and around the clock. Make sure you keep yourself updated with our social media accounts... City on social media... Facebook: News, debate and nostalgia Twitter: All the latest City news as it happens You can follow our City reporter Jordan Blackwell on Twitter and his email address is [email protected] Sign up now to The Football Project newsletter to get all the latest Premier League news straight to your inbox!
Caglar Soyuncu There is a very different view of Soyuncu’s deal now than there was in the summer. Back then, there was a feeling that the Turkish international may not adjust to the Premier League and that the £19m transfer was a rare misfire under Macia and Puel. In his few outings in his debut Premier League season, Soyuncu was too rash and too prone to moments of over-confidence. There was a feeling that Filip Benkovic would be more likely to step up and take Maguire’s spot. That’s far from the case now, with Soyuncu maturing considerably alongside Evans to show his qualities as a bullish and skilful centre-half. Rating: 8/10
Caglar Soyuncu
(Image: Plumb Images/Leicester City FC via Getty Images)
Filip Benkovic Right now, the £13m signing of Benkovic is a difficult one to assess. When he moved on loan to Celtic and made light work of the Scottish Premier League under Rodgers, it looked like a potential bargain. But a couple of knocks, adding to the injury-prone reputation he was developing in Croatia, meant he did not return to City and take Maguire's spot as expected. Now, he is on loan at Bristol City, trying to get some minutes and experience under his belt after a few months watching from the stands at Leicester. Will the money have been worth it? We will have a better idea in a year. Rating: 5/10 Youri Tielemans (loan) It is hard to think of a more successful loan signing than Tielemans. He only played two games under Puel before the manager was shown the door, but if the Belgian midfielder was his parting gift, it was a very good one. Tielemans felt like the missing cog in the City system, and helped make ensure Rodgers enjoyed a new manager bounce, popping up with three goals and five assists in 13 outings. It was a successful enough spell to convince the one-time wonderkid to join City permanently that summer. Rating: 10/10 Average rating of nine signings: 7.2/10leicestershireliveFollow @leicsliveCommentsShow more commentsMore OnBrendan RodgersKing Power StadiumClaude PuelLeicester City FC
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| 'Steal of the century' | Steal century Rating Claude Puels Leicester City signings Leicestershire Live leicestermercuryLoad mobile navigationNewsLatest NewsCounty NewsLeicester NewsHinckley NewsLoughborough NewsTraffic TravelCrimeEducationHealthPoliticsBusinessJobsHistoryCelebs TVPropertyMotoringUK World NewsNews By AreaExpandIn Your AreaWhats OnLatest Whats OnFood DrinkFamily KidsMusic NightlifeShoppingExpandLeicester City FCTigersBusinessSportFootballRugbyLeicester RidersOther SportSport OpinionExpandSpecial FeaturesMy AccountSubscriptionsSign OutFuneral NoticesJobsBook adBuy photoAdvertise usPropertyVoucher CodesMarketplaceDirectoryPublic NoticesDatingDo1ThingInYourAreaDiscount CodesBuy photo UsMarketplaceWork usAdvertise UsSubscriptionsCompetition RulesHow ComplainCorrections ClarificationsPrivacy Notice NoticeRSS feedsNewsletters SignupNotifications Alerts help 2020 Local World frontSportFootballLeicester City FC SportSteal century Rating Claude Puels Leicester City signingsLeicester City transfer news A year end Frenchmans exit, assess success deals completed spell, Jonny Evans Fousseni DiabateShare CommentsByJordan BlackwellMark Wakefield10:00, 1 APR 2020SportVideo LoadingVideo UnavailableClick playTap playThe video start 8CancelPlay nowSign FREE email alerts LeicestershireLive Weekday Leicester City FCWe use email address send newsletters. Please ourPrivacy Noticefor information use data data protection rights.Thank subscribingWe newslettersShow meSee ourprivacy noticeInvalid EmailIts year Claude Puels divisive tenure King Power Stadium came end, Leicester City, flying high Premier League, doubt better place. The Frenchman left King Power soon replaced Brendan Rodgers dugout, left Celtic Foxes. City challenging place seasons Champions League, earlier season talk Premier League title challenge. Read More Related Articles Arrogance Man United icon makes James Maddison comparison Leicester City fans wont like Read More Related Articles Revealed: How James Maddisons form Leicester City seen transfer value increase However, players helping Rodgers achieve success signed Puel head recruitment Eduardo Macia, left Bordeaux shortly Rodgers arrived. Here, look signings Puel score 10. Leicester City latest This round things Leicester; onestop shop updated latest goings King Power Stadium beyond. Transfers, injuries, matchdays managers, weve got covered. Well bringing latest Foxes week clock. Make sure updated handy daily catch up... Must reads... Pundits Leicester City predictions got wrong City update season tickets direct debit payments Kanes City career revisited rated Spurs strikers loan King tells story gave boss Eriksson black eye For latest LCFC news, opinion, analysis transfer gossip, click You follow Foxes reporter Jordan Blackwell Twitter, email address Jordan.Blackwell Fousseni Diabate Puels signing recruit transfer window, January 2018, Diabate handpicked French boss, spotted playing alongside son Gregoire Ligue 2 outfit Gazelec Ajaccio. The winger intended represent Under23s allow adjust English game, given chance senior FA Cup tie Peterborough shone, scoring setting another. He featured Premier League game thereafter, showing glimpses excellent technical creative ability. But summer 2018, pitchtime dried up. He loan Sivasspor Amiens, popping radar time time, recently scored 44 thriller PSG. He doesnt appear future City, 2m, thats great loss. He cheap gamble nearly paid off. Read More Related Articles Big goals What reported Leicester City target said transfer rumours Read More Related Articles Philosophy How Leicester City coach hopes inspiration Rating: 410 Ricardo Pereira The sole Puel signing previously played manager, Ricardo spent year Frenchmans tutelage loan Nice Porto. That preexisting relationship helped Ricardo swap Champions League football Portuguese champions City like deal good true. But theres need pinch yourself, City best rightbacks world football 20m. A player season winner maiden campaign, Ricardo contender crown showing qualities foot. Quite simply, brilliant business. Ricardo Pereira Image: Plumb ImagesLeicester City FC Getty Images Rating: 1010 Jonny Evans Branded steal century Rodgers, Evans arrived King Power Stadium snip 3.5m, City enacting relegation release clause contract dropped West Brom. He took months break Wes MorganHarry Maguire partnership, superb, organising Citys watertight defence teaching Caglar Soyuncu ropes campaign. With injuries Manchester United age, thought Evans hill. He win clubs player season year. Rating: 1010 Read More Related Articles Leicester City target faces summer crossroads transfer decision looms reports Read More Related Articles You suffer Ayoze Perez admits Leicester City position favourite James Maddison There gulf class Championship Premier League jump players failed make. But City felt confident Maddison business flight proven 24m spent. The attacking midfielder took Premier League quickly, intelligent passing, ability fool opponents create space himself, devilish setpiece deliveries vital cogs Citys attacking play. Now England international, doubled worth 18 months King Power Stadium. Thats good business. Rating: 910 James Maddison Image: Alex PantlingGetty Images Danny Ward Kasper Schmeichel built goodwill near decade City injury going Dane miss out. As such, Ward single Premier League appearance City yet. But played cup matches, outings filled fans faith club fine Schmeichel suffer injury. Wales international penalty shootout hero season, pulled spectacular saves outings. A 12m fee lot backup goalkeeper prove money spent long run. Rating: 710 Rachid Ghezzal Poor Ghezzal. When youre spindly, Algerian, leftfooted winger youre asked replace spindly, Algerian, leftfooted winger happens technically brilliant players clubs history, easy, mind fact that, 12m, valued fifth departing Riyad Mahrez. Monaco fans rubbed fans glee sold, Puel knew Ghezzal time Lyon, wideman youth ranks, maybe best him. The early signs stunning strike Fleetwood goal Liverpool good, that, little show. For nice pass, Ghezzal shrugged ball times. Unnecessarily booed sections King Power crowd end campaign, Ghezzals future club looked bleak. He loan Fiorentina, barely featured, likely return permanently. Rating: 210 Leicester City social media If want follow things Leicester City social media place how. Transfers, injuries, matchday videos photos thoughts manager players, weve got covered. Well bringing latest Foxes week clock. Make sure updated social media accounts... City social media... Facebook: News, debate nostalgia Twitter: All latest City news happens You follow City reporter Jordan Blackwell Twitter email address jordan.blackwell Sign The Football Project newsletter latest Premier League news straight inbox Caglar Soyuncu There different view Soyuncus deal summer. Back then, feeling Turkish international adjust Premier League 19m transfer rare misfire Macia Puel. In outings debut Premier League season, Soyuncu rash prone moments overconfidence. There feeling Filip Benkovic likely step Maguires spot. Thats far case now, Soyuncu maturing considerably alongside Evans qualities bullish skilful centrehalf. Rating: 810 Caglar Soyuncu Image: Plumb ImagesLeicester City FC Getty Images Filip Benkovic Right now, 13m signing Benkovic difficult assess. When moved loan Celtic light work Scottish Premier League Rodgers, looked like potential bargain. But couple knocks, adding injuryprone reputation developing Croatia, meant return City Maguires spot expected. Now, loan Bristol City, trying minutes experience belt months watching stands Leicester. Will money worth it? We better idea year. Rating: 510 Youri Tielemans loan It hard think successful loan signing Tielemans. He played games Puel manager shown door, Belgian midfielder parting gift, good one. Tielemans felt like missing cog City system, helped ensure Rodgers enjoyed new manager bounce, popping goals assists 13 outings. It successful spell convince onetime wonderkid join City permanently summer. Rating: 1010 Average rating signings: 7.210leicestershireliveFollow commentsMore OnBrendan RodgersKing Power StadiumClaude PuelLeicester City FC SportallMost ReadMost RecentLeicester City FCThis Leicester City finish Premier League table radical new plansThe football season currently suspended ongoing coronavirus pandemicLeicester City eye shock swoop new season plan revealedLeicester City FCAll latest news, views transfer talk involving Foxes Premier League rivalsGary Lineker reveals thinks happen Leicester City Premier League seasonLeicester City FCEnglish football currently hold April 30 coronavirus pandemic, Leicester City currently place flightLeicester Citys transfer plan 142m Barcelona ace linked Chelsea Manchester United reportLeicester City FCLeicester City eyeing audacious Barcelonas Philippe Coutinho, according reportsThe latest Leicester City player contracts resolution edges nearerLeicester City FCFootball authorities season resuming June Fifpro start work player contracts. Europes 55 national football associations meet UEFA Wednesday set strategyLeicester City FCLeicester City Adidas concept kits revealed controversial away shirt Leicester City news Adidass trademark stripes return Foxes kits season, help Request A Kit, taken look possible designsThis Leicester City finish Premier League table radical new plansLeicester City FCThe football season currently suspended ongoing coronavirus pandemicRaise bar Leicester City boss Brendan Rodgers clubs summer transfer plansLeicester City FCIt looks like Leicester City willl big ambitions seasonSteal century Rating Claude Puels Leicester City signingsLeicester City FCLeicester City transfer news A year end Frenchmans exit, assess success deals completed spell, Jonny Evans Fousseni DiabateSeven players Leicester City nearly signed happened nextLeicester City FCA look Citys near misses transfer market, deals broke players ended up, including Jordan Veretout, Charles Aranguiz, moreMost ReadMost RecentIn NewsWarning irresponsible drivers speeding Leicestershire roads coronavirus lockdownSome drivers road foot downRules contactless payments change WednesdayUK World NewsSome shops longer necessary changes, given strain theyre under.Burbage woman falls cracks government scheme support workers In NewsNatalie Greenaway, Burbage, paid furlough schemeJump coronavirus deaths Leicesters hospitalsIn NewsThe UK wide death toll stands 1,789Loughborough restaurant badly damaged breaks kitchenIn NewsTarboush open delivery ordersLeicester City FCThis Leicester City finish Premier League table radical new plansThe football season currently suspended ongoing coronavirus pandemicRaise bar Leicester City boss Brendan Rodgers clubs summer transfer plansLeicester City FCIt looks like Leicester City willl big ambitions seasonSteal century Rating Claude Puels Leicester City signingsLeicester City FCLeicester City transfer news A year end Frenchmans exit, assess success deals completed spell, Jonny Evans Fousseni DiabateSeven players Leicester City nearly signed happened nextLeicester City FCA look Citys near misses transfer market, deals broke players ended up, including Jordan Veretout, Charles Aranguiz, moreUnworkable Plans Leicester Citys season resumed flawed says expertFootball NewsThe idea mooted quick way resolve Premier League season Top StoriesIntroducing LeicestershireLives new Stay In content featuring films fitnessIn NewsWell bringing daily ideas help lockdown.I want job government wont pay meIn NewsNatalie Greenaway, Burbage, paid furlough scheme48 new Leicestershire coronavirus cases 250 people test positiveCoronavirusThe outbreak continues spread globeRestaurant badly damaged breaks kitchenIn NewsTarboush open delivery ordersMan explains chosen selfisolate 200 daysIn NewsHe sign home warning othersSchool warns parents free school meals scam messageIn NewsFraudsters ask bank details fake messageInvestigation underway rips house In NewsPart Rosebank Road cordoned offCall award George Cross NHS battles coronavirusIn NewsA petition launched recognise medics bravery testing circumstancesThis Leicester City finish Premier League table radical new planLeicester City FCThe football season currently suspended ongoing coronavirus pandemicLeicester Citys transfer plan 142m Barcelona ace linked Chelsea Manchester United reportLeicester City FCLeicester City eyeing audacious Barcelonas Philippe Coutinho, according reportsLeicester council sets aside emergency properties rough sleepers coronavirus symptomsCoronavirusOfficials unprecedented demand helpConcerned staff delivery depot told key workersCoronavirusSome employees happy going work putting risk catching coronavirus NewsSportWhats OnFollow usInYourAreaDiscount CodesBuy photo UsMarketplaceWork usAdvertise UsSubscriptionsCompetition RulesHow ComplainCorrections ClarificationsPrivacy Notice NoticeRSS feedsNewsletters SignupNotifications Alerts help 2020 Local World | 2,020 | [
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] | 1 | POSITIVE | 61 |
https://www.gizmodo.com.au/2020/04/australian-federal-police-facial-recognition-app-clearview-ai/ | 2020-04-15T00:00:00 | en | AFP Admits To Using The Dodgy Facial Recognition App Clearview AI | Gizmodo Australia |
AFP Admits To Using The Dodgy Facial Recognition App Clearview AI | Gizmodo Australia
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AFP Admits To Using The Dodgy Facial Recognition App Clearview AI
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AFP Admits To Using The Dodgy Facial Recognition App Clearview AI
Tegan Jones |
Apr 15, 2020, 12:32pm
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Image: Getty Images
Back in January the tech world was up in arms over a new facial recognition app called Clearview AI. Created by Australian Hoan Ton-That, it has raised alarming privacy concerns due to its ability to compare a photo to a database of over 3 billion images that have been scraped from social media sites.
It had already been used by U.S. law enforcement to solve crimes, which led to questions over whether it had been utilised in Australia. At the time, the Australian Federal Police (AFP) denied using Clearview AI. It has now been revealed that some of its officers had.
The original story, written by the New York Times, revealed the app was popular with law enforcement agencies because imperfect photographs could be used to accurately identify a person. This brought about concerns around accuracy and the possibility of false convictions.
And while Clearview AI stated that only publicly available images were used - for example, a public Facebook profile – deleting the images or changing your privacy settings later would not remove those photos from the app's database.
Another issue that arose was the amount of control that the company seemed to have over the search results. Journalist Kashmir Hill found some of her own photos in the system, but those images reportedly disappeared after the company discovered she was asking police offices to run her photo through the system. This incident was later dismissed by founder Ton-That as a 'software bug'.
The AFP originally denied it used Clearview AI
Despite reports from U.S. police officers regarding successful arrests due to using the app, the abundance of red flags led to the question of whether our own law enforcement - particularly the AFP and ASIO were trialling it.
Ton-That told the ABC in January that Australian customers were trialling the app for child exploitation cases, but the AFP publicly denied its use and in some cases declined to comment.
Gizmodo Australia asked the AFP in January whether it had used the Clearview AI app. "The AFP does not use Clearview AI," said a AFP spokesperson in an email. When also asked whether the AFP has been in talks with Clearview AI a spokesperson said, "We don’t have that advice."
A Freedom of Information (FOI) request was also submitted to the AFP by Gizmodo Australia regarding Clearview AI and it was rejected.
It has since been revealed that AFP officers were in fact using the app.
We Found Clearview AI's Shady Face Recognition App
A face recognition app used by thousands of law enforcement agencies, which has drawn considerable scrutiny in past weeks due to its creator's dubious data collection efforts, contains code hinting at a range of unreported potential features, based on a version of the app discovered by Gizmodo.
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Documents seen by Buzzfeed News in late February revealed email addresses connected to officers at state police departments in Queensland, South Australia and Victoria had signed up for accounts on Clearview AI. It is reported that over 900 searches had been run by these accounts, with a further 100 conducted by the AFP. Some of these searches were conducted in January.
At the time, it seemed like the AFP was potentially unaware of some of its officers were using the app.
"The AFP requested the names associated with the accounts registered using AFP email addresses, but these have not been provided. Without this information, the AFP is not in a position to provide further information or comment," an AFP spokesperson said to Gizmodo Australia in an email.
The AFP finally admits its staff used Clearview AI, despite earlier denials
According to the ABC, despite these earlier denials, the AFP finally admitted to using Clearview AI on Tuesday in response to a question on notice about its use of the app from Shadow Attorney-General Mark Dreyfus in February.
It was revealed that AFP officers working in the Australian Centre to Counter Child Exploitation (ACCCE) signed up for a free trial of Clearview AI and used it for searches between November 2, 2019 and January 22, 2020. On January 21, a day before the searches stopped, the AFP told Gizmodo Australia it doesn't use Clearview AI.
While we now know the app was used, the AFP maintains it hasn't been formally adopted by the department.
"The AFP has not adopted the facial recognition platform Clearview.AI as an enterprise product and has not entered into any formal procurement arrangements with Clearview.AI."
A Parliamentary Joint Committee on Intelligence and Security review also questioned the AFP about FOI rejections regarding Clearview AI. The AFP has essentially said that use of the app within the ACCCE was discovered after these requests were completed.
"The AFP received three requests under the Freedom of Information Act 1982 (FOI Act) on 22 January 2020, 24 January 2020, and 4 February 2020, seeking documents held by the AFP relating to Clearview AI. The requests were processed in accordance with the FOI Act, in that reasonable searches were undertaken by the AFP portfolio with responsibility for facial identification capabilities. No information relating to Clearview AI was identified.
On 14 February 2020, the AFP wrote to each FOI applicant stating reasonable steps had been taken to find the documents, however no documents had been located. As such, the FOI requests were refused in accordance with section 24A(b)(ii) of the FOI Act, which provides an agency may refuse a request for access to a document if all reasonable steps have been taken to find the document and the agency is satisfied the document does not exist.
It was subsequently discovered, in our response to Question 1 (above), the AFP-hosted Australian Centre to Counter Child Exploitation (ACCCE) held information relevant to Clearview AI, which was not identified in response to the earlier freedom of information requests."
Concerns surround the AFP using Clearview AI
While Clearview AI has been lauded as a tool for convictions in the U.S., the question of whether use of an unofficial, private service being used by the AFP is problematic has been raised by the Labor party.
"The Home Affairs Minister must explain whether the use of Clearview without legal authorisation has jeopardised AFP investigations into child exploitation," said Dreyfuys and other unnamed Labor leaders in a statement to the ABC.
"The use by AFP officers of private services to conduct official AFP investigations in the absence of any formal agreement or assessment as to the system's integrity or security is concerning."
Adding to the concern is some of the potential features. Gizmodo reporters in the U.S. found a public version of Clearview AI on an Amazon server. Using an APK, they were able to download it to an Android device and inspect some of the code and data.
This information revealed development of a private search mode, voice search and in-app functionality to allow officers to take photos of people to run through the database.
It also revealed the name of an AR Glasses company that Clearview AI once planned to partner with.
The AFP is currently cooperating with the Office of the Australian Information Commissioner (OAIC) in relation to its use of Clearview AI but doesn't seem to be ruling out its potential use in the future.
In response to a request for comment from Gizmodo Australia, an AFP spokesperson said:
"The AFP seeks to balance the privacy, ethical and legal challenges of new technology with its potential to solve crime and even save victims. We are actively looking to improve our processes and governance without necessarily constraining innovative investigative approaches."
We Found Clearview AI's Shady Face Recognition App
A face recognition app used by thousands of law enforcement agencies, which has drawn considerable scrutiny in past weeks due to its creator's dubious data collection efforts, contains code hinting at a range of unreported potential features, based on a version of the app discovered by Gizmodo.
Read more
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We live in an age of super-smart technology built to make our lives easier, so don’t struggle with the menial chores of the day when your phone could be doing the job for you. Here are some of the best automations you can set up on your phone, freeing you from the task and giving you more time to do something else more interesting instead.
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| AFP Admits To Using The Dodgy Facial Recognition App Clearview AI | AFP Admits To Using The Dodgy Facial Recognition App Clearview AI Gizmodo Australia Toggle navigation Reviews Camera Reviews Car Reviews Phone Reviews PC Reviews Smartwatch Reviews Gadgets Reviews Gaming Reviews Entertainment Reviews Smart Home Gadgets Mobile Car Tech Online Science Health Cameras Computing Gaming Entertainment AFP Admits To Using The Dodgy Facial Recognition App Clearview AI Our Latest Look At Dune Reveals Some Timely Changes From The Novel How This Dubious Doctor Became The Most Quoted Human On The Planet AFP Admits To Using The Dodgy Facial Recognition App Clearview AI Tegan Jones Apr 15, 2020, 12:32pm Share Tweet Image: Getty Images Back January tech world arms new facial recognition app called Clearview AI. Created Australian Hoan TonThat, raised alarming privacy concerns ability compare photo database 3 billion images scraped social media sites. It U.S. law enforcement solve crimes, led questions utilised Australia. At time, Australian Federal Police AFP denied Clearview AI. It revealed officers had. The original story, written New York Times, revealed app popular law enforcement agencies imperfect photographs accurately identify person. This brought concerns accuracy possibility false convictions. And Clearview AI stated publicly available images example, public Facebook profile deleting images changing privacy settings later remove photos apps database. Another issue arose control company search results. Journalist Kashmir Hill photos system, images reportedly disappeared company discovered asking police offices run photo system. This incident later dismissed founder TonThat software bug. The AFP originally denied Clearview AI Despite reports U.S. police officers successful arrests app, abundance red flags led question law enforcement particularly AFP ASIO trialling it. TonThat told ABC January Australian customers trialling app child exploitation cases, AFP publicly denied use cases declined comment. Gizmodo Australia asked AFP January Clearview AI app. The AFP use Clearview AI, said AFP spokesperson email. When asked AFP talks Clearview AI spokesperson said, We dont advice. A Freedom Information FOI request submitted AFP Gizmodo Australia Clearview AI rejected. It revealed AFP officers fact app. We Found Clearview AIs Shady Face Recognition App A face recognition app thousands law enforcement agencies, drawn considerable scrutiny past weeks creators dubious data collection efforts, contains code hinting range unreported potential features, based version app discovered Gizmodo. Read Documents seen Buzzfeed News late February revealed email addresses connected officers state police departments Queensland, South Australia Victoria signed accounts Clearview AI. It reported 900 searches run accounts, 100 conducted AFP. Some searches conducted January. At time, like AFP potentially unaware officers app. The AFP requested names associated accounts registered AFP email addresses, provided. Without information, AFP position provide information comment, AFP spokesperson said Gizmodo Australia email. The AFP finally admits staff Clearview AI, despite earlier denials According ABC, despite earlier denials, AFP finally admitted Clearview AI Tuesday response question notice use app Shadow AttorneyGeneral Mark Dreyfus February. It revealed AFP officers working Australian Centre Counter Child Exploitation ACCCE signed free trial Clearview AI searches November 2, 2019 January 22, 2020. On January 21, day searches stopped, AFP told Gizmodo Australia doesnt use Clearview AI. While know app used, AFP maintains formally adopted department. The AFP adopted facial recognition platform Clearview.AI enterprise product entered formal procurement arrangements Clearview.AI. A Parliamentary Joint Committee Intelligence Security review questioned AFP FOI rejections Clearview AI. The AFP essentially said use app ACCCE discovered requests completed. The AFP received requests Freedom Information Act 1982 FOI Act 22 January 2020, 24 January 2020, 4 February 2020, seeking documents held AFP relating Clearview AI. The requests processed accordance FOI Act, reasonable searches undertaken AFP portfolio responsibility facial identification capabilities. No information relating Clearview AI identified. On 14 February 2020, AFP wrote FOI applicant stating reasonable steps taken documents, documents located. As such, FOI requests refused accordance section 24Abii FOI Act, provides agency refuse request access document reasonable steps taken document agency satisfied document exist. It subsequently discovered, response Question 1 above, AFPhosted Australian Centre Counter Child Exploitation ACCCE held information relevant Clearview AI, identified response earlier freedom information requests. Concerns surround AFP Clearview AI While Clearview AI lauded tool convictions U.S., question use unofficial, private service AFP problematic raised Labor party. The Home Affairs Minister explain use Clearview legal authorisation jeopardised AFP investigations child exploitation, said Dreyfuys unnamed Labor leaders statement ABC. The use AFP officers private services conduct official AFP investigations absence formal agreement assessment systems integrity security concerning. Adding concern potential features. Gizmodo reporters U.S. public version Clearview AI Amazon server. Using APK, able download Android device inspect code data. This information revealed development private search mode, voice search inapp functionality allow officers photos people run database. It revealed AR Glasses company Clearview AI planned partner with. The AFP currently cooperating Office Australian Information Commissioner OAIC relation use Clearview AI doesnt ruling potential use future. In response request comment Gizmodo Australia, AFP spokesperson said: The AFP seeks balance privacy, ethical legal challenges new technology potential solve crime save victims. We actively looking improve processes governance necessarily constraining innovative investigative approaches. We Found Clearview AIs Shady Face Recognition App A face recognition app thousands law enforcement agencies, drawn considerable scrutiny past weeks creators dubious data collection efforts, contains code hinting range unreported potential features, based version app discovered Gizmodo. Read Trending Stories Right Now 8 Things You Should Be Automating On Your Smartphone David Nield 15 Apr 2020 9:45 AM We live age supersmart technology built lives easier, dont struggle menial chores day phone job you. Here best automations set phone, freeing task giving time interesting instead. The True Story Of The Lost Boys Sax Man Germain Lussier 15 Apr 2020 3:30 AM People night change course life. What dont decades realise it. Want Gizmodos email newsletter? Alert competitions deals Latest Deals The Fastest NBN Providers According To Netflix Dayum, Telstra Just Doubled The Data Of Its Cheapest Plan Tell Us How Youre Coping With The Coronavirus Epidemic And You Could Win A 500 Uber Eats Voucher Insane Deal: 50 Off Google Pixel 4 Trending Articles 1 8 Things You Should Be Automating On Your Smartphone 2 The True Story Of The Lost Boys Sax Man 3 Watch A Suzuki Swift Leap Into The Air Like A Freaking Jet Over A Roundabout About Advertise Terms Use Gizmodo International Log Gizmodo Username Email Password Remember Dont account? Create Forgot password? Click reset Sign Gizmodo User Details @ This permanent identity Gizmodo, Kotaku Lifehacker Australia. Your email valid account activation Minimum 8 standard keyboard characters Subscriptions Email newsletters contain brief summary stories, plus details competitions reader events. Gizmodo Newsletter Kotaku Newsletter Lifehacker Newsletter Yes, I wish receive exclusive discounts, special offers competitions partners. Send Activation Email Already account? Log Reset Password Email Reset Password Back login Gizmodo International Gizmodo US Gizmodo UK Gizmodo Spain Gizmodo Brazil Gizmodo Japan Close | 2,020 | [
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https://technoweekly.com/uncategorized/311986/software-for-carpet-cleaning-market-quality-quantity-analysis-ai-field-management-thoughtful-systems/ | 2020-10-20T00:00:00 | en | Software for Carpet Cleaning Market Quality & Quantity Analysis | Ai Field Management, Thoughtful Systems – TechnoWeekly |
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Software for Carpet Cleaning Market Quality & Quantity Analysis | Ai Field Management, Thoughtful Systems
Mark Baxter October 20, 2020
JCMR recently Announced Software for Carpet Cleaning study with 200+ market data Tables and Figures spread through Pages and easy to understand detailed TOC on “Global Software for Carpet Cleaning Market. Global Software for Carpet Cleaning Market allows you to get different methods for maximizing your profit. The research study provides estimates for Software for Carpet Cleaning Forecast till 2028*. Some of the Leading key Company’s Covered for this Research are Ai Field Management, Thoughtful Systems, RealGreen Systems, Principal Focus, Jobber, Housecall Pro, Zenbooker, RazorSync, ServiceM8, Real Green Systems ,
Our report will be revised to address COVID-19 effects on the Global Software for Carpet Cleaning Market.
Click to get Global Software for Carpet Cleaning Market Research Sample PDF Copy Here @: jcmarketresearch.com/report-details/1128493/sample
Global Software for Carpet Cleaning Market for a Leading company is an intelligent process of gathering and analyzing the numerical data related to services and products. This Research Give idea to aims at your targeted customer’s understanding, needs and wants. Also, reveals how effectively a company can meet their requirements. The market research collects data about the customers, marketing strategy, competitors. The Software for Carpet Cleaning Manufacturing industry is becoming increasingly dynamic and innovative, with a greater number of private players entering the industry.
Important Features that are under offering & key highlights of the report:
1) Who are the Leading Key Company in Global Software for Carpet Cleaning Data Surway Report?
Following are list of players that are currently profiled in the report Ai Field Management, Thoughtful Systems, RealGreen Systems, Principal Focus, Jobber, Housecall Pro, Zenbooker, RazorSync, ServiceM8, Real Green Systems ,
** List of companies mentioned may vary in the final report subject to Name Change / Merger etc.
2) What will the market size be in 2028 and what will the growth rate be?
In 2019, the Global Software for Carpet Cleaning Market size was xx million USD and it is expected to reach USD xx million by the end of 2028, with a CAGR of xx% during 2019-2028.
3) What are the Market Applications & Types:
The study is segmented by following Product Type: Cloud-based, On-premises,
Major applications/end-users industry are: Small and Medium Enterprises (SMEs), Large Enterprises,
**The market is valued based on weighted average selling price (WASP) and includes any applicable taxes on manufacturers. All currency conversions used in the creation of this report have been calculated using constant annual average 2019 currency rates.
To comprehend Global Software for Carpet Cleaning Market dynamics in the world mainly, the worldwide Software for Carpet Cleaning Market is analyzed across major regions. JCMR also provides customized specific regional and country-level reports for the following areas.
• North America: United States, Canada, and Mexico.
• South & Central America: Argentina, Chile, and Brazil.
• Middle East & Africa: Saudi Arabia, UAE, Turkey, Egypt and South Africa.
• Europe: UK, France, Italy, Germany, Spain, and Russia.
• Asia-Pacific: India, China, Japan, South Korea, Indonesia, Singapore, and Australia.
Enquire for Segment [email protected] jcmarketresearch.com/report-details/1128493/enquiry
Competitive Analysis:
The key players are highly focusing innovation in production technologies to improve efficiency and shelf life. The best long-term growth opportunities for this sector can be captured by ensuring ongoing process improvements and financial flexibility to invest in the optimal strategies. Company profile section of players such as Ai Field Management, Thoughtful Systems, RealGreen Systems, Principal Focus, Jobber, Housecall Pro, Zenbooker, RazorSync, ServiceM8, Real Green Systems , includes its basic information like legal name, website, headquarters, its market position, historical background and top 10 closest competitors by Market capitalization / revenue along with contact information. Each player/ manufacturer revenue figures, growth rate and gross profit margin is provided in easy to understand tabular format for past 5 years and a separate section on recent development like mergers, acquisition or any new product/service launch including SWOT analysis of each key players etc.
Research Parameter/ Research Methodology
Primary Research:
The primary sources involve the industry experts from the Software for Carpet Cleaning industry including the management organizations, processing organizations, analytics service providers of the industry’s value chain. All primary sources were interviewed to gather and authenticate qualitative & quantitative information and determine the future prospects.
In the extensive primary research process undertaken for this study, the primary sources – industry experts such as CEOs, vice presidents, marketing director, technology & innovation directors, founders and related key executives from various key companies and organizations in the Global Bio-Waste Containers in the industry have been interviewed to obtain and verify both qualitative and quantitative aspects of this research study.
Secondary Research:
In the Secondary research crucial information about the industries value chain, total pool of key players, and application areas. It also assisted in market segmentation according to industry trends to the bottom-most level, geographical markets and key developments from both market and technology-oriented perspectives.
Buy Full Copy with Exclusive Discount on Global Software for Carpet Cleaning Market Surway @ jcmarketresearch.com/report-details/1128493/discount
In this study, the years considered to estimate the market size of Software for Carpet Cleaning are as follows:
History Year: 2013-2018
Base Year: 2019
Estimated Year: 2020
Forecast Year 2020 to 2028
Key Stakeholders in Global Software for Carpet Cleaning Market:
Software for Carpet Cleaning Manufacturers
Software for Carpet Cleaning Distributors/Traders/Wholesalers
Software for Carpet Cleaning Subcomponent Manufacturers
Industry Association
Downstream Vendors
**Actual Numbers & In-Depth Analysis, Business opportunities, Market Size Estimation Available in Full Report.
Purchase Most Recent Research Report Directly Instantly @ jcmarketresearch.com/checkout/1128493
Thanks for reading this article; you can also get individual chapter wise section or region wise report version like North America, Europe or Asia.
About Author:
JCMR global research and market intelligence consulting organization is uniquely positioned to not only identify growth opportunities but to also empower and inspire you to create visionary growth strategies for futures, enabled by our extraordinary depth and breadth of thought leadership, research, tools, events and experience that assist you for making goals into a reality. Our understanding of the interplay between industry convergence, Mega Trends, technologies and market trends provides our clients with new business models and expansion opportunities. We are focused on identifying the “Accurate Forecast” in every industry we cover so our clients can reap the benefits of being early market entrants and can accomplish their “Goals & Objectives”.
Contact Us:
JCMARKETRESEARCH
Mark Baxter (Head of Business Development)
Phone: +1 (925) 478-7203
Email: [email protected]
Connect with us at – LinkedIn
www.jcmarketresearch.com
Ai Field Managementglobal Software for Carpet Cleaning market by ApplicationHousecall ProJobberPrincipal FocusRazorSyncReal Green Systems_x000D_RealGreen SystemsServiceM8Software for Carpet CleaningSoftware for Carpet Cleaning market after Covid 19Software for Carpet Cleaning market Before COVID 19Software for Carpet Cleaning Market by rising trendsSoftware for Carpet Cleaning market Covid 19 impactSoftware for Carpet Cleaning Market DevelopmentSoftware for Carpet Cleaning market FutureSoftware for Carpet Cleaning Market GrowthSoftware for Carpet Cleaning market in AsiaSoftware for Carpet Cleaning market in AustraliaSoftware for Carpet Cleaning market in EuropeSoftware for Carpet Cleaning market in IndiaSoftware for Carpet Cleaning market in Key CountriesSoftware for Carpet Cleaning market in north AmericaSoftware for Carpet Cleaning market in UkSoftware for Carpet Cleaning market in USSoftware for Carpet Cleaning Market Latest ReportSoftware for Carpet Cleaning market SWOT analysisSoftware for Carpet Cleaning market Top ManufacturersSoftware for Carpet Cleaning Sales marketThoughtful SystemsZenbooker
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| Software for Carpet Cleaning Market Quality & Quantity Analysis | Software Carpet Cleaning Market Quality Quantity Analysis Ai Field Management, Thoughtful Systems TechnoWeekly Skip content Menu Android coronavirus Energy News Science Space Technologies for: TechnoWeekly Menu Android coronavirus Energy News Science Space Technologies for: Flash News Online Examination System Market increasing demand Industry Professionals:OnlineQuizBuilder, Edbase, Go4Read Taxi Cab Service Market Driving Factors, 2020 Market Analysis, Investment Feasibility Trends Green Technology Market 2020 By Growth Projection, Strategic Assessment, Leading Players GE, Spruce Finance, Vivint Solar, Solar Spectrum, JA Solar Holdings, ALAN Manufacturing , Aqualogic , Aleo, Trane , Trina Solar Limited, RUUD, Siemens, Ecomart Table Tennis Market Size Growth Analysis Forecast To 2025 Disposable Latex Gloves Market 2020 T0 2027 Top players, Industry growth Research Report Wireless Broadband In Public Safety Market 2020 By Growth Projection, Strategic Assessment, Leading Players Intracom Telecom, Redline communications, LigoWave Deliberant, Netronics Technologies, SuperCom Alvarion Technologies, Proxim Wireless, Radwin, Cambium Networks IoT Connectivity Solutions Industry: 2020 2026 Opportunities, Challenges, Strategies Forecasts Post COVID19 Impact Analysis ATT US, Cisco US, Verizon US, Vodafone UK, Ericsson Sweden, Sierra Wireless Canada, Orange France, Telefnica Spain, Huawei China Impact COVID19 Cremation Furnace Market: Value Chain, Dynamics Key Players Matthews, BL, FT, American inerators, ThermTec, Mold Inhibitor Market Research Report: Size, Share, Growth, Trends Forecast 2026 Data Management Platforms Market 2020 By Growth Projection, Strategic Assessment, Leading Players Adobe Systems , IBM Corporation, Informatica, Neustar, , SAP SE, KBM Group LLC, SAS Institute, Turn , Rocket Fuel, , Cxense ASA, IgnitionOne, Lotame Solutions , eXelate, ., Krux Digital , Microsoft Corporation, Cloudera , Oracle Corporation Tuesday, October 20, 2020 News Uncategorized Software Carpet Cleaning Market Quality Quantity Analysis Ai Field Management, Thoughtful Systems Mark Baxter October 20, 2020 JCMR recently AnnouncedSoftware Carpet Cleaning study 200 market data Tables Figures spread Pages easy understand detailed TOC Global Software Carpet Cleaning Market.Global Software Carpet Cleaning Marketallows different methods maximizing profit. The research study provides estimates forSoftware Carpet Cleaning Forecast till 2028. Some Leading key Companys Covered Research Ai Field Management, Thoughtful Systems, RealGreen Systems, Principal Focus, Jobber, Housecall Pro, Zenbooker, RazorSync, ServiceM8, Real Green Systems , Our report revised address COVID19 effects Global Software Carpet Cleaning Market. Click Global Software Carpet Cleaning MarketResearch Sample PDF Copy Here reportdetails1128493sample Global Software Carpet Cleaning Market Leading company intelligent process gathering analyzing numerical data related services products. This Research Give idea aims targeted customers understanding, needs wants. Also, reveals effectively company meet requirements. The market research collects data customers, marketing strategy, competitors. TheSoftware Carpet Cleaning Manufacturing industry increasingly dynamic innovative, greater number private players entering industry. Important Features offering key highlights report: 1 Who Leading Key Company GlobalSoftware Carpet Cleaning Data Surway Report? Following list players currently profiled report Ai Field Management, Thoughtful Systems, RealGreen Systems, Principal Focus, Jobber, Housecall Pro, Zenbooker, RazorSync, ServiceM8, Real Green Systems , List companies mentioned vary final report subject Name Change Merger etc. 2 What market size 2028 growth rate be? In 2019, GlobalSoftware Carpet Cleaning Market size xx million USD expected reach USD xx million end 2028, CAGR xx 20192028. 3 What Market Applications Types: The study segmented following Product Type: Cloudbased, Onpremises, Major applicationsendusers industry are: Small Medium Enterprises SMEs, Large Enterprises, The market valued based weighted average selling price WASP includes applicable taxes manufacturers. All currency conversions creation report calculated constant annual average 2019 currency rates. To comprehend Global Software Carpet Cleaning Marketdynamics world mainly, worldwideSoftware Carpet Cleaning Marketis analyzed major regions. JCMR provides customized specific regional countrylevel reports following areas. North America: United States, Canada, Mexico. South Central America: Argentina, Chile, Brazil. Middle East Africa: Saudi Arabia, UAE, Turkey, Egypt South Africa. Europe: UK, France, Italy, Germany, Spain, Russia. AsiaPacific: India, China, Japan, South Korea, Indonesia, Singapore, Australia. Enquire Segment [emailprotected]reportdetails1128493enquiry Competitive Analysis: The key players highly focusing innovation production technologies improve efficiency shelf life. The best longterm growth opportunities sector captured ensuring ongoing process improvements financial flexibility invest optimal strategies. Company profile section players Ai Field Management, Thoughtful Systems, RealGreen Systems, Principal Focus, Jobber, Housecall Pro, Zenbooker, RazorSync, ServiceM8, Real Green Systems ,includes basic information like legal name, website, headquarters, market position, historical background 10 closest competitors Market capitalization revenue contact information. Each player manufacturer revenue figures, growth rate gross profit margin provided easy understand tabular format past 5 years separate section recent development like mergers, acquisition new productservice launch including SWOT analysis key players etc. Research Parameter Research Methodology Primary Research: The primary sources involve industry experts theSoftware Carpet Cleaning industry including management organizations, processing organizations, analytics service providers industrys value chain. All primary sources interviewed gather authenticate qualitative quantitative information determine future prospects. In extensive primary research process undertaken study, primary sources industry experts CEOs, vice presidents, marketing director, technology innovation directors, founders related key executives key companies organizations Global BioWaste Containers industry interviewed obtain verify qualitative quantitative aspects research study. Secondary Research: In Secondary research crucial information industries value chain, total pool key players, application areas. It assisted market segmentation according industry trends bottommost level, geographical markets key developments market technologyoriented perspectives. Buy Full Copy Exclusive Discount Global Software Carpet Cleaning Market Surway@reportdetails1128493discount In study, years considered estimate market size Software Carpet Cleaning follows: History Year: 20132018 Base Year: 2019 Estimated Year: 2020 Forecast Year 2020to 2028 Key Stakeholders GlobalSoftware Carpet Cleaning Market: Software Carpet Cleaning Manufacturers Software Carpet Cleaning DistributorsTradersWholesalers Software Carpet Cleaning Subcomponent Manufacturers Industry Association Downstream Vendors Actual Numbers InDepth Analysis, Business opportunities, Market Size Estimation Available Full Report. Purchase Most Recent Research Report Directly Instantly @checkout1128493 Thanks reading article; individual chapter wise section region wise report version like North America, Europe Asia. About Author: JCMR global research market intelligence consulting organization uniquely positioned identify growth opportunities empower inspire create visionary growth strategies futures, enabled extraordinary depth breadth thought leadership, research, tools, events experience assist making goals reality. Our understanding interplay industry convergence, Mega Trends, technologies market trends provides clients new business models expansion opportunities. We focused identifying Accurate Forecast industry cover clients reap benefits early market entrants accomplish Goals Objectives. Us: JCMARKETRESEARCH Mark Baxter Head Business Development Phone: 1 925 4787203 Email:[emailprotected] Connect LinkedIn Ai Field Managementglobal Software Carpet Cleaning market ApplicationHousecall ProJobberPrincipal FocusRazorSyncReal Green Systems_x000D_RealGreen SystemsServiceM8Software Carpet CleaningSoftware Carpet Cleaning market Covid 19Software Carpet Cleaning market Before COVID 19Software Carpet Cleaning Market rising trendsSoftware Carpet Cleaning market Covid 19 impactSoftware Carpet Cleaning Market DevelopmentSoftware Carpet Cleaning market FutureSoftware Carpet Cleaning Market GrowthSoftware Carpet Cleaning market AsiaSoftware Carpet Cleaning market AustraliaSoftware Carpet Cleaning market EuropeSoftware Carpet Cleaning market IndiaSoftware Carpet Cleaning market Key CountriesSoftware Carpet Cleaning market north AmericaSoftware Carpet Cleaning market UkSoftware Carpet Cleaning market USSoftware Carpet Cleaning Market Latest ReportSoftware Carpet Cleaning market SWOT analysisSoftware Carpet Cleaning market Top ManufacturersSoftware Carpet Cleaning Sales marketThoughtful SystemsZenbooker Post navigation Industrial Security System Market: Overview, Opportunities, Analysis Features, Benefits, Manufacturing Cost Forecast To 2024Data Loss Prevention DLP Software Market 20202026 Comprehensive Study COVID19 Impact Analysis Worldwide Key Players: ActivTrak, Jungle Disk, CipherCloud, Arcserve, Fortinet, Barracuda, Mimecast, Forcepoint, Code42, McAfee, WatchGuard, Netskope, Zscaler, Trend Micro, Symantec, Teramind, Teva Pharmaceuticals, Sanofi Genzyme, Bayer, Pfizer, etc. InForGrowth for: Recent Posts Online Examination System Market increasing demand Industry Professionals:OnlineQuizBuilder, Edbase, Go4Read Taxi Cab Service Market Driving Factors, 2020 Market Analysis, Investment Feasibility Trends Green Technology Market 2020 By Growth Projection, Strategic Assessment, Leading Players GE, Spruce Finance, Vivint Solar, Solar Spectrum, JA Solar Holdings, ALAN Manufacturing , Aqualogic , Aleo, Trane , Trina Solar Limited, RUUD, Siemens, Ecomart Table Tennis Market Size Growth Analysis Forecast To 2025 Disposable Latex Gloves Market 2020 T0 2027 Top players, Industry growth Research Report Archives October 2020 September 2020 August 2020 July 2020 June 2020 May 2020 Categories Android coronavirus Energy News Science Space Technologies Uncategorized Meta Log Entries feed Comments feed Proudly powered WordPress Theme: TimesNews By . 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https://bioethics.com/archives/53576 | 2020-12-18T00:00:00 | en | Google AI Researcher's Departure Ignites New Conflict Over Ethics | Bioethics.com |
Google AI Researcher's Departure Ignites New Conflict Over Ethics | Bioethics.com
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Google AI Researcher’s Departure Ignites New Conflict Over Ethics
December 17, 2020
(Bloomberg) – Google has gotten itself into another management crisis. On Dec. 2, Timnit Gebru, an artificial intelligence researcher best known for showing how facial recognition algorithms are better at identifying White people than Black people, said she’d been fired. Gebru’s boss described her departure as a resignation, but both sides acknowledged the conflict centered on Google’s discomfort with a research paper Gebru planned to publish about ethical issues related to technology that underpins some of the company’s key products.
Posted by Bioethics Pundit
Posted in Artificial Intelligence, Emerging Technologies, highlights, Human Dignity, News
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| Google AI Researcher's Departure Ignites New Conflict Over Ethics | Google AI Researchers Departure Ignites New Conflict Over Ethics Home About Events Bioethics Resources Featured Articles Academic Programs Certificates Bioethics Centers Institutions Bioethics Journals Publications Multimedia Resources Bioethics 101 Resources Book Reviews Movie Reviews Employment, Fellowships Internships Topics Your global information source bioethics news, issues, events for: Twitter RSS Artificial Intelligence Biotech Clinical Medical Cloning Covid19 Culture Disability Ethics Disaster Ethics Education Emerging Technologies Employment Fellowships Internships End Life Eugenics Euthanasia Suicide Genetic Ethics Geriatric Aging Global Bioethics Healthcare Human Dignity Human Enhancement Informed Consent Journal Articles Medical Tourism Mental Health Multimedia Resources Nanotechnology Neuroethics Nursing Organ Donation Transplantation Pediatric Pharma Public Health Public Policy Reproductive Ethics Research Ethics Reviews Stem Cell Research Synthetic Biology Womens Health Google AI Researchers Departure Ignites New Conflict Over Ethics December 17, 2020 Bloomberg Google gotten management crisis. On Dec. 2, Timnit Gebru, artificial intelligence researcher best known showing facial recognition algorithms better identifying White people Black people, said shed fired. Gebrus boss described departure resignation, sides acknowledged conflict centered Googles discomfort research paper Gebru planned publish ethical issues related technology underpins companys key products. Posted Bioethics Pundit Posted Artificial Intelligence, Emerging Technologies, highlights, Human Dignity, News Recent News Trending 12172020Google AI Researchers Departure Ignites New Conflict Over Ethics 12172020How Effective Is Mask Youre Wearing? You May Know Soon 12172020Vaccine Rollout On Track, Expect 300M Doses Through March: Feds 12172020Vaccinations Reach Nursing Homes California Faces Crisis 12172020Two Twins, Different COVID19 Trajectories More News Principles Nuremberg Code Are Compatible Vaccination 96 views posted June 1, 2020 The Last Children Down Syndrome 73 views posted November 18, 2020 America Is Running Out Nurses 48 views posted December 15, 2020 Johnson Johnson Covid19 Vaccine Study Paused Due Unexplained Illness Participant 40 views posted October 13, 2020 Why havent cloned humans ethics 36 views posted July 8, 2020 Home About Advertising Twitter RSS A Project Of The Center Bioethics Human Dignity | 2,020 | [
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https://www.economist.com/technology-quarterly/2020/06/13/driverless-cars-show-the-limits-of-todays-ai | 2020-06-11T00:00:00 | en | Automobiles - Driverless cars show the limits of today’s AI | Technology Quarterly | The Economist | Automobiles - Driverless cars show the limits of today’s AI | Technology Quarterly | The EconomistThe Economist - HomepageSkip to contentTodayWeekly editionMenuSubscribeSearchLog inSectionsThe world this weekLeadersLettersBriefingUnited StatesThe AmericasAsiaChinaMiddle East & AfricaEuropeBritainInternationalBusinessFinance & economicsScience & technologyBooks & artsGraphic detailObituarySpecial reportsTechnology QuarterlyBy InvitationSchools briefBlogsBritish politicsBagehot’s notebookWork and managementBartleby’s notebookEuropean politicsCharlemagne’s notebookAmerican politicsDemocracy in AmericaReligionErasmusSportsGame theoryBusiness travelGulliverIdeas and commentaryOpen FutureBooks, arts and cultureProsperoExplaining the world, dailyThe Economist ExplainsMore from The Economist1843 MagazineThe World inPodcastsEconomist EventsEconomist FilmsEconomist Intelligence UnitManage my accountLog outSearchAutomobilesDriverless cars show the limits of today’s AIThey, and many other such systems, still struggle to handle the unexpectedTechnology QuarterlyJun 13th 2020 editionJun 13th 2020FacebookTwitterLinkedInWhatsAppIN MARCH Starsky Robotics, a self-driving lorry firm based in San Francisco, closed down. Stefan Seltz-Axmacher, its founder, gave several reasons for its failure. Investors’ interest was already cooling, owing to a run of poorly performing tech-sector IPOs and a recession in the trucking business. His firm’s focus on safety, he wrote, did not go down well with impatient funders, who preferred to see a steady stream of whizzy new features. But the biggest problem was that the technology was simply not up to the job. “Supervised machine learning doesn’t live up to the hype. It isn’t actual artificial intelligence akin to c-3PO [a humanoid robot from the “Star Wars” films]. It’s a sophisticated pattern-matching tool.”Policing social media, detecting fraud and defeating humans at ancient games are all very well. But building a vehicle that can drive itself on ordinary roads is—along with getting computers to conduct plausible conversations—one of the grand ambitions of modern AI. Some imagined driverless cars could do away with the need for car ownership by letting people summon robotaxis at will. They believe they would be safer, too. Computers never tire, and their attention never wanders. According to the WHO, over a million people a year die in car accidents caused by fallible human drivers. Advocates hoped to cut those numbers drastically.And they would do it soon. In 2015 Elon Musk, the boss of Tesla, an electric-car maker, predicted the arrival of “complete autonomy” by 2018. Cruise, a self-driving firm acquired by General Motors in 2016, had planned to launch self-driving taxis in San Francisco by 2019. Chris Urmson, then the boss of Waymo, a Google subsidiary widely seen as the market leader, said in 2015 that he hoped his son, then 11 years old, would never need a driving licence.But progress has lagged. In 2018 a self-driving car being tested by Uber, a ride-hailing service, became the first to kill a pedestrian when it hit a woman pushing a bicycle across a road in Arizona. Users of Tesla’s “Autopilot” software must, despite its name, keep their hands on the wheel and their eyes on the road (several who seem to have failed to do so have been killed in crashes). The few firms that carry passengers, such as Waymo in America and WeRide in China, are geographically limited and rely on human safety drivers. Mr Urmson, who has since left Waymo, now thinks that adoption will be slower and more gradual.Black swans and bitter lessonsSelf-driving cars work in the same way as other applications of machine learning. Computers crunch huge piles of data to extract general rules about how driving works. The more data, at least in theory, the better the systems perform. Tesla’s cars continuously beam data back to headquarters, where it is used to refine the software. On top of the millions of real-world miles logged by its cars, Waymo claims to have generated well over a billion miles-worth of data using ersatz driving in virtual environments.The problem, says Rodney Brooks, an Australian roboticist who has long been sceptical of grand self-driving promises, is deep-learning approaches are fundamentally statistical, linking inputs to outputs in ways specified by their training data. That leaves them unable to cope with what engineers call “edge cases”—unusual circumstances that are not common in those training data. Driving is full of such oddities. Some are dramatic: an escaped horse in the road, say, or a light aircraft making an emergency landing on a highway (as happened in Canada in April). Most are trivial, such as a man running out in a chicken suit. Human drivers usually deal with them without thinking. But machines struggle.One study, for instance, found that computer-vision systems were thrown when snow partly obscured lane markings. Another found that a handful of stickers could cause a car to misidentify a “stop” sign as one showing a speed limit of 45mph. Even unobscured objects can baffle computers when seen in unusual orientations: in one paper a motorbike was classified as a parachute or a bobsled. Fixing such issues has proved extremely difficult, says Mr Seltz-Axmacher. “A lot of people thought that filling in the last 10% would be harder than the first 90%”, he says. “But not that it would be ten thousand times harder.”Mary “Missy” Cummings, the director of Duke University’s Humans and Autonomy Laboratory, says that humans are better able to cope with such oddities because they can use “top-down” reasoning about the way the world works to guide them in situations where “bottom-up” signals from their senses are ambiguous or incomplete. AI systems mostly lack that capacity and are, in a sense, working with only half a brain. Though they are competent in their comfort zone, even trivial changes can be problematic. In the absence of the capacity to reason and generalise, computers are imprisoned by the same data that make them work in the first place. “These systems are fundamentally brittle,” says Dr Cummings.This narrow intelligence is visible in areas beyond just self-driving cars. Google’s “Translate” system usually does a decent job at translating between languages. But in 2018 researchers noticed that, when asked to translate 18 repetitions of the word “dog” into Yoruba (a language spoken in parts of Nigeria and Benin) and then back into English, it came up with the following: “Doomsday Clock is at three minutes to twelve. We are experiencing characters and dramatic developments in the world, which indicate that we are increasingly approaching the end times and Jesus’ return.”Gary Marcus, a professor of psychology at New York University, says that, besides its comedy value, the mistranslation highlights how Google’s system does not understand the basic structure of language. Concepts like verbs or nouns are alien, let alone the notion that nouns refer to physical objects in a real world. Instead, it has constructed statistical rules linking strings of letters in one language with strings of letters in another, without any understanding of the concepts to which those letters refer. Language processing, he says, is therefore still baffled by the sorts of questions a toddler would find trivial.How much those limitations matter varies from field to field. An automated system does not have to be better than a professional human translator to be useful, after all (Google’s system has since been tweaked). But it does set an upper bound on how useful chatbots or personal assistants are likely to become. And for safety-critical applications like self-driving cars, says Dr Cummings, AI’s limitations are potentially show-stopping.Researchers are beginning to ponder what to do about the problem. In a conference talk in December Yoshua Bengio, one of AI’s elder statesmen, devoted his keynote address to it. Current machine-learning systems, said Dr Bengio, “learn in a very narrow way, they need much more data to learn a new task than [humans], they need humans to provide high-level concepts through labels, and they still make really stupid mistakes”.Beyond deep learningDifferent researchers have different ideas about how to try to improve things. One idea is to widen the scope, rather than the volume, of what machines are taught. Christopher Manning, of Stanford University’s AI Lab, points out that biological brains learn from far richer data-sets than machines. Artificial language models are trained solely on large quantities of text or speech. But a baby, he says, can rely on sounds, tone of voice or tracking what its parents are looking at, as well as a rich physical environment to help it anchor abstract concepts in the real world. This shades into an old idea in AI research called “embodied cognition”, which holds that if minds are to understand the world properly, they need to be fully embodied in it, not confined to an abstracted existence as pulses of electricity in a data-centre.Biology offers other ideas, too. Dr Brooks argues that the current generation of AI researchers “fetishise” models that begin as blank slates, with no hand-crafted hints built in by their creators. But “all animals are born with structure in their brains,” he says. “That’s where you get instincts from.”Dr Marcus, for his part, thinks machine-learning techniques should be combined with older, “symbolic AI” approaches. These emphasise formal logic, hierarchical categories and top-down reasoning, and were most popular in the 1980s. Now, with machine-learning approaches in the ascendancy, they are a backwater.But others argue for persisting with existing approaches. Last year Richard Sutton, an AI researcher at the University of Alberta and DeepMind, published an essay called “The Bitter Lesson”, arguing that the history of AI shows that attempts to build human understanding into computers rarely work. Instead most of the field’s progress has come courtesy of Moore’s law, and the ability to bring ever more brute computational force to bear on a problem. The “bitter lesson” is that “the actual contents of [human] minds are tremendously, irredeemably complex…They are not what should be built in [to machines].”“This less ambitious stuff—I think that’s much more realistic”Away from the research labs, expectations around driverless cars are cooling. Some Chinese firms are experimenting with building digital guide rails into urban infrastructure, in an attempt to lighten the cognitive burden on the cars themselves. Incumbent carmakers, meanwhile, now prefer to talk about “driver-assistance” tools such as automatic lane-keeping or parking systems, rather than full-blown autonomous cars. A new wave of startups has deliberately smaller ambitions, hoping to build cars that drive around small, limited areas such as airports or retirement villages, or vehicles which trundle slowly along pavements, delivering packages under remote human supervision. “There’s a scientific reason we’re not going to get to full self-driving with our current technology,” says Dr Cummings. “This less ambitious stuff—I think that’s much more realistic.” ■Artificial intelligence and it's limits Steeper than expectedAn understanding of AI’s limitations is starting to sink inFor AI, data are harder to come by than you thinkBusinesses are finding AI hard to adoptThe potential and the pitfalls of medical AIThe cost of training machines is becoming a problemDriverless cars show the limits of today’s AIHumans will add to AI’s limitationsThis article appeared in the Technology Quarterly section of the print edition under the headline "Road block"Reuse this contentThe Trust ProjectThe best of our journalism, handpicked each daySign up to our free daily newsletter, The Economist todaySign up nowSubscribeGroup subscriptionsHelpKeep updatedFacebookInstagramTwitterLinkedInYouTubeRSSPublished since September 1843 to take part in “a severe contest between intelligence, which presses forward, and an unworthy, timid ignorance obstructing our progress.” Apps & mediaThe Economist appsEconomist FilmsPodcastsOther publications1843 MagazineThe World inThe World IfThe EconomistAboutAdvertisePress centreThe Economist GroupEconomist GroupThe Economist StoreCareersWhich MBA?GMAT TutorGRE TutorExecutive JobsExecutive Education NavigatorTerms of UsePrivacyCookie PolicyManage CookiesAccessibilityModern Slavery StatementDo Not Sell My Personal InformationCopyright © The Economist Newspaper Limited 2020. All rights reserved. | Automobiles | Automobiles Driverless cars limits todays AI Technology Quarterly The EconomistThe Economist HomeSkip contentTodayWeekly editionMenuLog inSectionsThe world weekLeadersLettersBriefingUnited StatesThe AmericasAsiaChinaMiddle East AfricaEuropeBritainInternationalBusinessFinance economicsScience technologyBooks artsGraphic detailObituarySpecial reportsTechnology QuarterlyBy InvitationSchools briefBlogsBritish politicsBagehots notebookWork managementBartlebys notebookEuropean politicsCharlemagnes notebookAmerican politicsDemocracy AmericaReligionErasmusSportsGame theoryBusiness travelGulliverIdeas commentaryOpen FutureBooks, arts cultureProsperoExplaining world, dailyThe Economist ExplainsMore The Economist1843 MagazineThe World inPodcastsEconomist EventsEconomist FilmsEconomist Intelligence UnitManage accountLog outAutomobilesDriverless cars limits todays AIThey, systems, struggle handle unexpectedTechnology QuarterlyJun 13th 2020editionJun 13th 2020FacebookTwitterLinkedInWhatsAppIN MARCH Starsky Robotics, selfdriving lorry firm based San Francisco, closed down. Stefan SeltzAxmacher, founder, gave reasons failure. Investors cooling, owing run poorly performing techsector IPOs recession trucking business. His firms focus safety, wrote, impatient funders, preferred steady stream whizzy new features. But biggest problem technology simply job. Supervised machine learning doesnt live hype. It isnt actual artificial intelligence akin c3PO [a humanoid robot Star Wars films]. Its sophisticated patternmatching tool.Policing social media, detecting fraud defeating humans ancient games well. But building vehicle drive ordinary roads isalong getting computers conduct plausible conversationsone grand ambitions modern AI. Some imagined driverless cars away need car ownership letting people summon robotaxis will. They believe safer, too. Computers tire, attention wanders. According WHO, million people year die car accidents caused fallible human drivers. Advocates hoped cut numbers drastically.And soon. In 2015 Elon Musk, boss Tesla, electriccar maker, predicted arrival complete autonomy 2018. Cruise, selfdriving firm acquired General Motors 2016, planned launch selfdriving taxis San Francisco 2019. Chris Urmson, boss Waymo, Google subsidiary widely seen market leader, said 2015 hoped son, 11 years old, need driving licence.But progress lagged. In 2018 selfdriving car tested Uber, ridehailing service, kill pedestrian hit woman pushing bicycle road Arizona. Users Teslas Autopilot software must, despite name, hands wheel eyes road failed killed crashes. The firms carry passengers, Waymo America WeRide China, geographically limited rely human safety drivers. Mr Urmson, left Waymo, thinks adoption slower gradual.Black swans bitter lessonsSelfdriving cars work way applications machine learning. Computers crunch huge piles data extract general rules driving works. The data, theory, better systems perform. Teslas cars continuously beam data headquarters, refine software. On millions realworld miles logged cars, Waymo claims generated billion milesworth data ersatz driving virtual environments.The problem, says Rodney Brooks, Australian roboticist long sceptical grand selfdriving promises, deeplearning approaches fundamentally statistical, linking inputs outputs ways specified training data. That leaves unable cope engineers edge casesunusual circumstances common training data. Driving oddities. Some dramatic: escaped horse road, say, light aircraft making emergency landing highway happened Canada April. Most trivial, man running chicken suit. Human drivers usually deal thinking. But machines struggle.One study, instance, computervision systems thrown snow partly obscured lane markings. Another handful stickers cause car misidentify stop sign showing speed limit 45mph. Even unobscured objects baffle computers seen unusual orientations: paper motorbike classified parachute bobsled. Fixing issues proved extremely difficult, says Mr SeltzAxmacher. A lot people thought filling 10 harder 90, says. But thousand times harder.Mary Missy Cummings, director Duke Universitys Humans Autonomy Laboratory, says humans better able cope oddities use topdown reasoning way world works guide situations bottomup signals senses ambiguous incomplete. AI systems lack capacity are, sense, working half brain. Though competent comfort zone, trivial changes problematic. In absence capacity reason generalise, computers imprisoned data work place. These systems fundamentally brittle, says Dr Cummings.This narrow intelligence visible areas selfdriving cars. Googles Translate usually decent job translating languages. But 2018 researchers noticed that, asked translate 18 repetitions word dog Yoruba language spoken parts Nigeria Benin English, came following: Doomsday Clock minutes twelve. We experiencing characters dramatic developments world, indicate increasingly approaching end times Jesus return.Gary Marcus, professor psychology New York University, says that, comedy value, mistranslation highlights Googles understand basic structure language. Concepts like verbs nouns alien, let notion nouns refer physical objects real world. Instead, constructed statistical rules linking strings letters language strings letters another, understanding concepts letters refer. Language processing, says, baffled sorts questions toddler trivial.How limitations matter varies field field. An automated better professional human translator useful, Googles tweaked. But set upper bound useful chatbots personal assistants likely become. And safetycritical applications like selfdriving cars, says Dr Cummings, AIs limitations potentially showstopping.Researchers beginning ponder problem. In conference talk December Yoshua Bengio, AIs elder statesmen, devoted keynote address it. Current machinelearning systems, said Dr Bengio, learn narrow way, need data learn new task [humans], need humans provide highlevel concepts labels, stupid mistakes.Beyond deep learningDifferent researchers different ideas try improve things. One idea widen scope, volume, machines taught. Christopher Manning, Stanford Universitys AI Lab, points biological brains learn far richer datasets machines. Artificial language models trained solely large quantities text speech. But baby, says, rely sounds, tone voice tracking parents looking at, rich physical environment help anchor abstract concepts real world. This shades old idea AI research called embodied cognition, holds minds understand world properly, need fully embodied it, confined abstracted existence pulses electricity datacentre.Biology offers ideas, too. Dr Brooks argues current generation AI researchers fetishise models begin blank slates, handcrafted hints built creators. But animals born structure brains, says. Thats instincts from.Dr Marcus, part, thinks machinelearning techniques combined older, symbolic AI approaches. These emphasise formal logic, hierarchical categories topdown reasoning, popular 1980s. Now, machinelearning approaches ascendancy, backwater.But argue persisting existing approaches. Last year Richard Sutton, AI researcher University Alberta DeepMind, published essay called The Bitter Lesson, arguing history AI shows attempts build human understanding computers rarely work. Instead fields progress come courtesy Moores law, ability bring brute computational force bear problem. The bitter lesson actual contents [human] minds tremendously, irredeemably complexThey built [to machines].This ambitious stuffI think thats realisticAway research labs, expectations driverless cars cooling. Some Chinese firms experimenting building digital guide rails urban infrastructure, attempt lighten cognitive burden cars themselves. umbent carmakers, meanwhile, prefer talk driverassistance tools automatic lanekeeping parking systems, fullblown autonomous cars. A new wave startups deliberately smaller ambitions, hoping build cars drive small, limited areas airports retirement villages, vehicles trundle slowly pavements, delivering packages remote human supervision. Theres scientific reason going selfdriving current technology, says Dr Cummings. This ambitious stuffI think thats realistic. Artificial intelligence limits Steeper expectedAn understanding AIs limitations starting sink inFor AI, data harder come thinkBusinesses finding AI hard adoptThe potential pitfalls medical AIThe cost training machines problemDriverless cars limits todays AIHumans add AIs limitationsThis article appeared Technology Quarterly section print edition headline Road blockReuse contentThe Trust ProjectThe best journalism, handpicked daySign free daily newsletter, The Economist todaySign nowGroup subscriptionsHelpKeep updatedFacebookInstagramTwitterLinkedInYouTubeRSSPublished September 1843 severe contest intelligence, presses forward, unworthy, timid ignorance obstructing progress. Apps mediaThe Economist appsEconomist FilmsPodcastsOther publications1843 MagazineThe World inThe World IfThe EconomistAboutAdvertisePress centreThe Economist GroupEconomist GroupThe Economist StoreCareersWhich MBA?GMAT TutorGRE TutorExecutive JobsExecutive Education NavigatorTerms UsePrivacy PolicyManage sAccessibilityModern Slavery StatementDo Not Sell My Personal Information The Economist Newspaper Limited 2020. . | 2,020 | [
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https://www.bccourier.com/artificial-intelligence-ai-in-manufacturing-market-industries-focus-on-development-of-new-products-to-up-sales/ | 2020-04-07T00:00:00 | en | Artificial Intelligence (AI) in Manufacturing Market – Industries Focus On Development Of New Products To Up Sales – Bandera County Courier |
Artificial Intelligence (AI) in Manufacturing Market – Industries Focus On Development Of New Products To Up Sales – Bandera County Courier
Tuesday, April 7 2020
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Home/Uncategorized/Artificial Intelligence (AI) in Manufacturing Market – Industries Focus On Development Of New Products To Up Sales
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Artificial Intelligence (AI) in Manufacturing Market – Industries Focus On Development Of New Products To Up Sales
hiren
April 7, 2020
The Artificial Intelligence (AI) in Manufacturing Market has been changing all over the world and we have been seeing a great growth In the Artificial Intelligence (AI) in Manufacturing Market and this growth is expected to be huge by 2025. The “Global Artificial Intelligence (AI) in Manufacturing Market Is Anticipated To Reach Around USD 18.5 Billion By 2025” report covers all of the aspects required to gain a complete understanding of the pre-market conditions, current conditions as well as a well-measured forecast. The growth of the market is driven by key factors such as manufacturing activity, risks of the market, acquisitions, new trends, assessment of the new technologies and their implementation.
Get Sample PDF Brochure@ https://www.zionmarketresearch.com/requestbrochure/artificial-intelligence-manufacturing-market
Our Free Complimentary Sample Report Accommodate a Brief Introduction of the research report, TOC, List of Tables and Figures, Competitive Landscape and Geographic Segmentation, Innovation and Future Developments Based on Research Methodology
Competition analysis
As the markets have been advancing the competition has increased by manifold and this has completely changed the way the competition is perceived and dealt with and in our report, we have discussed the complete analysis of the competition and how the big players in the Artificial Intelligence (AI) in Manufacturing Market have been adapting to new techniques and what are the problems that they are facing.
Our report which includes the detailed description of mergers and acquisitions will help you to get a complete idea of the market competition and also give you extensive knowledge on how to excel ahead and grow in the market.
Some of the Major Market Players Are:
Corporation, Google, Siemens, NVIDIA, General Vision, Darktrace, AIBrain, Oracle Corporation, Cisco Systems, Inc., General Electric Company
The global Artificial Intelligence (AI) in Manufacturing Market report presents the detailed extensive study regarding the market in an efficient way by dividing the whole market into different segments [Product, Applications, End-Users, and Major Regions] on the basis of type and form of product offered by the industries, product processing methods and techniques, end-user applications, and others. Not only this, but the market study also categorizes the market based on the regions [Latin America, North America, Asia Pacific, Middle & East Africa, and Europe]. The report also comprises the market growth forecast information calculated by the professional on the basis of previous information about the market and its-related industries as well as the current trends followed by the market. The report also provides the market’s CAGR forecast for the specific period of the upcoming time.
Download Free Sample Report@ https://www.zionmarketresearch.com/sample/artificial-intelligence-manufacturing-market
Promising Regions & Countries Mentioned In The Artificial Intelligence (AI) in Manufacturing Market Report:
North America ( United States)
Europe ( Germany, France, UK)
Asia-Pacific ( China, Japan, India)
Latin America ( Brazil)
The Middle East & Africa
Table of Content:
Artificial Intelligence (AI) in Manufacturing Market Overview
Company Profiles
Global Artificial Intelligence (AI) in Manufacturing Market Competition, by Players
Global Artificial Intelligence (AI) in Manufacturing Market Size by Regions
North America Infrared Anti-sniper Detection System Revenue by Countries
Europe Infrared Anti-sniper Detection System Revenue by Countries
Asia-Pacific Infrared Anti-sniper Detection System Revenue by Countries
South America Infrared Anti-sniper Detection System Revenue by Countries
The Middle East and Africa Revenue Infrared Anti-sniper Detection System by Countries
Global Artificial Intelligence (AI) in Manufacturing Market Segment by Type
Global Artificial Intelligence (AI) in Manufacturing Market Segment by Application
Global Artificial Intelligence (AI) in Manufacturing Market Size Forecast (2020-2025)
Research Findings and Conclusion
Appendix
Request Report TOC (Table of Contents) @ https://www.zionmarketresearch.com/toc/artificial-intelligence-manufacturing-market
Target Audience of Artificial Intelligence (AI) in Manufacturing Market:
– Manufacturer / Potential Investors
– Traders, Distributors, Wholesalers, Retailers, Importers and Exporters
– Association and government bodies
What Reports Provides
Full in-depth analysis of the parent market
Important changes in market dynamics
Segmentation details of the market
Former, on-going, and projected market analysis in terms of volume and value
Assessment of niche industry developments
Market share analysis
Key strategies of major players
Emerging segments and regional markets
Testimonials to companies in order to fortify their foothold in the market.
Thanks for reading this article; you can also get individual chapter wise section or region wise report version like North America, Europe or Asia.
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| Artificial Intelligence (AI) in Manufacturing Market | Artificial Intelligence AI Manufacturing Market Industries Focus On Development Of New Products To Up Sales Bandera County Courier Tuesday, April 7 2020 Trending Global Caffeine Conditioner Market 2020 Key Factors Emerging Opportunities Current Trends Analysis 2026 Special Extruded Graphite Market 2020 Depth Study Followed Top Companies: Toyo Tanso, Tokai Carbon, Mersen, IBIDEN, SGL, NTC, Entegris Global Aluminum Catalyst Market 2020 Key Factors Emerging Opportunities Current Trends Analysis 2026 Global Foam Peanuts Market 2020 Key Factors Emerging Opportunities Current Trends Analysis 2026 Global Utility Drones Market 2020 Key Factors Emerging Opportunities Current Trends Analysis 2026 Global Friction Materials Market 2020 Key Factors Emerging Opportunities Current Trends Analysis 2026 Global Graphite Laminate Market 2020 Key Factors Emerging Opportunities Current Trends Analysis 2026 Profitable Strategic Report Family Office Market Deep Analysis Leading Players HSBC Private Bank Hong Kong, London, Citi Private Bank New York, Northern Trust Chicago, Bessemer Trust New York Global Automotive Etailing Market 2020 Key Factors Emerging Opportunities Current Trends Analysis 2026 Business Process Automation BPA Market COVID19 UPDATED Insight, Outlook, Industry Analysis By Schneider Electric, Yokogawa, ABB, Rockwell Automation Bandera County Courier Business Health Science Technology World HomeUncategorizedArtificial Intelligence AI Manufacturing Market Industries Focus On Development Of New Products To Up Sales Uncategorized Artificial Intelligence AI Manufacturing Market Industries Focus On Development Of New Products To Up Sales hiren April 7, 2020 The Artificial Intelligence AI Manufacturing Market changing world seeing great growth In theArtificial Intelligence AI Manufacturing Marketand growth expected huge 2025.TheGlobal Artificial Intelligence AI Manufacturing Market Is Anticipated To Reach Around USD 18.5 Billion By 2025report covers aspects required gain complete understanding premarket conditions, current conditions wellmeasured forecast.The growth market driven key factors manufacturing activity, risks market, acquisitions, new trends, assessment new technologies implementation. Get Sample PDF Brochure@ Our Free Complimentary Sample Report Accommodate Brief Introduction research report, TOC, List Tables Figures, Competitive Landscape Geographic Segmentation, Innovation Future Developments Based Research Methodology Competition analysis As markets advancing competition increased manifold completely changed way competition perceived dealt report, discussed complete analysis competition big players Artificial Intelligence AI Manufacturing Market adapting new techniques problems facing. Our report includes detailed description mergers acquisitions help complete idea market competition extensive knowledge excel ahead grow market. Some Major Market Players Are: Corporation, Google, Siemens, NVIDIA, General Vision, Darktrace, AIBrain, Oracle Corporation, Cisco Systems, ., General Electric Company The global Artificial Intelligence AI Manufacturing Market report presents detailed extensive study market efficient way dividing market different segments [Product, Applications, EndUsers, Major Regions] basis type form product offered industries, product processing methods techniques, enduser applications, others. Not this, market study categorizes market based regions [Latin America, North America, Asia Pacific, Middle East Africa, Europe]. The report comprises market growth forecast information calculated professional basis previous information market itsrelated industries current trends followed market. The report provides markets CAGR forecast specific period upcoming time. Download Free Sample Report@ Promising Regions Countries Mentioned In The Artificial Intelligence AI Manufacturing Market Report: North America United States Europe Germany, France, UK AsiaPacific China, Japan, India Latin America Brazil The Middle East Africa Table Content: Artificial Intelligence AI Manufacturing Market Overview Company Profiles Global Artificial Intelligence AI Manufacturing Market Competition, Players Global Artificial Intelligence AI Manufacturing Market Size Regions North America Infrared Antisniper Detection System Revenue Countries Europe Infrared Antisniper Detection System Revenue Countries AsiaPacific Infrared Antisniper Detection System Revenue Countries South America Infrared Antisniper Detection System Revenue Countries TheMiddle East Africa Revenue Infrared Antisniper Detection System Countries Global Artificial Intelligence AI Manufacturing Market Segment Type Global Artificial Intelligence AI Manufacturing Market Segment Application Global Artificial Intelligence AI Manufacturing Market Size Forecast 20202025 Research Findings Conclusion Appendix Request Report TOC Table Contents @ Target Audience Artificial Intelligence AI Manufacturing Market: Manufacturer Potential Investors Traders, Distributors, Wholesalers, Retailers, Importers Exporters Association government bodies What Reports Provides Full indepth analysis parent market Important changes market dynamics Segmentation details market Former, ongoing, projected market analysis terms volume value Assessment niche industry developments Market share analysis Key strategies major players Emerging segments regional markets Testimonials companies order fortify foothold market. Thanks reading article; individual chapter wise section region wise report version like North America, Europe Asia. Facebook Twitter LinkedIn StumbleUpon Reddit Share Email Print hiren Related Articles March 4, 2020 1 Global Functional Flour Market Estimated Double Digit CAGR 2024 March 19, 2020 9 Global Agricultural Biotechnology Market To Witness Towering Growth And Surpass USD 67.01 Billion By 2025 March 26, 2020 8 Global Fracking Fluid Chemicals Market Size Share Outlook 2027 February 19, 2020 2 Global Industrial Air Compressor Market Target Reach 46.37 Billion By 2025 Recent Posts April 7, 2020 Socks Market Top Participant To Focus On Regional Expansion April 7, 2020 Biosimulation Market Big Players Focusing On Product Advancements For Business Expansion April 7, 2020 Medical Coding Market Players Attention On More Moderen Advertising Techniques To Pressure ome April 7, 2020 IoT Smart Cities Market Launch Of New Products Aimed At Millennials To Aid Growth April 7, 2020 Endodontic Devices Market Outlook Trends 20172024 April 7, 2020 Cell Viability Assays Market : Latest Innovations, Drivers Industry Key Events 2024 April 7, 2020 MicroLED Display Market Considered One Rapidly Growing market 2024 April 7, 2020 Cosmetic Dyes Market Global Industry Research, Supply, Consumption Prospects 2024 April 7, 2020 Electronics Contract Manufacturing Services Market generate new growth opportunities 2024 April 7, 2020 Plant Based Meat Market Share To Record Steady Growth By 2024 Facebook Twitter WhatsApp Telegram Close for: Close Log In Forget? 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https://www.prnewswire.com/news-releases/maslo-ai-launches-new-offering-in-empathetic-computing-301132104.html | 2020-09-16T00:00:00 | en | Maslo ai Launches New Offering in Empathetic Computing |
Maslo ai Launches New Offering in Empathetic Computing
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Maslo ai Launches New Offering in Empathetic Computing
Leading 'humans first' technology company debuts open-sourced tools, sparking the dawn of a new era of computing - bringing humans and computers closer
News provided by
Maslo ai
Sep 16, 2020, 09:00 ET
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LOS ANGELES, Sept. 16, 2020 /PRNewswire/ -- Maslo ai, the leader in the development of AI-driven empathetic computing, today announced the release of several new open platform options, including Companion Server and Companion Kit. The new open-sourced toolkits enable product developers to create solutions based on the analysis of data from various sources to encourage new and sustained behavior changes in their core audiences.
Maslo's B2B solutions are already in use with several companies in the online dating, health care, transportation and gaming sectors. "We're partnering with Maslo to track and support quality of life in people with bipolar disorder. The goal is to put quality of life assessments in their own hands and to support them to make evidence-informed and personalized adjustments to their lives to optimize wellbeing," said Dr. Erin Michalak, Director of the Collaborative Research Team to study psychosocial issues in Bipolar Disorder (CREST.BD).
Maslo's open source tools will give business and developers access to entirely new possibilities and the current offerings, include:
Companion Kit - businesses and researchers can easily release customized companion apps on iOS and Android, making it possible for any company to quickly deliver a Companion for their use case. The Companion Kit also includes an optional web dashboard for administrators to get deeper insights into the signals users are expressing.
Companion Server - developers can utilize powerful machine learning capabilities without the need for in-depth training. Companion Server does all model training, and packages it into a Docker image that you can deploy anytime, anywhere, on-prem, or in the cloud.
Companion Storymapr - experience designers are able to generate empathetic dialogue and reactions to communicate with end users towards sustainable behavior change creating more realistic conversations.
"There's no question that the global COVID-19 pandemic and its subsequent economic and social consequences has affected millions of people who suffer from depression. Our team is always looking for new treatment strategies and Maslo has created innovative new technologies to help our patients. With the use of Maslo's AI-led empathetic computing toolkits, we've been able to analyze each individual's behaviour in the real-world and their trajectory towards improvement. Maslo's technology for ecological assessment can help us to better understand what's happening in a patient's life, which is the basis for personalizing treatments to help people get well quickly and to stay well," says Dr. Raymond Lam, Co-Lead of the Clinical Platform for the Canadian Biomarker Integration Network in Depression (CAN-BIND).
"2020 has been an unprecedented year and the isolation for so many has thrown into sharp light our need for continued interaction," said Ross Ingram, Co-Founder and CEO, Maslo ai. "More people are using digital assistants in their daily lives for everyday tasks, even though we know AI is scary to some and there has been a great deal of distrust recently due to the mishaps with current popular brands. We want to demystify the process and let people see AI can be used for good and machines can encourage creativity and personal growth, if we set the stage properly. The goal is not to replicate humanity but to build intelligent systems that are optimized to complement humanity."
In addition to the company's new open toolkit options, Maslo is working on several research projects which involve grants totaling more than $40 million globally. Examples of use cases using Maslo include digital health companions (that address things from overall mental health to very specific scenarios like Bipolar or depression), COVID-19 research companion that allows the medical community to better understand the impact the pandemic has had on people's overall wellbeing, and a companion to help intervene for those with severe mental health issues that could lead to life threatening situations.
Through a recent academic research study with the University of British Columbia and via a grant funded by Mitacs, Maslo was able to ascertain a few certainties:
Emotions are key: People would be open to ascribing experience (emotion, relationship) to more anthropomorphic digital beings.
Humanizing technology: Further humanization of technology will be necessary to build a trusting relationship between humans and digital beings as mindful individuals.
Empathetic beings are desired: Maslo scored higher than current digital assistants on the market, including Siri and Alexa, pointing to a desire to have more empathetic beings in our lives.
"We are very excited about the future of empathetic computing and are proud to be leading the charge. From online dating to social works, behavioral health, and more, use cases involving empathetic computing are limitless. Empathetic computing solutions can help behavioral health patients learn to change behaviors and sustain a healthier life by offering personalized advice and feedback without bias. It can help a person find the right job for his/her personality while streamlining the hiring process. Businesses can use Maslo to achieve closer relationships with their customers and build cost efficiencies into their behind-the-scenes processes," says Ingram.
About Maslo ai:
Based in Los Angeles, CA, Maslo is a leader in developing open-sourced empathetic computing solutions to create AI experiences that help humanity. At Maslo, we're teaching our machines to synthesize human thought and emotional data using signal processing techniques across various data collection points. We work to apply empathetic computing solutions in various industries including gaming, transportation, education, HR, social services and healthcare, fostering connections between people and between humans and their technology for the betterment of both business and humanity. For additional information visit us at www.maslo.ai or on Twitter, Instagram or our blog.
Media Contacts: Kira PerdueIntersect CommunicationsC: 404-556-0062 E: [email protected]
or
Michelle Van JuraIntersect CommunicationsC: 310-420-4062E: [email protected]
SOURCE Maslo ai
Related Links http://www.maslo.ai
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Log In Resources Blog Journalists RSS GDPR General Inquiries Request Demo Editorial Bureaus Partnerships Media Inquiries Worldwide Offices Send Release Sign Up Log In Resources Blog Journalists RSS GDPR Maslo ai Launches New Offering Empathetic Computing Leading humans technology company debuts opensourced tools, sparking dawn new era computing bringing humans computers closer News provided Maslo ai Sep 16, 2020, 09:00 ET Share article LOS ANGELES, Sept. 16, 2020 PRNewswire Maslo ai, leader development AIdriven empathetic computing, today announced release new open platform options, including Companion Server Companion Kit. The new opensourced toolkits enable product developers create solutions based analysis data sources encourage new sustained behavior changes core audiences. Maslos B2B solutions use companies online dating, health care, transportation gaming sectors.Were partnering Maslo track support quality life people bipolar disorder. The goal quality life assessments hands support evidenceinformed personalized adjustments lives optimize wellbeing, said Dr. Erin Michalak, Director Collaborative Research Team study psychosocial issues Bipolar Disorder CREST.BD. Maslos open source tools business developers access entirely new possibilities current offerings, include: Companion Kit businesses researchers easily release customized companion apps iOS Android, making possible company quickly deliver Companion use case. The Companion Kit includes optional web dashboard administrators deeper insights signals users expressing. Companion Server developers utilize powerful machine learning capabilities need indepth training. Companion Server model training, packages Docker image deploy anytime, anywhere, onprem, cloud. Companion Storymapr experience designers able generate empathetic dialogue reactions communicate end users sustainable behavior change creating realistic conversations. Theres question global COVID19 pandemic subsequent economic social consequences affected millions people suffer depression. Our team looking new treatment strategies Maslo created innovative new technologies help patients. With use Maslos AIled empathetic computing toolkits, weve able analyze individuals behaviour realworld trajectory improvement. Maslos technology ecological assessment help better understand whats happening patients life, basis personalizing treatments help people quickly stay well, says Dr. Raymond Lam, CoLead Clinical Platform Canadian Biomarker Integration Network Depression CANBIND. 2020 unprecedented year isolation thrown sharp light need continued interaction, said Ross Ingram, CoFounder CEO, Maslo ai. More people digital assistants daily lives everyday tasks, know AI scary great deal distrust recently mishaps current popular brands. We want demystify process let people AI good machines encourage creativity personal growth, set stage properly. The goal replicate humanity build intelligent systems optimized complement humanity. In addition companys new open toolkit options, Maslo working research projects involve grants totaling 40 million globally. Examples use cases Maslo include digital health companions address things overall mental health specific scenarios like Bipolar depression, COVID19 research companion allows medical community better understand impact pandemic peoples overall wellbeing, companion help intervene severe mental health issues lead life threatening situations. Through recent academic research studywith University British Columbia grant funded Mitacs, Maslo able ascertain certainties: Emotions key: People open ascribing experience emotion, relationship anthropomorphic digital beings. Humanizing technology: Further humanization technology necessary build trusting relationship humans digital beings mindful individuals. Empathetic beings desired: Maslo scored higher current digital assistants market, including Siri Alexa, pointing desire empathetic beings lives. We excited future empathetic computing proud leading charge. From online dating social works, behavioral health, more, use cases involving empathetic computing limitless. Empathetic computing solutions help behavioral health patients learn change behaviors sustain healthier life offering personalized advice feedback bias. It help person right job hisher personality streamlining hiring process. Businesses use Maslo achieve closer relationships customers build cost efficiencies behindthescenes processes, says Ingram. About Maslo ai: Based Los Angeles, CA, Maslo leader developing opensourced empathetic computing solutions create AI experiences help humanity. At Maslo, teaching machines synthesize human thought emotional data signal processing techniques data collection points. We work apply empathetic computing solutions industries including gaming, transportation, education, HR, social services healthcare, fostering connections people humans technology betterment business humanity. For additional information visit Twitter, Instagram blog. Media s: Kira PerdueIntersect CommunicationsC: 4045560062 E: [emailprotected] Michelle Van JuraIntersect CommunicationsC: 3104204062E: [emailprotected] SOURCE Maslo ai Related Links Modal title PR Newswire 8887760942 8 AM 9 PM ET Chat Expert Us General Inquiries Request Demo Editorial Bureaus Partnerships Media Inquiries Worldwide Offices Products Cision Communication Cloud For Marketers For Public Relations For IR Compliance For Agency For Small Business All Products About About PR Newswire About Cision Become Publishing Partner Become Channel Partner Careers COVID19 Resources Global Sites Asia Brazil Canada Czech Denmark Finland France Germany India Israel Italy Mexico Middle East Netherlands Norway Poland Portugal Russia Slovakia Spain Sweden United Kingdom My Services All New Releases Online Member Center ProfNet Service Mark My Services All News Releases Online Member Center ProfNet 8887760942 8 AM 10 PM ET Terms Use Information Security Policy Site Map RSS Settings 2020 PR Newswire Association LLC. . 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https://www.techradar.com/news/google-recommendations-ai-tool-aims-to-boost-the-fortunes-of-online-retailers | 2020-07-23T00:00:00 | en | Google Recommendations AI tool aims to boost the fortunes of online retailers | TechRadar |
Google Recommendations AI tool aims to boost the fortunes of online retailers | TechRadar
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Home
News
Google Recommendations AI tool aims to boost the fortunes of online retailers
By
Rob Clymo
23 July 2020
Companies can now deliver highly personalized product recommendations in greater volumes
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(Image credit: Financial Express)
Google has launched a beta version of its Recommendations AI tool, which aims to help retailers offer much more personalized recommendations to their customers. Recommendations AI is one of several new services being offered by Google to allow retailers to provide a more comprehensive range of e-commerce products or services to their customers. The artificial intelligence aspect of the tool lets Recommendations AI produce results based on an individual’s search history and web browsing habits.Google has reported that trials carried out by early adopters of Recommendations AI produced improved sales thanks to the more individualized customer experience. Retailers can hone the service using a raft of recommendation models, pulling in data from other Google Cloud services, including Merchant Center, Google Tag Manager, Google Analytics 360 and BigQuery.Have a look at the best accounting softwareThe best tax software around todayCheck out the best money transfer apps and servicesA private beta was announced in April 2019 and Google has since fine-tuned the Recommendations AI tool to produce the public beta test mode model that was unveiled yesterday.Recommendations AIThe resulting recommendation models can be trained to produce more tailored results in just two to five days and be subsequently used to serve out the personalised experience to retail customers. Google says that the Recommendations AI models have the capability to support extensive catalogs of products that will run well into the millions.The initial announcement of Recommendations AI formed part of several Google Cloud applications that were showcased at Google’s Cloud Next conference 15 months ago. Other new tools announced back then included Document Understanding AI, Contact Center AI and additions to Google’s Cloud for Retail services, all of which make use of artificial intelligence to provide more enhanced experiences for retail customers.Google Recommendations AI is available now and features a trio of volume-based pricing tiers for predictions. There are additional charges for model training and fine-tuning of the tool. A free trial of the product is also available.We've also highlighted the best budgeting softwareVia: SiliconAngle
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| Google Recommendations AI tool aims to boost the fortunes of online retailers | Google Recommendations AI tool aims boost fortunes online retailers TechRadar Skip main content TechRadar pro IT insights business RSS Please deactivate ad blocker order subscription offer News Security Resources Web hosting VPN More TechRadar Best VPN Business VPN Best Web Hosting Resources Mobile Industry Best Cloud Storage TechRadar supported audience. When purchase links site, earn affiliate commission. Learn Home News Google Recommendations AI tool aims boost fortunes online retailers By Rob Clymo 23 July 2020 Companies deliver highly personalized product recommendations greater volumes Shares Image credit: Financial Express Google launched beta version Recommendations AI tool, aims help retailers offer personalized recommendations customers.Recommendations AI new services offered Google allow retailers provide comprehensive range ecommerce products services customers. The artificial intelligence aspect tool lets Recommendations AI produce results based individuals search history web browsing habits.Google reported trials carried early adopters Recommendations AI produced improved sales thanks individualized customer experience. Retailers hone service raft recommendation models, pulling data Google Cloud services, including Merchant Center, Google Tag Manager, Google Analytics 360 BigQuery.Have look best accounting softwareThe best tax software todayCheck best money transfer apps servicesA private beta announced April 2019 Google finetuned Recommendations AI tool produce public beta test mode model unveiled yesterday.Recommendations AIThe resulting recommendation models trained produce tailored results days subsequently serve personalised experience retail customers. Google says Recommendations AI models capability support extensive catalogs products run millions.The initial announcement Recommendations AI formed Google Cloud applications showcased Googles Cloud Next conference 15 months ago.Other new tools announced included Document Understanding AI, Center AI additions Googles Cloud Retail services, use artificial intelligence provide enhanced experiences retail customers.Google Recommendations AI available features trio volumebased pricing tiers predictions. There additional charges model training finetuning tool. A free trial product available.Weve highlighted best budgeting softwareVia: SiliconAngle See Software news Tech deals, prizes latest news Get best tech deals, reviews, product advice, competitions, unmissable tech news Thank signing TechRadar. You receive verification email shortly. There problem. Please refresh try again. No spam, promise. You unsubscribe time share details permission. Most Popular Most Shared 1 Leaked GoPro Hero 9 image shows DJI Osmo Actions best feature 2 How fix JoyCon drift Nintendo Switch 3 Huge changes coming Amazon shipping markets 4 Stranger Things season 4: release date, trailer, cast know 5 No, probably wont rip PC use Nvidia RTX 3080 Ti 1 OnePlus Nord camera specs, RAM, refresh rate colors confirmed 2 Nvidia RTX 3080 Ti require upgraders rip PC 3 Death Stranding PC hits 60fps 8K takes 2,500 Nvidia GPU 4 Microsoft develops Cloud PC service 5 No, probably wont rip PC use Nvidia RTX 3080 Ti TechRadar Future US , international media group leading digital publisher. Visit corporate site. Terms conditions Privacy policy policy Advertise Web notifications Future US, . 11 West 42nd Street, 15th Floor, New York, NY 10036. | 2,020 | [
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https://venturebeat.com/2020/01/14/amazon-taps-ai-to-discover-why-customers-buy-seemingly-irrelevant-products/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+venturebeat%2FSZYF+%28VentureBeat%29 | 2020-01-14T00:00:00 | en | Amazon taps AI to discover why customers buy seemingly irrelevant products | VentureBeat |
Amazon taps AI to discover why customers buy seemingly irrelevant products | VentureBeat
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AI
Amazon taps AI to discover why customers buy seemingly irrelevant products
Kyle Wiggers@Kyle_L_Wiggers January 14, 2020 7:40 AM
The logo of Amazon is seen at the company logistics center in Boves, France, September 18, 2019.Image Credit: Reuters / Pascal Rossignol
Why do customers buy products seemingly irrelevant to their web and voice assistant searches? That’s a good question — and one a team of Amazon researchers sought to answer in a study scheduled to be presented at the upcoming ACM Web Search and Data Mining conference in February. In the report, they say their analyses — which looked at purchases and “engagements,” the latter defined as interactions like sending search results to cell phones and adding products to shopping carts — suggests customers are partial to products that are broadly popular or cheaper than products relevant to a given search query. Additionally, they say people are much more likely to buy or engage with irrelevant products in a few categories — such as toys and digital products — than in categories like beauty products and groceries.
“Product search algorithms, like the ones that help customers place orders through [our Alexa assistant], aim at returning the products that are most relevant to users’ queries, where relevance is usually interpreted as ‘anything that satisfies the users’ need,’ wrote Laine Lewin-Eytan, senior manager of applied research in the Alexa Shopping group, in a blog post. “A common way to estimate customers’ satisfaction is to rely on the judgment of human annotators. (We annotate a very small fraction of 1% of interactions.)”
To this end, the researchers used statistical methods to identify customers who’ve issued either very short or unusually long queries, which they say tend to be more flexible in their purchasing decisions than those whose queries are of medium length. They also considered the relationships between relevant and irrelevant products, to the extent that two products have an indirect relationship if they are of the same type, brand, or category or if they tend to be purchased together.
Given two different measures of indirect relationship — one based on the meanings of descriptive terms and one based on purchase history — both correlated with increased likelihood of buying or engaging with seemingly irrelevant results, according to the researchers.
Above: Human annotators agreed Angus burgers were relevant to the voice request “Buy burgers,” while a stuffed-burger press was not. But customers who issued that request occasionally bought the burger press while never buying the burgers.Image Credit: Amazon
After performing the statistical analyses, a pair of experiments was conducted to assess the value of including irrelevant products in Amazon search results. First, the team identified 1,500 queries — each associated with one relevant and one irrelevant product — and then they considered the results of applying five different product selection strategies to all of them.
The first strategy — Optimal — always selected the product that led to the higher purchase level or engagement level, depending on which is being measured. (Here, the engagement or purchase level is the ratio of interactions that result in engagement or purchase actions to all the interactions in a data sample.) The Relevant strategy always returned the relevant product, while Irrelevant always returned the irrelevant product, Random arbitrarily selected between the two, and Worst always returned the product that led to the lower purchase or engagement level.
Perhaps unsurprisingly, the researchers report a “significant” gap between both the engagement and purchase levels achieved by selecting only relevant results and the optimal levels, which involve purchase and engagement with irrelevant results.
In a separate test, the team used the same 1,500 queries to train three different machine learning models: one taught to maximize relevance, the second to maximize purchase level, and the third to maximize engagement level. Then they built two fusion models — one that combined the relevance model and the engagement model and one that combined the relevance model and the purchase model — and compared their overall performance.
There was a trade-off between relevance and purchase or engagement level, the researchers report — improving performance on one criterion affected performance on the other. That’s likely because if the results don’t satisfy a customer’s needs but appear to be relevant, the customer might understand and possibly excuse it, and because purchase and engagement levels capture a more subjective type of relevance than human annotations can communicate.
“The models we used to assess the trade-off between relevance and purchase/engagement level were fairly crude,” wrote Lewin-Eytan. “A more complex machine learning model should be able to achieve better results, particularly if it is explicitly trained to consider some of the factors we identified previously, such as query length, price, and indirect relation. While still preliminary, our results provide new insights on how to design product search algorithms and suggest that both objective relevance and purchase/engagement factors should be considered in returning results to customers.”
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| Amazon taps AI to discover why customers buy seemingly irrelevant products | Amazon taps AI discover customers buy seemingly irrelevant products VentureBeat VentureBeat Home Channels GamesBeat AI ARVR Big Data Business Cloud Commerce Dev Enterprise Entrepreneur Esports Marketing Media Mobile PC Gaming Security Social Transportation Got news tip? Press Releases Webinars Advertise VB Lab Guest Posts Events Upcoming Sponsor Media Partner Got news tip? Press Releases Webinars Advertise VB Lab Guest Posts Newsletters Special Issue Icon Helpful Links Got news tip? 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In report, analyses looked purchases engagements, defined interactions like sending search results cell phones adding products shopping carts suggests customers partial products broadly popular cheaper products relevant given search query. Additionally, people likely buy engage irrelevant products categories toys digital products categories like beauty products groceries. Product search algorithms, like ones help customers place orders [our Alexa assistant], aim returning products relevant users queries, relevance usually interpreted satisfies users need, wrote Laine LewinEytan, senior manager applied research Alexa Shopping group, blog post. A common way estimate customers satisfaction rely judgment human annotators. We annotate small fraction 1 interactions. To end, researchers statistical methods identify customers whove issued short unusually long queries, tend flexible purchasing decisions queries medium length. They considered relationships relevant irrelevant products, extent products indirect relationship type, brand, category tend purchased together. Given different measures indirect relationship based meanings descriptive terms based purchase history correlated increased likelihood buying engaging seemingly irrelevant results, according researchers. Above: Human annotators agreed Angus burgers relevant voice request Buy burgers, stuffedburger press not. But customers issued request occasionally bought burger press buying burgers.Image Credit: Amazon After performing statistical analyses, pair experiments conducted assess value including irrelevant products Amazon search results. First, team identified 1,500 queries associated relevant irrelevant product considered results applying different product selection strategies them. The strategy Optimal selected product led higher purchase level engagement level, depending measured. Here, engagement purchase level ratio interactions result engagement purchase actions interactions data sample. The Relevant strategy returned relevant product, Irrelevant returned irrelevant product, Random arbitrarily selected two, Worst returned product led lower purchase engagement level. Perhaps unsurprisingly, researchers report significant gap engagement purchase levels achieved selecting relevant results optimal levels, involve purchase engagement irrelevant results. In separate test, team 1,500 queries train different machine learning models: taught maximize relevance, second maximize purchase level, maximize engagement level. Then built fusion models combined relevance model engagement model combined relevance model purchase model compared overall performance. There tradeoff relevance purchase engagement level, researchers report improving performance criterion affected performance other. Thats likely results dont satisfy customers needs appear relevant, customer understand possibly excuse it, purchase engagement levels capture subjective type relevance human annotations communicate. The models assess tradeoff relevance purchaseengagement level fairly crude, wrote LewinEytan. A complex machine learning model able achieve better results, particularly explicitly trained consider factors identified previously, query length, price, indirect relation. While preliminary, results provide new insights design product search algorithms suggest objective relevance purchaseengagement factors considered returning results customers. Most Read Apples 2020 5G iPhone plans sound like Samsungs 2019 Galaxy lineup Googles AI predicts local precipitation patterns instantaneously Facebook releases lowlatency online speech recognition framework Nao Technologies raises 15.5 million bring autonomous farming robots U.S. Brazil emerging worldclass AI innovation hub UPCOMING EVENTS GamesBeat Summit Apr. 2829 The industrys intimate gaming event senior industry executives, developers investors. VB Transform Jul. 1516 The AI event year enterprise executives, brought todays leading AI publisher. | 2,020 | [
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https://www.huffingtonpost.ca/entry/manitoba-principal-shooting-drug-dealers_ca_5e975e5ac5b65eae709e4aa2 | 2020-04-16T00:00:00 | en | Manitoba Principal Claude Francis Guimond Sentenced For Vigilante Killing | HuffPost Canada |
Manitoba Principal Claude Francis Guimond Sentenced For Vigilante Killing | HuffPost Canada
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NEWS
04/15/2020 21:42 EDT
Manitoba Principal Claude Francis Guimond Sentenced For Vigilante Killing
Guimond shot two drug dealers after getting frustrated with the lack of police action.
Kelly Geraldine Malone
The Canadian Press
Bayne Stanley/The Canadian Press ImagesRCMP found two men fatally shot in February 2017 about 120 kilometres from Winnipeg.\\WINNIPEG — A former Manitoba principal has been sentenced to life in prison for the vigilante killings of two drug dealers.
Claude Francis Guimond pleaded guilty in March to second-degree murder in the shooting deaths of Jody Brown, 43, and Steven Chevrefils, 35.Justice Brenda Keyser, after a joint recommendation from the defence and prosecution, said in sentencing Guimond earlier this month that the former principal for the Sagkeeng First Nation will have no chance of parole for 14 years. RCMP were called to a home in St-Georges, about 120 kilometres northeast of Winnipeg, in February 2017 and found both men had been fatally shot.Court heard the two men and a few others were in the home, which had a grow-op in the basement, were having drinks and doing drugs. A man with his face painted black came in and went to the basement to confront Brown and Chevrefils.He was distressed as two of his daughters were addicted to drugs and he felt that the RCMP had not done anything to curb the action of drug dealers in the area.Justice Brenda KeyserA witness testified she heard loud bangs coming from the basement before she was struck in the head by a bullet that had ricocheted. Court heard Brown was found lying dead at the bottom of the stairs. Chevrefils had been left dead on the kitchen floor after a brief struggle with the assailant.Guimond was initially interviewed as a potential witness but denied having prior contact with the two men. However, investigators linked DNA found at the crime scene to Guimond.Later, while in custody, he admitted to family over a phone which had been wiretapped by police that he had been at the house that night.The former principal acknowledged in court that he was extremely drunk when he went to the home. He said his goal was to confront and scare Brown and Chevrefils over their drug dealing.“He was distressed as two of his daughters were addicted to drugs and he felt that the RCMP had not done anything to curb the action of drug dealers in the area,” Keyser wrote in her judgment delivered April 2.
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Court heard how Guimond went to a residential day school and his parents and grandparents were residential school survivors.“Despite the effects of colonialism on his family and community, he was long considered a role model in the community,” the judge wrote.Guimond served three years in the military and worked in education for 24 years, both as a teacher and then as a principal, until early 2017, when he went on leave to care for his terminally ill wife. She died a few months before his arrest in 2018.While Guimond expressed remorse for what he did, the judge said he had devastated everyone involved.“The consequences of his actions that fateful night are devastating for his family as well as for the families of Brown and Chevrefils.”This report by The Canadian Press was first published April 15, 2020.Also on HuffPost:
Suggest a correction
Kelly Geraldine Malone
The Canadian Press
MORE: crime Manitoba RCMP Steven Chevrefils Jody Brown Claude Francis Guimond
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| Manitoba Principal Claude Francis Guimond Sentenced For Vigilante Killing | Manitoba Principal Claude Francis Guimond Sentenced For Vigilante Killing HuffPost Canada Australia Brasil Canada Espaa France Greece India Italia Japan Korea Qubec en franais United Kingdom United States Canada Edition CLOSE News Latest News Housing Good News Explainers World Meanwhile Canada Alberta British Columbia CORONAVIRUS Politics Justin Trudeau Andrew Scheer Jagmeet Singh Elizabeth May Ontario Politics Doug Ford US Politics FollowUp Podcast Business Real Estate Work Recalls Basic ome Precariously Taxed Unfriendly Skies Money Hacks Life Lifestyle News Health Relationships HowTo Identity Style Food Drink Home Born Raised Navigating Royals Gift Guides This Could Help Travel Parents News You Can Use SelfCare HowTo Real Talk Life After Birth Dad Life Parents Voices Royal Kids Perspectives Personal Opinion How To Pitch To HuffPost Hometown Voices Video Podcasts FollowUp Born Raised News For Google HomeAlexa Follow Terms Part HuffPost News News CORONAVIRUS Politics Business Life Parents Perspectives Video Australia Brasil Canada Espaa France Greece India Italia Japan Korea Qubec en franais United Kingdom United States Canada Edition CLOSE News CORONAVIRUS Politics Business Life Parents Perspectives Video NEWS 04152020 21:42 EDT Manitoba Principal Claude Francis Guimond Sentenced For Vigilante Killing Guimond shot drug dealers getting frustrated lack police action. Kelly Geraldine Malone The Canadian Press Bayne StanleyThe Canadian Press ImagesRCMP men fatally shot February 2017 120 kilometres Winnipeg.\\WINNIPEG A Manitoba principal sentenced life prison vigilante killings drug dealers. Claude Francis Guimond pleaded guilty March seconddegree murder shooting deaths Jody Brown, 43, Steven Chevrefils, 35.Justice Brenda Keyser, joint recommendation defence prosecution,said sentencing Guimond earlier month principal Sagkeeng First Nation chance parole 14 years.RCMP called home StGeorges, 120 kilometres northeast Winnipeg,in February 2017 men fatally shot.Court heard men home, growop basement, drinks drugs. A man face painted black came went basement confront Brown Chevrefils.He distressed daughters addicted drugs felt RCMP curb action drug dealers area.Justice Brenda KeyserA witness testified heard loud bangs coming basement struck head bullet ricocheted. Court heard Brown lying dead stairs. Chevrefils left dead kitchen floor brief struggle assailant.Guimond initially interviewed potential witness denied prior contact men. However, investigators linked DNA crime scene Guimond.Later, custody, admitted family phone wiretapped police house night.The principal acknowledged court extremely drunk went home. He said goal confront scare Brown Chevrefils drug dealing.He distressed daughters addicted drugs felt RCMP curb action drug dealers area, Keyser wrote judgment delivered April 2. RELATED 2 Dead, luding 16YearOld, In 2 Separate Winnipeg Police Shootings Alberta Mom Pleads Guilty To Killing Husband; Son Helped Hide Body Gun Sales Spike In Canada Amid Fears Of COVID19, New Restrictions Court heard Guimond went residential day school parents grandparents residential school survivors.Despite effects colonialism family community, long considered role model community, judge wrote.Guimond served years military worked education 24 years, teacher principal, early 2017, went leave care terminally ill wife. She died months arrest 2018.While Guimond expressed remorse did, judge said devastated involved.The consequences actions fateful night devastating family families Brown Chevrefils.This report The Canadian Press published April 15, 2020.Also HuffPost: Suggest correction Kelly Geraldine Malone The Canadian Press MORE: crime Manitoba RCMP Steven Chevrefils Jody Brown Claude Francis Guimond Trending May Slams Scheers Partisan Push For InPerson House Sittings Amid Pandemic Heres How To Know When Canada Is Ready To Lift COVID19 Restrictions CERB Eligibility Loosened To Cover More HardHit Workers Amid Pandemic Amy Schumer Changes Sons Name To Spare Him A Lifetime Of Jokes Trump Suggests Easing Travel Restrictions At CanadaU.S. Border Canadas Headed Into WorstEver Economic Slump, Bank Of Canada Says SUBSCRIBE AND FOLLOW NEWS Get stories emailed day. Newsletters offer personalized content advertisements. Newsletter Please enter valid email address Thank signing You receive email confirm subscription shortly. There problem processing signup; try later Twitter Facebook Instagram Flipboard Videos Baking Substitutions For Flour, Eggs, Sugar And More During The Coronavirus Pandemic Vancouver Nurses Reflect On How Coronavirus Pandemic Has Transformed ERs How To Wash Homemade Cloth Face Masks Take Care Of Your Mental Health With These Simple Tips And Tricks Tips For Managing Anxiety During The COVID19 Pandemic SUBSCRIBE TO THE NEWS NEWSLETTER Please enter valid email address Thank signing You receive email confirm subscription shortly. There problem processing signup; try later News CORONAVIRUS Politics Business Life Parents Perspectives Video Advertise FAQ User Agreement Updated Privacy Updated Comment Policy About Our Ads Privacy Dashboard 2020 , . The Huffington Post registered trademark , . . Part HuffPost News Using mobile device? Go HuffPost Mobile. | 2,020 | [
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https://www.pr.com/press-release/826328 | 2020-12-16T00:00:00 | en | Automated Driving AI Tech Manufacturer oToBrite implements Ares ciMes to Build Automotive Smart Factory - PR.com |
Automated Driving AI Tech Manufacturer oToBrite implements Ares ciMes to Build Automotive Smart Factory - PR.com
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Automated Driving AI Tech Manufacturer oToBrite implements Ares ciMes to Build Automotive Smart Factory
Taipei, Taiwan, December 02, 2020 --(PR.com)-- Ares International Corp. recently signed an agreement with oToBrite Electronics, Inc. This automated driving artificial intelligence (AI) tech manufacturer would like to utilize the principles of lean management to build its smart automotive factory, which achieves the smart manufacturing by implementing Computer Integrated Manufacturing Execution System (ciMes).Accompanied by trends of 5G and AI technologies, smart manufacturing has become a common goal to take the lead in the industry, and MES plays a critical role to integrate information of shop floor management. oToBrite, a vendor endeavoring to develop image recognition system for autonomous driving, stated that by implementing ciMes, it can utilize higher-level production process with its leading technology and lean management to build the smart automotive factory as well as launching the image recognition system ahead of the market.Frank Lin, President of Ares, mentioned that the products of the automotive industry always require many test and validation processes; plus, due to its market characteristics, small-volume, large-variety production and mass customization, it has been the key for winning orders by precisely controlling delivery dates and quality. Ares ciMes can plan appropriate goals and execution methods through viewing the need and bottleneck of factories to help automotive, vehicle logistics, and automotive part industries maximize its production capacity to make shop floor operations more efficient. All these move enterprises forward with innovative mindsets on smart manufacturing.Product director of Ares ciMes, Jacky Tseng, explained that there are some essentials for implementation of smart production in automotive-related industries. For starters, it is a must to build the digital platform of lean management to enhance efficiency by digitalizing each operation in factories. More, with real-time management and status of work in progress (WIP), traceability of productions and materials, quality management can meet the high-level standard of the automotive industry. Last, armed with critical equipment auto-integration, it is possible to further consider the evaluation, planning and execution of complete factory automation.Ares has rich and comprehensive experiences in implementation of ciMes in vehicle logistics industry (bicycles, electric scooters, automobiles, railway vehicles) and automotive part industry (automotive metal parts, electric parts, plastic parts), being able to assist enterprises to increase income and reduce expenditure to meet opportunities of smart manufacturing ahead.oToBrite Electronics, Inc., established in 2013, is a start-up dedicated to developing driver safety system products. With integration of system and AI technologies, oToBrite strives to make driving a simpler and safer experience. oToBrite’s products have been adopted by several international auto companies and had solid relationships with XPeng and Yulon Motor Group. With advanced technologies, high-quality, high-reliability and value-added products and operation models, oToBrite keeps striding forward to become the world-leading brand of vehicle image recognition systems.
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Ares International Corp.Carrie Yu886-2-2522-1351Contactwww.ares.com.tw/en
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| Automated Driving AI Tech Manufacturer oToBrite implements Ares ciMes to Build Automotive Smart Factory | Automated Driving AI Tech Manufacturer oToBrite implements Ares ciMes Build Automotive Smart Factory Post Profile Your Business Submit Press Release Join Now Businesses Articles Press Releases Business Directory Products Services Jobs Recent Press Releases Press Release Pricing Submit Press Release Businesses Products Services Products Services Press Releases Jobs Press Release Pricing News Category News Country News US Region Recent News News Your Site Press Releases Ares International Corp. Press Release Receive press releases Ares International Corp.: By Email RSS Feeds: Automated Driving AI Tech Manufacturer oToBrite implements Ares ciMes Build Automotive Smart Factory Taipei, Taiwan, December 02, 2020 Ares International Corp. recently signed agreement oToBrite Electronics, . This automated driving artificial intelligence AI tech manufacturer like utilize principles lean management build smart automotive factory, achieves smart manufacturing implementing Computer Integrated Manufacturing Execution System ciMes.Accompanied trends 5G AI technologies, smart manufacturing common goal lead industry, MES plays critical role integrate information shop floor management. oToBrite, vendor endeavoring develop image recognition autonomous driving, stated implementing ciMes, utilize higherlevel production process leading technology lean management build smart automotive factory launching image recognition ahead market.Frank Lin, President Ares, mentioned products automotive industry require test validation processes; plus, market characteristics, smallvolume, largevariety production mass customization, key winning orders precisely controlling delivery dates quality. Ares ciMes plan appropriate goals execution methods viewing need bottleneck factories help automotive, vehicle logistics, automotive industries maximize production capacity shop floor operations efficient. All enterprises forward innovative mindsets smart manufacturing.Product director Ares ciMes, Jacky Tseng, explained essentials implementation smart production automotiverelated industries. For starters, build digital platform lean management enhance efficiency digitalizing operation factories. More, realtime management status work progress WIP, traceability productions materials, quality management meet highlevel standard automotive industry. Last, armed critical equipment autointegration, possible consider evaluation, planning execution complete factory automation.Ares rich comprehensive experiences implementation ciMes vehicle logistics industry bicycles, electric scooters, automobiles, railway vehicles automotive industry automotive metal parts, electric parts, plastic parts, able assist enterprises increase income reduce expenditure meet opportunities smart manufacturing ahead.oToBrite Electronics, ., established 2013, startup dedicated developing driver safety products. With integration AI technologies, oToBrite strives driving simpler safer experience. oToBrites products adopted international auto companies solid relationships XPeng Yulon Motor Group. With advanced technologies, highquality, highreliability valueadded products operation models, oToBrite keeps striding forward worldleading brand vehicle image recognition systems. Information Ares International Corp.Carrie Yu886225221351 Click view list recent Press Releases Ares International Corp. Promote Your Business Press Release Pricing Email friend Us Terms Use Help | 2,020 | [
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https://www.prnewswire.com/news-releases/gravityai-unveils-enterprise-data-science-marketplace-for-fintech-and-healthcare-301195280.html | 2020-12-17T00:00:00 | en | GravityAI Unveils Enterprise Data Science Marketplace for Fintech and Healthcare |
GravityAI Unveils Enterprise Data Science Marketplace for Fintech and Healthcare
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GravityAI Unveils Enterprise Data Science Marketplace for Fintech and Healthcare
Former BCG product manager launches no-coding-required platform for easily deploying AI solutions
News provided by
GravityAI
Dec 17, 2020, 10:15 ET
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SAN DIEGO, Dec. 17, 2020 /PRNewswire/ -- GravityAI, a startup that provides a simple, secure platform for companies to easily integrate data science solutions into their operations, unveils its Enterprise Marketplace, a B2B platform that allows fintech and healthcare firms to access an array of compatible artificial intelligence (AI) products. Founder & CEO Daniel Huss said the company, founded in 2018, is excited to launch this new offering after a year of development and is pleased to be working with clients from fintech and large life science to media, entertainment and ecommerce.
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GravityAI
"Our Enterprise Marketplace is a perfect solution for companies to host their own secure AI platform that allows all of their internal users to seamlessly collaborate," Huss said. "Our technology wraps each algorithm or data science solution in a 'container' that makes it easy for a user to essentially download it like an app, virtually code-free."
GravityAI was founded on the premise that there is a shortage of data scientists, given the demand for automation in various business areas. Because GravityAI contracts with both developers and end users on its marketplace, data science companies can avoid long procurement times that can stall traditional partnerships. And, with the Enterprise Marketplace, companies can now host their algorithms in the cloud or on-premises to comply with security protocols.
Data science solutions that GravityAI hosts include OCR algorithms, package delivery detectors, event and fraud detection, text extraction from documents, delivery route optimization and more. The startup runs security checks on the data science solutions for accuracy and to ensure there is no malicious code. Institutions can browse the platform to see which algorithms fit their current needs and use credits to trade for other solutions as needed.Huss said the marketplace currently hosts approximately 45 data science solutions and is growing monthly. GravityAI's marketplace is open to any companies looking to automate and digitize their processes through data science. He co-founded the company with his brother, Jon Huss, who also serves as chief technology officer.About GravityAIFounded in 2018 by Daniel Huss, GravityAI is a B2B marketplace that makes it easy to explore, test, procure and integrate AI solutions. Data scientists can upload models onto the GravityAI platform and have them seamlessly containerized and made available to other organizations. GravityAI is connected to the world's best data scientists and data engineers and works with clients to define the right approach, tap into its deep network and facilitate the build of algorithms for business with a practical data science mindset. For more information visit blog.gravity-ai.com/aboutenterprise.GravityAI Daniel Huss 619.337.5928 [email protected]SOURCE GravityAI
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In Resources Blog Journalists RSS GDPR General Inquiries Request Demo Editorial Bureaus Partnerships Media Inquiries Worldwide Offices Send Release Sign Up Log In Resources Blog Journalists RSS GDPR GravityAI Unveils Enterprise Data Science Marketplace Fintech Healthcare Former BCG product manager launches nocodingrequired platform easily deploying AI solutions News provided GravityAI Dec 17, 2020, 10:15 ET Share article SAN DIEGO, Dec. 17, 2020 PRNewswire GravityAI, startup provides simple, secure platform companies easily integrate data science solutions operations, unveils Enterprise Marketplace, B2B platform allows fintech healthcare firms access array compatible artificial intelligence AI products. Founder CEO Daniel Huss said company, founded 2018, excited launch new offering year development pleased working clients fintech large life science media, entertainment ecommerce. Continue Reading GravityAI Our Enterprise Marketplace perfect solution companies host secure AI platform allows internal users seamlessly collaborate, Huss said. Our technology wraps algorithm data science solution container makes easy user essentially download like app, virtually codefree. GravityAI founded premise shortage data scientists, given demand automation business areas. Because GravityAI contracts developers end users marketplace, data science companies avoid long procurement times stall traditional partnerships. And, Enterprise Marketplace, companies host algorithms cloud onpremises comply security protocols. Data science solutions GravityAI hosts include OCR algorithms, package delivery detectors, event fraud detection, text extraction documents, delivery route optimization more. The startup runs security checks data science solutions accuracy ensure malicious code. Institutions browse platform algorithms fit current needs use credits trade solutions needed.Huss said marketplace currently hosts approximately 45 data science solutions growing monthly. GravityAIs marketplace open companies looking automate digitize processes data science. He cofounded company brother, Jon Huss, serves chief technology officer.About GravityAIFounded 2018 Daniel Huss, GravityAI B2B marketplace makes easy explore, test, procure integrate AI solutions. Data scientists upload models GravityAI platform seamlessly containerized available organizations. GravityAI connected worlds best data scientists data engineers works clients define right approach, tap deep network facilitate build algorithms business practical data science mindset. For information visit blog.gravityaboutenterprise.GravityAI Daniel Huss 619.337.5928 [emailprotected]SOURCE GravityAI Modal title Cision Cision Distribution 8887760942 8 AM 9 PM ET Chat Expert Us General Inquiries Request Demo Editorial Bureaus Partnerships Media Inquiries Worldwide Offices Products Cision Communication Cloud For Marketers For Public Relations For IR Compliance For Agency For Small Business All Products About About PR Newswire About Cision Become Publishing Partner Become Channel Partner Careers COVID19 Resources Accessibility Statement Global Sites Asia Brazil Canada Czech Denmark Finland France Germany India Israel Italy Mexico Middle East Netherlands Norway Poland Portugal Russia Slovakia Spain Sweden United Kingdom My Services All New Releases Online Member Center ProfNet Service Mark Cision Products About My Services All News Releases Online Member Center ProfNet Cision Distribution Helpline 8887760942 Terms Use Information Security Policy Site Map RSS Settings 2020Cision Ltd. | 2,020 | [
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] | 1 | POSITIVE | 72 |
https://technoweekly.com/news/416241/big-market-research-analyzes-impact-of-covid-19-on-machine-learning-in-medical-imaging-market-stakeholders-to-focus-on-long-term-dimensions/ | 2020-10-22T00:00:00 | en | Big Market Research Analyzes Impact of COVID-19 on Machine Learning in Medical Imaging Market; Stakeholders to Focus on Long-term Dimensions – TechnoWeekly |
Big Market Research Analyzes Impact of COVID-19 on Machine Learning in Medical Imaging Market; Stakeholders to Focus on Long-term Dimensions – TechnoWeekly
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Thursday, October 22, 2020
News
Big Market Research Analyzes Impact of COVID-19 on Machine Learning in Medical Imaging Market; Stakeholders to Focus on Long-term Dimensions
Big Market Research October 22, 2020
Big Market Research has added a latest report to its offerings on the global Machine Learning in Medical Imaging market. The report puts forth the impact of the COVID-19 pandemic on the growth of the global market.
The research report claims that the global Machine Learning in Medical Imaging market is anticipated to experience substantial growth throughout the forecast period from 2014-2024.
This report offers in-depth insights of the advances and the recent trends in the Machine Learning in Medical Imaging market amid the COVID-19 pandemic. Besides, the report discloses various factors that are expected to impact several aspects of the global market during the course of the forecast period. The report comprises of detailed insights on key drivers, challenges, restrains, recent trends, opportunities, regional market conditions, prominent companies, latest developments, SWOT analysis,initiatives by major market players to tackle the COVID-19 pandemic impact, and many more. Furthermore, the report provides a Porter Five Forces analysis that evince the condition of the market and the strength of the existing players operating in the global market in terms of growth and future scope.
Request for a sample copy of this report @ https://www.bigmarketresearch.com/request-sample/3773573?utm_source=SHASHI&utm_medium=TW
Furthermore, the major segments cited in the report are product type, application, end user, and region.
By product type, the market is segmented into:
Supervised Learning
Unsupervised Learning
Semi Supervised Learning
Reinforced Leaning
By Applications type, the market is segmented into:
Breast
Lung
Neurology
Cardiovascular
Liver
Others
By region, the market is evaluated across: North America, Europe, Asia Pacific, Middle East & Africa, Latin America
The market players profiled in the report include Zebra, Arterys, Aidoc, MaxQ AI, Google, Tencent, Alibaba The research report offers detailed insights on the global key players, operating in the Machine Learning in Medical Imaging market. The information related to each industry player includes business strategies, company profile, mergers & acquisitions, ground-breaking developments, and many more.
This research report is an updated source of information that provides answers to all the questions asked by shareholders of the industry, such as end-users, investors, manufacturers, and partners. The study offers guidance for individuals and companies concerned in investing in the Machine Learning in Medical Imaging market. All the insights and data alluded in the report is derived using proven research methodologies. In addition, we at BMR strive to deliver customized report to accomplish on-demand and special requirements of our clients.
We guarantee quality & consistent research outcomes for our customers. For additional details or report customizations, contact our team of analysts that helps you break down the complex market scenario. Connect with us at [email protected] or call on toll free: +1-800-910-6452.
Avail the Discount on this Report @ https://www.bigmarketresearch.com/request-for-discount/3773573?utm_source=SHASHI&utm_medium=TW
The major restraints hampering the growth of the global Machine Learning in Medical Imaging market include:
North America, Europe, Asia Pacific, Middle East & Africa, Latin America market size (sales, revenue and growth rate) of Machine Learning in Medical Imaging industry.
Global major manufacturers’ operating situation (sales, revenue, growth rate and gross margin) of Machine Learning in Medical Imaging industry.
Global major countries (United States, Canada, Germany, France, UK, Italy, Russia, Spain, Netherlands, Switzerland, Belgium, China, Japan, Korea, India, Australia, Indonesia, Thailand, Philippines, Vietnam, Turkey, Saudi Arabia, United Arab Emirates, South Africa, Israel, Egypt, Nigeria, Brazil, Mexico, Argentina, Colombia, Chile, Peru) market size (sales, revenue and growth rate) of Machine Learning in Medical Imaging industry.
Different types and applications of Machine Learning in Medical Imaging industry, market share of each type and application by revenue.
Global market size (sales, revenue) forecast by regions and countries from 2014-2024 of Machine Learning in Medical Imaging industry.
Upstream raw materials and manufacturing equipment, downstream major consumers, industry chain analysis of Machine Learning in Medical Imaging industry.
Key drivers influencing market growth, opportunities, the challenges and the risks analysis of Machine Learning in Medical Imaging industry.
New Project Investment Feasibility Analysis of Machine Learning in Medical Imaging industry.
The key questions answered in this report:
What will be the Market Size and Growth Rate in the forecast year?
What are the Key Factors driving Machine Learning in Medical Imaging Market?
What are the Risks and Challenges in front of the market?
Who are the Key Vendors in Machine Learning in Medical Imaging Market?
What are the Trending Factors influencing the market shares?
What are the Key Outcomes of Porter’s five forces model?
Which are the Global Opportunities for Expanding the Machine Learning in Medical Imaging Market?
Reasons for buying this report:
It offers an analysis of changing competitive scenario.
For making informed decisions in the businesses, it offers analytical data with strategic planning methodologies.
It offers seven-year assessment of Machine Learning in Medical Imaging Market.
It helps in understanding the major key product segments.
Researchers throw light on the dynamics of the market such as drivers, restraints, trends, and opportunities.
It offers regional analysis of Machine Learning in Medical Imaging Market along with business profiles of several stakeholders.
It offers massive data about trending factors that will influence the progress of the Machine Learning in Medical Imaging Market.
Table of Content:
Industry Overview of Machine Learning in Medical Imaging
Major Manufacturers Analysis of Machine Learning in Medical Imaging
Global Price, Sales and Revenue Analysis of Machine Learning in Medical Imaging by Regions, Manufacturers, Types and Applications
North America Sales and Revenue Analysis of Machine Learning in Medical Imaging by Countries
Europe Sales and Revenue Analysis of Machine Learning in Medical Imaging by Countries
Asia Pacific Sales and Revenue Analysis of Machine Learning in Medical Imaging by Countries
Latin America Sales and Revenue Analysis of Machine Learning in Medical Imaging by Countries
Middle East & Africa Sales and Revenue Analysis of Machine Learning in Medical Imaging by Countries
Global Market Forecast of Machine Learning in Medical Imaging by Regions, Countries, Manufacturers, Types and Applications
Industry Chain Analysis of Machine Learning in Medical Imaging
New Project Investment Feasibility Analysis of Machine Learning in Medical Imaging
Conclusion of the Global Machine Learning in Medical Imaging Industry Market Professional Survey 2020
Appendix
You can still see the other trending report :
https://www.marketwatch.com/story/insights-into-global-instant-oatmeal-market-and-its-growth-outlook-by-2027-2020-07-17
https://thinkcuriouser.com/news/108587/information-technology-market-is-booming-worldwide/
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We are instrumental in providing quantitative and qualitative insights on your area of interest by bringing reports from various publishers at one place to save your time and money. A lot of organizations across the world are gaining profits and great benefits from information gained through reports sourced by us.
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| Big Market Research Analyzes Impact of COVID-19 on Machine Learning in Medical Imaging Market; Stakeholders to Focus on Long-term Dimensions | Big Market Research Analyzes Impact COVID19 Machine Learning Medical Imaging Market; Stakeholders Focus Longterm Dimensions TechnoWeekly Skip content Menu Android coronavirus Energy News Science Space Technologies for: TechnoWeekly Menu Android coronavirus Energy News Science Space Technologies for: Flash News Global Gasket Seal Market Size, Competitive Landscape, Regional Outlook COVID19 Impact Analysis 2026 Global Pure Nicotine Market Report 2020, Analysis Services Type, DemandInsights, Components, Market Dynamics Competitors Analysis till 2026 Global Privatelabel Food Beverage Market Industry Trends, Statistics, key Companies Growth Regional Forecast 2026 Global Paper Shredder Market Size, Share, 2020 Movements Key Findings, Covid19 Impact Analysis, Progression Status, Revenue Expectation 2026 Automotive Control Valve Assembly Market Report 2020 COVID19 Impact Analysis By Segmentations, Key Company Profiles Demand Forecasts 20202026Trusted Business Insights Global Denox Scr Catalyst Market 2020: Covid19 Impact Analysis Market Size, CAGR, Demand, InDepth Assessment Opportunity Analysis Automatic Glass Coverslipper Market 20202026 Comprehensive Study COVID19 Impact Analysis Worldwide Key Players: Thermo Scientific, Sakura Finetek Japan Co., Ltd., Leica Biosystems, More Global Water Chiller Market Corona virus Impact Analysis Industry Business Outlook, Revenue, Trends Forecasts 2026 Global ACSR Market Size, share 2020 Industry Growing Rapidly Recent Demand, Trends Forecast 2027 Says Reportspedia Global Fertilizers Market Size redible Possibilities Growth Analysis Forecast To 2026 Thursday, October 22, 2020 News Big Market Research Analyzes Impact COVID19 Machine Learning Medical Imaging Market; Stakeholders Focus Longterm Dimensions Big Market Research October 22, 2020 Big Market Research added latest report offerings globalMachine Learning Medical Imaging market. The report puts forth impact COVID19 pandemic growth global market. The research report claims global Machine Learning Medical Imaging market anticipated experience substantial growth forecast period 20142024. This report offers indepth insights advances recent trends Machine Learning Medical Imaging market amid COVID19 pandemic. Besides, report discloses factors expected impact aspects global market course forecast period. The report comprises detailed insights key drivers, challenges, restrains, recent trends, opportunities, regional market conditions, prominent companies, latest developments, SWOT analysis,initiatives major market players tackle COVID19 pandemic impact, more. Furthermore, report provides Porter Five Forces analysis evince condition market strength existing players operating global market terms growth future scope. Request sample copy report @ Furthermore, major segments cited report product type, application, end user, region. By product type, market segmented into: Supervised Learning Unsupervised Learning Semi Supervised Learning Reinforced Leaning By Applications type, market segmented into: Breast Lung Neurology Cardiovascular Liver Others By region, market evaluated across:North America, Europe, Asia Pacific, Middle East Africa, Latin America The market players profiled report include Zebra, Arterys, Aidoc, MaxQ AI, Google, Tencent, Alibaba The research report offers detailed insights global key players, operating Machine Learning Medical Imaging market. The information related industry player includes business strategies, company profile, mergers acquisitions, groundbreaking developments, more. This research report updated source information provides answers questions asked shareholders industry, endusers, investors, manufacturers, partners. The study offers guidance individuals companies concerned investing Machine Learning Medical Imaging market. All insights data alluded report derived proven research methodologies. In addition, BMR strive deliver customized report accomplish ondemand special requirements clients. We guarantee quality consistent research outcomes customers. For additional details report customizations, contact team analysts helps break complex market scenario. Connect [emailprotected] toll free: 18009106452. Avail Discount Report @ The major restraints hampering growth global Machine Learning Medical Imaging market include: North America, Europe, Asia Pacific, Middle East Africa, Latin America market size sales, revenue growth rate Machine Learning Medical Imaging industry. Global major manufacturers operating situation sales, revenue, growth rate gross margin Machine Learning Medical Imaging industry. Global major countries United States, Canada, Germany, France, UK, Italy, Russia, Spain, Netherlands, Switzerland, Belgium, China, Japan, Korea, India, Australia, Indonesia, Thailand, Philippines, Vietnam, Turkey, Saudi Arabia, United Arab Emirates, South Africa, Israel, Egypt, Nigeria, Brazil, Mexico, Argentina, Colombia, Chile, Peru market size sales, revenue growth rate Machine Learning Medical Imaging industry. Different types applications Machine Learning Medical Imaging industry, market share type application revenue. Global market size sales, revenue forecast regions countries 20142024of Machine Learning Medical Imaging industry. Upstream raw materials manufacturing equipment, downstream major consumers, industry chain analysis Machine Learning Medical Imaging industry. Key drivers influencing market growth, opportunities, challenges risks analysis Machine Learning Medical Imaging industry. New Project Investment Feasibility Analysis Machine Learning Medical Imaging industry. The key questions answered report: What Market Size Growth Rate forecast year? What Key Factors driving Machine Learning Medical Imaging Market? What Risks Challenges market? Who Key Vendors Machine Learning Medical Imaging Market? What Trending Factors influencing market shares? What Key Outcomes Porters forces model? Which Global Opportunities Expanding Machine Learning Medical Imaging Market? Reasons buying report: It offers analysis changing competitive scenario. For making informed decisions businesses, offers analytical data strategic planning methodologies. It offers sevenyear assessment Machine Learning Medical Imaging Market. It helps understanding major key product segments. Researchers throw light dynamics market drivers, restraints, trends, opportunities. It offers regional analysis Machine Learning Medical Imaging Market business profiles stakeholders. It offers massive data trending factors influence progress Machine Learning Medical Imaging Market. Table Content: Industry Overview Machine Learning Medical Imaging Major Manufacturers Analysis Machine Learning Medical Imaging Global Price, Sales Revenue Analysis Machine Learning Medical Imaging Regions, Manufacturers, Types Applications North America Sales Revenue Analysis Machine Learning Medical Imaging Countries Europe Sales Revenue Analysis Machine Learning Medical Imaging Countries Asia Pacific Sales Revenue Analysis Machine Learning Medical Imaging Countries Latin America Sales Revenue Analysis Machine Learning Medical Imaging Countries Middle East Africa Sales Revenue Analysis Machine Learning Medical Imaging Countries Global Market Forecast Machine Learning Medical Imaging Regions, Countries, Manufacturers, Types Applications Industry Chain Analysis Machine Learning Medical Imaging New Project Investment Feasibility Analysis Machine Learning Medical Imaging Conclusion Global Machine Learning Medical Imaging Industry Market Professional Survey 2020 Appendix You trending report : : Big Market Research range research reports publishers world. Our database reports market categories subcategories help exact report looking for. We instrumental providing quantitative qualitative insights area bringing reports publishers place save time money. A lot organizations world gaining profits great benefits information gained reports sourced us. us: Mr. Abhishek Paliwal 5933 NE Win Sivers Drive, 205, Portland, OR 97220 United States Direct: 19712021575 Toll Free: 18009106452 Email:[emailprotected] Machine Learning Medical Imaging MarketAnalysisBusinessBusiness analysiscorporateDemandDevelopmentForecastGrowthIndustrial newsIndustry AnalysisMarket ResearchMarket Research ReportOutlookOverviewplansResearch ReportScenarioShareSizestrategiesStrategySurveySurvey reportTrends Post navigation Global Machine Learning Medicine Market Projected Witness Measurable Downturn; COVID19 Outbreak Remains Threat Growth Near FutureMachine Learning Finance Market Revenue Decline During Coronavirus Disruption, Stakeholders Realign Their Growth Strategies for: Recent Posts Global Gasket Seal Market Size, Competitive Landscape, Regional Outlook COVID19 Impact Analysis 2026 Global Pure Nicotine Market Report 2020, Analysis Services Type, DemandInsights, Components, Market Dynamics Competitors Analysis till 2026 Global Privatelabel Food Beverage Market Industry Trends, Statistics, key Companies Growth Regional Forecast 2026 Global Paper Shredder Market Size, Share, 2020 Movements Key Findings, Covid19 Impact Analysis, Progression Status, Revenue Expectation 2026 Automotive Control Valve Assembly Market Report 2020 COVID19 Impact Analysis By Segmentations, Key Company Profiles Demand Forecasts 20202026Trusted Business Insights Archives October 2020 September 2020 August 2020 July 2020 June 2020 May 2020 Categories Android coronavirus Energy News Science Space Sports Technologies Uncategorized Meta Log Entries feed Comments feed Proudly powered WordPress Theme: TimesNews By . 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https://www.einpresswire.com/article/528800531/riskfuel-partners-with-the-university-of-toronto-on-ground-breaking-research-for-ai-in-capital-markets | 2020-10-20T00:00:00 | en | Riskfuel partners with the University of Toronto on ground-breaking research for AI in capital markets |
Riskfuel partners with the University of Toronto on ground-breaking research for AI in capital markets
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Riskfuel partners with the University of Toronto on ground-breaking research for AI in capital markets
News Provided By
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October 20, 2020, 10:00 GMT
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/EIN News/ -- Riskfuel and the University of Toronto have partnered on a research project to push the boundaries of AI research and explore new possibilities for machine learning in capital markets, based on Riskfuel’s innovative approach that offers 1,000,000x faster valuations to derivatives traders TORONTO, Oct. 20, 2020 (GLOBE NEWSWIRE) -- Riskfuel, a capital markets technology company using AI to revolutionize derivatives valuation and trading, today announced a research partnership with the University of Toronto Department of Statistical Sciences focused on deep learning in financial modelling. The partnership brings together some of the leading experts in AI-powered valuations for over-the-counter (OTC) derivatives, a $600 trillion market that includes interest rate swaps, credit default swaps, and structured products that aren’t traded on the stock exchange. Riskfuel CEO Ryan Ferguson, who wrote one of the seminal papers on applying machine learning to derivatives valuation, will lead his team of financial industry veterans in working with Professor Sebastian Jaimungal, Director of the Masters of Financial Insurance program at the University of Toronto. “We are excited to be partnering with some of University of Toronto’s world-class researchers on a huge, fast-developing new area of opportunity,” said Ferguson. “We have already demonstrated that AI in capital markets will be transformational, and working with Prof. Jaimungal will allow us to stay at the forefront of innovation.” The University of Toronto and Riskfuel received funding from the Natural Sciences and Engineering Research Council of Canada (NSERC) for the project. Riskfuel will share its industry expertise and ground-breaking applications, while Prof. Jaimungal and his team from the Department of Statistical Sciences will explore new possibilities from the latest research on machine learning and finance. Their research project focuses on volatility surfaces, which use geometry to provide a window into the dynamics of current conditions in financial markets. Volatility surfaces are a necessary input for an AI model looking at derivatives, but these complex objects often confound traders and quantitative modellers. This research will contribute to a better understanding of the population of potential volatility surfaces, which will allow AI models to train on every possible future state. That means models that can respond correctly no matter the conditions in financial markets. “Riskfuel is a pioneer in developing ML tools in the financial markets, so they’re a natural partner,” said Prof. Jaimungal. “It’s exciting to be working with people who have an understanding of both industrial applications and AI. We will be working at the cutting edge, bridging academic explorations with practical, real-world applications. The potential here is wide and far-reaching.” The research partnership will focus on real-time valuation for OTC derivatives. Traders have a hard time knowing the actual value of these contracts because they can be contingent on interest rates, asset prices, or other economic indicators. Calculating all the possible outcomes is computationally intensive, and the current approach involves applying huge resources to provide overnight assessments of the previous day’s trading. Riskfuel’s approach uses machine learning to speed up derivatives valuations and risk sensitivity calculations up to 1,000,000 times faster than current applications. Instead of overnight, traders can have accurate information on derivatives values in real-time. About Riskfuel Riskfuel Analytics Inc. is a capital markets and insurance technology company using AI to accelerate valuation and risk sensitivity calculations. www.riskfuel.com Contact:[email protected] Yonge Street,Toronto, Ontario M5C 1X6Canada
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| Riskfuel partners with the University of Toronto on ground-breaking research for AI in capital markets | Riskfuel partners University Toronto groundbreaking research AI capital markets About About EIN Presswire How We Are Different. 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Riskfuel partners University Toronto groundbreaking research AI capital markets News Provided By GlobeNewswire October 20, 2020, 10:00 GMT Share This Article EIN News Riskfuel University Toronto partnered research project push boundaries AI research explore new possibilities machine learning capital markets, based Riskfuels innovative approach offers 1,000,000x faster valuations derivatives traders TORONTO, Oct. 20, 2020 GLOBE NEWSWIRE Riskfuel, capital markets technology company AI revolutionize derivatives valuation trading, today announced research partnership University Toronto Department Statistical Sciences focused deep learning financial modelling. The partnership brings leading experts AIpowered valuations overthecounter OTC derivatives, 600 trillion market includes rate swaps, credit default swaps, structured products arent traded stock exchange. Riskfuel CEO Ryan Ferguson, wrote seminal papers applying machine learning derivatives valuation, lead team financial industry veterans working Professor Sebastian Jaimungal, Director Masters Financial Insurance program University Toronto. We excited partnering University Torontos worldclass researchers huge, fastdeveloping new area opportunity, said Ferguson. We demonstrated AI capital markets transformational, working Prof. Jaimungal allow stay forefront innovation. The University Toronto Riskfuel received funding Natural Sciences Engineering Research Council Canada NSERC project. Riskfuel share industry expertise groundbreaking applications, Prof. Jaimungal team Department Statistical Sciences explore new possibilities latest research machine learning finance. Their research project focuses volatility surfaces, use geometry provide window dynamics current conditions financial markets. Volatility surfaces necessary input AI model looking derivatives, complex objects confound traders quantitative modellers. This research contribute better understanding population potential volatility surfaces, allow AI models train possible future state. That means models respond correctly matter conditions financial markets. Riskfuel pioneer developing ML tools financial markets, theyre natural partner, said Prof. Jaimungal. Its exciting working people understanding industrial applications AI. We working cutting edge, bridging academic explorations practical, realworld applications. The potential wide farreaching. The research partnership focus realtime valuation OTC derivatives. Traders hard time knowing actual value contracts contingent rates, asset prices, economic indicators. Calculating possible outcomes computationally intensive, current approach involves applying huge resources provide overnight assessments previous days trading. Riskfuels approach uses machine learning speed derivatives valuations risk sensitivity calculations 1,000,000 times faster current applications. Instead overnight, traders accurate information derivatives values realtime. About Riskfuel Riskfuel Analytics . capital markets insurance technology company AI accelerate valuation risk sensitivity calculations. :media Yonge Street,Toronto, Ontario M5C 1X6Canada You read: Riskfuel partners University Toronto groundbreaking research AI capital markets News Provided By GlobeNewswire October 20, 2020, 10:00 GMT Share This Article Distribution channels: Companies, Media, Advertising PR, Technology EIN Presswires priority source transparency. We allow opaque clients, editors try careful weeding false misleading content. As user, missed, bring attention. Your help welcome. EIN Presswire, Everyones Internet News Presswire, tries define boundaries reasonable todays world. Please Editorial Guidelines information. email More From This Source Agenus Report Third Quarter Earnings CUPE 3902: University Toronto little, late staff, students contract COVID19 ProcessUnity Dun Bradstreet Partnership Provides Global Financial Data Enhance ThirdParty Risk Management ... View All Stories From This Source PR Distribution Home How It Works Why Us Pricing Distribution Editorial Guidelines Submit Release Newswires All Newswires World Newswires US Newswires Industry Newswires Press Releases All Press Releases Releases Country Releases US State Releases Industry Releases Date Resources World Media Directory Mobile App Affiliate Program RSS Feeds Email Newsletters News Alert Maker NewsPlugin HelpSupport FAQ Video Tutorials Client Testimonials Form In U.S. 12023353939 In Europe 442080363949 Follow EIN Presswire User Agreement Policy 19952020 IPD Group, . dba EIN Presswire All Right Reserved. MEET OUR APP FOR iOS ANDROID Dont miss breaking news Get EIN Presswire App Power mobile latest breaking news country, US state industry. Watch Video Learn More Get Email Alerts Get Mobile App | 2,020 | [
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] | 1 | POSITIVE | 74 |
https://marketresearchsheets.com/2020/05/06/ai-medicine-software-market-explosive-growth-by-enlitic-recursion-pharmaceuticals-babylon-health-atomwise-sophia-genetics-deepmind/ | 2020-05-06T00:00:00 | en | AI Medicine Software Market explosive growth by: Enlitic, Recursion Pharmaceuticals, Babylon Health, Atomwise, Sophia Genetics, DeepMind. – Market Research Sheets |
AI Medicine Software Market explosive growth by: Enlitic, Recursion Pharmaceuticals, Babylon Health, Atomwise, Sophia Genetics, DeepMind. – Market Research Sheets
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The latest research AI Medicine Software Market both qualitative and quantitative data analysis to present an overview of the future adjacency around AI Medicine Software Market for the forecast period, 2019-2024. The AI Medicine Software Market’s growth and developments are studied and a detailed overview is been given.
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A thorough study of the competitive landscape of the AI Medicine Software Market has been give presenting insights into the company profiles, financial status, recent developments, mergers and acquisitions, and the SWOT analysis. It provides a refined view of the classifications, applications, segmentations, specifications and many more for AI Medicine Software Market. This market research is an intelligence report with meticulous efforts undertaken to study the right and valuable information. Regulatory scenarios that affect the various decisions in the AI Medicine Software Market are given a keen observation and have been explained.
Some of the leading market players include: Enlitic, Recursion Pharmaceuticals, Babylon Health, Atomwise, Sophia Genetics, DeepMind.
Reports Intellect projects detail AI Medicine Software Market based on elite players, present, past and futuristic data which will offer as a profitable guide for all AI Medicine Software Market competitors. Well explained SWOT analysis, revenue share and contact information are shared in this report analysis.
Segmentation by Type: Diagnosis Processes, Treatment Protocol Development, Drug Development, Personalized Medicine, Patient Monitoring and Care.
Segmentation by application: Hospital, Laboratory, Others.
Get Instant Discount Now at https://www.reportsintellect.com/discount-request/867554
Table of Contents
2019-2024 Global AI Medicine Software Market Report
1 AI Medicine Software Market Overview
1.1 Product Overview and Scope of AI Medicine Software
1.2 Classification of AI Medicine Software by Types
1.2.1 Global AI Medicine Software Revenue Comparison by Types (2019-2024)
1.2.2 Global AI Medicine Software Revenue Market Share by Types in 2018
1.2.3 Diagnosis Processes
1.2.4 Treatment Protocol Development
1.2.5 Drug Development
1.2.6 Personalized Medicine
1.2.7 Patient Monitoring and Care
1.3 Global AI Medicine Software Market by Application
1.3.1 Global AI Medicine Software Market Size and Market Share Comparison by Applications (2014-2024)
1.3.2 Hospital
1.3.3 Laboratory
1.3.4 Others
1.4 Global AI Medicine Software Market by Regions
1.4.1 Global AI Medicine Software Market Size (Million USD) Comparison by Regions (2014-2024)
1.4.1 North America (USA, Canada and Mexico) AI Medicine Software Status and Prospect (2014-2024)
1.4.2 Europe (Germany, France, UK, Russia and Italy) AI Medicine Software Status and Prospect (2014-2024)
1.4.3 Asia-Pacific (China, Japan, Korea, India and Southeast Asia) AI Medicine Software Status and Prospect (2014-2024)
1.4.4 South America (Brazil, Argentina, Colombia) AI Medicine Software Status and Prospect (2014-2024)
1.4.5 Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa) AI Medicine Software Status and Prospect (2014-2024)
1.5 Global Market Size of AI Medicine Software (2014-2024)
2 Company Profiles
Continued.
Reasons to buy this report:
Estimates 2019-2024 AI Medicine Software Market development trends with the recent trends and SWOT analysis.
Obtain the most up to date information available on all active and planned AI Medicine Software Market globally.
Understand regional AI Medicine Software Market supply scenario.
Identify opportunities in the AI Medicine Software Market industry with the help of upcoming projects and capital expenditure outlook.
Facilitate decision making on the basis of strong historical and forecast of AI Medicine Software Market capacity data.
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| AI Medicine Software Market explosive growth by: Enlitic, Recursion Pharmaceuticals, Babylon Health, Atomwise, Sophia Genetics, DeepMind. | AI Medicine Software Market explosive growth by: Enlitic, Recursion Pharmaceuticals, Babylon Health, Atomwise, Sophia Genetics, DeepMind. Market Research Sheets About Team Feedback Terms Use Market Research Sheets NewsSatelliteNASARocketsSPACE AI Medicine Software Market explosive growth by: Enlitic, Recursion Pharmaceuticals, Babylon Health, Atomwise, Sophia Genetics, DeepMind. Industrial Dry Vacuum Cleaners Market Analysis Top Companies, Driver, Existing Trends Global Forecast 2024 Undercarriage Components Market Global Industry Analysis Opportunity Assessment 2026 Butyl Isovalerate Market Dynamics, Trends, Opportunities, Drivers, Challenges Influence Factors 2024 Global Fiber Reinforced Plastic FRP Tank Market Size In Terms Of Volume And Value 2024 Small Satellite Services Market Technological Trends 20192025 Leading Players Singapore Telecommunications, Eutelsat Communications, EchoStar Corporation, Inmarsat plc Market Research Sheets NewsSatelliteNASARocketsSPACE Market Research Sheets News Satellite NASA Rockets SPACE Application Gadgets News Technology AI Medicine Software Market explosive growth by: Enlitic, Recursion Pharmaceuticals, Babylon Health, Atomwise, Sophia Genetics, DeepMind. May 6, 20203 Min Read [emailprotected] Share This Facebook Twitter Google Plus Pinterest LinkedIn The latest research AI Medicine Software Market qualitative quantitative data analysis present overview future adjacency AI Medicine Software Market forecast period, 20192024. The AI Medicine Software Markets growth developments studied detailed overview given. Get Sample Copy Report A thorough study competitive landscape AI Medicine Software Market presenting insights company profiles, financial status, recent developments, mergers acquisitions, SWOT analysis. It provides refined view classifications, applications, segmentations, specifications AI Medicine Software Market. This market research intelligence report meticulous efforts undertaken study right valuable information. Regulatory scenarios affect decisions AI Medicine Software Market given keen observation explained. Some leading market players include: Enlitic, Recursion Pharmaceuticals, Babylon Health, Atomwise, Sophia Genetics, DeepMind. Reports Intellect projects AI Medicine Software Market based elite players, present, past futuristic data offer profitable guide AI Medicine Software Market competitors. Well explained SWOT analysis, revenue share contact information shared report analysis. Segmentation Type: Diagnosis Processes, Treatment Protocol Development, Drug Development, Personalized Medicine, Patient Monitoring Care. Segmentation application: Hospital, Laboratory, Others. Get Instant Discount Now Table Contents 20192024 Global AI Medicine Software Market Report 1 AI Medicine Software Market Overview 1.1 Product Overview Scope AI Medicine Software 1.2 Classification AI Medicine Software Types 1.2.1 Global AI Medicine Software Revenue Comparison Types 20192024 1.2.2 Global AI Medicine Software Revenue Market Share Types 2018 1.2.3 Diagnosis Processes 1.2.4 Treatment Protocol Development 1.2.5 Drug Development 1.2.6 Personalized Medicine 1.2.7 Patient Monitoring Care 1.3 Global AI Medicine Software Market Application 1.3.1 Global AI Medicine Software Market Size Market Share Comparison Applications 20142024 1.3.2 Hospital 1.3.3 Laboratory 1.3.4 Others 1.4 Global AI Medicine Software Market Regions 1.4.1 Global AI Medicine Software Market Size Million USD Comparison Regions 20142024 1.4.1 North America USA, Canada Mexico AI Medicine Software Status Prospect 20142024 1.4.2 Europe Germany, France, UK, Russia Italy AI Medicine Software Status Prospect 20142024 1.4.3 AsiaPacific China, Japan, Korea, India Southeast Asia AI Medicine Software Status Prospect 20142024 1.4.4 South America Brazil, Argentina, Colombia AI Medicine Software Status Prospect 20142024 1.4.5 Middle East Africa Saudi Arabia, UAE, Egypt, Nigeria South Africa AI Medicine Software Status Prospect 20142024 1.5 Global Market Size AI Medicine Software 20142024 2 Company Profiles Continued. Reasons buy report: Estimates 20192024 AI Medicine Software Market development trends recent trends SWOT analysis. Obtain date information available active planned AI Medicine Software Market globally. Understand regional AI Medicine Software Market supply scenario. Identify opportunities AI Medicine Software Market industry help upcoming projects capital expenditure outlook. Facilitate decision making basis strong historical forecast AI Medicine Software Market capacity data. Us: [emailprotected] PH 17069962486 US Address: 225 Peachtree Street NE, Suite 400, Atlanta, GA 30303 This post originally published Market Research Sheets TagsAI Medicine Software Market AI Medicine Software Market Analysis AI Medicine Software Market forecast You like News Technology Undercarriage Components Market Global Industry Analysis Opportunity Assessment 2026 May 6, 2020 News Butyl Isovalerate Market Dynamics, Trends, Opportunities, Drivers, Challenges Influence Factors 2024 May 6, 2020 News Global Fiber Reinforced Plastic FRP Tank Market Size In Terms Of Volume And Value 2024 May 6, 2020 About authorView All Posts [emailprotected] Industrial Dry Vacuum Cleaners Market Analysis Top Companies, Driver, Existing Trends Global Forecast 2024 Share This Facebook Twitter Google Plus Pinterest LinkedIn Related Application Gadgets News Technology AI Medicine Software Market explosive growth by: Enlitic, Recursion Pharmaceuticals, Babylon Health, Atomwise, Sophia Genetics, DeepMind. 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Home / Private Investing / Other Private Investing / Invest in Tempus: Health Start-up Using Artificial Intelligence to Identify Cures for Illnesses
Invest in Tempus: Health Start-up Using Artificial Intelligence to Identify Cures for Illnesses
Tempus focuses on using Artificial Intelligence to make precision medicine a reality finding cures for illnesses such as cancer and Covid-19
By Stavros Georgiadis, CFA, InvestorPlace Contributor
Jul 6, 2020, 7:53 am EDT
July 6, 2020
Tempus is a healthcare startup using key technologies, mainly artificial intelligence and machine learning, to identify cures for illnesses such as cancer. Why invest in Tempus? One of the reasons is to join the fight against Covid-19 and depression. But another reason is that Tempus has joined the CNBC Disruptor 50 list, 50 private companies that have the potential to change the world.
Source: Shutterstock
The founder of Tempus is Eric Lefkofsky, the CEO of the company and a Groupon (NASDAQ:GRPN) co-founder. The company launched in 2015, having its headquarters in Chicago. At the time the CNBC list was written, it had already raised $620 million and its valuation had reached $5 billion.
Tempus operates in the healthcare sector, using artificial intelligence and machine learning to analyze data and identify treatments for several illnesses, mainly cancer though it is branching into fighting Covid-19.
What Is the Business Model of Tempus?
First, Tempus offers genomic tests for physicians to order, currently offering four types of tests. According to the website, “our genomic tests analyze DNA, RNA, and proteomic data to understand a patient’s tumor at the molecular level so we can identify treatment options tailored to each and every patient.”
Second, there are partnerships with academic and medical centers to gather data and organize them in electronic health records. The labs are in Atlanta, and Tempus is said to have formed among the world’s largest molecular and clinical data libraries.
Third, the company “curates and sells de-identified data to pharmaceutical companies working on drug discovery.”
Before deciding if you want to invest in Tempus, you should know that big data in the healthcare market is a multi-billion market worldwide. This specialized healthcare market “was valued at over $ 14.7 billion in 2018 and is projected to grow at a CAGR of around 20% to reach $ 42.8 billion by 2024 owing to increasing adoption of Electronic Health Record (EHR), control healthcare spending, advance patient outcomes, etc. Health-related data is growing at a rapid pace driven by the government initiatives to promote the adoption of healthcare information system and introduction of cloud storage. Moreover, increasing adoption of mobile health apps and wearable devices, are further stressing on the need for managing large amount of data to obtain critical information, thereby driving the demand for big data in healthcare sector. Additionally, elevating popularity of electronic prescriptions eliminates the need for paper-based prescriptions, which is further positively influencing the growth of the market.”
Before investing in any company, either through public trading or private investing, it is always a good idea to check the fundamentals and growth of the main market it operates in. The above data shows that there is plenty of potential for growth for this healthcare sector, a factor to consider should you decide to invest in Tempus.
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Main Applications, Products and Services
The main applications of Tempus business solutions are in the fields of oncology; neurology and psychiatry; research; life sciences; and infectious diseases. The company is focusing on supporting the cure of Covid-19 — providing tests and sample kits to individual patients, which are collected and processed. The results are very quick — usually within about two days — and the Tempus mobile application is used to inform the patients.
Tempus|iD is a sequencing panel under development that will be used to cover and analyze an extensive range of known respiratory ailments including Covid-19 and other common forms of coronavirus, as well as pneumonia and others. The purpose is to have a wide range of genomic sequencing for the virus that will further help research and discovery as well.
Other products and services offered by Tempus include genomic profiling, data licensing, clinical trial matching, companion diagnostics and additional testing. Genomic profiling is among the core products, offering a wide range of DNA and RNA sequencing services to help physicians to make data-driven decisions. Doctors can have access to a variety of sequencing capabilities and partnerships with physicians and hospitals can provide both a plethora of analytics and machine learning solutions.
There are four types of genomic tests:
• Tempus|xT searching and analyzing a targeted panel of 648 genes for the most commonly mutated cancer driver genes
• Tempus|xE a panel of about 20,000 genes
• Tempus|xF a targeted panel of 105 genes
• Tempus|nP a targeted panel of 15 genes
These tests use DNA sequencing using tumor/normal match and RNA sequencing and the laboratory capacity is over 100,000 patients per year.
It is worth mentioning that Tempus offers financial assistance to provide both easy and affordable access to its services offering a maximum cost of no more than $100 for those who qualify. Tempus is covered by insurance accepting all insurance plans and at this time is in-network with Aetna and Priority Health. Tempus is a covered entity under the Health Insurance Portability and Accountability Act (HIPAA), providing anonymity to all important and sensitive data such as the name of the patient, their date of birth and their address.
Should You Invest in Tempus?
The company has not yet released detailed IPO plans, but it operates in a business sector with a lot of potential growth, offering cutting-edge technologies and business solutions to fight illnesses such as cancer and Covid-19. The data-driven healthcare market is promising, yet it is suggested to further analyze in-depth and evaluate the positive and negative aspects of private investing.
As of this writing, Stavros Georgiadis did not hold a position in any of the aforementioned securities.
Investing through equity and real estate crowdfunding or asset tokenization requires a high degree of risk tolerance. Despite what individual companies may promise, there’s always the chance of losing a portion, or the entirety, of your investment. These risks include:
1) Greater chance of failure2) Risk of fraudulent activity3) Lack of liquidity4) Economic downturns5) Dearth of investor education
Read more: Private Investing Risks
Article printed from InvestorPlace Media, https://investorplace.com/2020/07/invest-in-tempus-health-start-up-using-artificial-intelligence-to-identify-cures-for-illnesses/.
©2020 InvestorPlace Media, LLC
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| Invest in Tempus: Health Start-up Using Artificial Intelligence to Identify Cures for Illnesses | Invest Tempus: Health Startup Using Artificial Intelligence Identify Cures Illnesses InvestorPlace DOW Nasdaq SP Our Analysts Premium Services Premium Services Column One Growth Investing Growth Investor Investment Opportunities Early Stage Investor Platinum Growth Small Cap Breakthrough Stocks Column Two Options Cannabis Cash Weekly Options Master Class Strategic Trader Value Hunters Frys Investment Report Profitable Investing The Speculator Column Three Active Trading Accelerated Profits Ultimate Crypto Funds ETFs Fidelity Investor Fidelity Sector Investor The Independent Adviser Vanguard Investors The Independent Vanguard Fund Analyzer We help Please contact questions concerns products, account billing. Hours Monday Friday9 a.m. 5 p.m. ET Phone 800 2198592 Email feedback Not Yet r? We bring diverse group leaders investment advice. Now Welcome Sign Have question? 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Home Private Investing Other Private Investing Invest Tempus: Health Startup Using Artificial Intelligence Identify Cures Illnesses Invest Tempus: Health Startup Using Artificial Intelligence Identify Cures Illnesses Tempus focuses Artificial Intelligence precision medicine reality finding cures illnesses cancer Covid19 By Stavros Georgiadis, CFA, InvestorPlace Contributor Jul 6, 2020, 7:53 EDT July 6, 2020 Tempus healthcare startup key technologies, mainly artificial intelligence machine learning, identify cures illnesses cancer. Why invest Tempus? One reasons join fight Covid19 depression. But reason Tempus joined CNBC Disruptor 50 list, 50 private companies potential change world. Source: Shutterstock The founder Tempus Eric Lefkofsky, CEO company Groupon NASDAQ:GRPN cofounder. The company launched 2015, headquarters Chicago. At time CNBC list written, raised 620 million valuation reached 5 billion. Tempus operates healthcare sector, artificial intelligence machine learning analyze data identify treatments illnesses, mainly cancer branching fighting Covid19. What Is Business Model Tempus? First, Tempus offers genomic tests physicians order, currently offering types tests. According website, genomic tests analyze DNA, RNA, proteomic data understand patients tumor molecular level identify treatment options tailored patient. Second, partnerships academic medical centers gather data organize electronic health records. The labs Atlanta, Tempus said formed worlds largest molecular clinical data libraries. Third, company curates sells deidentified data pharmaceutical companies working drug discovery. Before deciding want invest Tempus, know big data healthcare market multibillion market worldwide. This specialized healthcare market valued 14.7 billion 2018 projected grow CAGR 20 reach 42.8 billion 2024 owing increasing adoption Electronic Health Record EHR, control healthcare spending, advance patient outcomes, etc. Healthrelated data growing rapid pace driven government initiatives promote adoption healthcare information introduction cloud storage. Moreover, increasing adoption mobile health apps wearable devices, stressing need managing large data obtain critical information, driving demand big data healthcare sector. Additionally, elevating popularity electronic prescriptions eliminates need paperbased prescriptions, positively influencing growth market. Before investing company, public trading private investing, good idea check fundamentals growth main market operates in. The data shows plenty potential growth healthcare sector, factor consider decide invest Tempus. Compare Brokers Main Applications, Products Services The main applications Tempus business solutions fields oncology; neurology psychiatry; research; life sciences; infectious diseases. The company focusing supporting cure Covid19 providing tests sample kits individual patients, collected processed. The results quick usually days Tempus mobile application inform patients. TempusiD sequencing panel development cover analyze extensive range known respiratory ailments including Covid19 common forms coronavirus, pneumonia others. The purpose wide range genomic sequencing virus help research discovery well. Other products services offered Tempus include genomic profiling, data licensing, clinical trial matching, companion diagnostics additional testing. Genomic profiling core products, offering wide range DNA RNA sequencing services help physicians datadriven decisions. Doctors access variety sequencing capabilities partnerships physicians hospitals provide plethora analytics machine learning solutions. There types genomic tests: TempusxT searching analyzing targeted panel 648 genes commonly mutated cancer driver genes TempusxE panel 20,000 genes TempusxF targeted panel 105 genes TempusnP targeted panel 15 genes These tests use DNA sequencing tumornormal match RNA sequencing laboratory capacity 100,000 patients year. It worth mentioning Tempus offers financial assistance provide easy affordable access services offering maximum cost 100 qualify. Tempus covered insurance accepting insurance plans time innetwork Aetna Priority Health. Tempus covered entity Health Insurance Portability Accountability Act HIPAA, providing anonymity important sensitive data patient, date birth address. Should You Invest Tempus? The company released detailed IPO plans, operates business sector lot potential growth, offering cuttingedge technologies business solutions fight illnesses cancer Covid19. The datadriven healthcare market promising, suggested analyze indepth evaluate positive negative aspects private investing. As writing, Stavros Georgiadis hold position aforementioned securities. Investing equity real estate crowdfunding asset tokenization requires high degree risk tolerance. Despite individual companies promise, theres chance losing portion, entirety, investment. These risks include: 1 Greater chance failure2 Risk fraudulent activity3 Lack liquidity4 Economic downturns5 Dearth investor education Read more:Private Investing Risks Article printed InvestorPlace Media, 2020 InvestorPlace Media, LLC More InvestorPlace Gadgets, Smartphones Tech SelfDriving Cars Just Took Big Leap Forward Heres How Invest By Louis Navellier Jul 6, 2020 Asset Tokenization Why Cryptocurrencies Threaten Analog Economy By Matt McCall InvestorPlace Research Staff Jul 6, 2020 Stocks Buy Investing During Coronavirus: 3 Foolproof Bank Stocks Buy Big Profits By InvestorPlace Staff Jul 6, 2020 Sponsored Headlines ADVERTISEMENT Most Popular 1. Hot Stocks 7 Exciting Robinhood Stocks Investors Should Keep An Eye On 2. Stock Market Today 4 Top Stock Trades Monday: NIO, DOCU, JPM, MRNA 3. Stocks Buy 7 American Manufacturing Stocks Buy Before Recovery 4. Stocks Buy The Top 7 Healthcare Stocks You Should Be Watching 5. 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https://business.financialpost.com/diane-francis/diane-francis-all-bets-are-off-if-ai-becomes-smarter-than-people | 2020-02-03T00:00:00 | en | Diane Francis: All bets are off if AI becomes smarter than people | Financial Post |
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Diane Francis: All bets are off if AI becomes smarter than people
The acceleration of development and lack of global regulatory control represents the biggest threat going forward
By 2029, the development of artificial intelligence that matches human capability is expected. This will be followed by the spectre of what’s known as General AI — machines capable of designing machines, writes Diane Francis.Getty Images
Diane Francis
February 3, 20202:33 PM EST
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Technology is bestowing wonderful opportunities and benefits to the world, but the acceleration of development, and lack of global regulatory control, represents the biggest threat going forward.Cool toys, fancy devices, and healthcare cures are positive developments. But less benign will be the development, without guard rails, of artificial intelligence that matches human capability by 2029. Worse yet, this will be followed by the spectre of what’s known as General AI — machines capable of designing machines.Another worrisome field is synthetic biology, genetic engineering, and the propagation of androids or AIs on two legs with personalities. Mankind has faced similar technological challenges, notably nuclear weapons, but famous physicist Robert Oppenheimer rose to the challenge. He ran the Manhattan Project to develop the atomic bomb, realized its danger, then spent decades lobbying leaders to create the Nuclear Non-Proliferation Treaty, the cornerstone of nuclear control, which took effect in 1970.Success in creating effective AI could be the biggest event in the history of our civilization. Or the worstStephen Hawking
Oppenheimer is the only reason why humanity hasn’t blown itself to bits, but today there is no scientist of the stature of Oppenheimer to devote his life to ensuring governments bridle the transformative technologies under development. And the threat is greater. Bombs, after all, are controlled by human beings, not the other way around. But if AI becomes smarter than humans, then all bets are off.
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The task of imposing ethics and restraints on science, technology and engineering is greater now. Nuclear capability requires massive amounts of scarce materials, capital, and infrastructure, all of which can be detected or impeded. But when it comes to exponential tech, simply organizing governments or big corporations won’t do the trick because the internet has distributed knowledge and research capability across the globe. This means the next pandemic or hazardous algorithm or immoral human biological experimentation can be conducted in a proverbial “garage” or in a rogue state.
The late, legendary physicist Stephen Hawking warned in 2017: “So, we cannot know if we will be infinitely helped by AI, or ignored by it and sidelined, or conceivably destroyed by it.”
Niklas Halle’n/AFP/Getty Images
The late, legendary physicist Stephen Hawking warned in 2017: “Success in creating effective AI could be the biggest event in the history of our civilization. Or the worst. We just don’t know. So, we cannot know if we will be infinitely helped by AI, or ignored by it and sidelined, or conceivably destroyed by it.”Tesla founder Elon Musk and others have been vocal about this risk, but international action is needed. To date, these fears and ethical constraints have only been addressed in petitions and open letters signed by important scientists but these have not captured global attention, nor have they provoked a political movement.In 1975, the Asilomar Conference on Recombinant DNA led to guidelines about bio-safety that included a halt to experiments that combined DNA from different organisms. Then, in 2015, an open letter concerning the convergence of AI with nuclear weapons was signed by more than 1,000 luminaries, including Apple co-founder Steve Wozniak, Hawking and Musk. They called for a ban on AI warfare and autonomous weapons, and eventually led to a United Nations initiative. But four years later, the U.N. Secretary General was still urging all member nations to agree to the ban. Only 125 had signed.Without robust ethical and legal frame works there will be proliferation and lapses. In November 2018, for instance, a rogue Chinese geneticist, He Jiankui, broke longstanding biotech guidelines among scientists and altered the embryonic genes of twin girls to protect them from the HIV virus. He was fired from his research job in China, because he had intentionally dodged oversight committees and used potentially unsafe techniques. Since then, he has disappeared from public view.There’s little question that, as U.S. entrepreneur and engineer Peter Diamandis has said, “we live in extraordinary times.” There is also much reason for optimism. But for pessimism, too.
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| Diane Francis: All bets are off if AI becomes smarter than people | Diane Francis: All bets AI smarter people Financial Post ... NewsAll NewsEconomyFP StreetRetail MarketingTelecomTransportationLegal PostReal EstateAll Real EstateMortgagesCommercial Real EstateCommoditiesEnergyMiningAgricultureInvestingAll InvestingInvesting ProGlobal InvestorOutlookFundsMarketsPersonal FinanceAll Personal FinanceFamily FinanceHigh Net WorthYoung MoneyDebtRetirementSavingsTaxesInnovationAll InnovationPersonal TechPost ArcadeBlockchainInformation TechFP CommentEntrepreneurAll EntrepreneurFP StartupsGrowth StrategiesFranchise FocusMoneySmall BusinessAll Small BusinessSmall Business DigestExecutiveAll ExecutiveCSuiteCareersBusiness EducationExecutive WomenFP MagazineAll FP MagazineCEO YearMoreJobsNational Post Diane Francis: All bets AI smarter people The acceleration development lack global regulatory control represents biggest threat going forward By 2029, development artificial intelligence matches human capability expected. This followed spectre whats known General AI machines capable designing machines, writes Diane Francis.Getty Images Diane Francis February 3, 20202:33 PM EST Filed Diane Francis Comment Facebook Twitter Reddit Email More Share storyDiane Francis: All bets AI smarter people Tumblr Pinterest Google LinkedIn Technology bestowing wonderful opportunities benefits world, acceleration development, lack global regulatory control, represents biggest threat going forward.Cool toys, fancy devices, healthcare cures positive developments. But benign development, guard rails, artificial intelligence matches human capability 2029. Worse yet, followed spectre whats known General AI machines capable designing machines.Another worrisome field synthetic biology, genetic engineering, propagation androids AIs legs personalities. Mankind faced similar technological challenges, notably nuclear weapons, famous physicist Robert Oppenheimer rose challenge. He ran Manhattan Project develop atomic bomb, realized danger, spent decades lobbying leaders create Nuclear NonProliferation Treaty, cornerstone nuclear control, took effect 1970.Success creating effective AI biggest event history civilization. Or worstStephen Hawking Oppenheimer reason humanity blown bits, today scientist stature Oppenheimer devote life ensuring governments bridle transformative technologies development. And threat greater. Bombs, all, controlled human beings, way around. But AI smarter humans, bets off. Diane Francis: The future faster better tech reinvents world Diane Francis: 22nd century transport options coming sooner think Diane Francis: Treating aging like disease big thing science The task imposing ethics restraints science, technology engineering greater now. Nuclear capability requires massive amounts scarce materials, capital, infrastructure, detected impeded. But comes exponential tech, simply organizing governments big corporations wont trick internet distributed knowledge research capability globe. This means pandemic hazardous algorithm immoral human biological experimentation conducted proverbial garage rogue state. The late, legendary physicist Stephen Hawking warned 2017: So, know infinitely helped AI, ignored sidelined, conceivably destroyed it. Niklas HallenAFPGetty Images The late, legendary physicist Stephen Hawking warned 2017: Success creating effective AI biggest event history civilization. Or worst. We dont know. So, know infinitely helped AI, ignored sidelined, conceivably destroyed it.Tesla founder Elon Musk vocal risk, international action needed. To date, fears ethical constraints addressed petitions open letters signed important scientists captured global attention, provoked political movement.In 1975, Asilomar Conference Recombinant DNA led guidelines biosafety included halt experiments combined DNA different organisms. Then, 2015, open letter concerning convergence AI nuclear weapons signed 1,000 luminaries, including Apple cofounder Steve Wozniak, Hawking Musk. They called ban AI warfare autonomous weapons, eventually led United Nations initiative. But years later, U.N. Secretary General urging member nations agree ban. Only 125 signed.Without robust ethical legal frame works proliferation lapses. In November 2018, instance, rogue Chinese geneticist, He Jiankui, broke longstanding biotech guidelines scientists altered embryonic genes twin girls protect HIV virus. He fired research job China, intentionally dodged oversight committees potentially unsafe techniques. Since then, disappeared public view.Theres little question that, U.S. entrepreneur engineer Peter Diamandis said, live extraordinary times. There reason optimism. But pessimism, too. Comments Join conversation The Logic Unionization drive targets Foodoras Montreal operations Ottawas broadcasting telecommunications review panel recommends major changes content rules Canadian banks pensions promise climate action wake BlackRock divestment An Ontario town imposed steepest shorttermrental fees North America. Airbnb spent year ignoring Diane Francis Diane Francis: The future faster better tech reinvents world Diane Francis: Treating aging like disease big thing science Diane Francis: 22nd century transport options coming sooner think Diane Francis: Trudeau needs Teck oilsands project built Diane Francis: In picking sides China U.S., Canadas choice clear Diane Francis: Russia winner Iranian strikes, plane shootdown Diane Francis: Canada economic road Diane Francis: Trumpism threat world world better Diane Francis: If Ottawa wont listen West resources, West stop listening Ottawa Diane Francis: Canada LNG giant Liberals screwed Diane Francis: The inevitable Trudeau recession ravage West middle class Diane Francis: Trudeaus ridiculous, holierthanthou climate policies making emissions worse Top Stories Trade deals saving Canadian exporters death thousand regulations abroad home European exports Canada soared CETA, regulatory barriers block trade direction Posthaste: Two Canadian pipelines capacity 1.3M bpd courts week time Stuff need know WatchCiti cuts oil price forecast 18 Coronavirus fears Prices expected low quarters Focus housing supply, mortgage stress test, says Scotiabank CEO Everybody wants talk demand looking supply Comments Postmedia committed maintaining lively civil forum discussion encourage readers share views articles. Comments hour moderation appearing site. We ask comments relevant respectful. We enabled email notificationsyou receive email receive reply comment, update comment thread follow user follow comments. Visit community guidelines information details adjust email settings. Sign Comment ClassifiedsRememberingCelebratingClassifieds MarketplaceCareersFlyerCityPost Classifieds adAdvertise With UsPartnershipsAppointment NoticeResourcesContent WorksSales DirectoryMy Accountr SelfServeePaper Stay Connected 2020 Financial Post, division Postmedia Network . . Unauthorized distribution, transmission republication strictly prohibited. Powered VIP 365 Bloor St East, Toronto, ON, M4W3L4, Privacy Updated Terms Digital Ad Registry Site Map Us | 2,020 | [
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] | 1 | NEGATIVE | 77 |
http://galusaustralis.com/2020/02/489536/top-companies-analysis-in-ai-in-drug-discovery-market-2019-by-atomwise-inc-benevolentai-bio-age-cloud-pharmaceuticals-inc/ | 2020-02-27T00:00:00 | en | Top Companies Analysis in AI in Drug Discovery Market 2019 by Atomwise Inc, BenevolentAI, Bio age, Cloud Pharmaceuticals Inc – Galus Australis | Top Companies Analysis in AI in Drug Discovery Market 2019 by Atomwise Inc, BenevolentAI, Bio age, Cloud Pharmaceuticals Inc – Galus Australis
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Home/Business/Top Companies Analysis in AI in Drug Discovery Market 2019 by Atomwise Inc, BenevolentAI, Bio age, Cloud Pharmaceuticals Inc BusinessTop Companies Analysis in AI in Drug Discovery Market 2019 by Atomwise Inc, BenevolentAI, Bio age, Cloud Pharmaceuticals Inc
milind
February 26, 2020
Facts & Factors. A leading market research firm published the latest report on “AI in Drug Discovery Market By Drug Type (Small Molecule and Large Molecule), By Technology (Deep Learning, Machine Learning, Others), By End User (Pharmaceutical Atomwise Inc, BenevolentAI, Bio age, Cloud Pharmaceuticals Inc, Exscientia Ltd, Insilico Medicine Inc, Numerate Inc, Envisagenics Inc, Two XAR Inc, Accutar Biotechnology Inc, Recursion Pharmaceuticals Inc, Silicon Therapeutics LLC, AstraZeneca PLC, Biopharmaceutical Atomwise Inc, BenevolentAI, Bio age, Cloud Pharmaceuticals Inc, Exscientia Ltd, Insilico Medicine Inc, Numerate Inc, Envisagenics Inc, Two XAR Inc, Accutar Biotechnology Inc, Recursion Pharmaceuticals Inc, Silicon Therapeutics LLC, AstraZeneca PLC, Academic & Research Institutes, and Others), By Therapeutic Area (Metabolic Diseases, Cardiovascular Diseases, Immuno-Oncology, Oncology, Neurodegenerative Diseases, Others): Global Industry Perspective, Comprehensive Analysis, and Forecast, 2020–2026” which includes 110+ research pages for the forecast period. The AI in Drug Discovery market report offers comprehensive research updates and information related to market growth, demand, and opportunities in the global AI in Drug Discovery Market.The global AI in Drug Discovery market research report thoroughly explains each and every aspect related to the AI in Drug Discovery market, which facilitates the report’s reader to study and evaluate the upcoming market trend and execute the analytical data to promote the business. The growth trend forecasted on account of thorough examination offers in-depth information regarding the global AI in Drug Discovery market. A pathway of development is offered by the market to the several connected networks of businesses under it, which include different firms, industries, organizations, vendors, distributors, and local manufacturers too. All the key market players compete with each other by offering better products and services at a reasonable price in order to grab significant share at the regional and global level market.Request Free Sample Copy of AI in Drug Discovery Market Research Report @ https://www.fnfresearch.com/sample/ai-in-drug-discovery-market(The sample of this report is readily available on request).This Free report sample includes:A brief introduction to the research report.Graphical introduction of the regional analysis.Top players in the market with their revenue analysis.Selected illustrations of market insights and trends.Example pages from the report.FnF research methodology.This report demonstrates the fundamental review of the large global AI in Drug Discoveryindustry along with its application, embracing, definitions, and evaluation. It also highlights the authorized facts and figures of the global market. The requirement ratio and technology development are also covered in the global AI in Drug Discovery market report.The global AI in Drug Discovery market report delivers the analytical data in a comprehensible way by segmenting the AI in Drug Discoverymarket into different divisions. The report specifically enlightens the factors that may considerably accelerate or plunge the market growth. Based on these factors, earlier growth trend followed by the market, the current status, and the future trend to be followed by the market can be predicted.Inquire more about this report before purchase @ https://www.fnfresearch.com/inquiry/ai-in-drug-discovery-market(You may enquire a reported quote OR available discount offers to our sales team before purchase.)Some of Major Market Player Profiles Included in this Report Are:Atomwise Inc, BenevolentAI, Bio age, Cloud Pharmaceuticals Inc, Exscientia Ltd, Insilico Medicine Inc, Numerate Inc, Envisagenics Inc, Two XAR Inc, Accutar Biotechnology Inc, Recursion Pharmaceuticals Inc, Silicon Therapeutics LLC, AstraZeneca PLCThe global AI in Drug Discovery market report also comprises detailed information about the market segmentation on a regional basis. The report incorporates an estimated impact of strict standards and regulations set by the government over the market in the upcoming years. The market report also comprises exhaustive research done using several analytical tools such as SWOT analysis to identify the market growth pattern.The AI in Drug Discovery report is an inclusive study of the market, which provides sufficient knowledge to the clients for efficient decision-making with the aim of expanding business considerably in the market. With the help of statistical graphs, figures, flow charts, and real examples, the report represents the analytical data in an efficient way, which would be easily understandable for the readers even by going through the report.Request Customized Copy of Report @ https://www.fnfresearch.com/customization/ai-in-drug-discovery-market(We customize your report according to your research need. Ask our sales team for report customization).Available Customization Options:The AI in Drug Discovery Market can be customized to the country level or any other market segment. Besides this, Report understands that you may have your own business need, hence we also provide fully customized solutions to clients.Additionally, the report comprises the overall business chain, through which the growth rate and deterioration rate of the specific industry in the market can be analyzed. The total cost spent on manufacturing the product and analysis of its assembling procedure is also described in the report.Along with this, the global AI in Drug Discovery market report also provides the discussion over the market economy regarding the total revenue generation by the market at the global level, along with the manufacturing techniques and cost, demand, and supply of a generated product or offered services, capacity, consumption, and other related information.Regions and Countries Level AnalysisRegional analysis is another highly comprehensive part of the research and analysis study of the global Frying Pan market presented in the report. This section sheds light on the sales growth of different regional and country-level Frying Pan markets. For the historical and forecast period 2015 to 2025, it provides detailed and accurate country-wise volume analysis and region-wise market size analysis of the AI in Drug Discovery market.Competitive Landscape and AI in Drug Discovery Market Share AnalysisAI in Drug Discovery competitive landscape provides details by vendors, including company overview, company total revenue (financials), market potential, global presence, AI in Drug Discovery sales and revenue generated, market share, price, production sites and facilities, SWOT analysis, product launch. For the period 2015-2020, this study provides the AI in Drug Discovery sales, revenue, and market share for each player covered in this report.Report BriefThe report covers forecast and analysis for the AI in Drug Discovery market on a global and regional level.The report includes the drivers and the restraints that affect the growth of the market.Detailed information about market opportunities is discussed.The key target audience for the market has been determined in the report.The revenue generated by the prominent industry players has been analyzed in the report.The market numbers have been calculated using top-down and bottom-up approaches.The AI in Drug Discovery market size and trends have been analyzed using Porter’s Five Forces Analysis.About Us:Facts & Factors is a leading market research organization offering industry expertise and scrupulous consulting services to clients for their business development. The reports and services offered by Facts and Factors are used by prestigious academic institutions, start-ups, and companies globally to measure and understand the changing international and regional business backgrounds. Our client’s/customer’s conviction on our solutions and services has pushed us in delivering always the best. Our advanced research solutions have helped them inappropriate decision-making and guidance for strategies to expand their business. Contact Us:Facts & FactorsGlobal HeadquartersLevel 8, International Finance Center, Tower 2,8 Century Avenue, Shanghai,Postal – 200120, ChinaTel: +86 21 80360450Email: [email protected]Web: https://www.fnfresearch.com TagsAI in Drug Discovery Global AI in Drug Discovery Market Facebook Twitter Google+ LinkedIn StumbleUpon Tumblr Pinterest Reddit VKontakte Share via Email Print
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February 26, 2020Top Companies Analysis in Perfluoropolyether (PFPE) Market 2019 by SOLVAY, Dow Corning, Nye Lubricants, IKV Tribology, Dupont (Chemours)
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| Top Companies Analysis in AI in Drug Discovery Market 2019 by Atomwise Inc, BenevolentAI, Bio age, Cloud Pharmaceuticals Inc | Top Companies Analysis AI Drug Discovery Market 2019 Atomwise , BenevolentAI, Bio age, Cloud Pharmaceuticals Galus Australis Galus Australis BusinessGeneral NewsHealthcareIndustryInternationalLifestyleSciTech Thursday, February 27 2020 Trending Global Total Chlorine Analyzers Market 20172026 Emerson, Hach, WTW Xylem, Analytical Technology, .ATI Global Noncrystallized PET Preform Market 2020 RETAL, Plastipak, Hon, Chuan Group, Resilux NV General Lighting Market 2020 Latest Advancements Growing Business Opportunities Global Barrier Enhanced PET Preform Market 2020 RETAL, Plastipak, Hon, Chuan Group, Resilux NV Global Ultrasonic Humidifiers Market 20172026 Honeywell, Air Innovations, Crane, Optimus, SPT Global Noncrystallized PET Preforms Market 2020 Retal, Plastipak, Hon, Chuan Group, Resilux Global GCC Countries Bionic Eye Market 2020 Retina Implant AG, Bionic Vision, Australia, THE BIONIC EYE, Pixium Vision Global Vaccum Evaporators Market 20172026 JBT Corporation, Gardner Denver Welch, Labconco, Condorchem Envitech, Lenntech Global Sample Splitters Market 2020 Retsch, Fritsch, Gamet, Beijing Grinder instrument equipment, Gilson Global Dairy Separator Market 20172026 Tetra Pak, GEA, Krones, SPX FLOW, Alfa Laval HomeBusinessTop Companies Analysis AI Drug Discovery Market 2019 Atomwise , BenevolentAI, Bio age, Cloud Pharmaceuticals BusinessTop Companies Analysis AI Drug Discovery Market 2019 Atomwise , BenevolentAI, Bio age, Cloud Pharmaceuticals milind February 26, 2020 Facts Factors. A leading market research firm published latest report AI Drug Discovery Market By Drug Type Small Molecule Large Molecule, By Technology Deep Learning, Machine Learning, Others, By End User Pharmaceutical Atomwise , BenevolentAI, Bio age, Cloud Pharmaceuticals , Exscientia Ltd, Insilico Medicine , Numerate , Envisagenics , Two XAR , Accutar Biotechnology , Recursion Pharmaceuticals , Silicon Therapeutics LLC, AstraZeneca PLC, Biopharmaceutical Atomwise , BenevolentAI, Bio age, Cloud Pharmaceuticals , Exscientia Ltd, Insilico Medicine , Numerate , Envisagenics , Two XAR , Accutar Biotechnology , Recursion Pharmaceuticals , Silicon Therapeutics LLC, AstraZeneca PLC, Academic Research Institutes, Others, By Therapeutic Area Metabolic Diseases, Cardiovascular Diseases, ImmunoOncology, Oncology, Neurodegenerative Diseases, Others: Global Industry Perspective, Comprehensive Analysis, Forecast, 20202026 includes 110 research forecast period. The AI Drug Discovery market report offers comprehensive research updates information related market growth, demand, opportunities global AI Drug Discovery Market.The global AI Drug Discovery market research report thoroughly explains aspect related AI Drug Discovery market, facilitates reports reader study evaluate upcoming market trend execute analytical data promote business. The growth trend forecasted account thorough examination offers indepth information global AI Drug Discovery market. A pathway development offered market connected networks businesses it, include different firms, industries, organizations, vendors, distributors, local manufacturers too. All key market players compete offering better products services reasonable price order grab significant share regional global level market.Request Free Sample Copy AI Drug Discovery Market Research Report @ sample report readily available request.This Free report sample includes:A brief introduction research report.Graphical introduction regional analysis.Top players market revenue analysis.Selected illustrations market insights trends.Example report.FnF research methodology.This report demonstrates fundamental review large global AI Drug Discoveryindustry application, embracing, definitions, evaluation. It highlights authorized facts figures global market. The requirement ratio technology development covered global AI Drug Discovery market report.The global AI Drug Discovery market report delivers analytical data comprehensible way segmenting AI Drug Discoverymarket different divisions. The report specifically enlightens factors considerably accelerate plunge market growth. Based factors, earlier growth trend followed market, current status, future trend followed market predicted.Inquire report purchase @ enquire reported quote OR available discount offers sales team purchase.Some Major Market Player Profilesludedin Report Are:Atomwise , BenevolentAI, Bio age, Cloud Pharmaceuticals , Exscientia Ltd, Insilico Medicine , Numerate , Envisagenics , Two XAR , Accutar Biotechnology , Recursion Pharmaceuticals , Silicon Therapeutics LLC, AstraZeneca PLCThe global AI Drug Discovery market report comprises detailed information market segmentation regional basis. The report incorporates estimated impact strict standards regulations set government market upcoming years. The market report comprises exhaustive research analytical tools SWOT analysis identify market growth pattern.The AI Drug Discovery report inclusive study market, provides sufficient knowledge clients efficient decisionmaking aim expanding business considerably market. With help statistical graphs, figures, flow charts, real examples, report represents analytical data efficient way, easily understandable readers going report.Request Customized Copy Report @ customize report according research need. Ask sales team report customization.Available Customization Options:The AI Drug Discovery Market customized country level market segment. Besides this, Report understands business need, provide fully customized solutions clients.Additionally, report comprises overall business chain, growth rate deterioration rate specific industry market analyzed. The total cost spent manufacturing product analysis assembling procedure described report.Along this, global AI Drug Discovery market report provides discussion market economy total revenue generation market global level, manufacturing techniques cost, demand, supply generated product offered services, capacity, consumption, related information.Regions Countries Level AnalysisRegional analysis highly comprehensive research analysis study global Frying Pan market presented report. This section sheds light sales growth different regional countrylevel Frying Pan markets. For historical forecast period 2015 2025, provides detailed accurate countrywise volume analysis regionwise market size analysis AI Drug Discovery market.Competitive Landscape AI Drug Discovery Market Share AnalysisAI Drug Discovery competitive landscape provides details vendors, including company overview, company total revenue financials, market potential, global presence, AI Drug Discovery sales revenue generated, market share, price, production sites facilities, SWOT analysis, product launch. For period 20152020, study provides AI Drug Discovery sales, revenue, market share player covered report.Report BriefThe report covers forecast analysis AI Drug Discovery market global regional level.The report includes drivers restraints affect growth market.Detailed information market opportunities discussed.The key target audience market determined report.The revenue generated prominent industry players analyzed report.The market numbers calculated topdown bottomup approaches.The AI Drug Discovery market size trends havebeen analyzed Porters Five Forces Analysis.:Facts Factors leading market research organization offering industry expertise scrupulous consulting services clients business development. The reports services offered Facts Factors prestigious academic institutions, startups, companies globally measure understand changing international regional business backgrounds. Our clientscustomers conviction solutions services pushed delivering best. Our advanced research solutions helped inappropriate decisionmaking guidance strategies expand business. Us:Facts FactorsGlobal HeadquartersLevel 8, International Finance Center, Tower 2,8 Century Avenue, Shanghai,Postal 200120, ChinaTel: 86 21 80360450Email: [emailprotected]Web: TagsAI Drug Discovery Global AI Drug Discovery Market Facebook Twitter Google LinkedIn StumbleUpon Tumblr Pinterest Reddit VKontakte Share Email Print milindRelated Articles February 24, 2020 3 Global Litigation Funding Investment Market Research Report 2020 Regional Trends, Volume Size Share, Review Industry Research Expert February 25, 2020 1 Cell Culture Media Market Top Industry Trends Segments Forecast 20202027 February 19, 2020 8 Knowledge Management Financial Market Size, Share Insights Emerging Trends 2027 February 14, 2020 7 Wheelchair Accessible Vehicle Converters Market Status Forecast 20182025Recent News February 26, 2020Top Companies Analysis RFID Healthcare Market 2019 IBM, Palex Medical SA, Zebra Technologies Corporation, Siemens February 26, 2020Top Companies Analysis Industrial Tape Market 2019 SaintGobain SA, Avery Dennison Corporation, Lintec, Von Roll Holding AG, 3M February 26, 2020Top Companies Analysis Early Childhood Education Market 2019 XUEDA, Famly, Scoyo, Ambow Education Holding, Kindertales February 26, 2020Top Companies Analysis Graph Database Market 2019 Oracle, International Business Machines Corporation, Neo Technology, ., OrientDB February 26, 2020Top Companies Analysis Pomegranate Market 2019 Lakewood, Minute Maid, POM Wonderful, Ocean Spray, Jale February 26, 2020Top Companies Analysis Pasteurized Eggs Market 2019 Willamette Egg Farms, Michael Foods, . February 26, 2020Top Companies Analysis SunProtective Clothing Market 2019 Marmot, The North Face, Hanes, Eddie Bauer, Adidas February 26, 2020Top Companies Analysis Rolling Stock Market 2019 CRRC Corporation Limited, Bombardier , Alstom SA, General Electric Co, Siemens AG February 26, 2020Top Companies Analysis Perfluoropolyether PFPE Market 2019 SOLVAY, Dow Corning, Nye Lubricants, IKV Tribology, Dupont Chemours February 26, 2020Top Companies Analysis North America Bin Liners Market 2019 Glad Clorox, Berry Plastics, PolyAmerica, Novolex Facebook Twitter WhatsApp Telegram Close for: Close Log In Forget? Remember Log In | 2,020 | [
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https://fnbherald.com/2020/01/15/global-digital-ultrasound-system-market-data-analysis-2019-2025-ge-healthcare-terumo-corporation-mindray-bard-access-systems/ | 2020-01-15T00:00:00 | en | Global Digital Ultrasound System Market Data Analysis 2019-2025 GE Healthcare, TERUMO CORPORATION, Mindray, BARD Access Systems – Food & Beverage Herald |
Global Digital Ultrasound System Market Data Analysis 2019-2025 GE Healthcare, TERUMO CORPORATION, Mindray, BARD Access Systems – Food & Beverage Herald
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Global Digital Ultrasound System Market Data Analysis 2019-2025 GE Healthcare, TERUMO CORPORATION, Mindray, BARD Access Systems
richard.s January 15, 2020
The report on the Global Digital Ultrasound System market offers complete data on the Digital Ultrasound System market. Components, for example, main players, analysis, size, situation of the business, SWOT analysis, and best patterns in the market are included in the report. In addition to this, the report sports numbers, tables, and charts that offer a clear viewpoint of the Digital Ultrasound System market. The top contenders GE Healthcare, TERUMO CORPORATION, Mindray, BARD Access Systems, Boston Scientific, Caresono, Advanced Instrumentations, Accutome, Terason, Welld, Tianjin Suowei Electronic Technology, CHISON Medical Imaging, Promed Group, Xuzhou Kaixin Electronic Instrument, Alpinion Medical Systems, BENQ Medical Technology, Biocare of the global Digital Ultrasound System market are further covered in the report .
Access to the sample pages of the report at: http://www.extentresearch.com/request-for-sample.html?repid=17442
The report also segments the global Digital Ultrasound System market based on product mode and segmentation Handheld, Stationary. The study includes a profound summary of the key sectors and the segments Abdomen, Obsterics, Gynecology, Urology, Vascular, Small Parts, Pediatrics, Cardiology, Other of the Digital Ultrasound System market. Both quickly and slowly growing sectors of the market have been examined via this study. Forecast, share of the market, and size of each segment and sub-segment is obtainable in the study. The key up-and-coming chances associated to the most quickly growing segments of the Digital Ultrasound System market are also a part of the report. The main regions covered in the report are North America, Europe, Asia Pacific, Latin America, and Middle East and Africa.
The latest data has been presented in the study on the revenue numbers, product details, and sales of the major firms. In addition to this, the information also comprises the breakdown of the revenue for the global Digital Ultrasound System market in addition to claiming a forecast for the same in the estimated timeframe. The vital business strategies acknowledged by the important individuals from the Digital Ultrasound System market have likewise been coordinated in the report. Key shortcomings and strengths, in addition to claiming the risks experienced by the main contenders in the Digital Ultrasound System market, have been a fraction of this research study. The report also examines the industry in terms of revenue [Million USD] and volume [k MT]. The Digital Ultrasound System market report History Year: 2013-2017 Base Year: 2017 Estimated Year: 2018 Forecast Year 2018 to 2025.
Read Full Report Here @ http://www.extentresearch.com/global-digital-ultrasound-system-market-2018-industry-research.html
TOC of Report Contains 15 Sections which Clarifies Global Digital Ultrasound System Market Quickly are:
Sections 1. Industry Synopsis of Global Digital Ultrasound System Market.
Sections 2. Digital Ultrasound System Market Size by Type and Application.
Sections 3. Digital Ultrasound System Market Organization Producers analysis and Profiles.
Sections 4. Global Digital Ultrasound System Market 2018 Analysis by key traders.
Sections 5. Development Status and Outlook of Digital Ultrasound System Market in the United States.
Sections 6. Europe Digital Ultrasound System Industry Report Development Status and Outlook.
Sections 7. Japan Digital Ultrasound System Industry Report Development Status and Outlook.
Sections 8. China Digital Ultrasound System Market Report Development Status and Outlook.
Sections 9. India Digital Ultrasound System Market Development Status and Outlook.
Sections 10. Southeast Asia Digital Ultrasound System Market Improvement Status and Outlook.
Sections 11. Digital Ultrasound System Market Figure by Areas, Applications, and Sorts (2018-2023)
Sections 12. Digital Ultrasound System Market Dynamics.
Sections 13. Digital Ultrasound System Market Factors Analysis
Sections 14. Research Findings and Conclusions of Digital Ultrasound System Market.
Sections 15. Appendix.
The report on the global Digital Ultrasound System market furthermore offers a chronological factsheet relating to the strategically mergers, acquirements, joint venture activities, and partnerships widespread in the Digital Ultrasound System market. Amazing recommendations by senior specialists on strategically spending in innovative work may help best in class contestants and in addition trustworthy organizations for improved invasion in the creating portions of the Global Digital Ultrasound System Market Market players might accomplish a clear perception of the main rivals in the Digital Ultrasound System market in addition to their future forecasts.
Do Inquiry For Global Digital Ultrasound System Market Report At: http://www.extentresearch.com/inquiry-for-buying.html?repid=17442
Global Digital Ultrasound System Report mainly covers the following:
1- Digital Ultrasound System Industry Overview
2- Region and Country Digital Ultrasound System Market Analysis
3- Digital Ultrasound System Technical Data and Manufacturing Plants Analysis
4- Production by Regions by Technology by Digital Ultrasound System Applications
5- Digital Ultrasound System Manufacturing Process and Cost Structure
6- Productions Supply Sales Demand Market Status and Digital Ultrasound System Market Forecast
7- Key success factors and Digital Ultrasound System Market Share Overview
8- Digital Ultrasound System Research Methodology
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| Global Digital Ultrasound System Market Data Analysis 2019-2025 GE Healthcare, TERUMO CORPORATION, Mindray, BARD Access Systems | Global Digital Ultrasound System Market Data Analysis 20192025 GE Healthcare, TERUMO CORPORATION, Mindray, BARD Access Systems Food Beverage Herald Skip content Menu Our Staff Us Menu General News NASA Energy Rockets Launches Satellites Green Electric Flash News Global Aircraft Clocks Market 2020 By Segment Forecasts 2025 REVUE THOMMEN, GORGY TIMING, COBHAM, etc. Global Flavonoids Market Research Report 2020 Global Single Crystal Diamond Market 2019 2024 DNA Sequencing Equipment Market Report 2020 Industry Capacity, Volume Value, Manufacture, Consumption, Status Forecast 2026 Research Industry US Growth Egg Protein Market Global Industry: Overview, Size Share 20202028 Global Travelers Vaccines Market 2019 2024 Food Beverage Herald Market Research Reports Menu Our Staff Us Wednesday, January 15, 2020 Menu General News NASA Energy Rockets Launches Satellites Green Electric Business General News Market Updates Global Digital Ultrasound System Market Data Analysis 20192025 GE Healthcare, TERUMO CORPORATION, Mindray, BARD Access Systems richard.s January 15, 2020 The report GlobalDigital Ultrasound Systemmarket offers complete data Digital Ultrasound System market. Components, example, main players, analysis, size, situation business, SWOT analysis, best patterns market included report. In addition this, report sports numbers, tables, charts offer clear viewpoint Digital Ultrasound System market. Thetop contendersGE Healthcare, TERUMO CORPORATION, Mindray, BARD Access Systems, Boston Scientific, Caresono, Advanced Instrumentations, Accutome, Terason, Welld, Tianjin Suowei Electronic Technology, CHISON Medical Imaging, Promed Group, Xuzhou Kaixin Electronic Instrument, Alpinion Medical Systems, BENQ Medical Technology, Biocare global Digital Ultrasound System market covered report . Access sample report at: The report segments global Digital Ultrasound System market based onproductmode segmentation Handheld, Stationary. The study includes profound summary key sectors thesegmentsAbdomen, Obsterics, Gynecology, Urology, Vascular, Small Parts, Pediatrics, Cardiology, Other Digital Ultrasound System market. Both quickly slowly growing sectors market examined study. Forecast, share market, size segment subsegment obtainable study. The key upandcoming chances associated quickly growing segments theDigital Ultrasound System marketare report. The main regions covered report North America, Europe, Asia Pacific, Latin America, Middle East Africa. The latest data presented study revenue numbers, product details, sales major firms. In addition this, information comprises breakdown revenue global Digital Ultrasound System market addition claiming forecast estimated timeframe. The vital business strategies acknowledged important individuals Digital Ultrasound System market likewise coordinated report. Key shortcomings strengths, addition claiming risks experienced main contenders Digital Ultrasound System market, fraction research study. The report examines industry terms revenue [Million USD] volume [k MT]. TheDigital Ultrasound System market reportHistory Year: 20132017 Base Year: 2017Estimated Year: 2018 Forecast Year 2018 2025. Read Full Report Here@ TOC Report Contains 15 Sections Clarifies Global Digital Ultrasound System Market Quickly are: Sections 1. Industry Synopsis Global Digital Ultrasound System Market. Sections 2. Digital Ultrasound System Market Size Type Application. Sections 3. Digital Ultrasound System Market Organization Producers analysis Profiles. Sections 4. Global Digital Ultrasound System Market 2018 Analysis key traders. Sections 5. Development Status Outlook Digital Ultrasound System Market United States. Sections 6. Europe Digital Ultrasound System Industry Report Development Status Outlook. Sections 7. Japan Digital Ultrasound System Industry Report Development Status Outlook. Sections 8. China Digital Ultrasound System Market Report Development Status Outlook. Sections 9. India Digital Ultrasound System Market Development Status Outlook. Sections 10. Southeast Asia Digital Ultrasound System Market Improvement Status Outlook. Sections 11. Digital Ultrasound System Market Figure Areas, Applications, Sorts 20182023 Sections 12. Digital Ultrasound System Market Dynamics. Sections 13. Digital Ultrasound System Market Factors Analysis Sections 14. Research Findings Conclusions Digital Ultrasound System Market. Sections 15. Appendix. The report global Digital Ultrasound System market furthermore offers chronological factsheet relating strategically mergers, acquirements, joint venture activities, partnerships widespread Digital Ultrasound System market. Amazing recommendations senior specialists strategically spending innovative work help best class contestants addition trustworthy organizations improved invasion creating portions Global Digital Ultrasound System Market Market players accomplish clear perception main rivals Digital Ultrasound System market addition future forecasts. Do Inquiry For Global Digital Ultrasound System Market Report At: Global Digital Ultrasound System Report mainly covers following: 1 Digital Ultrasound System Industry Overview 2 Region Country Digital Ultrasound System Market Analysis 3 Digital Ultrasound System Technical Data Manufacturing Plants Analysis 4 Production Regions Technology Digital Ultrasound System Applications 5 Digital Ultrasound System Manufacturing Process Cost Structure 6 Productions Supply Sales Demand Market Status Digital Ultrasound System Market Forecast 7 Key success factors Digital Ultrasound System Market Share Overview 8 Digital Ultrasound System Research Methodology Extent Research provides market research reports industries, individuals organizations objective helping decision making process. Our library includes industry country research reports covering micro markets. This comprehensive collection market research reports include market share analysis, industry analysis, information products, countries, market size, trends, business research details This post originally published Food Beverage Herald Digital Ultrasound System MarketDigital Ultrasound System Market 2019Digital Ultrasound System Market GrowthDigital Ultrasound System Market SizeGlobal Digital Ultrasound System Market Post navigation Growth Corn Oil Market Global Industry: Overview, Size Share 20202028Global DNA Testing Kits Market Data Analysis 20192025 Ancestry, SwabTest, Paternity Depot, Home DNA, Identigene, National Geography Leave Reply Cancel replyYour email address published. Required fields marked Comment Name Email Website Save name, email, website browser time I comment. Recent Posts Global Aircraft Clocks Market 2020 By Segment Forecasts 2025 REVUE THOMMEN, GORGY TIMING, COBHAM, etc. Global Flavonoids Market Research Report 2020 Global Single Crystal Diamond Market 2019 2024 DNA Sequencing Equipment Market Report 2020 Industry Capacity, Volume Value, Manufacture, Consumption, Status Forecast 2026 Research Industry US Growth Egg Protein Market Global Industry: Overview, Size Share 20202028 Our Staff Us Proudly powered WordPress Theme: FreeNews By . Go Top | 2,020 | [
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Artificial Intelligence in Retail Market 2020 | Applications, Challenges, Growth, Shares, Trends and Forecast To 2026
May 2, 2020 Verified Market Research
The report on the Artificial Intelligence in Retail Market is a compilation of intelligent, broad research studies that will help players and stakeholders to make informed business decisions in future. It offers specific and reliable recommendations for players to better tackle challenges in the Artificial Intelligence in Retail market. Furthermore, it comes out as a powerful resource providing up to date and verified information and data on various aspects of the Artificial Intelligence in Retail market. Readers will be able to gain deeper understanding of the competitive landscape and its future scenarios, crucial dynamics, and leading segments of the Artificial Intelligence in Retail market. Buyers of the report will have access to accurate PESTLE, SWOT, and other types of analysis on the Artificial Intelligence in Retail market.
Global Artificial Intelligence in Retail Market was valued at USD 1.32 Billion in 2018 and is projected to reach USD 17.01 Billion by 2026, growing at a CAGR of 37.6 % from 2019 to 2026.
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Popular Players
Competition is a major subject in any market research analysis. With the help of the competitive analysis provided in the report, players can easily study key strategies adopted by leading players of the Artificial Intelligence in Retail market. They will also be able to plan counterstrategies to gain a competitive advantage in the Artificial Intelligence in Retail market. Major as well as emerging players of the Artificial Intelligence in Retail market are closely studied taking into consideration their market share, production, revenue, sales growth, gross margin, product portfolio, and other significant factors. This will help players to become familiar with the moves of their toughest competitors in the Artificial Intelligence in Retail market.
The report is just the right tool that players need to strengthen their position in the Artificial Intelligence in Retail market. It is also the perfect resource that will help players to sustain their lead or achieve a competitive position in the Artificial Intelligence in Retail market.
Key Players Mentioned in the Artificial Intelligence in Retail Market Research Report:
Salesforce
IBM Corporation
Amazon Web Services
Sentient technologies
Oracle
SAP
Intel
NVIDIA
Google
Microsoft Corporation and ViSenze
Top Segments
The segmental analysis section of the report includes a thorough research study on key type and application segments of the Artificial Intelligence in Retail market. All of the segments considered for the study are analyzed in quite some detail on the basis of market share, growth rate, recent developments, technology, and other critical factors. The segmental analysis provided in the report will help players to identify high-growth segments of the Artificial Intelligence in Retail market and clearly understand their growth journey.
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Leading Regions
The authors of the report have analyzed both developing and developed regions considered for the research and analysis of the Artificial Intelligence in Retail market. The regional analysis section of the report provides an extensive research study on different regional and country-wise Artificial Intelligence in Retail markets to help players plan effective expansion strategies. Moreover, it offers highly accurate estimations on the CAGR, market share, and market size of key regions and countries. Players can use this study to explore untapped Artificial Intelligence in Retail markets to extend their reach and create sales opportunities.
The Middle East and Africa (GCC Countries and Egypt)
North America (the United States, Mexico, and Canada)
South America (Brazil etc.)
Europe (Turkey, Germany, Russia UK, Italy, France, etc.)
Asia-Pacific (Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia)
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Highlights of the Report
Accurate market size and CAGR forecasts for the period 2020-2026
Identification and in-depth assessment of growth opportunities in key segments and regions
Detailed company profiling of top players of the Artificial Intelligence in Retail market
Exhaustive research on innovation and other trends of the Artificial Intelligence in Retail market
Reliable industry value chain and supply chain analysis
Comprehensive analysis of important growth drivers, restraints, challenges, and growth prospects
About Us:
Verified market research partners with clients to provide insight into strategic and growth analytics; data that help achieve business goals and targets. Our core values include trust, integrity, and authenticity for our clients.
Analysts with high expertise in data gathering and governance utilize industry techniques to collate and examine data at all stages. Our analysts are trained to combine modern data collection techniques, superior research methodology, subject expertise and years of collective experience to produce informative and accurate research reports.
Contact Us:
Mr. Edwyne FernandesCall: +1 (650) 781 4080Email: [email protected]
TAGS: Artificial Intelligence in Retail Market Size, Artificial Intelligence in Retail Market Growth, Artificial Intelligence in Retail Market Forecast, Artificial Intelligence in Retail Market Analysis, Artificial Intelligence in Retail Market Trends, Artificial Intelligence in Retail Market
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| Artificial Intelligence in Retail Market 2020 | Artificial Intelligence Retail Market 2020 Applications, Challenges, Growth, Shares, Trends Forecast To 2026 Packaging News 24 Skip content Saturday, May 2, 2020 Our Team Us Packaging News 24 Packaging Market Research Reports Home Industry Report Market Report Industry Analytics Market Analytics Market Outlook Market Research Future Demands Market Study Opportunities Forecast You hereHomeUncategorizedArtificial Intelligence Retail Market 2020 Applications, Challenges, Growth, Shares, Trends Forecast To 2026 Artificial Intelligence Retail Market 2020 Applications, Challenges, Growth, Shares, Trends Forecast To 2026 May 2, 2020 Verified Market Research The report Artificial Intelligence Retail Market compilation intelligent, broad research studies help players stakeholders informed business decisions future. It offers specific reliable recommendations players better tackle challenges Artificial Intelligence Retail market. Furthermore, comes powerful resource providing date verified information data aspects Artificial Intelligence Retail market. Readers able gain deeper understanding competitive landscape future scenarios, crucial dynamics, leading segments Artificial Intelligence Retail market. Buyers report access accurate PESTLE, SWOT, types analysis Artificial Intelligence Retail market. Global Artificial Intelligence Retail Market valued USD 1.32 Billion 2018 projected reach USD 17.01 Billion 2026, growing CAGR 37.6 2019 2026. Get Download Sample Copy @ Popular Players Competition major subject market research analysis. With help competitive analysis provided report, players easily study key strategies adopted leading players Artificial Intelligence Retail market. They able plan counterstrategies gain competitive advantage Artificial Intelligence Retail market. Major emerging players Artificial Intelligence Retail market closely studied taking consideration market share, production, revenue, sales growth, gross margin, product portfolio, significant factors. This help players familiar moves toughest competitors Artificial Intelligence Retail market. The report right tool players need strengthen position Artificial Intelligence Retail market. It perfect resource help players sustain lead achieve competitive position Artificial Intelligence Retail market. Key Players Mentioned Artificial Intelligence Retail Market Research Report: Salesforce IBM Corporation Amazon Web Services Sentient technologies Oracle SAP Intel NVIDIA Google Microsoft Corporation ViSenze Top Segments The segmental analysis section report includes thorough research study key type application segments Artificial Intelligence Retail market. All segments considered study analyzed basis market share, growth rate, recent developments, technology, critical factors. The segmental analysis provided report help players identify highgrowth segments Artificial Intelligence Retail market clearly understand growth journey. Ask Discount @ Leading Regions The authors report analyzed developing developed regions considered research analysis Artificial Intelligence Retail market. The regional analysis section report provides extensive research study different regional countrywise Artificial Intelligence Retail markets help players plan effective expansion strategies. Moreover, offers highly accurate estimations CAGR, market share, market size key regions countries. Players use study explore untapped Artificial Intelligence Retail markets extend reach create sales opportunities. The Middle East Africa GCC Countries Egypt North America United States, Mexico, Canada South America Brazil etc. Europe Turkey, Germany, Russia UK, Italy, France, etc. AsiaPacific Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, Australia Get Customized Report Inbox 24 hours @ Highlights Report Accurate market size CAGR forecasts period 20202026 Identification indepth assessment growth opportunities key segments regions Detailed company profiling players Artificial Intelligence Retail market Exhaustive research innovation trends Artificial Intelligence Retail market Reliable industry value chain supply chain analysis Comprehensive analysis important growth drivers, restraints, challenges, growth prospects : Verified market research partners clients provide insight strategic growth analytics; data help achieve business goals targets. Our core values include trust, integrity, authenticity clients. Analysts high expertise data gathering governance utilize industry techniques collate examine data stages. Our analysts trained combine modern data collection techniques, superior research methodology, subject expertise years collective experience produce informative accurate research reports. Us: Mr. Edwyne FernandesCall: 1 650 781 4080Email: [emailprotected] TAGS: Artificial Intelligence Retail Market Size, Artificial Intelligence Retail Market Growth, Artificial Intelligence Retail Market Forecast, Artificial Intelligence Retail Market Analysis, Artificial Intelligence Retail Market Trends, Artificial Intelligence Retail Market Post navigation Complete growth overview Decal Paper Market including Key Vendors, Production Technology And Market Growth StrategiesGlobal DeNOx Catalyst Market Type Honeycomb Flat, By Application Power Plant, Cement Plant, Steel Plant Others, By Region Key Companies Industry Segment Outlook, Market Assessment, Competition Scenario, Trends Forecast 20192028 Related posts Blockchain Agriculture Market 2020 Applications, Challenges, Growth, Shares, Trends Forecast To 2026 May 2, 2020 Verified Market Research The report Blockchain Agriculture Market compilation intelligent, broad research studies... 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https://www.globenewswire.com/news-release/2020/08/26/2084185/0/en/Insights-on-the-Wearable-AI-Global-Market-to-2025-Featuring-Apple-Samsung-Electronics-Microsoft-Among-Others.html | 2020-08-26T00:00:00 | en | Insights on the Wearable AI Global Market to 2025 - Featuring Apple, Samsung Electronics & Microsoft Among Others |
Insights on the Wearable AI Global Market to 2025 - Featuring Apple, Samsung Electronics & Microsoft Among Others
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August 26, 2020 10:28 ET
| Source: Research and Markets
Dublin, Aug. 26, 2020 (GLOBE NEWSWIRE) -- The "Global Wearable AI Market, by Type, by End User, by Region, Industry Analysis and Forecast, 2019 - 2025" report has been added to ResearchAndMarkets.com's offering. The Global Wearable AI Market size is expected to reach $38.3 billion by 2025, rising at a market growth of 20.2% CAGR during the forecast period. Wearable AI market has been witnessing exponential growth due to a growing proliferation of emerging technologies, including AI and 5G smartphone penetration. Smartphones are commonly used for storing and analyzing data obtained from wearable devices. The rapid growth of the smartphone industry has increased the production of android & IoT-enabled responsive and user-friendly applications for wearable devices. Other factors that drive market growth include rapid urbanization and increasing disposable incomes in developing economies, which determine future trends in wearable technology.There has been widespread adoption of smart watches by companies such as Huawei (China), Apple (US), and Samsung (South Korea) due to the ease of access to the AI features provided by them. In addition, the launch of Android 2.0 OS on Android-based smart watches leads to on-board voice support via internet connectivity. Smart watches have had a strong customer preference as a result of the simplicity of wear and the easy use of a broad variety of features on a single touch.The emergence of different smart and advanced wearables for different purposes boosts the wearable AI industry trends. For example, the new Apple Airpods Pro provides active noise cancellation for immersive sound, transparency mode to hear what's going on, connect to the iPhone or Apple watch, and uses the Siri Virtual Assistant and others that have a range of other smart apps. Also, new models, such as ODGR-9 at the Osterhout Group driven by Qualcomm's Snapdragon 835 SoC, coupled with 6GB of RAM, are smart eyewear with several features that increase competition in the wearable AI market.Factors such as growth in the adoption of AI assistants, expanded penetration of AI in the healthcare sector, and development of IoT and convergence of wireless technology boost the growth of this market. However, the short life of smart wearables is hindering wearable AI market development. In addition, AI assistance for animal health monitoring and advancement in personal computing is anticipated to create lucrative business prospects for wearable AI.Based on Type, the market is segmented into Smart Watch, Smart Eyewear, Smart Earwear and Others. Based on End User, the market is segmented into Consumer Electronics, Healthcare, Military& Defense, Automotive and Others. Based on Regions, the market is segmented into North America, Europe, Asia Pacific, and Latin America, Middle East & Africa.The major strategies followed by the market participants are Product Launches. Based on the Analysis presented in the Cardinal matrix, Microsoft Corporation, Apple, Inc., and Samsung Electronics Co., Ltd. are the forerunners in the Wearable AI Market. Companies such as Garmin Ltd., Huawei Technologies Co., Ltd., IBM Corporation, Amazon.com, Inc., Oracle Corporation, Sony Corporation, and Fitbit, Inc. are some of the key innovators in Wearable AI Market.The market research report covers theanalysis of key stake holders of the market. Key companies profiled in the report include Apple, Inc., Samsung Electronics Co., Ltd. (Samsung Group), Microsoft Corporation, Sony Corporation, Garmin Ltd., Fitbit, Inc., Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.), Amazon.com, Inc., IBM Corporation, and Oracle Corporation.Unique Offerings from the Publisher Exhaustive coverageHighest number of market tables and figuresSubscription based model availableGuaranteed best priceAssured post sales research support with 10% customization free Key Topics Covered: Chapter 1. Market Scope & MethodologyChapter 2. Market Overview2.1 Introduction2.1.1 Overview2.1.2 Executive Summary2.1.3 Market Composition and Scenario2.2 Key Factors Impacting the Market2.2.1 Market Drivers2.2.2 Market RestraintsChapter 3. Competition Analysis - Global3.1 Cardinal Matrix3.2 Recent Industry Wide Strategic Developments3.2.1 Partnerships, Collaborations and Agreements3.2.2 Product Launches and Product Expansions3.2.3 Geographical Expansions3.2.4 Mergers & Acquisitions3.3 Top Winning Strategies3.3.1 Key Leading Strategies: Percentage Distribution (2015-2019)3.3.2 Key Strategic Move: (Product Launches and Product Expansions : 2019, Nov - 2015, Feb) Leading PlayersChapter 4. Global Wearable AI Market by Type4.1 Global Smart Watch Wearable AI Market by Region4.2 Global Smart Eyewear Wearable AI Market by Region4.3 Global Smart Earwear Wearable AI Market by Region4.4 Global Other Type Wearable AI Market by RegionChapter 5. Global Wearable AI Market by Industry Vertical5.1 Global Consumer Electronics Wearable AI Market by Region5.2 Global Healthcare Wearable AI Market by Region5.3 Global Military & Defense Wearable AI Market by Region5.4 Global Automotive Wearable AI Market by Region5.5 Global Others Wearable AI Market by RegionChapter 6. Global Wearable AI Market by Region6.1 North America Wearable AI Market6.2 Europe Wearable AI Market6.3 Asia Pacific Wearable AI Market6.4 LAMEA Wearable AI MarketChapter 7. Company Profiles7.1 Apple, Inc.7.1.1 Company Overview7.1.2 Financial Analysis7.1.3 Product and Regional Analysis7.1.4 Research & Development Expense7.1.5 Recent strategies and developments:7.1.5.1 Partnerships, Collaborations, and Agreements:7.1.5.2 Acquisition and Mergers:7.1.5.3 Product Launches and Product Expansions:7.1.6 SWOT Analysis7.2 Samsung Electronics Co., Ltd. (Samsung Group)7.2.1 Company Overview7.2.2 Financial Analysis7.2.3 Segmental and Regional Analysis7.2.4 Research & Development Expense7.2.5 Recent strategies and developments:7.2.5.1 Partnerships, Collaborations, and Agreements:7.2.5.2 Acquisition and Mergers:7.2.5.3 Product Launches and Product Expansions:7.2.6 SWOT Analysis7.3 Microsoft Corporation7.3.1 Company Overview7.3.2 Financial Analysis7.3.3 Segmental and Regional Analysis7.3.4 Research & Development Expenses7.3.5 Recent strategies and developments:7.3.5.1 Partnerships, Collaborations, and Agreements:7.3.6 SWOT Analysis7.4 Sony Corporation7.4.1 Company Overview7.4.2 Financial Analysis7.4.3 Segmental and Regional Analysis7.4.4 Research and Development Expense7.4.5 Recent strategies and developments:7.4.5.1 Product Launches and Product Expansions:7.4.6 SWOT Analysis7.5 Garmin Ltd.7.5.1 Company Overview7.5.2 Financial Analysis7.5.3 Segmental and Regional Analysis7.5.4 Research & Development Expenses7.5.5 Recent strategies and developments:7.5.5.1 Acquisition and Mergers:7.5.5.2 Product Launches and Product Expansions:7.5.6 SWOT Analysis7.6 Fitbit, Inc.7.6.1 Company Overview7.6.2 Financial Analysis7.6.3 Regional Analysis7.6.4 Research & Development Expense7.6.5 Recent strategies and developments:7.6.5.1 Product Launches and Product Expansions:7.6.6 SWOT Analysis7.7 Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)7.7.1 Company Overview7.7.2 Financial Analysis7.7.3 Segmental and Regional Analysis7.7.4 Research & Development Expense7.7.5 Recent strategies and developments:7.7.5.1 Partnerships, Collaborations, and Agreements:7.7.5.2 Product Launches and Product Expansions:7.7.5.3 Geographical Expansions:7.8 Amazon.com, Inc.7.8.1 Company Overview7.8.2 Financial Analysis7.8.3 Segmental and Regional Analysis7.8.4 Recent strategies and developments:7.8.4.1 Partnerships, Collaborations, and Agreements:7.8.4.2 Product Launches and Product Expansions:7.8.5 SWOT Analysis7.9 IBM Corporation7.9.1 Company Overview7.9.2 Financial Analysis7.9.3 Regional & Segmental Analysis7.9.4 Research & Development Expenses7.9.5 Recent strategies and developments:7.9.5.1 Partnerships, Collaborations, and Agreements:7.9.5.2 Acquisition and Mergers:7.9.5.3 Product Launches and Product Expansions:7.9.6 SWOT Analysis7.1 Oracle Corporation7.10.1 Company Overview7.10.2 Financial Analysis7.10.3 Segmental and Regional Analysis7.10.4 Research & Development Expense7.10.5 Recent strategies and developments:7.10.5.1 Product Launches and Product Expansions:7.10.5.2 Acquisition and Mergers:7.10.6 SWOT Analysis For more information about this report visit https://www.researchandmarkets.com/r/77aohr Research and Markets also offers Custom Research services providing focused, comprehensive and tailored research. 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| Insights on the Wearable AI Global Market to 2025 | Insights Wearable AI Global Market 2025 Featuring Apple, Samsung Electronics Microsoft Among Others GlobeNewswire English Franais Us Global Distribution Newswire Services Regulatory Filings Media Partners Insights Wearable AI Global Market 2025 Featuring Apple, Samsung Electronics Microsoft Among Others Email Print Friendly Share August 26, 2020 10:28 ET Source: Research Markets Dublin, Aug. 26, 2020 GLOBE NEWSWIRE The Global Wearable AI Market, Type, End User, Region, Industry Analysis Forecast, 2019 2025 report added offering. The Global Wearable AI Market size expected reach 38.3 billion 2025, rising market growth 20.2 CAGR forecast period. Wearable AI market witnessing exponential growth growing proliferation emerging technologies, including AI 5G smartphone penetration. Smartphones commonly storing analyzing data obtained wearable devices. The rapid growth smartphone industry increased production android IoTenabled responsive userfriendly applications wearable devices. Other factors drive market growth include rapid urbanization increasing disposable incomes developing economies, determine future trends wearable technology.There widespread adoption smart watches companies Huawei China, Apple US, Samsung South Korea ease access AI features provided them. In addition, launch Android 2.0 OS Androidbased smart watches leads onboard voice support internet connectivity. Smart watches strong customer preference result simplicity wear easy use broad variety features single touch.The emergence different smart advanced wearables different purposes boosts wearable AI industry trends. For example, new Apple Airpods Pro provides active noise cancellation immersive sound, transparency mode hear whats going on, connect iPhone Apple watch, uses Siri Virtual Assistant range smart apps. Also, new models, ODGR9 Osterhout Group driven Qualcomms Snapdragon 835 SoC, coupled 6GB RAM, smart eyewear features increase competition wearable AI market.Factors growth adoption AI assistants, expanded penetration AI healthcare sector, development IoT convergence wireless technology boost growth market. However, short life smart wearables hindering wearable AI market development. In addition, AI assistance animal health monitoring advancement personal computing anticipated create lucrative business prospects wearable AI.Based Type, market segmented Smart Watch, Smart Eyewear, Smart Earwear Others. Based End User, market segmented Consumer Electronics, Healthcare, Military Defense, Automotive Others. Based Regions, market segmented North America, Europe, Asia Pacific, Latin America, Middle East Africa.The major strategies followed market participants Product Launches. Based Analysis presented Cardinal matrix, Microsoft Corporation, Apple, ., Samsung Electronics Co., Ltd. forerunners Wearable AI Market. Companies Garmin Ltd., Huawei Technologies Co., Ltd., IBM Corporation, , ., Oracle Corporation, Sony Corporation, Fitbit, . key innovators Wearable AI Market.The market research report covers theanalysis key stake holders market. Key companies profiled report include Apple, ., Samsung Electronics Co., Ltd. Samsung Group, Microsoft Corporation, Sony Corporation, Garmin Ltd., Fitbit, ., Huawei Technologies Co., Ltd. Huawei Investment Holding Co., Ltd., , ., IBM Corporation, Oracle Corporation.Unique Offerings Publisher Exhaustive coverageHighest number market tables figuresSubscription based model availableGuaranteed best priceAssured post sales research support 10 customization free Key Topics Covered: Chapter 1. Market Scope MethodologyChapter 2. Market Overview2.1 Introduction2.1.1 Overview2.1.2 Executive Summary2.1.3 Market Composition Scenario2.2 Key Factors Impacting Market2.2.1 Market Drivers2.2.2 Market RestraintsChapter 3. Competition Analysis Global3.1 Cardinal Matrix3.2 Recent Industry Wide Strategic Developments3.2.1 Partnerships, Collaborations Agreements3.2.2 Product Launches Product Expansions3.2.3 Geographical Expansions3.2.4 Mergers Acquisitions3.3 Top Winning Strategies3.3.1 Key Leading Strategies: Percentage Distribution 201520193.3.2 Key Strategic Move: Product Launches Product Expansions : 2019, Nov 2015, Feb Leading PlayersChapter 4. Global Wearable AI Market Type4.1 Global Smart Watch Wearable AI Market Region4.2 Global Smart Eyewear Wearable AI Market Region4.3 Global Smart Earwear Wearable AI Market Region4.4 Global Other Type Wearable AI Market RegionChapter 5. Global Wearable AI Market Industry Vertical5.1 Global Consumer Electronics Wearable AI Market Region5.2 Global Healthcare Wearable AI Market Region5.3 Global Military Defense Wearable AI Market Region5.4 Global Automotive Wearable AI Market Region5.5 Global Others Wearable AI Market RegionChapter 6. Global Wearable AI Market Region6.1 North America Wearable AI Market6.2 Europe Wearable AI Market6.3 Asia Pacific Wearable AI Market6.4 LAMEA Wearable AI MarketChapter 7. Company Profiles7.1 Apple, .7.1.1 Company Overview7.1.2 Financial Analysis7.1.3 Product Regional Analysis7.1.4 Research Development Expense7.1.5 Recent strategies developments:7.1.5.1 Partnerships, Collaborations, Agreements:7.1.5.2 Acquisition Mergers:7.1.5.3 Product Launches Product Expansions:7.1.6 SWOT Analysis7.2 Samsung Electronics Co., Ltd. Samsung Group7.2.1 Company Overview7.2.2 Financial Analysis7.2.3 Segmental Regional Analysis7.2.4 Research Development Expense7.2.5 Recent strategies developments:7.2.5.1 Partnerships, Collaborations, Agreements:7.2.5.2 Acquisition Mergers:7.2.5.3 Product Launches Product Expansions:7.2.6 SWOT Analysis7.3 Microsoft Corporation7.3.1 Company Overview7.3.2 Financial Analysis7.3.3 Segmental Regional Analysis7.3.4 Research Development Expenses7.3.5 Recent strategies developments:7.3.5.1 Partnerships, Collaborations, Agreements:7.3.6 SWOT Analysis7.4 Sony Corporation7.4.1 Company Overview7.4.2 Financial Analysis7.4.3 Segmental Regional Analysis7.4.4 Research Development Expense7.4.5 Recent strategies developments:7.4.5.1 Product Launches Product Expansions:7.4.6 SWOT Analysis7.5 Garmin Ltd.7.5.1 Company Overview7.5.2 Financial Analysis7.5.3 Segmental Regional Analysis7.5.4 Research Development Expenses7.5.5 Recent strategies developments:7.5.5.1 Acquisition Mergers:7.5.5.2 Product Launches Product Expansions:7.5.6 SWOT Analysis7.6 Fitbit, .7.6.1 Company Overview7.6.2 Financial Analysis7.6.3 Regional Analysis7.6.4 Research Development Expense7.6.5 Recent strategies developments:7.6.5.1 Product Launches Product Expansions:7.6.6 SWOT Analysis7.7 Huawei Technologies Co., Ltd. Huawei Investment Holding Co., Ltd.7.7.1 Company Overview7.7.2 Financial Analysis7.7.3 Segmental Regional Analysis7.7.4 Research Development Expense7.7.5 Recent strategies developments:7.7.5.1 Partnerships, Collaborations, Agreements:7.7.5.2 Product Launches Product Expansions:7.7.5.3 Geographical Expansions:7.8 , .7.8.1 Company Overview7.8.2 Financial Analysis7.8.3 Segmental Regional Analysis7.8.4 Recent strategies developments:7.8.4.1 Partnerships, Collaborations, Agreements:7.8.4.2 Product Launches Product Expansions:7.8.5 SWOT Analysis7.9 IBM Corporation7.9.1 Company Overview7.9.2 Financial Analysis7.9.3 Regional Segmental Analysis7.9.4 Research Development Expenses7.9.5 Recent strategies developments:7.9.5.1 Partnerships, Collaborations, Agreements:7.9.5.2 Acquisition Mergers:7.9.5.3 Product Launches Product Expansions:7.9.6 SWOT Analysis7.1 Oracle Corporation7.10.1 Company Overview7.10.2 Financial Analysis7.10.3 Segmental Regional Analysis7.10.4 Research Development Expense7.10.5 Recent strategies developments:7.10.5.1 Product Launches Product Expansions:7.10.5.2 Acquisition Mergers:7.10.6 SWOT Analysis For information report visit Research Markets offers Custom Research services providing focused, comprehensive tailored research. CONTACT: Laura Wood, Senior Press Manager press For E.S.T Office Hours Call 19173000470 For U.S.CAN Toll Free Call 18005268630 For GMT Office Hours Call 35314168900 Related Articles More articles issued Research Markets More articles related to: Research Analysis Reports Profile Research Markets RSS ATOM Javascript Dublin, IRELAND Data CONTACT: Laura Wood, Senior Press Manager press For E.S.T Office Hours Call 19173000470 For U.S.CAN Toll Free Call 18005268630 For GMT Office Hours Call 35314168900 With Reader Account, easy send email directly contact release. Sign today free Reader Account Already account? Log here. Media Files 22157.jpg LOGO URL Copy link Formats available: Original Medium Small Tags Artificial Intelligence Smart Apps Virtual Assistant Newswire Distribution Network Management Home Newsroom RSS Feeds Legal GlobeNewswire worlds largest newswire distribution networks, specializing delivery corporate press releases financial disclosures multimedia content media, investment community, individual investors general public. 2020 GlobeNewswire, . . Ok | 2,020 | [
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https://9to5mac.com/2020/10/27/apple-acquires-startup-behind-ai-technology-for-video-searches/ | 2020-10-27T00:00:00 | en | Apple acquires startup behind AI technology for video searches - 9to5Mac |
Apple acquires startup behind AI technology for video searches - 9to5Mac
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Apple acquires startup behind AI technology for video searches
Chance Miller
- Oct. 27th 2020 12:49 pm PT
@ChanceHMiller
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Apple has made yet another acquisition in the artificial intelligence industry. Bloomberg reports that Apple has acquired the Barcelona-based startup Vilynx Inc in a deal completed for around $50 million.
Apple confirmed the acquisition with its standard statement when it makes such deals. “Apple buys smaller technology companies from time to time and we generally do not discuss our purpose or plans,” it said in a statement to Bloomberg. The deal is said to have been made earlier this year.
Vilynx specialized in using advanced artificial intelligence and computer vision technology to analyze the content of a video. The technology could use AI to determine the content of a video’s audio, text, and visual content, then create searchable tags for the video.
Vilynx applied its technology to software that companies used for search and recommendation engines for video and other media. On its now defunct website, the startup touted the ability of its system to not only recognize items, but understand them.
There are a variety of different ways in which Apple could apply the Vilynx technology to its platforms. For example, Siri and search could be bolstered with new ways to include video content in results. The Photos app could also be improved with new search capabilities, and Bloomberg points out that AI video technology could also be used in the TV app.
As part of the deal, Vilynx’s cofounder and chief technology officer Elisenda Bou-Balust will remain at Apple, alongside around 50 other engineers and data scientists.
Apple is keeping Vilynx’s Barcelona office and intends to make it one of the company’s main artificial intelligence research and development centers in Europe, the people said. Apple has started hiring engineers for the office. Apple also has AI engineers in Europe in Cambridge, UK; Cork, Ireland; Munich and Zurich.
Vilynx is just one of the many AI and machine learning startups Apple has acquired recently. Back in May, Apple acquired the machine learning startup Inductiv to improve Siri data.
In 2016, Apple acquired the Seattle-based startup Turi as part of its efforts to build out its machine learning and artificial intelligence teams. Apple went on to release the Turi Create framework for simplifying the development of machine learning models. Then, in 2018, Apple completed an acquisition of the privacy-focused artificial intelligence startup “Silk Labs.”
Earlier this year, Apple acquired the low-power AI startup Xnor.ai, which was powering on-device person detection used by smart home camera maker Wyze.
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| Apple acquires startup behind AI technology for video searches | Apple acquires startup AI technology video searches 9to5Mac Switch site Exclusives Guides Reviews How Tos AAPL Apple Store Apple Arcade Apple Card Apple Silicon Apple One CarPlay Siri HomeKit Mac Mac MacBook Pro MacBook Air iMac Pro iMac Mac Pro Mac mini macOS Big Sur iPhone iPhone iPhone 12 iPhone 11 iOS 14 Watch Apple Watch Apple Health Apple Watch Series 6 Apple Watch SE Apple Watch Series 3 watchOS 7 Apple Fitness iPad iPad Pro iPad Air iPad mini iPad iPadOS Music Apple Music AirPods HomePod TV Apple TV 4K Apple TV tvOS 14 Toggle main menu More social networks Submit Tip Us Cashback Fix Toggle dark mode Toggle search 9to5Toys 9to5Google Electrek DroneDJ Space Explored About Today Apple acquires startup AI technology video searches Chance Miller Oct. 27th 2020 12:49 pm PT 0 FacebookTwitterPinterestLinkedInReddit Apple acquisition artificial intelligence industry. Bloomberg reports Apple acquired Barcelonabased startup Vilynx deal completed 50 million. Apple confirmed acquisition standard statement makes deals. Apple buys smaller technology companies time time generally discuss purpose plans, said statement Bloomberg. The deal said earlier year. Vilynx specialized advanced artificial intelligence vision technology analyze content video. The technology use AI determine content videos audio, text, visual content, create searchable tags video. Vilynx applied technology software companies search recommendation engines video media. On defunct website, startup touted ability recognize items, understand them. There variety different ways Apple apply Vilynx technology platforms. For example, Siri search bolstered new ways include video content results. The Photos app improved new search capabilities, Bloomberg points AI video technology TV app. As deal, Vilynxs cofounder chief technology officer Elisenda BouBalust remain Apple, alongside 50 engineers data scientists. Apple keeping Vilynxs Barcelona office intends companys main artificial intelligence research development centers Europe, people said. Apple started hiring engineers office. Apple AI engineers Europe Cambridge, UK; Cork, Ireland; Munich Zurich. Vilynx AI machine learning startups Apple acquired recently. Back May, Apple acquired machine learning startup Inductiv improve Siri data. In 2016, Appleacquiredthe Seattlebased startup Turi efforts build machine learning artificial intelligence teams. Apple went release Turi Create frameworkfor simplifying development machine learning models. Then, 2018, Apple completed acquisition privacyfocusedartificial intelligence startup Silk Labs. Earlier year, Appleacquired lowpower AI startupXnor.ai, powering ondevice person detection smart home camera maker Wyze. FTC: We use income earning auto affiliate links. More. Check 9to5Mac YouTube Apple news: Youre reading 9to5Mac experts break news Apple surrounding ecosystem, day day. Be sure check home latest news, follow 9to5Mac Twitter, Facebook, LinkedIn stay loop. Dont know start? Check exclusive stories, reviews, howtos, subscribe YouTube channel Guides AAPL Company Breaking news Cupertino. Well latest Apple headquarters decipher fact fiction rumor mill. About Author Chance Miller Chance editor entire 9to5 network covers latest Apple news 9to5Mac. Tips, questions, typos chance Chance Millers favorite gear Skillshare Get free trial Skillshare Premium Membership Logitech Powered My goto wireless charging stand. iPhone 12 iPhone 12 Pro arrive Apple Stores How control 5G iPhone 12 iPhone 11 vs. iPhone 12: Which buy? Photos: Inside allnew Apple Valley Fair | 2,020 | [
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https://syncedreview.com/2020/11/04/cornell-facebook-ai-simplified-graph-learning-approach-outperforms-sota-gnns/ | 2020-11-05T00:00:00 | en | Cornell & Facebook AI Simplified Graph Learning Approach Outperforms SOTA GNNs | Synced |
Cornell & Facebook AI Simplified Graph Learning Approach Outperforms SOTA GNNs | Synced
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AI Research
Cornell & Facebook AI Simplified Graph Learning Approach Outperforms SOTA GNNs
Cornell and Facebook AI “Correct and Smooth” high-accuracy graph learning method is fast to train and outperforms big Graph Neural Network (GNN) models
by Synced2020-11-04
Comment 1
New research from Cornell University, Facebook and Facebook AI proposes a high-accuracy graph learning method that is fast to train and outperforms big Graph Neural Network (GNN) models. Their “Correct and Smooth” (C&S) is a general pipeline that achieves SOTA performance on node classification tasks.Although GNNs are the predominant technique for learning over graphs representing complex systems such as social networks, elections maps or transportation grids, the researchers note a scaling problem seen across ML: “GNN models are becoming more expressive, more parameterized, and more expensive to train.“In the paper Combining Label Propagation and Simple Models Out-Performs Graph Neural Networks, the team explains their performance improvements are mostly due to directly using labels in the learning algorithm. C&S combines simple models that ignore the graph structure and two simple post-processing steps that exploit correlations in the label structure.
How do GNNs work? In a graph, entities are represented as vertices or nodes, and interactions are edges connecting two vertices. Accordingly, an attributed graph would further demonstrate attributes of interest for each vertex. However, some attribute information might be missing on a subset of vertices. GNNs can predict these missing attributes, thanks to their ability to extract information from vertex features and transform features in each vertex’s neighbourhood into a vector representation of the vertex.Paper co-author and Cornell University Assistant Professor Austin Benson says the new work suggests “you don’t need GNNs to cleverly learn to combine your neighborhood information. You just need smoothing (coming from label prop ideas).“The researchers built a simple pipeline with three main stages:
a base prediction made with node features that ignores the graph structure (e.g., an MLP or linear model)a correction step, which propagates uncertainties from the training data across the graph to correct the base predictiona smoothing of the predictions over the graph
The team examined the effectiveness of their method on datasets from various benchmarks:
The Arxiv and Products datasets from the Open Graph Benchmark (OGB)The Cora, Citeseer, and Pubmed, three classic citation network benchmarkswikiCS, a web graphA Facebook social network of Rice UniversityA geographic dataset of US countiesAn email dataset of a European research institute
The results showed the C&S approach can match or exceed the performance of SOTA GNNs. On the Products dataset for example, the framework with a linear base predictor model scored higher accuracy while training over 100 times faster and with 137 times fewer parameters compared to the SOTA GNN model. “The performance of our methods highlights how directly incorporating label information into the learning algorithm (as was done in traditional techniques) yields easy and substantial performance gains,” the team says.The paper Combining Label Propagation and Simple Models Out-Performs Graph Neural Networks is on arXiv, and the code for the OGB dataset results can be found on the project GitHub.
Reporter: Fangyu Cai | Editor: Michael Sarazen
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TagsArtificial Intelligence • Facebook AI • GNN • Graph Neural Networks • Machine Learning
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| Cornell & Facebook AI Simplified Graph Learning Approach Outperforms SOTA GNNs | Cornell Facebook AI Simplified Graph Learning Approach Outperforms SOTA GNNs Synced Synced AI Technology Industry Review Menu Twitter LinkedIn Synced China Global News Asia EU UK US Canada Global Industry Cloud ML Ops Data Intelligence Industrial AI Smart Living Company DeepMind IBM Microsoft NVIDIA OpenAI Facebook Google Research AIoT Computer Vision Graphics Machine Learning Data Science Nature Language Tech Others Community Share My Research Conference Synced Report SIAT Newsletter Us Contribute Synced Review Career for: Menu Synced Twitter LinkedIn Synced China Close for: Twitter LinkedIn Synced China Global News Asia EU UK US Canada Global Industry Cloud ML Ops Data Intelligence Industrial AI Smart Living Company DeepMind IBM Microsoft NVIDIA OpenAI Facebook Google Research AIoT Computer Vision Graphics Machine Learning Data Science Nature Language Tech Others Community Share My Research Conference Synced Report SIAT Newsletter Us Contribute Synced Review Career AI Research Cornell Facebook AI Simplified Graph Learning Approach Outperforms SOTA GNNs Cornell Facebook AI Correct Smooth highaccuracy graph learning method fast train outperforms big Graph Neural Network GNN models Synced20201104 Comment 1 New research Cornell University, Facebook Facebook AI proposes highaccuracy graph learning method fast train outperforms big Graph Neural Network GNN models. Their Correct Smooth CS general pipeline achieves SOTA performance node classification tasks.Although GNNs predominant technique learning graphs representing complex systems social networks, elections maps transportation grids, researchers note scaling problem seen ML: GNN models expressive, parameterized, expensive train.In paper Combining Label Propagation Simple Models OutPerforms Graph Neural Networks, team explains performance improvements directly labels learning algorithm. CS combines simple models ignore graph structure simple postprocessing steps exploit correlations label structure. How GNNs work? In graph, entities represented vertices nodes, interactions edges connecting vertices. Accordingly, attributed graph demonstrate attributes vertex. However, attribute information missing subset vertices. GNNs predict missing attributes, thanks ability extract information vertex features transform features vertexs neighbourhood vector representation vertex.Paper coauthor Cornell University Assistant Professor Austin Benson says new work suggests dont need GNNs cleverly learn combine neighborhood information. You need smoothing coming label prop ideas.The researchers built simple pipeline main stages: base prediction node features ignores graph structure e.g., MLP linear modela correction step, propagates uncertainties training data graph correct base predictiona smoothing predictions graph The team examined effectiveness method datasets benchmarks: The Arxiv Products datasets Open Graph Benchmark OGBThe Cora, Citeseer, Pubmed, classic citation network benchmarkswikiCS, web graphA Facebook social network Rice UniversityA geographic dataset US countiesAn email dataset European research institute The results showed CS approach match exceed performance SOTA GNNs. On Products dataset example, framework linear base predictor model scored higher accuracy training 100 times faster 137 times fewer parameters compared SOTA GNN model. The performance methods highlights directly incorporating label information learning algorithm traditional techniques yields easy substantial performance gains, team says.The paper Combining Label Propagation Simple Models OutPerforms Graph Neural Networks arXiv, code OGB dataset results project GitHub. Reporter: Fangyu Cai Editor: Michael Sarazen We know dont want miss news research breakthroughs. popular newsletter Synced Global AI Weekly weekly AI updates. Thinking contributing Synced Review? Synceds new column Share My Research welcomes scholars share research breakthroughs global AI enthusiasts. Share this:TwitterFacebookLike this:Like Loading... TagsArtificial Intelligence Facebook AI GNN Graph Neural Networks Machine Learning About Synced Machine Intelligence Technology Industry Information Analysis 1 comment Cornell Facebook AI Simplified Graph Learning Approach Outperforms SOTA GNNs Pingback: Cornell Facebook AI Simplified Graph Learning Approach Outperforms SOTA GNNs FullStack Feed Leave Reply Cancel replyYour email address published.Comment Name Email Website Notify followup comments email. Notify new posts email. 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https://www.independent.ie/business/technology/ucd-students-research-takes-down-an-80-million-image-artificial-intelligence-database-39363018.html | 2020-07-13T00:00:00 | en | UCD student’s research takes down an 80-million image artificial intelligence database - Independent.ie |
UCD student’s research takes down an 80-million image artificial intelligence database - Independent.ie
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UCD student’s research takes down an 80-million image artificial intelligence database
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July 13 2020 12:47 PM
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A UCD student’s research has resulted in the withdrawal of an 80-million image library used to train artificial intelligence systems.
The research by PhD student Abeba Birhane found that hundreds of millions of images in academic datasets that are used to develop AI systems and applications are partly based on racist and misogynistic labels and slurs, according to the Irish Software Research Centre (Lero) and University College Dublin’s Complex Software Lab.
“Already, MIT has deleted its much-cited ‘80 Million Tiny Images’ dataset, asking researchers and developers to cease using the library to train AI and ML system,” said the software research centre in a statement.
“MIT’s decision came as a direct result of the research carried out by University College Dublin based Lero researcher Abeba Birhane and Vinay Prabhu, chief scientist at UnifyID, a privacy start-up in Silicon Valley.”
In the course of the work, the Lero statement says, Ms Birhane found the MIT database contained thousands of images labelled with racist and misogynistic insults and derogatory terms.
This “contaminates” the AI databases, Ms Birhane said.
“Face recognition systems built on such dataset embed harmful stereotypes and prejudices,” she said.
“Not only is it unacceptable to label people’s images with offensive terms without their awareness and consent, training and validating AI systems with such dataset raises grave problems in the age of ubiquitous AI. When such systems are deployed into the real-world, in security, hiring, or policing systems, the consequences are dire, resulting in individuals being denied opportunities or labelled as a criminal. More fundamentally, the practice of labelling a person based on their appearance risks reviving the long discredited pseudoscientific practice of physiognomy.”
There are many datasets around the world that might be affected, she said.
“Lack of scrutiny has played a role in the creation of monstrous and secretive datasets without much resistance, prompting further questions such as what other secretive datasets currently exist hidden and guarded under the guise of proprietary assets?”
The researchers also found that all of the images used to populate the datasets examined were “non-consensual” images, included those of children, scraped from seven image search engines, including Google.
“From the questionable ways images were sourced, to troublesome labelling of people in images, to the downstream effects of training AI models using such images, large scale vision datasets may do more harm than good,” said Ms Birhane.
“We believe radical ethics that challenge deeply ingrained traditions need to be incentivised and rewarded in order to bring about a shift in culture that centres justice and the welfare of disproportionately impacted communities. I would urge the machine learning community to pay close attention to the direct and indirect impact of our work on society, especially on vulnerable groups,” Ms Birhane concluded.
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| UCD student’s research takes down an 80-million image artificial intelligence database | UCD students research takes 80million image artificial intelligence database Independent.ie Independentie Skip navigation [n] Skip content [c] Skip footer [f] Monday, 13 July 2020 17.1C Dublin Log InUserfilled My Account Log Out News [1] Opinion [2] Business [3] Sport [4] Life [5] Style [7] Entertainment [8] Travel [9] Menu Sections News Irish News World News Local News Environment Weather Opinion Letters Editorial Comment Business Brexit Irish World Technology Personal Finance Small Business Farming Jobs Commercial Property In The Workplace Sport Rugby GAA Soccer The Left Wing The Throw In Womens Sport Golf Horse Racing Other Sports Life Health Wellbeing Home Garden Family Food Drink Motoring Partners Sponsored CarsIreland.ie Adfront Jobs Death Notices Archives DiscountCodes Christmas Gifts Choosy IndependentShop Style Celebrity Fashion Beauty Sex Relationships Voices Galleries Entertainment Movies Television Music Radio Books Theatre Arts Games Festivals Puzzles Horoscopes Travel Travel News Reader Travel Awards Ireland Reviews Walks Europe WorldUSA Travel TV Cruise Ski Podcasts Women Tech The Throw In The Big Tech Show Real Health Podcast Going College Partners Business The Left Wing The Floating Voter Video Newsletters Down Technology Tech Gaming Reviews Independentie News [1] Opinion [2] Business [3] Sport [4] Life [5] Style [7] Entertainment [8] Travel [9] Menu Sections UCD students research takes 80million image artificial intelligence database Expand Close Stock image Facebook Twitter Email Whatsapp Stock image Adrian Weckler Twitter Email July 13 2020 12:47 PM Facebook Twitter Email A UCD students research resulted withdrawal 80million image library train artificial intelligence systems. The research PhD student Abeba Birhane hundreds millions images academic datasets develop AI systems applications partly based racist misogynistic labels slurs, according Irish Software Research Centre Lero University College Dublins Complex Software Lab. Already, MIT deleted muchcited 80 Million Tiny Images dataset, asking researchers developers cease library train AI ML system, said software research centre statement. MITs decision came direct result research carried University College Dublin based Lero researcher Abeba Birhane Vinay Prabhu, chief scientist UnifyID, privacy startup Silicon Valley. In course work, Lero statement says, Ms Birhane MIT database contained thousands images labelled racist misogynistic insults derogatory terms. This contaminates AI databases, Ms Birhane said. Face recognition systems built dataset embed harmful stereotypes prejudices, said. Not unacceptable label peoples images offensive terms awareness consent, training validating AI systems dataset raises grave problems age ubiquitous AI. When systems deployed realworld, security, hiring, policing systems, consequences dire, resulting individuals denied opportunities labelled criminal. More fundamentally, practice labelling person based appearance risks reviving long discredited pseudoscientific practice physiognomy. There datasets world affected, said. Lack scrutiny played role creation monstrous secretive datasets resistance, prompting questions secretive datasets currently exist hidden guarded guise proprietary assets? The researchers images populate datasets examined nonconsensual images, included children, scraped seven image search engines, including Google. From questionable ways images sourced, troublesome labelling people images, downstream effects training AI models images, large scale vision datasets harm good, said Ms Birhane. We believe radical ethics challenge deeply ingrained traditions need incentivised rewarded order bring shift culture centres justice welfare disproportionately impacted communities. I urge machine learning community pay close attention direct indirect impact work society, especially vulnerable groups, Ms Birhane concluded. Online Editors Most Read Adrian Weckler Opinion Good app, shame duopoly Were iGen now, practice face face Irishlinked firm targets 100m revenue Silicon Valleys senior Irish engineer personal medical battle brought Covid Tracker design mission Greenhouse grow Irish base targets quarter revenue Europe Independentie News Irish News World News Local News Environment Weather Opinion Letters Editorial Comment Business Brexit Irish World Technology Personal Finance Small Business Farming Jobs Commercial Property In The Workplace Sport Rugby GAA Soccer The Left Wing The Throw In Womens Sport Golf Horse Racing Other Sports Life Health Wellbeing Home Garden Family Food Drink Motoring Style Celebrity Fashion Beauty Sex Relationships Voices Galleries Entertainment Movies Television Music Radio Books Theatre Arts Games Festivals Puzzles Horoscopes Travel Travel News Reader Travel Awards Ireland Reviews Walks Europe WorldUSA Travel TV Cruise Ski Podcasts Women Tech The Throw In The Big Tech Show Real Health Podcast Going College Partners Business The Left Wing The Floating Voter Video Newsletter Choosy IndependentShop Discount Codes Socials Facebook Twitter Email Sitemap Us Terms Conditions Privacy Statement Policy Paidfor content Policy Group Websites Advertise Us An INM Website Independent.ie | 2,020 | [
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https://www.timesnownews.com/business-economy/industry/article/iit-hyderabad-use-ai-to-find-barriers-for-integration-of-biofuels-in-fuel-sector/615942 | 2020-07-03T00:00:00 | en | IIT Hyderabad use AI to find barriers for integration of biofuels in fuel sector | Business News |
IIT Hyderabad use AI to find barriers for integration of biofuels in fuel sector | Business News
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IIT Hyderabad use AI to find barriers for integration of biofuels in fuel sector
Industry
ET Now Digital
Updated Jul 03, 2020 | 17:24 IST
Researchers of the IIT Hyderabad have started using computational methods to understand the barriers in incorporating biofuels into the mainstream fuel sector in India.
IIT Hyderabad use AI to find barriers for integration of biofuels in fuel sector  |  Photo Credit: IANS
Hyderabad: Bio-derived fuels are gaining widespread attention among the scientific community across the world. The work on biofuels is in response to the global call for reducing carbon emissions associated with the use of fossil fuels. In India too, biofuels have caught the imagination of researchers.
Researchers of the Indian Institute of Technology (IIT) Hyderabad have started using computational methods to understand the barriers in incorporating biofuels into the mainstream fuel sector in India.
The unique framework of the approach considers revenue generation not only from the perspective of sales of the biofuel but also in terms of carbon credits via greenhouse gas emission savings throughout the project lifecycle.
The study’s model shows that if bioethanol is used with mainstream fuel, the costs associated with it are follows: production cost 43 per cent, import 25 per cent, transport 17 per cent, infrastructure 15 per cent, and inventory 0.43 per cent. The model has also shown that the feed availability to the tune of at least 40 per cent of the capacity is needed to meet the projected demands.
Dr Kishalay Mitra, lead researcher, Department of Chemical Engineering, IIT Hyderabad, said, “In India, biofuels generated from non-food sources is the most promising source of carbon-neutral renewable energy. These second-generation sources include agricultural waste products such as straw, hay and wood, among others, that do not intrude upon food sources.”
The team has considered multiple technologies available for bioenergy generation across several zones in the country and performed a thorough feasibility study using data of suppliers, transport, storage and production, among others, published by the Indian Government.
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Elaborating on the research, Kapil Gumte, research scholar at IIT Hyderabad, said, “We use machine learning techniques to understand the supply chain network. Machine learning is a branch of artificial intelligence in which the computer learns patterns from available data and updates automatically to produce an understanding of the system and predictions for the future.”
“The techno-economic-environmental analysis on country-wide multi-layered supply chain network and the use of machine learning techniques have helped us capture the uncertainty in forecasting demands and other supply chain parameters and their effects on the operational and design decisions in the long run,” added Dr Mitra.
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| IIT Hyderabad use AI to find barriers for integration of biofuels in fuel sector | IIT Hyderabad use AI barriers integration biofuels fuel sector Business News Times Now Follow : TAX CALCULATOR ECONOMY MARKETS BRAND EQUITY COMPANIES INDUSTRYPERSONAL FINANCETaxInsurancePlanning Investing REAL ESTATE LEADERS OF TOMORROW RISE WITH INDIA MORE VIDEOS ET Now Companies Financial Reports Markets News Shows Health Fitness Weight Loss Yoga Lifestyle DIY Hacks Horoscope Mens Fashion Womens Fashion Shows Mirror Now Crime Politics Shows Society Urban Debate Specials The Foodie Baking Recipes Breakfast Recipes Features Foodie Facts Healthy Recipes Seasonal Recipes Shows Starters Snacks Times Drive Features Car Reviews Bike Reviews Cars First Look Bikes First Look Bike Comparisons Car Comparisons Shows Times Now India India Upfront Newshour Shows World TN Singles Series Web Series Zoom Bollywood Bollywood Fashion Fitness Gossip Movie Reviews News Shows Telly Talk TV Gossip INDIA WORLD ASIA CUP 2018 HSIC2018 Keep That Smile BUSINESS Economy Markets World News Companies Industry Personal Finance Tax Insurance Planning Investing Real Estate Inspiration MIRROR NOW Crime Society Civic Issues In Focus SPORTS Cricket Cricket News ASIA CUP 2018 Others Football Tennis Badminton TECH GADGETS BUZZ SPIRITUALITY Religion Meaning Of Dreams Auto Cars Car News Car Reviews Comparisons Bikes Bike News Bike Reviews Comparisons Features Videos HEALTH EDUCATION THE NEWSHOUR INDIA UPFRONT PHOTOS ASTROLOGY TODAY LATEST NEWS TRENDING NEWS LIVE TV News> Business > Industry IIT Hyderabad use AI barriers integration biofuels fuel sector Industry ET Now Digital Updated Jul 03, 2020 17:24IST Researchers IIT Hyderabad started computational methods understand barriers incorporating biofuels mainstream fuel sector India. IIT Hyderabad use AI barriers integration biofuels fuel sectornbsp nbspPhoto Credit:nbspIANS Hyderabad: Bioderived fuels gaining widespread attention scientific community world. The work biofuels response global reducing carbon emissions associated use fossil fuels. In India too, biofuels caught imagination researchers. Researchers Indian Institute Technology IIT Hyderabad started computational methods understand barriers incorporating biofuels mainstream fuel sector India. The unique framework approach considers revenue generation perspective sales biofuel terms carbon credits greenhouse gas emission savings project lifecycle. The studys model shows bioethanol mainstream fuel, costs associated follows: production cost 43 cent, import 25 cent, transport 17 cent, infrastructure 15 cent, inventory 0.43 cent. The model shown feed availability tune 40 cent capacity needed meet projected demands. Dr Kishalay Mitra, lead researcher, Department Chemical Engineering, IIT Hyderabad, said, In India, biofuels generated nonfood sources promising source carbonneutral renewable energy. These secondgeneration sources include agricultural waste products straw, hay wood, others, intrude food sources. The team considered multiple technologies available bioenergy generation zones country performed thorough feasibility study data suppliers, transport, storage production, others, published Indian Government. RELATED NEWS Global markets rally: What fuelling hopes investors? Ashok Gehlots Rajasthan tops fuel prices rate north India CM refuses reduce VAT Fuel price hikes: Government coffers vs consumer pockets Elaborating research, Kapil Gumte, research scholar IIT Hyderabad, said, We use machine learning techniques understand supply chain network. Machine learning branch artificial intelligence learns patterns available data updates automatically produce understanding predictions future. The technoeconomicenvironmental analysis countrywide multilayered supply chain network use machine learning techniques helped capture uncertainty forecasting demands supply chain parameters effects operational design decisions long run, added Dr Mitra. TAP TO UNMUTE Fuel Price Hike 16th consecutive day, fueling price spike? Citizens demand government lower fuel prices Bengaluru Fuel Price Hike: What Aam Aadmi feel rise fuel cost? Ground Report Congress workers protest country fuel price hike ome Tax calculator National Pension Scheme ITR Filing Date Extended Fixed deposit Rates VIDEOS Karnatakas health infrastructure stress, angry patients expose shoddy facilities PM Modi addresses Indian soldiers Ladakh; salutes forces pays respect Galwan martyrs Reliance Industries HDFC Life focus; Top gainers losers Market Fatafat PM Modi hails bravery Indian soldiers thanks mothers service nation Gig workers demand doubles beginning lockdown Detailed Report JUST IN Motherson Sumi skids post biz restructuring announcement Shopkeeper murders woman customer, sex corpse Kohli, Rohit Sachin?Jaffer INDs whiteball player Locket Chatterjee tests positive Covid19 Bayern seal Sane Manchester City MOST READ Economic decoupling India possible: CPC mouthpiece Railways start 90 new special trains week Five advices Warren Buffett help win ByteDance looking loss 6 bn Indias app ban Chinese cos allowed highway projects: Gadkari NEXT STORY Now Available On News Home Business India Outbreak Report Latest Coronavirus News India Tech Sports Health Spirituality Education Live TV Videos Photos Buzz The Newshour India Upfront Times Channel Packs Today Trending News Auto Delhi Company Us Advertise Syndication Editorial Guidelines Regulatory Terms Conditions Disclaimer Complaint Redressal Sitemap Feedback Watch Live TV Times NOW ET NOW Mirror NOW Bennett Coleman Company Limited | 2,020 | [
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https://business.financialpost.com/pmn/business-pmn/facial-recognition-firm-clearview-ai-probed-by-uk-australia-for-privacy-issues | 2020-07-09T00:00:00 | en | Facial recognition firm Clearview AI probed by UK, Australia for privacy issues | Financial Post |
Facial recognition firm Clearview AI probed by UK, Australia for privacy issues | Financial Post
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Facial recognition firm Clearview AI probed by UK, Australia for privacy issues
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July 9, 20204:42 AM EDT
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Britain’s data watchdog and its Australian counterpart said on Thursday that they launched a joint investigation into the personal information handling practices of facial recognition technology company Clearview AI.The investigation will be conducted by UK’s Information Commissioner’s Office (ICO) and the Office of the Australian Information Commissioner (OAIC), focussing on the New York-based company’s use of “scraped” data and biometrics of individuals.Clearview did not immediately respond to Reuters’ request for comment.The company is also under investigation in Canada, where Clearview said it would no longer offer its facial recognition services.Clearview AI bills itself as a tool for law enforcement, scraping the internet for publicly available photos and using facial recognition to identify potential suspects.Critics in some countries have raised concerns about the lack of consent of those searched, and the potential for misuse of the service. (Reporting by Muvija M in Bengaluru; Editing by Anil D’Silva)
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| Facial recognition firm Clearview AI probed by UK, Australia for privacy issues | Facial recognition firm Clearview AI probed UK, Australia privacy issues Financial Post NOTE FP Guide coronavirus pandemic Read More Share ... NewsAll NewsReopening CanadaEconomyFP StreetRetail MarketingTelecomTransportationLegal PostReal EstateAll Real EstateMortgagesCommercial Real EstateCommoditiesEnergyMiningAgricultureInvestingAll InvestingInvesting ProGlobal InvestorOutlookFundsMarketsPersonal FinanceAll Personal FinanceMoneyWiseFamily FinanceHigh Net WorthYoung MoneyDebtRetirementTaxesInnovationAll InnovationPersonal TechPost ArcadeInformation TechFP CommentEntrepreneurAll EntrepreneurFP StartupsGrowth StrategiesFranchise FocusMoneySmall BusinessAll Small BusinessSmall Business DigestExecutiveAll ExecutiveCSuiteCareersBusiness EducationExecutive WomenFP MagazineAll FP MagazineCEO YearMoreClassifiedsPlace Classifieds adObituariesPlace NoticeJobsNational Post Facial recognition firm Clearview AI probed UK, Australia privacy issues Reuters July 9, 20204:42 AM EDT Filed underPMN Business Comment Facebook Twitter Reddit Email More Share storyFacial recognition firm Clearview AI probed UK, Australia privacy issues Tumblr Pinterest Google LinkedIn Britains data watchdog Australian counterpart said Thursday launched joint investigation personal information handling practices facial recognition technology company Clearview AI.The investigation conducted UKs Information Commissioners Office ICO Office Australian Information Commissioner OAIC, focussing New Yorkbased companys use scraped data biometrics individuals.Clearview immediately respond Reuters request comment.The company investigation Canada, Clearview said longer offer facial recognition services.Clearview AI bills tool law enforcement, scraping internet publicly available photos facial recognition identify potential suspects.Critics countries raised concerns lack consent searched, potential misuse service. Reporting Muvija M Bengaluru; Editing Anil DSilva Comments Join conversation The Logic COVID19 roundup: The Canadian economys Polaroid moment Breaking fiscal snapshot: Employers deck postpandemic economic recovery As lowEarth orbit satellite rivalries heat up, Canadas Telesat claims steady progress Lift Co. offloading assets COVID19 shakes cannabis sector Top Stories Liberals fiscal snapshot predicts 343 billion deficit Bill Morneau offers little intention curb spending However, rule tax increases way pay rising debts deficits Canada needs new fiscal anchor borrowing spree continue Kevin Carmichael: The finance minister said Wednesday We, collective we, face borrowing The way COVID19s economic hole looks slow, uneven bleak, fiscal snapshot reveals That despite stunning 343 billion deficit government aid WatchCanadas COVID19 fiscal snapshot numbers matter Heres big estimated deficit 343.2 billion Comments Postmedia committed maintaining lively civil forum discussion encourage readers share views articles. Comments hour moderation appearing site. We ask comments relevant respectful. We enabled email notificationsyou receive email receive reply comment, update comment thread follow user follow comments. Visit community guidelines information details adjust email settings. Sign Comment ClassifiedsClassifiedsPlace Classifieds adCelebratingRememberingPlace NoticeJobsFlyerCityAdvertise With UsAdvertisePartnershipsAppointment NoticeResourcesContent WorksSales DirectoryMy Accountr SelfServeePaper Stay Connected 2020 Financial Post, division Postmedia Network . . Unauthorized distribution, transmission republication strictly prohibited. Powered VIP 365 Bloor St East, Toronto, ON, M4W3L4, Privacy Updated Terms Digital Ad Registry Site Map Us | 2,020 | [
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https://www.globenewswire.com/news-release/2020/10/20/2110866/0/en/Riskfuel-partners-with-the-University-of-Toronto-on-ground-breaking-research-for-AI-in-capital-markets.html | 2020-10-20T00:00:00 | en | Riskfuel partners with the University of Toronto on ground-breaking research for AI in capital markets |
Riskfuel partners with the University of Toronto on ground-breaking research for AI in capital markets
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Riskfuel partners with the University of Toronto on ground-breaking research for AI in capital markets
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October 20, 2020 06:00 ET
| Source: Riskfuel Analytics
Riskfuel and the University of Toronto have partnered on a research project to push the boundaries of AI research and explore new possibilities for machine learning in capital markets, based on Riskfuel’s innovative approach that offers 1,000,000x faster valuations to derivatives traders TORONTO, Oct. 20, 2020 (GLOBE NEWSWIRE) -- Riskfuel, a capital markets technology company using AI to revolutionize derivatives valuation and trading, today announced a research partnership with the University of Toronto Department of Statistical Sciences focused on deep learning in financial modelling. The partnership brings together some of the leading experts in AI-powered valuations for over-the-counter (OTC) derivatives, a $600 trillion market that includes interest rate swaps, credit default swaps, and structured products that aren’t traded on the stock exchange. Riskfuel CEO Ryan Ferguson, who wrote one of the seminal papers on applying machine learning to derivatives valuation, will lead his team of financial industry veterans in working with Professor Sebastian Jaimungal, Director of the Masters of Financial Insurance program at the University of Toronto. “We are excited to be partnering with some of University of Toronto’s world-class researchers on a huge, fast-developing new area of opportunity,” said Ferguson. “We have already demonstrated that AI in capital markets will be transformational, and working with Prof. Jaimungal will allow us to stay at the forefront of innovation.” The University of Toronto and Riskfuel received funding from the Natural Sciences and Engineering Research Council of Canada (NSERC) for the project. Riskfuel will share its industry expertise and ground-breaking applications, while Prof. Jaimungal and his team from the Department of Statistical Sciences will explore new possibilities from the latest research on machine learning and finance. Their research project focuses on volatility surfaces, which use geometry to provide a window into the dynamics of current conditions in financial markets. Volatility surfaces are a necessary input for an AI model looking at derivatives, but these complex objects often confound traders and quantitative modellers. This research will contribute to a better understanding of the population of potential volatility surfaces, which will allow AI models to train on every possible future state. That means models that can respond correctly no matter the conditions in financial markets. “Riskfuel is a pioneer in developing ML tools in the financial markets, so they’re a natural partner,” said Prof. Jaimungal. “It’s exciting to be working with people who have an understanding of both industrial applications and AI. We will be working at the cutting edge, bridging academic explorations with practical, real-world applications. The potential here is wide and far-reaching.” The research partnership will focus on real-time valuation for OTC derivatives. Traders have a hard time knowing the actual value of these contracts because they can be contingent on interest rates, asset prices, or other economic indicators. Calculating all the possible outcomes is computationally intensive, and the current approach involves applying huge resources to provide overnight assessments of the previous day’s trading. Riskfuel’s approach uses machine learning to speed up derivatives valuations and risk sensitivity calculations up to 1,000,000 times faster than current applications. Instead of overnight, traders can have accurate information on derivatives values in real-time. About Riskfuel Riskfuel Analytics Inc. is a capital markets and insurance technology company using AI to accelerate valuation and risk sensitivity calculations. www.riskfuel.com Contact:[email protected] Yonge Street,Toronto, Ontario M5C 1X6Canada
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| Riskfuel partners with the University of Toronto on ground-breaking research for AI in capital markets | Riskfuel partners University Toronto groundbreaking research AI capital markets GlobeNewswire English Franais Us Global Distribution Newswire Services Regulatory Filings Media Partners Riskfuel partners University Toronto groundbreaking research AI capital markets Email Print Friendly Share October 20, 2020 06:00 ET Source: Riskfuel Analytics Riskfuel University Toronto partnered research project push boundaries AI research explore new possibilities machine learning capital markets, based Riskfuels innovative approach offers 1,000,000x faster valuations derivatives traders TORONTO, Oct. 20, 2020 GLOBE NEWSWIRE Riskfuel, capital markets technology company AI revolutionize derivatives valuation trading, today announced research partnership University Toronto Department Statistical Sciences focused deep learning financial modelling. The partnership brings leading experts AIpowered valuations overthecounter OTC derivatives, 600 trillion market includes rate swaps, credit default swaps, structured products arent traded stock exchange. Riskfuel CEO Ryan Ferguson, wrote seminal papers applying machine learning derivatives valuation, lead team financial industry veterans working Professor Sebastian Jaimungal, Director Masters Financial Insurance program University Toronto. We excited partnering University Torontos worldclass researchers huge, fastdeveloping new area opportunity, said Ferguson. We demonstrated AI capital markets transformational, working Prof. Jaimungal allow stay forefront innovation. The University Toronto Riskfuel received funding Natural Sciences Engineering Research Council Canada NSERC project. Riskfuel share industry expertise groundbreaking applications, Prof. Jaimungal team Department Statistical Sciences explore new possibilities latest research machine learning finance. Their research project focuses volatility surfaces, use geometry provide window dynamics current conditions financial markets. Volatility surfaces necessary input AI model looking derivatives, complex objects confound traders quantitative modellers. This research contribute better understanding population potential volatility surfaces, allow AI models train possible future state. That means models respond correctly matter conditions financial markets. Riskfuel pioneer developing ML tools financial markets, theyre natural partner, said Prof. Jaimungal. Its exciting working people understanding industrial applications AI. We working cutting edge, bridging academic explorations practical, realworld applications. The potential wide farreaching. The research partnership focus realtime valuation OTC derivatives. Traders hard time knowing actual value contracts contingent rates, asset prices, economic indicators. Calculating possible outcomes computationally intensive, current approach involves applying huge resources provide overnight assessments previous days trading. Riskfuels approach uses machine learning speed derivatives valuations risk sensitivity calculations 1,000,000 times faster current applications. Instead overnight, traders accurate information derivatives values realtime. About Riskfuel Riskfuel Analytics . capital markets insurance technology company AI accelerate valuation risk sensitivity calculations. :media Yonge Street,Toronto, Ontario M5C 1X6Canada Related Articles More articles issued Riskfuel Analytics More articles related to: Company Announcement Partnerships Derivative Market Information Profile Riskfuel Analytics RSS ATOM Javascript Toronto, Ontario, CANADA Media Files RiskfuelLogo.png LOGO URL Copy link Formats available: Original Medium Small Tags artificial intelligence capital markets banking technology derivatives fintech trading startups Risk Management machine learning Related Links Newswire Distribution Network Management Home Newsroom RSS Feeds Legal GlobeNewswire worlds largest newswire distribution networks, specializing delivery corporate press releases financial disclosures multimedia content media, investment community, individual investors general public. 2020 GlobeNewswire, . . Ok | 2,020 | [
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https://www.tehrantimes.com/news/455864/Webinar-to-discuss-AI-in-tourism | 2020-12-16T00:00:00 | en | Webinar to discuss AI in tourism - Tehran Times |
Webinar to discuss AI in tourism - Tehran Times
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Webinar to discuss AI in tourism
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December 16, 2020 - 21:1
TEHRAN- An online seminar will be discussing the role of artificial intelligence in the tourism industry on Saturday with shifting the focus on museology, and museum management.Organized by the tourism ministry in collaboration with the International Council of Museums (ICOM) and the committee of new tourism businesses at the Iran Chamber of Commerce, the session will review the basic concepts of artificial intelligence, its irreplaceable role in increasing productivity, decision-making accuracy, creative achievements, innovations, and staff and experts empowerment, ILNA reported on Tuesday.
Iranian scholar Yahya Tabesh and ICOM-Iran director Seyyed Ahmad Mohit-Tabatabaei are scheduled to give speeches on developing business strategies, intelligent information services, and their links with the tourism industry, the report added.
The participants will also exchange views on the capabilities of the tourism industry in the sustainable development of the country, the need to synchronize with the latest technologies in the world, increasing creativity, growth, and innovation in various sectors of tourism and museum management.
By making a profound breakthrough in technology, known as the Fourth Industrial Revolution, AI contributes to creative and complex activities, strategic decision-making, and modeling and simulation.
Using artificial intelligence, tasks that normally require the use of human intelligence and decision-making power can be delegated to machines and robots, which could save resources and increase productivity while reducing the likelihood of error.
One of the most common usages of artificial intelligence in the tourism industry is to provide online customer service in hotels, travel agencies, museums, historical sites, and recreational centers in such a way that all questions and requests can be answered and guided without human intervention. It could also identify the needs, tastes, and expectations of the customers of this industry by observing and analyzing user interactions, searches, and other activities within the tourism website and platforms.
Many tourism businesses use artificial intelligence to process and analyze their financial and business data, and artificial intelligence will create a fundamental change in various sectors of the tourism industry in near future.
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| Webinar to discuss AI in tourism | Webinar discuss AI tourism Tehran Times About Membership Wed December 16, 2020 Home Society Economy Politics Sports Culture International Multimedia Tourism Webinar discuss AI tourism Tourism December 16, 2020 21:1 TEHRAN An online seminar discussing role artificial intelligence tourism industry Saturday shifting focus museology, museum management.Organized tourism ministry collaboration International Council Museums ICOM committee new tourism businesses Iran Chamber Commerce, session review basic concepts artificial intelligence, irreplaceable role increasing productivity, decisionmaking accuracy, creative achievements, innovations, staff experts empowerment, ILNA reported Tuesday. Iranian scholar Yahya Tabesh ICOMIran director Seyyed Ahmad MohitTabatabaei scheduled speeches developing business strategies, intelligent information services, links tourism industry, report added. The participants exchange views capabilities tourism industry sustainable development country, need synchronize latest technologies world, increasing creativity, growth, innovation sectors tourism museum management. By making profound breakthrough technology, known Fourth Industrial Revolution, AI contributes creative complex activities, strategic decisionmaking, modeling simulation. Using artificial intelligence, tasks normally require use human intelligence decisionmaking power delegated machines robots, save resources increase productivity reducing likelihood error. One common usages artificial intelligence tourism industry provide online customer service hotels, travel agencies, museums, historical sites, recreational centers way questions requests answered guided human intervention. It identify needs, tastes, expectations customers industry observing analyzing user interactions, searches, activities tourism website platforms. Many tourism businesses use artificial intelligence process analyze financial business data, artificial intelligence create fundamental change sectors tourism industry near future. ABUAFM Tags webinar artificial intelligence tourism industry Leave Comment Name Email Your Message Please enter correct answer 4 5 = Latest JCPOA Joint Commission holds online meeting Intelligence minister briefs Parliament Fakhrizadeh assassination Rouhani congratulates Kazakhstan National Day Iran rejects sabotage act Red Sea Indonesia denies talks Israel Chavoshi reciting; longlasting tradition Shahroud Iran seizes 46 tons narcotics, psychoactive drugs month Free water, gas, electricity 30 million Iranians Iranian elements reendorsed UNESCO Intangible Cultural Heritage Webinar discuss AI tourism Yazd caravansaries weighed collective UNESCO tag London museum host major exhibit Iranian history arts Iranian footballer Salimi optimistic womens progress The Things You Can See Only When You Slow Down comes Iranian bookstores Art competition Palestine Is Not Alone announces Iranian jury members Desktop version Mobile version Top About Membership Home Society Economy Politics Sports Culture International Multimedia Tourism All Content Mehr News Agency licensed Creative Commons Attribution 4.0 International License. Developed by: Nastooh Designed by: Pixel Studio | 2,020 | [
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https://www.automatedhome.co.uk/installation/josh-ai-the-privacy-focussed-voice-control-platform.html?utm_source=rss&utm_medium=rss&utm_campaign=josh-ai-the-privacy-focussed-voice-control-platform | 2020-05-12T00:00:00 | en | Josh AI – The Privacy Focussed Voice Control Platform – Automated Home |
Josh AI – The Privacy Focussed Voice Control Platform – Automated Home
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Josh AI – The Privacy Focussed Voice Control Platform
May 11, 2020
The popularity of Voice control is exploding, but it’s always been surrounded by issues regarding security and privacy.
Josh AI is an artificial intelligence system that offers voice control of your smart home with a focus on privacy.
Privacy
Trust and responsibility help make a house a home. Josh understands the importance of protecting you and your family. We will never sell your data to third parties. Josh is continuously learning more natural commands for the home, and owners have the choice to control how much data their home shares. Josh offers limitless personalization along with unparalleled peace of mind.Josh AI
The Josh Micro units go in every room in your house and that makes them aware of their location. So commands are simplified – “Close the blinds”, not “Close the blinds in the master bedroom”.
They have context too, asking to “Turn it up” might raise the volume of the music, or make your lights brighter, depending on your previous command.
Integration
The system can control your entire smart home by integrating with a range of hardware including systems from popular names like Crestron (SIMPL & Pyng/Home) Control4, Lutron and Savant.
UK?
So what about markets outside of the USA? We asked Josh AI for their plans for the UK and they told us…
We have some work to do not only on the business end, but technically as well before we’re able to accommodate the European market and the GDPR. Our team is in the process of conducting a number of compliance reviews and we are hopeful that once those are completed later this year we will have greater visibility into a UK timeframe. Although we’re unable to operate outside of North America today, feel free to join our mailing list (at bottom of josh.ai) so that you can stay up to date for when we do become internationally available.Josh AI
Value
While they do not publish prices, instead working through a dealer network, the company says “the cost of a Josh.ai system is on par with any other entry level home automation system”.
So what’s the value of a private version of something that’s basically free from Google and Amazon? Well it looks pretty high as just last month Josh AI raised $11 million in a Series A round, bringing their total funding to date to $22 million.
It looks like people are prepared to pay for privacy. One to watch.
josh.ai
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| Josh AI | Josh AI The Privacy Focussed Voice Control Platform Automated Home Forums HA Tech Overview Wiring Guide About Chat Room More Suppliers Videos Podcasts Node Zero Gallery Join In Archive Downloads Facebook Twitter Instagram YouTube Pinterest Flickr RSS Shop New Products Reviews Tutorials Hardware Software Forums Hot Topics May 11, 2020 Josh AI The Privacy Focussed Voice Control Platform May 4, 2020 Watch This: Tour YouTubers New Smart Dream Home May 2, 2020 Panasonics latest EVOLTA eneloop Batteries April 27, 2020 Automated Home 2.0 21 Wall Mounting Our Loxone iPad PoE Texas Adaptor Part 1 April 20, 2020 DLinks New HD WiFi Camera AIBased Motion Detection for: Home Installation Josh AI The Privacy Focussed Voice Control Platform May 11, 2020 The popularity Voice control exploding, surrounded issues security privacy. Josh AI artificial intelligence offers voice control smart home focus privacy. Privacy Trust responsibility help house home. Josh understands importance protecting family. We sell data parties. Josh continuously learning natural commands home, owners choice control data home shares. Josh offers limitless personalization unparalleled peace mind.Josh AI The Josh Micro units room house makes aware location. So commands simplified Close blinds, Close blinds master bedroom. They context too, asking Turn raise volume music, lights brighter, depending previous command. Integration The control entire smart home integrating range hardware including systems popular names like Crestron SIMPL PyngHome Control4, Lutron Savant. UK? So markets outside USA? We asked Josh AI plans UK told We work business end, technically able accommodate European market GDPR. Our team process conducting number compliance reviews hopeful completed later year greater visibility UK timeframe. Although unable operate outside North America today, feel free join mailing list josh.ai stay date internationally available.Josh AI Value While publish prices, instead working dealer network, company says cost Josh.ai par entry level home automation system. So whats value private version thats basically free Google Amazon? Well looks pretty high month Josh AI raised 11 million Series A round, bringing total funding date 22 million. It looks like people prepared pay privacy. One watch. josh.ai Share this:FacebookTwitterRedditLinkedInPinterestEmailMoreWhatsAppPrintSkypeTumblrTelegramPocket Previous post Be comment Josh AI The Privacy Focussed Voice Control Platform Leave Reply Cancel reply This site uses Akismet reduce spam. Learn comment data processed. Best Sellers Bestseller No. 1 Smart WiFi Power Strip APP Remote Voice Individual Control Amazon Alexa Google Home Assistant 3 AC 6 USB Extension Lead Cord Timer Android iOS Smartphone Tablets Works WiFi 2.4GHz 22.99 Buy Amazon Bestseller No. 2 Alexa LED Strip Lights 5 Metre, Govee Smart WiFi Wireless APP Controlled, Music Sync Lighting Strip Home Kitchen TV Party, Works Amazon Alexa, Google Assistant Dont Support 5G WiFi 26.99 Buy Amazon Bestseller No. 3 Echo Wall Clocksee timers glance; requires compatible Echo device 29.99 Buy Amazon SaleBestseller No. 4 TPLINK Tapo Smart Plug WiFi Outlet, Works Amazon Alexa Echo Echo Dot, Google Home, Wireless Smart Socket, Remote Control Timer Switch, Free Tapo App, No Hub Required Tapo P100 9.95 Buy Amazon POPULAR ARTICLES Drayton Wiser Smart Heating Controls Review Part 4 1 Year Older Much Wiser Tesla Model 3 UK The First 3,500 Mile Mega Review LightwaveRF Home Automation System : InDepth Review Now TV 10 Minute Hack = 10 Wireless Plex Media Player Drayton Wiser Smart Heating Controls Review Part 1 Step Step Installation Follow Facebook CATEGORIESShop New Products Reviews Tutorials Hardware Software Forums RECENT ARTICLES Legacy Home Automation vs Smart Home The DIY Pros EchoMount Pro PoE Wall Dock Amazon Echo Dot Faradite Release New Outdoor Motion Sensor 360 Aurora AOne Smart Home Lighting System Works With SmartThings Watch This: Autonomous Outdoor Security Drone System Automated Home 2.0 19 To Burn Not Burn? FOLLOW US Facebook Twitter Instagram Pinterest YouTube Flickr RSS Feed Automated Home Email Enter email address subscribe blog receive notifications new posts email. Email Address Privacy s: This site uses cookies. By continuing use website, agree use. To more, including control cookies, here: Policy 2020 Automated Home. . Hosted Laser OK Send Email Address Your Name Your Email Address Cancel Post sent check email addresses Email check failed, try Sorry, blog share posts email. | 2,020 | [
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https://www.realitytvworld.com/news/famous-birthdays-for-may-18-tina-fey-ai-weiwei-50190733.php | 2020-05-18T00:00:00 | en | Famous birthdays for May 18: Tina Fey, Ai Weiwei - Reality TV World |
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Famous birthdays for May 18: Tina Fey, Ai Weiwei
UPI News Service, 05/18/2020
Those born on this date are under the sign of Taurus.
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They include:-- Persian poet Omar Khayyam in 1048-- Russian Czar Nicholas II in 1868-- English philosopher/mathematician Bertrand Russell in 1872-- Film director Frank Capra in 1897-- Blues singer Big Joe Turner in 1911-- Singer Perry Como in 1912FOLLOW REALITY TV WORLD ON THE ALL-NEW GOOGLE NEWS!
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-- Director/screenwriter Richard Brooks in 1912-- British ballet star Margot Fonteyn in 1919-- Pope John Paul II, born Karol Wojtyla, in 1920-- Actor Robert Morse in 1931 (age 89)-- Mad magazine cartoonist Don Martin in 1931-- Baseball Hall of Fame member Brooks Robinson in 1937 (age 83)
-- Baseball Hall of Fame member Reggie Jackson in 1946 (age 74)-- British rock keyboardist Rick Wakeman in 1949 (age 71)-- Country singer George Strait in 1952 (age 68)-- Actor Chow Yun-Fat in 1955 (age 65)-- Artist Ai Weiwei in 1957 (age 63)-- Actor Tina Fey in 1970 (age 50)-- Singer-songwriter Jack Johnson in 1975 (age 45)-- Actor Violett Beane in 1996 (age 24)-- Russian Olympic gold medal figure skater Alina Zagitova 2002 (age 18)
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| Famous birthdays for May 18: Tina Fey, Ai Weiwei | Famous birthdays May 18: Tina Fey, Ai Weiwei Reality TV World Show Updates People News Spoiler News Entertainment News RealityTVDB POP Hollywood Reality TV News Wire Features Interviews Sexy Social Pics Day Things Know Profiles Message Boards Shows Listing 90 Day Fiance The Amazing Race American Idol Americas Got Talent Americas Next Top Model Bachelor Paradise The Bachelor The Bachelorette Big Brother Celebrity Big Brother Counting On Dance Moms Dancing Stars Fixer Upper Flip Flop Hells Kitchen Keeping Up Kardashians Love After Lockup Marriage Boot Camp Married First Sight MasterChef Paradise Hotel Project Runway The Real Housewives Shark Tank So You Think You Can Dance Survivor Teen Mom Temptation Island Top Chef The Voice World Dance More Shows HOME > OTHER ENTERTAINMENT NEWS > NEWS Famous birthdays May 18: Tina Fey, Ai Weiwei UPI News Service, 05182020 Those born date sign Taurus. ADVERTISEMENT They include: Persian poet Omar Khayyam 1048 Russian Czar Nicholas II 1868 English philosophermathematician Bertrand Russell 1872 Film director Frank Capra 1897 Blues singer Big Joe Turner 1911 Singer Perry Como 1912FOLLOW REALITY TV WORLD ON THE ALLNEW GOOGLE NEWS Reality TV World available allnew Google News app website. Click visit Google News , click FOLLOW add news source Directorscreenwriter Richard Brooks 1912 British ballet star Margot Fonteyn 1919 Pope John Paul II, born Karol Wojtyla, 1920 Actor Robert Morse 1931 age 89 Mad magazine cartoonist Don Martin 1931 Baseball Hall Fame member Brooks Robinson 1937 age 83 Baseball Hall Fame member Reggie Jackson 1946 age 74 British rock keyboardist Rick Wakeman 1949 age 71 Country singer George Strait 1952 age 68 Actor Chow YunFat 1955 age 65 Artist Ai Weiwei 1957 age 63 Actor Tina Fey 1970 age 50 Singersongwriter Jack Johnson 1975 age 45 Actor Violett Beane 1996 age 24 Russian Olympic gold medal figure skater Alina Zagitova 2002 age 18 << PRIOR STORYSiberian Husky Nick named Best Show Beverly Hills Dog ShowGet Reality TV World Follow Twitter, like Facebook add RSS feed. 2020 United Press International, . UPI. Any reproduction, republication, redistribution andor modification UPI content expressly prohibited UPIs prior written consent. 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] | 1 | POSITIVE | 90 |
https://bulletinline.com/2020/08/29/interventional-cardiology-and-peripheral-vascular-device-market-size-2020-growth-drivers-challenges-trends-and-market-dynamics-forecast-2026-abbott-laboratories-boston-scientific-c-r-bard/ | 2020-08-29T00:00:00 | en | Interventional Cardiology and Peripheral Vascular Device Market Size 2020, Growth Drivers, Challenges, Trends And Market Dynamics Forecast 2026 | Abbott Laboratories, Boston Scientific, C. R. Bard – Bulletin Line |
Interventional Cardiology and Peripheral Vascular Device Market Size 2020, Growth Drivers, Challenges, Trends And Market Dynamics Forecast 2026 | Abbott Laboratories, Boston Scientific, C. R. Bard – Bulletin Line
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Home2020August29Interventional Cardiology and Peripheral Vascular Device Market Size 2020, Growth Drivers, Challenges, Trends And Market Dynamics Forecast 2026 | Abbott Laboratories, Boston Scientific, C. R. Bard
Interventional Cardiology and Peripheral Vascular Device Market Size 2020, Growth Drivers, Challenges, Trends And Market Dynamics Forecast 2026 | Abbott Laboratories, Boston Scientific, C. R. Bard
Posted On: August 29, 2020
Posted By: Hitesh
Comments: 0
“
LOS ANGELES, United States: The report is an all-inclusive research study of the global Interventional Cardiology and Peripheral Vascular Device market taking into account the growth factors, recent trends, developments, opportunities, and competitive landscape. The market analysts and researchers have done extensive analysis of the global Interventional Cardiology and Peripheral Vascular Device market with the help of research methodologies such as PESTLE and Porter’s Five Forces analysis. They have provided accurate and reliable market data and useful recommendations with an aim to help the players gain an insight into the overall present and future market scenario. The Interventional Cardiology and Peripheral Vascular Device report comprises in-depth study of the potential segments including product type, application, and end user and their contribution to the overall market size.
Get PDF Sample Copy of Report: (Including TOC, List of Tables & Figures, Chart) https://www.qyresearch.com/sample-form/form/1996118/global-interventional-cardiology-and-peripheral-vascular-device-market
In addition, market revenues based on region and country are provided in the Interventional Cardiology and Peripheral Vascular Device report. The authors of the report have also shed light on the common business tactics adopted by players. The leading players of the global Interventional Cardiology and Peripheral Vascular Device market and their complete profiles are included in the report. Besides that, investment opportunities, recommendations, and trends that are trending at present in the global Interventional Cardiology and Peripheral Vascular Device market are mapped by the report. With the help of this report, the key players of the global Interventional Cardiology and Peripheral Vascular Device market will be able to make sound decisions and plan their strategies accordingly to stay ahead of the curve.
Competitive landscape is a critical aspect every key player needs to be familiar with. The report throws light on the competitive scenario of the global Interventional Cardiology and Peripheral Vascular Device market to know the competition at both the domestic and global levels. Market experts have also offered the outline of every leading player of the global Interventional Cardiology and Peripheral Vascular Device market, considering the key aspects such as areas of operation, production, and product portfolio. Additionally, companies in the report are studied based on the key factors such as company size, market share, market growth, revenue, production volume, and profits.
Key Players Mentioned in the Global Interventional Cardiology and Peripheral Vascular Device Market Research Report: Abbott Laboratories, Boston Scientific, C. R. Bard, Cardinal Health, Cook Medical, Edwards Lifesciences, Medtronic Public, Terumo
Global Interventional Cardiology and Peripheral Vascular Device Market Segmentation by Product: Interventional Cardiology Device
Peripheral Vascular Device
Global Interventional Cardiology and Peripheral Vascular Device Market Segmentation by Application: Hospital
Medical Center
The Interventional Cardiology and Peripheral Vascular Device Market report has been segregated based on distinct categories, such as product type, application, end user, and region. Each and every segment is evaluated on the basis of CAGR, share, and growth potential. In the regional analysis, the report highlights the prospective region, which is estimated to generate opportunities in the global Interventional Cardiology and Peripheral Vascular Device market in the forthcoming years. This segmental analysis will surely turn out to be a useful tool for the readers, stakeholders, and market participants to get a complete picture of the global Interventional Cardiology and Peripheral Vascular Device market and its potential to grow in the years to come.
Key questions answered in the report:
What is the growth potential of the Interventional Cardiology and Peripheral Vascular Device market?
Which product segment will grab a lion’s share?
Which regional market will emerge as a frontrunner in coming years?
Which application segment will grow at a robust rate?
What are the growth opportunities that may emerge in Interventional Cardiology and Peripheral Vascular Device industry in the years to come?
What are the key challenges that the global Interventional Cardiology and Peripheral Vascular Device market may face in future?
Which are the leading companies in the global Interventional Cardiology and Peripheral Vascular Device market?
Which are the key trends positively impacting the market growth?
Which are the growth strategies considered by the players to sustain hold in the global Interventional Cardiology and Peripheral Vascular Device market?
Request for customization in Report: https://www.qyresearch.com/customize-request/form/1996118/global-interventional-cardiology-and-peripheral-vascular-device-market
Table of Contents:
1 Interventional Cardiology and Peripheral Vascular Device Market Overview
1.1 Product Overview and Scope of Interventional Cardiology and Peripheral Vascular Device
1.2 Interventional Cardiology and Peripheral Vascular Device Segment by Type
1.2.1 Global Interventional Cardiology and Peripheral Vascular Device Production Growth Rate Comparison by Type 2020 VS 2026
1.2.2 Interventional Cardiology Device
1.2.3 Peripheral Vascular Device
1.3 Interventional Cardiology and Peripheral Vascular Device Segment by Application
1.3.1 Interventional Cardiology and Peripheral Vascular Device Consumption Comparison by Application: 2020 VS 2026
1.3.2 Hospital
1.3.3 Medical Center
1.4 Global Interventional Cardiology and Peripheral Vascular Device Market by Region
1.4.1 Global Interventional Cardiology and Peripheral Vascular Device Market Size Estimates and Forecasts by Region: 2020 VS 2026
1.4.2 North America Estimates and Forecasts (2015-2026)
1.4.3 Europe Estimates and Forecasts (2015-2026)
1.4.4 China Estimates and Forecasts (2015-2026)
1.4.5 Japan Estimates and Forecasts (2015-2026)
1.5 Global Interventional Cardiology and Peripheral Vascular Device Growth Prospects
1.5.1 Global Interventional Cardiology and Peripheral Vascular Device Revenue Estimates and Forecasts (2015-2026)
1.5.2 Global Interventional Cardiology and Peripheral Vascular Device Production Capacity Estimates and Forecasts (2015-2026)
1.5.3 Global Interventional Cardiology and Peripheral Vascular Device Production Estimates and Forecasts (2015-2026)
1.6 Interventional Cardiology and Peripheral Vascular Device Industry
1.7 Interventional Cardiology and Peripheral Vascular Device Market Trends
2 Market Competition by Manufacturers
2.1 Global Interventional Cardiology and Peripheral Vascular Device Production Capacity Market Share by Manufacturers (2015-2020)
2.2 Global Interventional Cardiology and Peripheral Vascular Device Revenue Share by Manufacturers (2015-2020)
2.3 Market Share by Company Type (Tier 1, Tier 2 and Tier 3)
2.4 Global Interventional Cardiology and Peripheral Vascular Device Average Price by Manufacturers (2015-2020)
2.5 Manufacturers Interventional Cardiology and Peripheral Vascular Device Production Sites, Area Served, Product Types
2.6 Interventional Cardiology and Peripheral Vascular Device Market Competitive Situation and Trends
2.6.1 Interventional Cardiology and Peripheral Vascular Device Market Concentration Rate
2.6.2 Global Top 3 and Top 5 Players Market Share by Revenue
2.6.3 Mergers & Acquisitions, Expansion
3 Production and Capacity by Region
3.1 Global Production Capacity of Interventional Cardiology and Peripheral Vascular Device Market Share by Regions (2015-2020)
3.2 Global Interventional Cardiology and Peripheral Vascular Device Revenue Market Share by Regions (2015-2020)
3.3 Global Interventional Cardiology and Peripheral Vascular Device Production Capacity, Revenue, Price and Gross Margin (2015-2020)
3.4 North America Interventional Cardiology and Peripheral Vascular Device Production
3.4.1 North America Interventional Cardiology and Peripheral Vascular Device Production Growth Rate (2015-2020)
3.4.2 North America Interventional Cardiology and Peripheral Vascular Device Production Capacity, Revenue, Price and Gross Margin (2015-2020)
3.5 Europe Interventional Cardiology and Peripheral Vascular Device Production
3.5.1 Europe Interventional Cardiology and Peripheral Vascular Device Production Growth Rate (2015-2020)
3.5.2 Europe Interventional Cardiology and Peripheral Vascular Device Production Capacity, Revenue, Price and Gross Margin (2015-2020)
3.6 China Interventional Cardiology and Peripheral Vascular Device Production
3.6.1 China Interventional Cardiology and Peripheral Vascular Device Production Growth Rate (2015-2020)
3.6.2 China Interventional Cardiology and Peripheral Vascular Device Production Capacity, Revenue, Price and Gross Margin (2015-2020)
3.7 Japan Interventional Cardiology and Peripheral Vascular Device Production
3.7.1 Japan Interventional Cardiology and Peripheral Vascular Device Production Growth Rate (2015-2020)
3.7.2 Japan Interventional Cardiology and Peripheral Vascular Device Production Capacity, Revenue, Price and Gross Margin (2015-2020)
4 Global Interventional Cardiology and Peripheral Vascular Device Consumption by Regions
4.1 Global Interventional Cardiology and Peripheral Vascular Device Consumption by Regions
4.1.1 Global Interventional Cardiology and Peripheral Vascular Device Consumption by Region
4.1.2 Global Interventional Cardiology and Peripheral Vascular Device Consumption Market Share by Region
4.2 North America
4.2.1 North America Interventional Cardiology and Peripheral Vascular Device Consumption by Countries
4.2.2 U.S.
4.2.3 Canada
4.3 Europe
4.3.1 Europe Interventional Cardiology and Peripheral Vascular Device Consumption by Countries
4.3.2 Germany
4.3.3 France
4.3.4 U.K.
4.3.5 Italy
4.3.6 Russia
4.4 Asia Pacific
4.4.1 Asia Pacific Interventional Cardiology and Peripheral Vascular Device Consumption by Region
4.4.2 China
4.4.3 Japan
4.4.4 South Korea
4.4.5 Taiwan
4.4.6 Southeast Asia
4.4.7 India
4.4.8 Australia
4.5 Latin America
4.5.1 Latin America Interventional Cardiology and Peripheral Vascular Device Consumption by Countries
4.5.2 Mexico
4.5.3 Brazil
5 Interventional Cardiology and Peripheral Vascular Device Production, Revenue, Price Trend by Type
5.1 Global Interventional Cardiology and Peripheral Vascular Device Production Market Share by Type (2015-2020)
5.2 Global Interventional Cardiology and Peripheral Vascular Device Revenue Market Share by Type (2015-2020)
5.3 Global Interventional Cardiology and Peripheral Vascular Device Price by Type (2015-2020)
5.4 Global Interventional Cardiology and Peripheral Vascular Device Market Share by Price Tier (2015-2020): Low-End, Mid-Range and High-End
6 Global Interventional Cardiology and Peripheral Vascular Device Market Analysis by Application
6.1 Global Interventional Cardiology and Peripheral Vascular Device Consumption Market Share by Application (2015-2020)
6.2 Global Interventional Cardiology and Peripheral Vascular Device Consumption Growth Rate by Application (2015-2020)
7 Company Profiles and Key Figures in Interventional Cardiology and Peripheral Vascular Device Business
7.1 Abbott Laboratories
7.1.1 Abbott Laboratories Interventional Cardiology and Peripheral Vascular Device Production Sites and Area Served
7.1.2 Abbott Laboratories Interventional Cardiology and Peripheral Vascular Device Product Introduction, Application and Specification
7.1.3 Abbott Laboratories Interventional Cardiology and Peripheral Vascular Device Production Capacity, Revenue, Price and Gross Margin (2015-2020)
7.1.4 Abbott Laboratories Main Business and Markets Served
7.2 Boston Scientific
7.2.1 Boston Scientific Interventional Cardiology and Peripheral Vascular Device Production Sites and Area Served
7.2.2 Boston Scientific Interventional Cardiology and Peripheral Vascular Device Product Introduction, Application and Specification
7.2.3 Boston Scientific Interventional Cardiology and Peripheral Vascular Device Production Capacity, Revenue, Price and Gross Margin (2015-2020)
7.2.4 Boston Scientific Main Business and Markets Served
7.3 C. R. Bard
7.3.1 C. R. Bard Interventional Cardiology and Peripheral Vascular Device Production Sites and Area Served
7.3.2 C. R. Bard Interventional Cardiology and Peripheral Vascular Device Product Introduction, Application and Specification
7.3.3 C. R. Bard Interventional Cardiology and Peripheral Vascular Device Production Capacity, Revenue, Price and Gross Margin (2015-2020)
7.3.4 C. R. Bard Main Business and Markets Served
7.4 Cardinal Health
7.4.1 Cardinal Health Interventional Cardiology and Peripheral Vascular Device Production Sites and Area Served
7.4.2 Cardinal Health Interventional Cardiology and Peripheral Vascular Device Product Introduction, Application and Specification
7.4.3 Cardinal Health Interventional Cardiology and Peripheral Vascular Device Production Capacity, Revenue, Price and Gross Margin (2015-2020)
7.4.4 Cardinal Health Main Business and Markets Served
7.5 Cook Medical
7.5.1 Cook Medical Interventional Cardiology and Peripheral Vascular Device Production Sites and Area Served
7.5.2 Cook Medical Interventional Cardiology and Peripheral Vascular Device Product Introduction, Application and Specification
7.5.3 Cook Medical Interventional Cardiology and Peripheral Vascular Device Production Capacity, Revenue, Price and Gross Margin (2015-2020)
7.5.4 Cook Medical Main Business and Markets Served
7.6 Edwards Lifesciences
7.6.1 Edwards Lifesciences Interventional Cardiology and Peripheral Vascular Device Production Sites and Area Served
7.6.2 Edwards Lifesciences Interventional Cardiology and Peripheral Vascular Device Product Introduction, Application and Specification
7.6.3 Edwards Lifesciences Interventional Cardiology and Peripheral Vascular Device Production Capacity, Revenue, Price and Gross Margin (2015-2020)
7.6.4 Edwards Lifesciences Main Business and Markets Served
7.7 Medtronic Public
7.7.1 Medtronic Public Interventional Cardiology and Peripheral Vascular Device Production Sites and Area Served
7.7.2 Medtronic Public Interventional Cardiology and Peripheral Vascular Device Product Introduction, Application and Specification
7.7.3 Medtronic Public Interventional Cardiology and Peripheral Vascular Device Production Capacity, Revenue, Price and Gross Margin (2015-2020)
7.7.4 Medtronic Public Main Business and Markets Served
7.8 Terumo
7.8.1 Terumo Interventional Cardiology and Peripheral Vascular Device Production Sites and Area Served
7.8.2 Terumo Interventional Cardiology and Peripheral Vascular Device Product Introduction, Application and Specification
7.8.3 Terumo Interventional Cardiology and Peripheral Vascular Device Production Capacity, Revenue, Price and Gross Margin (2015-2020)
7.8.4 Terumo Main Business and Markets Served
8 Interventional Cardiology and Peripheral Vascular Device Manufacturing Cost Analysis
8.1 Interventional Cardiology and Peripheral Vascular Device Key Raw Materials Analysis
8.1.1 Key Raw Materials
8.1.2 Key Raw Materials Price Trend
8.1.3 Key Suppliers of Raw Materials
8.2 Proportion of Manufacturing Cost Structure
8.3 Manufacturing Process Analysis of Interventional Cardiology and Peripheral Vascular Device
8.4 Interventional Cardiology and Peripheral Vascular Device Industrial Chain Analysis
9 Marketing Channel, Distributors and Customers
9.1 Marketing Channel
9.2 Interventional Cardiology and Peripheral Vascular Device Distributors List
9.3 Interventional Cardiology and Peripheral Vascular Device Customers
10 Market Dynamics
10.1 Market Trends
10.2 Opportunities and Drivers
10.3 Challenges
10.4 Porter’s Five Forces Analysis
11 Production and Supply Forecast
11.1 Global Forecasted Production of Interventional Cardiology and Peripheral Vascular Device (2021-2026)
11.2 Global Forecasted Revenue of Interventional Cardiology and Peripheral Vascular Device (2021-2026)
11.3 Global Forecasted Price of Interventional Cardiology and Peripheral Vascular Device (2021-2026)
11.4 Global Interventional Cardiology and Peripheral Vascular Device Production Forecast by Regions (2021-2026)
11.4.1 North America Interventional Cardiology and Peripheral Vascular Device Production, Revenue Forecast (2021-2026)
11.4.2 Europe Interventional Cardiology and Peripheral Vascular Device Production, Revenue Forecast (2021-2026)
11.4.3 China Interventional Cardiology and Peripheral Vascular Device Production, Revenue Forecast (2021-2026)
11.4.4 Japan Interventional Cardiology and Peripheral Vascular Device Production, Revenue Forecast (2021-2026)
12 Consumption and Demand Forecast
12.1 Global Forecasted and Consumption Demand Analysis of Interventional Cardiology and Peripheral Vascular Device
12.2 North America Forecasted Consumption of Interventional Cardiology and Peripheral Vascular Device by Country
12.3 Europe Market Forecasted Consumption of Interventional Cardiology and Peripheral Vascular Device by Country
12.4 Asia Pacific Market Forecasted Consumption of Interventional Cardiology and Peripheral Vascular Device by Regions
12.5 Latin America Forecasted Consumption of Interventional Cardiology and Peripheral Vascular Device
13 Forecast by Type and by Application (2021-2026)
13.1 Global Production, Revenue and Price Forecast by Type (2021-2026)
13.1.1 Global Forecasted Production of Interventional Cardiology and Peripheral Vascular Device by Type (2021-2026)
13.1.2 Global Forecasted Revenue of Interventional Cardiology and Peripheral Vascular Device by Type (2021-2026)
13.1.2 Global Forecasted Price of Interventional Cardiology and Peripheral Vascular Device by Type (2021-2026)
13.2 Global Forecasted Consumption of Interventional Cardiology and Peripheral Vascular Device by Application (2021-2026)
14 Research Finding and Conclusion
15 Methodology and Data Source
15.1 Methodology/Research Approach
15.1.1 Research Programs/Design
15.1.2 Market Size Estimation
15.1.3 Market Breakdown and Data Triangulation
15.2 Data Source
15.2.1 Secondary Sources
15.2.2 Primary Sources
15.3 Author List
15.4 Disclaimer
About Us:
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| Interventional Cardiology and Peripheral Vascular Device Market Size 2020, Growth Drivers, Challenges, Trends And Market Dynamics Forecast 2026 | Interventional Cardiology Peripheral Vascular Device Market Size 2020, Growth Drivers, Challenges, Trends And Market Dynamics Forecast 2026 Abbott Laboratories, Boston Scientific, C. R. Bard Bulletin Line Bulletin Line Market Research Reports Home COVID19 Industry Impact Latest Market Reports Market Price Analysis Market Study Us Home2020August29Interventional Cardiology Peripheral Vascular Device Market Size 2020, Growth Drivers, Challenges, Trends And Market Dynamics Forecast 2026 Abbott Laboratories, Boston Scientific, C. R. Bard Interventional Cardiology Peripheral Vascular Device Market Size 2020, Growth Drivers, Challenges, Trends And Market Dynamics Forecast 2026 Abbott Laboratories, Boston Scientific, C. R. Bard Posted On: August 29, 2020 Posted By: Hitesh Comments: 0 LOS ANGELES, United States: The report allinclusive research study global Interventional Cardiology Peripheral Vascular Device market taking account growth factors, recent trends, developments, opportunities, competitive landscape. The market analysts researchers extensive analysis global Interventional Cardiology Peripheral Vascular Device market help research methodologies PESTLE Porters Five Forces analysis. They provided accurate reliable market data useful recommendations aim help players gain insight overall present future market scenario. The Interventional Cardiology Peripheral Vascular Device report comprises indepth study potential segments including product type, application, end user contribution overall market size. Get PDF Sample Copy Report: luding TOC, List Tables Figures, Chart In addition, market revenues based region country provided Interventional Cardiology Peripheral Vascular Device report. The authors report shed light common business tactics adopted players. The leading players global Interventional Cardiology Peripheral Vascular Device market complete profiles included report. Besides that, investment opportunities, recommendations, trends trending present global Interventional Cardiology Peripheral Vascular Device market mapped report. With help report, key players global Interventional Cardiology Peripheral Vascular Device market able sound decisions plan strategies accordingly stay ahead curve. Competitive landscape critical aspect key player needs familiar with. The report throws light competitive scenario global Interventional Cardiology Peripheral Vascular Device market know competition domestic global levels. Market experts offered outline leading player global Interventional Cardiology Peripheral Vascular Device market, considering key aspects areas operation, production, product portfolio. Additionally, companies report studied based key factors company size, market share, market growth, revenue, production volume, profits. Key Players Mentioned Global Interventional Cardiology Peripheral Vascular Device Market Research Report: Abbott Laboratories, Boston Scientific, C. R. Bard, Cardinal Health, Cook Medical, Edwards Lifesciences, Medtronic Public, Terumo Global Interventional Cardiology Peripheral Vascular Device Market Segmentation Product: Interventional Cardiology Device Peripheral Vascular Device Global Interventional Cardiology Peripheral Vascular Device Market Segmentation Application: Hospital Medical Center The Interventional Cardiology Peripheral Vascular Device Market report segregated based distinct categories, product type, application, end user, region. Each segment evaluated basis CAGR, share, growth potential. In regional analysis, report highlights prospective region, estimated generate opportunities global Interventional Cardiology Peripheral Vascular Device market forthcoming years. This segmental analysis surely turn useful tool readers, stakeholders, market participants complete picture global Interventional Cardiology Peripheral Vascular Device market potential grow years come. Key questions answered report: What growth potential Interventional Cardiology Peripheral Vascular Device market? Which product segment grab lions share? Which regional market emerge frontrunner coming years? Which application segment grow robust rate? What growth opportunities emerge Interventional Cardiology Peripheral Vascular Device industry years come? What key challenges global Interventional Cardiology Peripheral Vascular Device market face future? Which leading companies global Interventional Cardiology Peripheral Vascular Device market? Which key trends positively impacting market growth? Which growth strategies considered players sustain hold global Interventional Cardiology Peripheral Vascular Device market? Request customization Report: Table Contents: 1 Interventional Cardiology Peripheral Vascular Device Market Overview 1.1 Product Overview Scope Interventional Cardiology Peripheral Vascular Device 1.2 Interventional Cardiology Peripheral Vascular Device Segment Type 1.2.1 Global Interventional Cardiology Peripheral Vascular Device Production Growth Rate Comparison Type 2020 VS 2026 1.2.2 Interventional Cardiology Device 1.2.3 Peripheral Vascular Device 1.3 Interventional Cardiology Peripheral Vascular Device Segment Application 1.3.1 Interventional Cardiology Peripheral Vascular Device Consumption Comparison Application: 2020 VS 2026 1.3.2 Hospital 1.3.3 Medical Center 1.4 Global Interventional Cardiology Peripheral Vascular Device Market Region 1.4.1 Global Interventional Cardiology Peripheral Vascular Device Market Size Estimates Forecasts Region: 2020 VS 2026 1.4.2 North America Estimates Forecasts 20152026 1.4.3 Europe Estimates Forecasts 20152026 1.4.4 China Estimates Forecasts 20152026 1.4.5 Japan Estimates Forecasts 20152026 1.5 Global Interventional Cardiology Peripheral Vascular Device Growth Prospects 1.5.1 Global Interventional Cardiology Peripheral Vascular Device Revenue Estimates Forecasts 20152026 1.5.2 Global Interventional Cardiology Peripheral Vascular Device Production Capacity Estimates Forecasts 20152026 1.5.3 Global Interventional Cardiology Peripheral Vascular Device Production Estimates Forecasts 20152026 1.6 Interventional Cardiology Peripheral Vascular Device Industry 1.7 Interventional Cardiology Peripheral Vascular Device Market Trends 2 Market Competition Manufacturers 2.1 Global Interventional Cardiology Peripheral Vascular Device Production Capacity Market Share Manufacturers 20152020 2.2 Global Interventional Cardiology Peripheral Vascular Device Revenue Share Manufacturers 20152020 2.3 Market Share Company Type Tier 1, Tier 2 Tier 3 2.4 Global Interventional Cardiology Peripheral Vascular Device Average Price Manufacturers 20152020 2.5 Manufacturers Interventional Cardiology Peripheral Vascular Device Production Sites, Area Served, Product Types 2.6 Interventional Cardiology Peripheral Vascular Device Market Competitive Situation Trends 2.6.1 Interventional Cardiology Peripheral Vascular Device Market Concentration Rate 2.6.2 Global Top 3 Top 5 Players Market Share Revenue 2.6.3 Mergers Acquisitions, Expansion 3 Production Capacity Region 3.1 Global Production Capacity Interventional Cardiology Peripheral Vascular Device Market Share Regions 20152020 3.2 Global Interventional Cardiology Peripheral Vascular Device Revenue Market Share Regions 20152020 3.3 Global Interventional Cardiology Peripheral Vascular Device Production Capacity, Revenue, Price Gross Margin 20152020 3.4 North America Interventional Cardiology Peripheral Vascular Device Production 3.4.1 North America Interventional Cardiology Peripheral Vascular Device Production Growth Rate 20152020 3.4.2 North America Interventional Cardiology Peripheral Vascular Device Production Capacity, Revenue, Price Gross Margin 20152020 3.5 Europe Interventional Cardiology Peripheral Vascular Device Production 3.5.1 Europe Interventional Cardiology Peripheral Vascular Device Production Growth Rate 20152020 3.5.2 Europe Interventional Cardiology Peripheral Vascular Device Production Capacity, Revenue, Price Gross Margin 20152020 3.6 China Interventional Cardiology Peripheral Vascular Device Production 3.6.1 China Interventional Cardiology Peripheral Vascular Device Production Growth Rate 20152020 3.6.2 China Interventional Cardiology Peripheral Vascular Device Production Capacity, Revenue, Price Gross Margin 20152020 3.7 Japan Interventional Cardiology Peripheral Vascular Device Production 3.7.1 Japan Interventional Cardiology Peripheral Vascular Device Production Growth Rate 20152020 3.7.2 Japan Interventional Cardiology Peripheral Vascular Device Production Capacity, Revenue, Price Gross Margin 20152020 4 Global Interventional Cardiology Peripheral Vascular Device Consumption Regions 4.1 Global Interventional Cardiology Peripheral Vascular Device Consumption Regions 4.1.1 Global Interventional Cardiology Peripheral Vascular Device Consumption Region 4.1.2 Global Interventional Cardiology Peripheral Vascular Device Consumption Market Share Region 4.2 North America 4.2.1 North America Interventional Cardiology Peripheral Vascular Device Consumption Countries 4.2.2 U.S. 4.2.3 Canada 4.3 Europe 4.3.1 Europe Interventional Cardiology Peripheral Vascular Device Consumption Countries 4.3.2 Germany 4.3.3 France 4.3.4 U.K. 4.3.5 Italy 4.3.6 Russia 4.4 Asia Pacific 4.4.1 Asia Pacific Interventional Cardiology Peripheral Vascular Device Consumption Region 4.4.2 China 4.4.3 Japan 4.4.4 South Korea 4.4.5 Taiwan 4.4.6 Southeast Asia 4.4.7 India 4.4.8 Australia 4.5 Latin America 4.5.1 Latin America Interventional Cardiology Peripheral Vascular Device Consumption Countries 4.5.2 Mexico 4.5.3 Brazil 5 Interventional Cardiology Peripheral Vascular Device Production, Revenue, Price Trend Type 5.1 Global Interventional Cardiology Peripheral Vascular Device Production Market Share Type 20152020 5.2 Global Interventional Cardiology Peripheral Vascular Device Revenue Market Share Type 20152020 5.3 Global Interventional Cardiology Peripheral Vascular Device Price Type 20152020 5.4 Global Interventional Cardiology Peripheral Vascular Device Market Share Price Tier 20152020: LowEnd, MidRange HighEnd 6 Global Interventional Cardiology Peripheral Vascular Device Market Analysis Application 6.1 Global Interventional Cardiology Peripheral Vascular Device Consumption Market Share Application 20152020 6.2 Global Interventional Cardiology Peripheral Vascular Device Consumption Growth Rate Application 20152020 7 Company Profiles Key Figures Interventional Cardiology Peripheral Vascular Device Business 7.1 Abbott Laboratories 7.1.1 Abbott Laboratories Interventional Cardiology Peripheral Vascular Device Production Sites Area Served 7.1.2 Abbott Laboratories Interventional Cardiology Peripheral Vascular Device Product Introduction, Application Specification 7.1.3 Abbott Laboratories Interventional Cardiology Peripheral Vascular Device Production Capacity, Revenue, Price Gross Margin 20152020 7.1.4 Abbott Laboratories Main Business Markets Served 7.2 Boston Scientific 7.2.1 Boston Scientific Interventional Cardiology Peripheral Vascular Device Production Sites Area Served 7.2.2 Boston Scientific Interventional Cardiology Peripheral Vascular Device Product Introduction, Application Specification 7.2.3 Boston Scientific Interventional Cardiology Peripheral Vascular Device Production Capacity, Revenue, Price Gross Margin 20152020 7.2.4 Boston Scientific Main Business Markets Served 7.3 C. R. Bard 7.3.1 C. R. Bard Interventional Cardiology Peripheral Vascular Device Production Sites Area Served 7.3.2 C. R. Bard Interventional Cardiology Peripheral Vascular Device Product Introduction, Application Specification 7.3.3 C. R. Bard Interventional Cardiology Peripheral Vascular Device Production Capacity, Revenue, Price Gross Margin 20152020 7.3.4 C. R. Bard Main Business Markets Served 7.4 Cardinal Health 7.4.1 Cardinal Health Interventional Cardiology Peripheral Vascular Device Production Sites Area Served 7.4.2 Cardinal Health Interventional Cardiology Peripheral Vascular Device Product Introduction, Application Specification 7.4.3 Cardinal Health Interventional Cardiology Peripheral Vascular Device Production Capacity, Revenue, Price Gross Margin 20152020 7.4.4 Cardinal Health Main Business Markets Served 7.5 Cook Medical 7.5.1 Cook Medical Interventional Cardiology Peripheral Vascular Device Production Sites Area Served 7.5.2 Cook Medical Interventional Cardiology Peripheral Vascular Device Product Introduction, Application Specification 7.5.3 Cook Medical Interventional Cardiology Peripheral Vascular Device Production Capacity, Revenue, Price Gross Margin 20152020 7.5.4 Cook Medical Main Business Markets Served 7.6 Edwards Lifesciences 7.6.1 Edwards Lifesciences Interventional Cardiology Peripheral Vascular Device Production Sites Area Served 7.6.2 Edwards Lifesciences Interventional Cardiology Peripheral Vascular Device Product Introduction, Application Specification 7.6.3 Edwards Lifesciences Interventional Cardiology Peripheral Vascular Device Production Capacity, Revenue, Price Gross Margin 20152020 7.6.4 Edwards Lifesciences Main Business Markets Served 7.7 Medtronic Public 7.7.1 Medtronic Public Interventional Cardiology Peripheral Vascular Device Production Sites Area Served 7.7.2 Medtronic Public Interventional Cardiology Peripheral Vascular Device Product Introduction, Application Specification 7.7.3 Medtronic Public Interventional Cardiology Peripheral Vascular Device Production Capacity, Revenue, Price Gross Margin 20152020 7.7.4 Medtronic Public Main Business Markets Served 7.8 Terumo 7.8.1 Terumo Interventional Cardiology Peripheral Vascular Device Production Sites Area Served 7.8.2 Terumo Interventional Cardiology Peripheral Vascular Device Product Introduction, Application Specification 7.8.3 Terumo Interventional Cardiology Peripheral Vascular Device Production Capacity, Revenue, Price Gross Margin 20152020 7.8.4 Terumo Main Business Markets Served 8 Interventional Cardiology Peripheral Vascular Device Manufacturing Cost Analysis 8.1 Interventional Cardiology Peripheral Vascular Device Key Raw Materials Analysis 8.1.1 Key Raw Materials 8.1.2 Key Raw Materials Price Trend 8.1.3 Key Suppliers Raw Materials 8.2 Proportion Manufacturing Cost Structure 8.3 Manufacturing Process Analysis Interventional Cardiology Peripheral Vascular Device 8.4 Interventional Cardiology Peripheral Vascular Device Industrial Chain Analysis 9 Marketing Channel, Distributors Customers 9.1 Marketing Channel 9.2 Interventional Cardiology Peripheral Vascular Device Distributors List 9.3 Interventional Cardiology Peripheral Vascular Device Customers 10 Market Dynamics 10.1 Market Trends 10.2 Opportunities Drivers 10.3 Challenges 10.4 Porters Five Forces Analysis 11 Production Supply Forecast 11.1 Global Forecasted Production Interventional Cardiology Peripheral Vascular Device 20212026 11.2 Global Forecasted Revenue Interventional Cardiology Peripheral Vascular Device 20212026 11.3 Global Forecasted Price Interventional Cardiology Peripheral Vascular Device 20212026 11.4 Global Interventional Cardiology Peripheral Vascular Device Production Forecast Regions 20212026 11.4.1 North America Interventional Cardiology Peripheral Vascular Device Production, Revenue Forecast 20212026 11.4.2 Europe Interventional Cardiology Peripheral Vascular Device Production, Revenue Forecast 20212026 11.4.3 China Interventional Cardiology Peripheral Vascular Device Production, Revenue Forecast 20212026 11.4.4 Japan Interventional Cardiology Peripheral Vascular Device Production, Revenue Forecast 20212026 12 Consumption Demand Forecast 12.1 Global Forecasted Consumption Demand Analysis Interventional Cardiology Peripheral Vascular Device 12.2 North America Forecasted Consumption Interventional Cardiology Peripheral Vascular Device Country 12.3 Europe Market Forecasted Consumption Interventional Cardiology Peripheral Vascular Device Country 12.4 Asia Pacific Market Forecasted Consumption Interventional Cardiology Peripheral Vascular Device Regions 12.5 Latin America Forecasted Consumption Interventional Cardiology Peripheral Vascular Device 13 Forecast Type Application 20212026 13.1 Global Production, Revenue Price Forecast Type 20212026 13.1.1 Global Forecasted Production Interventional Cardiology Peripheral Vascular Device Type 20212026 13.1.2 Global Forecasted Revenue Interventional Cardiology Peripheral Vascular Device Type 20212026 13.1.2 Global Forecasted Price Interventional Cardiology Peripheral Vascular Device Type 20212026 13.2 Global Forecasted Consumption Interventional Cardiology Peripheral Vascular Device Application 20212026 14 Research Finding Conclusion 15 Methodology Data Source 15.1 MethodologyResearch Approach 15.1.1 Research ProgramsDesign 15.1.2 Market Size Estimation 15.1.3 Market Breakdown Data Triangulation 15.2 Data Source 15.2.1 Secondary Sources 15.2.2 Primary Sources 15.3 Author List 15.4 Disclaimer : QY Research established 2007, focus custom research, management consulting, IPO consulting, industry chain research, data base seminar services. The company owned large basic data base National Bureau statistics database, Customs import export database, Industry Association Database etc, experts resources included energy automotive chemical medical ICT consumer goods etc. Post navigation Prev PostNext Post News About usHome Us Know Our Staff Policies Editorial Policy Use Bulletin Line Everestthemes | 2,020 | [
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https://www.forbesindia.com/article/microsoft-ai-for-all/invaluable-insights-into-artificial-intelligence-from-the-039ai-for-all039-tweetathon/58567/1 | 2020-04-01T00:00:00 | en | Invaluable insights into artificial intelligence from the 'AI for All' tweetathon |
Invaluable insights into artificial intelligence from the 'AI for All' tweetathon
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Invaluable insights into artificial intelligence from the 'AI for All' tweetathon
Published: Mar 31, 2020 09:08:43 PM IST
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Artificial Intelligence (AI) is gaining significance amongst business and technology leaders and global policy makers as a technology tool of the future. Society, at large, has also become increasingly curious about the potential of this new-age solution and its ability to deliver benefits for the greater good. Against this backdrop, pioneering work is already underway across different sectors of the Indian economy.
Within this context, Forbes India, in partnership with Microsoft India, hosted the Forbes India ‘AI for All’ Tweetathon, on March 31, 2020, from 4 to 6 pm. This unique event sought to explore how artificial intelligence is impacting various industries and changing the landscape and dynamics in every sector.
Moderated by Forbes India’s Editor (Technology) Harichandan Arakali, the lead participants comprised trail-blazing professionals from the technology arena - Sudipta Ghosh, Partner and Leader – Data and Analytics, PWC; Sanjoe Jose, CEO, Talview; Rohit Kumar, Executive Vice President, Paladion Networks; Mukesh Sharma, CTO, PaisaBazaar; Jayesh Ranjan, IT Secretary, Telangana; Anand Subhash, Founder, ConceptBytes; Subbu Viswanathan, Co-founder and CEO, Disprz and Ravi Shankar, Co-founder and President, Decision Point – each of whom has made significant progress in the AI space.
Tweeting hands on experience, these experts revealed that with the help of AI, financial services today are able to resolve genuine customer pain-points that have existed for years. Further, whether it is innovations in products, processes or services, AI is making financial products and the interactions around them easy and completely seamless. Most importantly, AI has been able to match borrowers'
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| Invaluable insights into artificial intelligence from the 'AI for All' tweetathon | Invaluable insights artificial intelligence AI All tweetathon Home About Ai Awards 2.0 Articles Jury Articles Invaluable insights artificial intelligence AI All tweetathon Published: Mar 31, 2020 09:08:43 PM IST Share Artificial Intelligence AI gaining significance business technology leaders global policy makers technology tool future. Society, large, increasingly curious potential newage solution ability deliver benefits greater good. Against backdrop, pioneering work underway different sectors Indian economy. Within context, Forbes India, partnership Microsoft India, hosted Forbes India AI All Tweetathon, March 31, 2020, 4 6 pm. This unique event sought explore artificial intelligence impacting industries changing landscape dynamics sector. Moderated Forbes Indias Editor Technology Harichandan Arakali, lead participants comprised trailblazing professionals technology arena Sudipta Ghosh, Partner Leader Data Analytics, PWC; Sanjoe Jose, CEO, Talview; Rohit Kumar, Executive Vice President, Paladion Networks; Mukesh Sharma, CTO, PaisaBazaar; Jayesh Ranjan, IT Secretary, Telangana; Anand Subhash, Founder, ConceptBytes; Subbu Viswanathan, Cofounder CEO, Disprz Ravi Shankar, Cofounder President, Decision Point significant progress AI space. Tweeting hands experience, experts revealed help AI, financial services today able resolve genuine customer painpoints existed years. Further, innovations products, processes services, AI making financial products interactions easy completely seamless. Most importantly, AI able match borrowers . . | 2,020 | [
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https://eurowire.co/news/1377668/artificial-intelligence-in-chipset-market-business-growth-future-market-investment-and-strategically-analyzed-facts-and-figures/ | 2020-11-22T00:00:00 | en | Artificial Intelligence in Chipset Market Business Growth, Future Market Investment And Strategically Analyzed Facts And Figures – Eurowire |
Artificial Intelligence in Chipset Market Business Growth, Future Market Investment And Strategically Analyzed Facts And Figures – Eurowire
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HomeNewsArtificial Intelligence in Chipset Market Business Growth, Future Market Investment And Strategically Analyzed Facts And Figures
Artificial Intelligence in Chipset Market Business Growth, Future Market Investment And Strategically Analyzed Facts And Figures
Posted On: November 22, 2020
Posted By: quince
Comments: 0
“Industry Scenario of Artificial Intelligence in Chipset Market
The market study includes basic data, carefully formulated forecasts, and offers important and supplementary market-relevant information. The market study covers a detailed overview of the global market for the Artificial Intelligence in Chipset, trends in business growth, including current market flow and trend analysis, market share, descriptive graphs, sales volume, and price increases. For a certain duration (2020-2028), the writers of this market study validate the evaluation and potential of the market. The analysis makes this market research especially useful for prospective investors in the global market. The market is further classified based on the business vertical, major manufacturers, product type, and across different regions.
Click here to get sample of the premium report: https://www.quincemarketinsights.com/request-sample-63650?utm_source= ew/hp
COVID-19 Impact on the Market
With tremendous effects, COVID-19 has affected the global market as it has exacerbated the prior market conditions. New threats and hazards have emerged for industries struggling to cope with the onslaught of the COVID-19 outbreak. The pandemic has had a lasting influence on the world economy and on every aspect of life worldwide. This has many ramifications for future prospects. The Artificial Intelligence in Chipset market report provides a detailed overview of the ongoing effects of the pandemic on the global market and its future recovery.
Major Market Study Features
Artificial Intelligence in Chipset Market
Overview of Market Study:
Industrial policy has also been included in a detailed study of enterprise competition patterns, market status, pros and cons of enterprise products, regional industrial design features, business growth trends, and monetary indicators. The study categorizes the global market breakdown data of Artificial Intelligence in Chipset by type, country, suppliers, and application, and also analyses market share, market status, growth rate, market dynamics, market projections, opportunities, threats, and challenges, and distribution channels, barriers to entry, suppliers, and Porter’s Five Forces Analysis.
Business Research Insights:
The market analysis offers a broader perspective on many factors guiding or compelling the growth of the global Artificial Intelligence in Chipset market. The study pays much attention to the analysis of the gross profit, production, price, and revenue of the global market. The sources of raw materials, the study of the industry sector, and downstream suppliers are also added in the report.
Get ToC for the overview of the premium report https://www.quincemarketinsights.com/request-toc-63650?utm_source=ew/hp
Segment in the Business
Furthermore, the market researchers analyzed the segments of high development, including end-users, application, product type, and CAGRs, share, and scale. The Global Artificial Intelligence in Chipset market The analysis highlights revenue generation, performance, market share, and regional demand for each segment on the basis of the product form. Based on product the market has been mainly categorized as By Chipset Type (CPU, GPU, FPGA, ASIC, Others), By Workload Domain(Training, Inference), By Computing Technology (Cloud AI Computing, Edge AI Computing), By Vertical (Healthcare, Manufacturing, Automotive, Retail & E-Commerce, Marketing, Consumer Electronics, BFSI, Other).
Business in the Regional:
North America (Canada, United States, and Mexico), Europe (France, Germany, United Kingdom, Italy, and Russia), Asia-Pacific (Japan, China, Korea, Southeast Asia, and India), Middle East and Africa (UAE, Saudi Arabia, Egypt, Southeast Asia, and India), South America(Brazil, Argentina, Colombia). The regional segment analysis shows the quantity of regional output, demand quantity, revenue, and growth rate from 2020-2028 covers:
Competitive Backgrounds:
Competitive trends covering global Artificial Intelligence in Chipset market developments, potential growth, market opportunities, future technologies, and future investments are described in the study. The market study identifies the leading companies, along with their product portfolios, marketing strategy, latest trends, company profile, contact information, and pricing structure, potential, and market strategies. The report also provides an analysis of the companies involved in the global Artificial Intelligence in Chipset market, such as Intel, NVIDIA among Others.
Speak to analyst before buying this report https://www.quincemarketinsights.com/enquiry-before-buying-63650?utm_source=ew/hp
Highlights of the Market
This Artificial Intelligence in Chipset market research covers the suppliers’ data, including price, shipping, sales, gross profit, distribution of the company, etc. Such knowledge helps the user to consider the rivals. This market research also covers all areas and countries of the world, demonstrating the status of the regional growth, including market size, volume, and quality, as well as price data.
Moreover, segmentation is also covered in the market study, including end customer, service, and other segments. It also covers different categories according to quantity, size of the market, and value.
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| Artificial Intelligence in Chipset Market Business Growth, Future Market Investment And Strategically Analyzed Facts And Figures | Artificial Intelligence Chipset Market Business Growth, Future Market Investment And Strategically Analyzed Facts And Figures Eurowire Eurowire HomeNewsArtificial Intelligence Chipset Market Business Growth, Future Market Investment And Strategically Analyzed Facts And Figures Artificial Intelligence Chipset Market Business Growth, Future Market Investment And Strategically Analyzed Facts And Figures Posted On: November 22, 2020 Posted By: quince Comments: 0 Industry Scenario Artificial Intelligence Chipset Market The market study includes basic data, carefully formulated forecasts, offers important supplementary marketrelevant information. The market study covers detailed overview global market Artificial Intelligence Chipset, trends business growth, including current market flow trend analysis, market share, descriptive graphs, sales volume, price increases. For certain duration 20202028, writers market study validate evaluation potential market. The analysis makes market research especially useful prospective investors global market. The market classified based business vertical, major manufacturers, product type, different regions. Click sample premium report: ewhp COVID19 Impact Market With tremendous effects, COVID19 affected global market exacerbated prior market conditions. New threats hazards emerged industries struggling cope onslaught COVID19 outbreak. The pandemic lasting influence world economy aspect life worldwide. This ramifications future prospects. The Artificial Intelligence Chipset market report provides detailed overview ongoing effects pandemic global market future recovery. Major Market Study Features Artificial Intelligence Chipset Market Overview Market Study: Industrial policy included detailed study enterprise competition patterns, market status, pros cons enterprise products, regional industrial design features, business growth trends, monetary indicators. The study categorizes global market breakdown data Artificial Intelligence Chipset type, country, suppliers, application, analyses market share, market status, growth rate, market dynamics, market projections, opportunities, threats, challenges, distribution channels, barriers entry, suppliers, Porters Five Forces Analysis. Business Research Insights: The market analysis offers broader perspective factors guiding compelling growth global Artificial Intelligence Chipset market. The study pays attention analysis gross profit, production, price, revenue global market. The sources raw materials, study industry sector, downstream suppliers added report. Get ToC overview premium report Segment Business Furthermore, market researchers analyzed segments high development, including endusers, application, product type, CAGRs, share, scale. The Global Artificial Intelligence Chipset market The analysis highlights revenue generation, performance, market share, regional demand segment basis product form. Based product market mainly categorized By Chipset Type CPU, GPU, FPGA, ASIC, Others, By Workload DomainTraining, Inference, By Computing Technology Cloud AI Computing, Edge AI Computing, By Vertical Healthcare, Manufacturing, Automotive, Retail ECommerce, Marketing, Consumer Electronics, BFSI, Other. Business Regional: North America Canada, United States, Mexico, Europe France, Germany, United Kingdom, Italy, Russia, AsiaPacific Japan, China, Korea, Southeast Asia, India, Middle East Africa UAE, Saudi Arabia, Egypt, Southeast Asia, India, South AmericaBrazil, Argentina, Colombia. The regional segment analysis shows quantity regional output, demand quantity, revenue, growth rate 20202028 covers: Competitive Backgrounds: Competitive trends covering global Artificial Intelligence Chipset market developments, potential growth, market opportunities, future technologies, future investments described study. The market study identifies leading companies, product portfolios, marketing strategy, latest trends, company profile, contact information, pricing structure, potential, market strategies. The report provides analysis companies involved global Artificial Intelligence Chipset market, Intel, NVIDIA Others. Speak analyst buying report Highlights Market This Artificial Intelligence Chipset market research covers suppliers data, including price, shipping, sales, gross profit, distribution company, etc. Such knowledge helps user consider rivals. This market research covers areas countries world, demonstrating status regional growth, including market size, volume, quality, price data. Moreover, segmentation covered market study, including end customer, service, segments. It covers different categories according quantity, size market, value. ABOUT US: QMI comprehensive collection market research products services available web. We deliver reports virtually major publications refresh list regularly provide immediate online access worlds extensive uptodate archive professional insights global markets, companies, goods, patterns. : Quince Market Insights Office No A109 Pune, Maharashtra 411028 Phone: APAC 91 706 672 4848 US 1 208 405 2835 UK 44 1444 39 0986 Email: [emailprotected] Web: Artificial Intelligence ChipsetArtificial Intelligence Chipset MarketArtificial Intelligence Chipset Market GrowthArtificial Intelligence Chipset Market ShareArtificial Intelligence Chipset Market sizeArtificial Intelligence Chipset Market TrendsMarket StrategiesPDF ReportRevenue OutlookU.S Artificial Intelligence Chipset Market Post navigation Prev PostNext Post Recent Posts Linear Digital Servo Press Market size, development, key opportunity, application forecast 2026 Animation Production Market Competitive Analysis, New Business Developments Top Companies: Live Attenuated Vaccines Market COVID 19 Impacted InDepth Analysis including key players GlaxoSmithKline, Merck, Pfizer, Astellas Pharma, Johnson Johnson, CSL, Sanofi, Serum Institute Of India Continuously Variable Transmission Oil Market covid19 analysis SWOT analysis, key indicators, forecast 2026 Appointment Schedule Software Market Will Reflect Significant Growth Prospects US Mn 20202025 Major Key Player: Eurowire Everestthemes | 2,020 | [
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] | 1 | NEGATIVE | 93 |
https://www.nsinsurance.com/news/ageas-tractables-car-damage-uk/ | 2020-03-27T00:00:00 | en | Ageas using Tractable’s AI solution to estimate car damage in the UK |
Ageas using Tractable’s AI solution to estimate car damage in the UK
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News
Ageas deploys Tractable’s AI solution for car damage assessments
General InsuranceTechnologyArtificial Intelligence
By NS Insurance Staff Writer 27 Mar 2020
Ageas’ use of Tractable’s AI solution can help in providing quick and accurate assessment of car damage, speeding claims process for policyholders
Ageas claims director Robin Challand (Credit: Ageas Insurance Limited.) Belgian insurance company Ageas announced that it has partnered with Tractable, an artificial intelligence (AI) solutions developer, for end-to-end car damage assessments and estimates in the UK.
Tractable’s AI-based solution is said to help Ageas in performing some of the complex tasks that a human assessor carries out while evaluating vehicle damage.
By identifying the affected parts of the vehicle and the extent of the damage, the AI solution generates a full estimate including the repair, paint and blend operations along with the cost and labour hours.
In addition, the solution is also designed in such a way that it can accelerate the task involved in generating estimates.
The solution enables policyholders to receive decisions on the next steps from Ageas within minutes, after they submit photographs of an accident using a smartphone.
Ageas and Tractable conducted trials for AI solution in the UK last year
The Belgian insurer and Tractable conducted trials for the solutions in the UK, last year. Following the trials showed positive results, the companies now plan to scale the use of the technology to resolve thousands of auto claims every month.
Ageas claims director Robin Challand said: “At Ageas, we work to make insurance easy for our customers by delivering a best-in-class service. We look to digital innovation to help us deliver this.
“We realised that Tractable’s cutting-edge technology could make a real difference to our customers in the aftermath of an accident and by using Tractable’s AI we have improved our claims experience by supporting customers when they report claims and assisting our repairers in the early assessment of what’s required.”
Tractable’s AI-solution uses deep learning for computer vision and also include machine learning techniques. The solution is claimed to have been trained on several millions of photographs on car damages and the algorithms learn from experience in analysing a large variety of different examples.
The technology company’s AI offering is claimed to have processed over $1bn in auto claims for the world’s major insurers, including Covéa, an auto insurer in the French market, Tokio Marine in Japan, and Talanx-Warta in Poland.
Tractable co-founder Adrien Cohen said: “Ageas using Tractable’s AI to generate end-to-end estimates is a breakthrough for the insurance sector worldwide. By harnessing AI at the beginning of the claims process to assess damage and generate estimates, we accelerate every part of it, creating efficiencies for the insurer and greater clarity for the policy holder.
“With this partnership with Ageas, computer vision is today making a positive difference for people in the real world, by helping them recover from accidents faster.”
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| Ageas using Tractable’s AI solution to estimate car damage in the UK | Ageas Tractables AI solution estimate car damage UK Insurance ServicesNews Products, Deals, Mergers AcquistionsInsurerRegulatoryRisk ManagementBrokingUnderwritingIntermediariesContract NewsDeal NewsSuppliersWhite PapersVideosCompany Insight Life InsuranceNews PensionProductsContract NewsDeal NewsSuppliersWhite PapersVideosCompany Insight TechnologyNews AutomationDronesBig DataBlockchainAnalytical ApplicationsArtificial IntelligenceBI ToolsPredictive AnalyticsRealtime Business IntelligenceSocial AnalyticsChatbotsMachine Machine CommunicationMachine LearningSecurityDeal NewsContract NewsSuppliersWhite PapersVideosCompany Insight General InsuranceNews Accident HealthcareDistributionClaimsCommercialPersonalReinsuranceContract NewsDeal NewsSuppliersWhite PapersVideosCompany Insight CompaniesSuppliersInsurance ServicesLife InsuranceTechnologyGeneral InsuranceProductsWhite PapersVideosCompany Insight Disruptors Events Webinars Home General Insurance Company News x SEARCH x We recently upgraded technology platform. Due change seeing message time sure reset password Forgot password Link. Remember LOGIN Dont account? x News Ageas deploys Tractables AI solution car damage assessments General InsuranceTechnologyArtificial Intelligence By NS Insurance Staff Writer 27 Mar 2020 Ageas use Tractables AI solution help providing quick accurate assessment car damage, speeding claims process policyholders Ageas claims director Robin Challand Credit: Ageas Insurance Limited. Belgian insurance company Ageas announced partnered Tractable, artificial intelligence AI solutions developer, endtoend car damage assessments estimates UK. Tractables AIbased solution said help Ageas performing complex tasks human assessor carries evaluating vehicle damage. By identifying affected parts vehicle extent damage, AI solution generates estimate including repair, paint blend operations cost labour hours. In addition, solution designed way accelerate task involved generating estimates. The solution enables policyholders receive decisions steps Ageas minutes, submit photographs accident smartphone. Ageas Tractable conducted trials AI solution UK year The Belgian insurer Tractable conducted trials solutions UK, year. Following trials showed positive results, companies plan scale use technology resolve thousands auto claims month. Ageas claims director Robin Challand said: At Ageas, work insurance easy customers delivering bestinclass service. We look digital innovation help deliver this. We realised Tractables cuttingedge technology real difference customers aftermath accident Tractables AI improved claims experience supporting customers report claims assisting repairers early assessment whats required. Tractables AIsolution uses deep learning vision include machine learning techniques. The solution claimed trained millions photographs car damages algorithms learn experience analysing large variety different examples. The technology companys AI offering claimed processed 1bn auto claims worlds major insurers, including Cova, auto insurer French market, Tokio Marine Japan, TalanxWarta Poland. Tractable cofounder Adrien Cohen said: Ageas Tractables AI generate endtoend estimates breakthrough insurance sector worldwide. By harnessing AI beginning claims process assess damage generate estimates, accelerate it, creating efficiencies insurer greater clarity policy holder. With partnership Ageas, vision today making positive difference people real world, helping recover accidents faster. Do interesting content share us? Enter email address touch. Related Article FWD Philippines adopts digital solution Pacific Life Res UnderwriteMe RECOMMENDED COMPANIES Sequel Business Solutions Capgemini Financial Services DataFlux Icon View More MOST READ 1 Ageas deploys Tractables AI solution car damage assessments 2 I dont battle platforms Whitespace chief electronic risk placing competition Lloyds 3 What Dinghy? Profiling Monzo insurance bought NSM Insurance acquisition Kingsbridge Group 4 UK freelancer insurance giant Kingsbridge Group announces sale US firm 5 How big data OEMs helping motor insurance sector price risk process claims Recommended Whitepaper Eclipse Carriers, Brokers MGAs TechnologyAnalytical Applications Its Imperative: A Data Governance Primer Solvency II Beyond TechnologyBig Data Achieving Measurable Gains Automating Claims Processing TechnologyBig Data View More Related News Ageas deploys Tractables AI solution car damage assessments General InsuranceTechnologyArtificial Intelligence Zurich UK partners Carpe Data fight fraud claims General InsuranceClaimsTechnology Chaucer Artificial Labs deliver generation underwriting platform new strategic partnership TechnologyArtificial Intelligence About Advertise GDPR Lost Password Back Get new password Lost Password? Registration disabled. | 2,020 | [
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https://www.zacks.com/stock/news/1097322/intel-intc-spruces-up-ai-capabilities-to-challenge-amd-amp-nvda | 2020-11-05T00:00:00 | en | Intel (INTC) Spruces Up AI Capabilities to Challenge AMD & NVDA - November 5, 2020 - Zacks.com |
Intel (INTC) Spruces Up AI Capabilities to Challenge AMD & NVDA - November 5, 2020 - Zacks.com
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Intel (INTC) Spruces Up AI Capabilities to Challenge AMD & NVDA
Zacks Equity Research
November 05, 2020
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Intel (INTC - Free Report) has reportedly acquired Cnvrg.io — an Israel-based company that specializes in development of advanced machine learning (ML) models.The TechCrunch article, citing confirmation from an Intel’s spokesperson, states that the startup will function as “an independent Intel company.”However, neither has there been an official statement regarding the development, nor the terms of the deal have been revealed. Nevertheless, per Pitchbook data, Cnvrg.io has raised funds worth $8 million and was valued at $17.8 million.The chipmaker has remained focused on accelerating its presence in the fast-growing AI silicon market and bringing AI technology down to the chip level. The company upholds the notion that a broad mix of technology is essential for harnessing the power of ML and AI.In fact, the semiconductor giant sealed SigOpt acquisition deal in the past week. Notably, San Francisco, CA-based SigOpt offers an optimization platform to aid data scientists run AI-driven modeling and simulations workloads in an enhanced manner.Strategic Bets to Enhance AI Expertise Hold PromiseRapid proliferation of AI into hardware system calls for effective solutions to support processing of workloads. According to IDC data, worldwide spending on AI systems is projected to be $50.1 billion in 2020. The research firm expects the figure to hit $110 billion in 2024 at a CAGR of 20.1% between 2019 and 2024.This growth opportunity is alluring Intel and other semiconductor companies to deliver efficient solutions aimed at supporting complex AI workloads and enhance performance.Intel is leaving no stone unturned to ramp up its efforts in the AI trained inference server chip market. The company’s latest acquisitions follow a string of AI-related buyouts undertaken in the past few years that include — Habana, Movidius, Nervana, Altera and Mobileye.These buyouts are expected to aid Intel in bolstering its portfolio of AI accelerators in its data center business, taking the fight to NVIDIA (NVDA - Free Report) and Advanced Micro Devices (AMD - Free Report) .NVIDIA’s Arm Acquisition & AMD’s Xilinx Deal to Spice Up the GameBoth NVIDIA and AMD are doubling down on end-to-end stack development to enhance presence in the data center end-market.NVIDIA’s impending acquisition of Arm Holdings for $40 billion holds potential to guide the chip industry to new highs and deserves a special mention in this regard. To quote NVIDIA’s CEO, Jensen Huang's views on the deal, “We’re uniting NVIDIA’s leading AI computing with Arm’s vast ecosystem.” NVIDIA Corporation Revenue (Quarterly) NVIDIA Corporation revenue-quarterly | NVIDIA Corporation QuoteContinuing momentum of Arm-based devices coming to the market and synergies from NVIDIA’s AI expertise are likely to intensify competition in the mobile segment, which is a headwind for Intel. NVIDIA currently carries a Zacks Rank #2 (Buy). You can see the complete list of today’s Zacks #1 Rank (Strong Buy) stocks here.Meanwhile, AMD is benefiting from solid uptake of Ryzen and EPYC server processors, courtesy of increasing proliferation of AI and ML in industries like cloud gaming and supercomputing domain. In a bid to capitalize on these gains, it has entered into a definitive agreement to acquire Xilinx (XLNX - Free Report) for $35 billion in an all-stock transaction.Advanced Micro Devices, Inc. Revenue (Quarterly) Advanced Micro Devices, Inc. revenue-quarterly | Advanced Micro Devices, Inc. QuoteBuyout of Xilinx, the pioneer in field-programmable gate arrays (FPGAs) chips, will boost AMD's data center business, which is benefiting from coronavirus crisis triggered cloud computing boom. AMD, currently carrying a Zacks Rank #3 (Hold), expects the acquisition to bolster its total addressable market (or TAM) to $110 billion.With the competition intensifying in the consolidating chip industry, it becomes imperative for Intel to make strategic investments that help it expand AI capabilities, and increase competitiveness of its processors in the data center vertical.The buyouts are anticipated to augment Intel’s portfolio by adding AI and ML capabilities to a high-performance training processor family and standards-based programming environment to cater to AI workloads. Intel’s combined expertise is likely to aid it in delivering best in-class AI products to meet diverse performance needs of customers.This is expected to aid Intel in delivering advanced inference performance with focus on throughput and real-time latency in a highly competitive power envelope. Such upsides are likely to strengthen Intel’s footing in the AI space.Intel Corporation Revenue (Quarterly) Intel Corporation revenue-quarterly | Intel Corporation QuoteMarkedly, the company expects the AI space to be worth more than $25 billion by 2024, and AI silicon in the data center is projected to hit $10 billion in the same time frame.In fact, the company has rolled out Neural Network processors to support deep learning processes. Moreover, Intel’s Movidius visual processing unit is expected to accelerate complex computer vision, edge media and inference applications. Also, increasing investments in development of inference-enabled chips are anticipated to boost Intel’s self-driving initiatives and register new deal wins from Mobileye. Intel currently carries a Zacks Rank #3.These Stocks Are Poised to Soar Past the PandemicThe COVID-19 outbreak has shifted consumer behavior dramatically, and a handful of high-tech companies have stepped up to keep America running. Right now, investors in these companies have a shot at serious profits. For example, Zoom jumped 108.5% in less than 4 months while most other stocks were sinking.Our research shows that 5 cutting-edge stocks could skyrocket from the exponential increase in demand for “stay at home” technologies. This could be one of the biggest buying opportunities of this decade, especially for those who get in early.See the 5 high-tech stocks now>>
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| Intel (INTC) Spruces Up AI Capabilities to Challenge AMD & NVDA | Intel INTC Spruces Up AI Capabilities Challenge AMD NVDA November 5, 2020 Skip main content We use cookies understand use site improve experience. This includes personalizing content advertising. To learn more, click here. By continuing use site, accept use cookies, revised Service. I accept X Join Member Username Email Address Password Keep Me Signed In What Remember Me do? Dont Know Your Password? 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Start here. Join Member Username Email Address Password Keep Me Signed In What Remember Me do? Dont Know Your Password? Close window Help You directed ZacksTrade, division LBMZ Securities licensed brokerdealer. ZacksTrade separate companies. The web link companies solicitation offer invest particular security type security. ZacksTrade endorse adopt particular investment strategy, analyst opinionratingreport approach evaluating indiv idual securities. If wish ZacksTrade, click OK. If not, click Cancel. OK Cancel Back Image: Bigstock Intel INTC Spruces Up AI Capabilities Challenge AMD NVDA Zacks Equity Research November 05, 2020 NVDA INTC AMD XLNX Trades 1 You follow Analyst Blog edit You follow Zacks Equity Research edit What like follow? Zacks Equity Research Analyst Blog Cancel Read MoreHide Full Article Intel INTC Free Report reportedly acquired Israelbased company specializes development advanced machine learning ML models.The TechCrunch article, citing confirmation Intels spokesperson, states startup function independent Intel company.However, official statement development, terms deal revealed. Nevertheless, Pitchbook data, raised funds worth 8 million valued 17.8 million.The chipmaker remained focused accelerating presence fastgrowing AI silicon market bringing AI technology chip level. The company upholds notion broad mix technology essential harnessing power ML AI.In fact, semiconductor giant sealed SigOpt acquisition deal past week. Notably, San Francisco, CAbased SigOpt offers optimization platform aid data scientists run AIdriven modeling simulations workloads enhanced manner.Strategic Bets Enhance AI Expertise Hold PromiseRapid proliferation AI hardware calls effective solutions support processing workloads. According IDC data, worldwide spending AI systems projected 50.1 billion 2020. The research firm expects figure hit 110 billion 2024 CAGR 20.1 2019 2024.This growth opportunity alluring Intel semiconductor companies deliver efficient solutions aimed supporting complex AI workloads enhance performance.Intel leaving stone unturned ramp efforts AI trained inference server chip market. The companys latest acquisitions follow string AIrelated buyouts undertaken past years include Habana, Movidius, Nervana, Altera Mobileye.These buyouts expected aid Intel bolstering portfolio AI accelerators data center business, taking fight NVIDIA NVDA Free Report Advanced Micro Devices AMD Free Report .NVIDIAs Arm Acquisition AMDs Xilinx Deal Spice Up GameBoth NVIDIA AMD doubling endtoend stack development enhance presence data center endmarket.NVIDIAs impending acquisition Arm Holdings 40 billion holds potential guide chip industry new highs deserves special mention regard. To quote NVIDIAs CEO, Jensen Huangs views deal, Were uniting NVIDIAs leading AI computing Arms vast ecosystem.NVIDIA Corporation Revenue Quarterly NVIDIA Corporation revenuequarterly NVIDIA Corporation QuoteContinuing momentum Armbased devices coming market synergies NVIDIAs AI expertise likely intensify competition mobile segment, headwind Intel. NVIDIA currently carries Zacks Rank 2 Buy. You complete list todays Zacks 1 Rank Strong Buy stocks here.Meanwhile, AMD benefiting solid uptake Ryzen EPYC server processors, courtesy increasing proliferation AI ML industries like cloud gaming supercomputing domain. In bid capitalize gains, entered definitive agreement acquire Xilinx XLNX Free Report 35 billion allstock transaction.Advanced Micro Devices, . Revenue Quarterly Advanced Micro Devices, . revenuequarterly Advanced Micro Devices, . QuoteBuyout Xilinx, pioneer fieldprogrammable gate arrays FPGAs chips, boost AMDs data center business, benefiting coronavirus crisis triggered cloud computing boom. AMD, currently carrying Zacks Rank 3 Hold, expects acquisition bolster total addressable market TAM 110 billion.With competition intensifying consolidating chip industry, imperative Intel strategic investments help expand AI capabilities, increase competitiveness processors data center vertical.The buyouts anticipated augment Intels portfolio adding AI ML capabilities highperformance training processor family standardsbased programming environment cater AI workloads. Intels combined expertise likely aid delivering best inclass AI products meet diverse performance needs customers.This expected aid Intel delivering advanced inference performance focus throughput realtime latency highly competitive power envelope. Such upsides likely strengthen Intels footing AI space.Intel Corporation Revenue Quarterly Intel Corporation revenuequarterly Intel Corporation QuoteMarkedly, company expects AI space worth 25 billion 2024, AI silicon data center projected hit 10 billion time frame.In fact, company rolled Neural Network processors support deep learning processes. Moreover, Intels Movidius visual processing unit expected accelerate complex vision, edge media inference applications. Also, increasing investments development inferenceenabled chips anticipated boost Intels selfdriving initiatives register new deal wins Mobileye. Intel currently carries Zacks Rank 3.These Stocks Are Poised Soar Past PandemicThe COVID19 outbreak shifted consumer behavior dramatically, handful hightech companies stepped America running. Right now, investors companies shot profits. For example, Zoom jumped 108.5 4 months stocks sinking.Our research shows 5 cuttingedge stocks skyrocket exponential increase demand stay home technologies. This biggest buying opportunities decade, especially early.See 5 hightech stocks now>> More InDepth Research Zacks Normally 25 click receive report FREE: NVIDIA Corporation NVDA free report >>Intel Corporation INTC free report >>Advanced Micro Devices, . AMD free report >>Xilinx, . XLNX free report >> Published cloudcomputing computers semiconductor techstocks Zacks 7 BestStrong Buy Stocks November, 2020 Experts chosen 7 stocks 220 Zacks Rank 1 Strong Buys highest potential increase price quickly amid global health crisis. A recent pick, Maxar, skyrocketed 178.7 3 months. For 32 years, Strong Buy list averaged returns twice market. See 7 best stocks FREE. No cost, obligation buy ever. Up Next Radian Group RDN Q3 Earnings Beat Estimates, Tumble YY Most Read Investing Coming Data Revolution 5 Tech ETFs Leading PostElection Rally New Strong Buy Stocks November 5th 5 Earnings Charts Popular Robinhood Stocks Wall Street Jumps Without Blue Red Wave: What Awaits? Quick Links Services Account Types Premium Services Zacks Rank Research Personal Finance Commentary Education Zacks Advisor Tools My Account Manage Account Update Profile Subscriptions Preferences Password Help Upgrade Premium Resources Help About Zacks Disclosure Do Not Sell My Personal Information Performance Accessibility Site Map Podcasts Earnings Calendar Client Support Us Share Feedback Media Careers Advertise Facebook Twitter Linkedin You Tube Zacks Mobile App Zacks Research Reported On: Yahoo MSN Marketwatch Nasdaq Forbes Morningstar This authorized, sponsored, approved endorsed companies represented herein. Each company logos represented trademarks Verizon Media; Microsoft Corporation; Nasdaq, .; Dow Jones Company; Forbes Media, LLC; Investors Business Daily, .; Morningstar, . 2020 Zacks Investment Research 10 S Riverside Plaza Suite 1600 Chicago, IL 60606 At center strong commitment independent research sharing profitable discoveries investors. This dedication giving investors trading advantage led creation proven Zacks Rank stockrating system. Since 1988 doubled SP 500 average gain 24.41 year. These returns cover period January1, 1988 October 5, 2020. Zacks Rank stockrating returns computed monthly based beginning month end month Zacks Rank stock prices plus dividends received particular month. A simple, equallyweighted average return Zacks Rank stocks calculated determine monthly return. The monthly returns compounded arrive annual return. Only Zacks Rank stocks included Zacks hypothetical portfolios beginning month included return calculations. Zacks Ranks stocks can, do, change month. Certain Zacks Rank stocks monthend price available, pricing information collected, certain reasons excluded return calculations. Visit performance information performance numbers displayed above. Visit data content mobile app website. Real time prices BATS. Delayed quotes Sungard. NYSE AMEX data 20 minutes delayed. NASDAQ data 15 minutes delayed. This site protected reCAPTCHA Google apply. Due inactivity, besigned approximately: CLICK TO CONTINUE WORKING | 2,020 | [
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] | 1 | POSITIVE | 95 |
https://www.bccourier.com/massive-growth-in-biometric-authentication-software-market-research-report-2019-to-2026-imprivata-rsa-security-crossmatch-jumio-accops-ai-secure-biometrics/ | 2020-04-04T00:00:00 | en | Massive Growth in Biometric Authentication Software Market Research Report 2019 to 2026 | Imprivata, RSA Security, Crossmatch, Jumio, Accops, AI Secure Biometrics – Bandera County Courier |
Massive Growth in Biometric Authentication Software Market Research Report 2019 to 2026 | Imprivata, RSA Security, Crossmatch, Jumio, Accops, AI Secure Biometrics – Bandera County Courier
Saturday, April 4 2020
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Massive Growth in Biometric Authentication Software Market Research Report 2019 to 2026 | Imprivata, RSA Security, Crossmatch, Jumio, Accops, AI Secure Biometrics
rnr
April 3, 2020
Research N Reports has published a cogent report titled Biometric Authentication Software market to its online repository. The elucidating statistical data offers penetrative insights into a comprehensive analysis of the market and studies several crucial segments, such as type, size, technology and applications. Furthermore, the report adheres to exploratory techniques such as qualitative and quantitative analysis, thus insinuating readers on future market progression trends.
The competent report also stimulates accurate business decisions among readers by drawing attention to internal and external restraining factors. This further highlights the several risks and challenges of the business. Moreover, the market study also touches upon recent trends, tools, methods and technologies that foster market growth.
Ask for the Sample Copy of This Report: https://www.researchnreports.com/request_sample.php?id=790412
Top Key Players Profiled in This Report: Imprivata, RSA Security, Crossmatch, Jumio, Accops, AI Secure Biometrics, Authx, IBM, BioID, Cuckoo Tech, Innovatrics, Blink Identity, M2SYS Technology, Daon, Fujitsu
The key questions answered in this report:
1. What will be the market size and growth rate in the forecast year?
2. What are the key factors driving the Global Biometric Authentication Software Market?
3. What are the risks and challenges in front of the market?
4. Who are the key vendors in the Global Biometric Authentication Software Market?
5. What are the trending factors influencing the market shares?
6. What are the key outcomes of Porter’s five forces model?
7. Which are the global opportunities for expanding the Global Biometric Authentication Software Market?
Researchers of this report throw light on different terminologies. The competitive landscape section of the report covers the solution, products, services, and business overview. This Global Biometric Authentication Software Market research report covers several dynamic aspects such as drivers, restraints and challenging factors.
Get Discount on This Report: https://www.researchnreports.com/ask_for_discount.php?id=790412
Reasons for buying this report:
1. It offers an analysis of changing competitive scenario.
2. For making informed decisions in the businesses, it offers analytical data with strategic planning methodologies.
3. It offers a seven-year assessment of the Global Biometric Authentication Software Market.
4. It helps in understanding the major key product segments.
5. Researchers throw light on the dynamics of the market such as drivers, restraints, trends, and opportunities.
6. It offers a regional analysis of the Global Biometric Authentication Software Market along with the business profiles of several stakeholders.
7. It offers massive data about trending factors that will influence the progress of the Global Biometric Authentication Software Market.
This research report represents a 360-degree overview of the competitive landscape of the Global Biometric Authentication Software Market. Furthermore, it offers massive data relating to recent trends, technological advancements, tools, and methodologies. The research report analyzes the Global Non-Bank Trade Finazce Market in a detailed and concise manner for better insights into the businesses.
Finally, the researchers throw light on different ways to discover the strengths, weaknesses, opportunities, and threats affecting the growth of the Global Biometric Authentication Software Market. The feasibility of the new report is also measured in this research report.
If You Have Any Query, Ask Our Experts: https://www.researchnreports.com/enquiry_before_buying.php?id=790412
Table of Contents:
· Global Biometric Authentication Software Market Overview
· Economic Impact on Industry
· Market Competition by Manufacturers
· Production, Revenue (Value) by Region
· Production, Revenue (Value), Price Trend by Type
· Global Biometric Authentication Software Market Analysis by Application
· Cost Analysis
· Industrial Chain, Sourcing Strategy and Downstream Buyers
· Marketing Strategy Analysis, Distributors/Traders
· Market Effect Factors Analysis
· Global Biometric Authentication Software Market Forecast
About Us:
Research N Reports is a new age market research firm where we focus on providing information that can be effectively applied. Today being a consumer-driven market, companies require information to deal with the complex and dynamic world of choices. Where relying on a soundboard firm for your decisions becomes crucial. Research N Reports specializes in industry analysis, market forecasts and as a result getting quality reports covering all verticals, whether be it gaining perspective on current market conditions or being ahead in the cutthroat global competition. Since we excel at business research to help businesses grow, we also offer consulting as an extended arm to our services which only helps us gain more insight into current trends and problems. Consequently, we keep evolving as an all-rounder provider of viable information under one roof.
Contact:
Sunny Denis
Research N Reports
10916, Gold Point Dr,
Houston, TX, Pin – 77064,
+1 510-420-1213
[email protected]
www.researchnreports.com
TagsBiometric Authentication Software Market Biometric Authentication Software Market Analysis Biometric Authentication Software Market Growth Biometric Authentication Software Market Industry Biometric Authentication Software Market Industry Analysis Biometric Authentication Software Market opportunities Biometric Authentication Software Market Review Biometric Authentication Software Market Share Biometric Authentication Software Market Strategic Assessment
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| Massive Growth in Biometric Authentication Software Market Research Report 2019 to 2026 | Massive Growth Biometric Authentication Software Market Research Report 2019 2026 Imprivata, RSA Security, Crossmatch, Jumio, Accops, AI Secure Biometrics Bandera County Courier Saturday, April 4 2020 Trending Most Trending Report Enterprise Mobility Security Market Reap Astounding CAGR 30 2026 luding Top Key PlayersSymantec, MobileIron, VMware AirWatch, Blackberry, Citrix Systems How Payment Security Market Creating High Revenue Opportunities?Braintree, CyberSource, Elavon, TokenEx, IngenicoePayments,Intelligent Payments, GEOBRIDGE, Shift4,Transaction Network Services What ongoing demand scene Machine learning Market?SAP SE, Sas Institute , Amazon Web Services In, Bigml, Google , Fair Isaac Corporation, Baidu Marvelous rise 5G Network Infrastructure Market CAGR 50 Top Players Qualcomm, Intel, Ericsson, Samsung, NEC, Qorvo, ATT, Huawei, Nokia, MediaTek, Cisco Medical Recruitment Market Size Set Grow Remarkable Pace Coming Years Medacs Healthcare, Euromotion Medical, CPL Healthcare, ProClinical Recruitment, TFS Healthcare New Era Vascular Surgery Minimally Invasive Surgical Instruments Market growing Huge Demand 2020 Conveyor Belt Market Flourishing, Taking Several Industries To Top Spot Bando Chemical Industries, Ltd., Fenner, Intralox, Volta Belting Technology Ltd. Building Automation Systems BASMarket Current Trends And Technology Enhancements With Top Players Honeywell International,Johnson Controls,Siemens AG,Delta Controls,Robert Bosch GmbH,Carrier Corporation Big Boom Ball Valves Market Size Future Scope Demands Projected Industry Growths 2025 Emerson, Flowserve, IMI, SAMSON, Metso, SOMAS, Kitz, Bray, DEZURIK, Hitachi, Valwell, JDV Control Valves, LINUO Innovative Report Intelligent Vending Machine Market Growth Detail Analysis Top Key Players Sanden Holdings Corporation, American Vending Machines, Fuji Electric Co., Ltd., Automated Merchandising Systems, Crane Merchandising Systems, ., Azkoyen Vending Systems, Evoka Group Bandera County Courier Business Health Science Technology World HomeTechnologyMassive Growth Biometric Authentication Software Market Research Report 2019 2026 Imprivata, RSA Security, Crossmatch, Jumio, Accops, AI Secure Biometrics Technology Massive Growth Biometric Authentication Software Market Research Report 2019 2026 Imprivata, RSA Security, Crossmatch, Jumio, Accops, AI Secure Biometrics rnr April 3, 2020 Research N Reports published cogent report titled Biometric Authentication Software market online repository. The elucidating statistical data offers penetrative insights comprehensive analysis market studies crucial segments, type, size, technology applications. Furthermore, report adheres exploratory techniques qualitative quantitative analysis, insinuating readers future market progression trends. The competent report stimulates accurate business decisions readers drawing attention internal external restraining factors. This highlights risks challenges business. Moreover, market study touches recent trends, tools, methods technologies foster market growth. Ask Sample Copy This Report: Top Key Players Profiled This Report: Imprivata, RSA Security, Crossmatch, Jumio, Accops, AI Secure Biometrics, Authx, IBM, BioID, Cuckoo Tech, Innovatrics, Blink Identity, M2SYS Technology, Daon, Fujitsu The key questions answered report: 1. What market size growth rate forecast year? 2. What key factors driving Global Biometric Authentication Software Market? 3. What risks challenges market? 4. Who key vendors Global Biometric Authentication Software Market? 5. What trending factors influencing market shares? 6. What key outcomes Porters forces model? 7. Which global opportunities expanding Global Biometric Authentication Software Market? Researchers report throw light different terminologies. The competitive landscape section report covers solution, products, services, business overview. This Global Biometric Authentication Software Market research report covers dynamic aspects drivers, restraints challenging factors. Get Discount This Report: Reasons buying report: 1. It offers analysis changing competitive scenario. 2. For making informed decisions businesses, offers analytical data strategic planning methodologies. 3. It offers sevenyear assessment Global Biometric Authentication Software Market. 4. It helps understanding major key product segments. 5. Researchers throw light dynamics market drivers, restraints, trends, opportunities. 6. 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If You Have Any Query, Ask Our Experts: Table Contents: Global Biometric Authentication Software Market Overview Economic Impact Industry Market Competition Manufacturers Production, Revenue Value Region Production, Revenue Value, Price Trend Type Global Biometric Authentication Software Market Analysis Application Cost Analysis Industrial Chain, Sourcing Strategy Downstream Buyers Marketing Strategy Analysis, DistributorsTraders Market Effect Factors Analysis Global Biometric Authentication Software Market Forecast : Research N Reports new age market research firm focus providing information effectively applied. Today consumerdriven market, companies require information deal complex dynamic world choices. Where relying soundboard firm decisions crucial. Research N Reports specializes industry analysis, market forecasts result getting quality reports covering verticals, gaining perspective current market conditions ahead cutthroat global competition. Since excel business research help businesses grow, offer consulting extended arm services helps gain insight current trends problems. Consequently, evolving allrounder provider viable information roof. : Sunny Denis Research N Reports 10916, Gold Point Dr, Houston, TX, Pin 77064, 1 5104201213 sales TagsBiometric Authentication Software Market Biometric Authentication Software Market Analysis Biometric Authentication Software Market Growth Biometric Authentication Software Market Industry Biometric Authentication Software Market Industry Analysis Biometric Authentication Software Market opportunities Biometric Authentication Software Market Review Biometric Authentication Software Market Share Biometric Authentication Software Market Strategic Assessment Facebook Twitter LinkedIn StumbleUpon Reddit Share Email Print rnr Related Articles February 19, 2020 9 Qualitative report Online Collaboration Tools market growth, trends, demand, share, analysis market survey 2026 Time Doctor, Slack, Invision, Google Drive, Asana March 9, 2020 9 Best Reports Virtual Payment Market 2020 Trends, Demand, Opportunities, Scope Detail Survey 2026 Top Key Players: Amazon, Ebay, SAP, Flipkart, IBM, Snapdeal, Honeywell, Paytm, MobiKwik More. February 28, 2020 10 Massive Demand Wireless Signal Jammer Market Report 2020 2025 Major Key player like BAE Systems, Raytheon, Northrop Grumman, Lockheed Martin, Harris, Israel Aerospace Industries March 12, 2020 4 Remarkable Growth Endpoint Security Software Market 2020 Advancement, Innovation, Opportunities, Future Scope Forecast To 2026 Key Players: FSecure, Webroot, Sophos, Ahnlab, IBM, Symantec, Bitdefender More Recent Posts April 3, 2020 Growth Overview Event Management Software Market Rising Trends, Business Opportunities Growth Outlook 20202026 April 3, 2020 Latest Wrap Visualization 3D Rendering Software Market 2020 Size, Development Strategy, Opportunity Assessment, Key Players Trends 2026 April 3, 2020 Connected Enterprise Market 2020 Size, Development Strategy, Opportunity Assessment, Key Players Trends 2026 April 3, 2020 Growth Overview Virtual Private Cloud Market Rising Trends, Business Opportunities Growth Outlook 20202026 April 3, 2020 Growth Overview Personal Cloud Market Rising Trends, Business Opportunities Growth Outlook 20202026 April 3, 2020 Growth Overview Cloud Communication Platform Market Rising Trends, Business Opportunities Growth Outlook 20202026 April 3, 2020 Growth Overview Service Delivery Automation Market Rising Trends, Business Opportunities Growth Outlook 20202026 April 3, 2020 Growth Overview SaaSbased CRM Software Market Rising Trends, Business Opportunities Growth Outlook 20202026 April 3, 2020 Huge Growth Translation Services Provider Services Market Research Report 2019 2026 Adobe, Rev, 3Play Media, CaptioningStar, Dotsub, LanguageLine Solutions April 3, 2020 Huge Growth Riskbased Authentication Software Market Research Report 2019 2026 IBM, RSA Security, Okta, Kount, Duo, IDaptive, SecureAuth, Silverfort Facebook Twitter WhatsApp Telegram Close for: Close Log In Forget? 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https://www.theguardian.com/world/2020/dec/07/mohsen-fakhrizadeh-iran-says-ai-and-satellite-controlled-gun-used-to-kill-nuclear-scientist | 2020-12-07T00:00:00 | en | Iran says AI and ‘satellite-controlled’ gun used to kill nuclear scientist | Iran | The Guardian |
Iran says AI and ‘satellite-controlled’ gun used to kill nuclear scientist | Iran | The Guardian
US editionUS editionUK editionAustralian editionInternational editionThe Guardian - Back to homeSearch jobs Sign inSearchNewsOpinionSportCultureLifestyleShowMoreShow MoreNewsUS newsElections 2020World newsEnvironmentSoccerUS politicsBusinessTechScienceNewslettersOpinionThe Guardian viewColumnistsLettersOpinion videosCartoonsSportSoccerNFLTennisMLBMLSNBANHLCultureFilmBooksMusicArt & designTV & radioStageClassicalGamesLifestyleFashionFoodRecipesLove & sexHome & gardenHealth & fitnessFamilyTravelMoneyMake a contributionSubscribeSearch jobsDigital ArchiveGuardian Puzzles appThe Guardian appVideoPodcastsPicturesInside the GuardianGuardian WeeklyCrosswordsSearch jobsDigital ArchiveGuardian Puzzles appWorldEuropeUSAmericasAsiaAustraliaMiddle EastAfricaInequalityGlobal developmentIranIran says AI and ‘satellite-controlled’ gun used to kill nuclear scientistSenior commander says weapon ‘zoomed in’ on Mohsen Fakhrizadeh, leaving his wife uninjured Mohsen Fakhrizadeh was killed while driving on a highway near Tehran Photograph: Office Iranian Supreme Leader/IRIB News/ZUMA Wire/REX/ShutterstockMohsen Fakhrizadeh was killed while driving on a highway near Tehran Photograph: Office Iranian Supreme Leader/IRIB News/ZUMA Wire/REX/ShutterstockPatrick Wintour Diplomatic editorMon 7 Dec 2020 10.28 ESTLast modified on Mon 7 Dec 2020 10.43 ESTThe assassination of Iran’s top nuclear scientist last month was carried out remotely with artificial intelligence and a machine gun equipped with a “satellite-controlled smart system”, Iranian news agencies quoted a senior Iranian commander as saying.Ali Fadavi, the deputy commander of Iran’s Revolutionary Guards Corps, told Iranian news agencies that Mohsen Fakhrizadeh was driving when a weapon opened fire on his car on a highway near Tehran. The weapon “zoomed in on Fakhrizadeh” using an “advanced camera”, Fadavi said. “No terrorists were present on the ground.”Fadavi’s account is the most explicit yet of claims first made last week that the attack was conducted remotely. The claims have not been verified and have been treated with a degree of scepticism in the west.Iran has blamed Israel for the assassination – a claim Israel has neither denied nor confirmed.France, Germany and the UK (known as the E3) warned Iran that it was limiting the space for diplomacy by threatening to commit further breaches of the nuclear deal after Fakhrizadeh’s killing.Last week the Iranian parliament instructed the government to end UN inspections of its nuclear sites by February, but the Iranian foreign ministry said it had not been consulted about the resolution, adding it would not become law unless endorsed by the president, Hassan Rouhani.Fadavi said the gun used to kill Fakhrizadeh had been placed on a pickup truck and controlled by a satellite, and had fired 13 shots. “During the operation artificial intelligence and face recognition were used,” Fadavi said. “His wife, sitting 25cm away from him in the same car, was not injured.”Fadavi’s account differs markedly from early reports of Fakhrizadeh’s death, when witnesses told state television that a truck had exploded before a group of gunmen opened fire on his car.Fakhrizadeh, identified by Israel as a prime player in what it says is a continuing Iranian quest for a nuclear weapon, was the fifth Iranian nuclear scientist killed in targeted attacks since 2010 inside Iran. Tehran has long denied any ambition to develop nuclear weapons capability.The European powers warned on Monday that steps seen as limiting UN inspections would be very worrying and make the chances of a diplomatic settlement harder.A power struggle is under way in Tehran, in which hardliners are demanding Iran reduce its commitment to the nuclear deal in response to the attack. Iranian reformists, by contrast, are warning that further Iranian breaches of the nuclear deal will only play into the hands of the Israelis and Donald Trump and will damage the chances of the incoming US administration led by Joe Biden rejoining the nuclear deal and lifting US sanctions on Iran.Fadavi’s account of the attack on Fakhrizadeh may inflame the mood in Tehran.Last week Ali Shamkhani, the secretary of the supreme national security council of Iran, said the killing had been carried out with “electronic devices”, with no people on the ground.The E3 said: “The nuclear deal remains the best, and currently the only, way to monitor and constrain Iran’s nuclear programme. Iran’s recent announcement that it intends to install an additional three cascades of advanced centrifuges at the fuel enrichment plant in Natanz is contrary to the JCPoA [Joint Comprehensive Plan of Action] and deeply worrying.”It added that an Iranian parliament resolution limiting UN inspections of Iran’s nuclear sites would be incompatible with the nuclear deal and Iran’s wider nuclear commitments, if implemented.“If Iran is serious about preserving a space for diplomacy, it must not implement these steps. Such a move would jeopardise our shared efforts to preserve the JCPoA and risks compromising the important opportunity for a return to diplomacy with the incoming US Administration. A return to the JCPoA would also be beneficial for Iran. We will address Iran’s non-compliance within the framework of the JCPoA.”Iran is also sharpening its complaints about Europe. The UK ambassador to London, Hamid Baeidinejad, is angry that the UK has issued no statement clearly condemning the assassination. Iran has also been angered by the German foreign minister, Heiko Maas, saying there needed to be a follow-on to the existing Iran nuclear deal.The Iranian Central Bank has also said it is being prevented from purchasing coronavirus vaccines by US sanctions.TopicsIrannewsReuse this contentWorldEuropeUSAmericasAsiaAustraliaMiddle EastAfricaInequalityGlobal developmentNewsOpinionSportCultureLifestyleAbout usContact usComplaints & correctionsSecureDropWork for usPrivacy policyCookie policyTerms & conditionsHelpAll topicsAll writersDigital newspaper archiveFacebookTwitterNewslettersAdvertise with usGuardian LabsSearch jobsBack to top© 2020 Guardian News & Media Limited or its affiliated companies. All rights reserved. (modern)
| Iran says AI and ‘satellite-controlled’ gun used to kill nuclear scientist | Iran says AI satellitecontrolled gun kill nuclear scientist Iran The Guardian US editionUS editionUK editionAustralian editionInternational editionThe Guardian Back home jobs Sign inNewsOpinionSportCultureLifestyleShowMoreShow MoreNewsUS newsElections 2020World newsEnvironmentSoccerUS politicsBusinessTechScienceNewslettersOpinionThe Guardian viewColumnistsLettersOpinion videosCartoonsSportSoccerNFLTennisMLBMLSNBANHLCultureFilmBooksMusicArt designTV radioStageClassicalGamesLifestyleFashionFoodRecipesLove sexHome gardenHealth fitnessFamilyTravelMoneyMake contribution jobsDigital ArchiveGuardian Puzzles appThe Guardian appVideoPodcastsPicturesInside GuardianGuardian WeeklyCrosswords jobsDigital ArchiveGuardian Puzzles appWorldEuropeUSAmericasAsiaAustraliaMiddle EastAfricaInequalityGlobal developmentIranIran says AI satellitecontrolled gun kill nuclear scientistSenior commander says weapon zoomed Mohsen Fakhrizadeh, leaving wife uninjured Mohsen Fakhrizadeh killed driving highway near Tehran Photograph: Office Iranian Supreme LeaderIRIB NewsZUMA WireREXShutterstockMohsen Fakhrizadeh killed driving highway near Tehran Photograph: Office Iranian Supreme LeaderIRIB NewsZUMA WireREXShutterstockPatrick Wintour Diplomatic editorMon 7 Dec 2020 10.28 ESTLast modified Mon 7 Dec 2020 10.43 ESTThe assassination Irans nuclear scientist month carried remotely artificial intelligence machine gun equipped satellitecontrolled smart system, Iranian news agencies quoted senior Iranian commander saying.Ali Fadavi, deputy commander Irans Revolutionary Guards Corps, told Iranian news agencies Mohsen Fakhrizadeh driving weapon opened car highway near Tehran. The weapon zoomed Fakhrizadeh advanced camera, Fadavi said. No terrorists present ground.Fadavis account explicit claims week attack conducted remotely. The claims verified treated degree scepticism west.Iran blamed Israel assassination claim Israel denied confirmed.France, Germany UK known E3 warned Iran limiting space diplomacy threatening commit breaches nuclear deal Fakhrizadehs killing.Last week Iranian parliament instructed government end UN inspections nuclear sites February, Iranian foreign ministry said consulted resolution, adding law endorsed president, Hassan Rouhani.Fadavi said gun kill Fakhrizadeh placed pickup truck controlled satellite, fired 13 shots. During operation artificial intelligence face recognition used, Fadavi said. His wife, sitting 25cm away car, injured.Fadavis account differs markedly early reports Fakhrizadehs death, witnesses told state television truck exploded group gunmen opened car.Fakhrizadeh, identified Israel prime player says continuing Iranian quest nuclear weapon, fifth Iranian nuclear scientist killed targeted attacks 2010 inside Iran. Tehran long denied ambition develop nuclear weapons capability.The European powers warned Monday steps seen limiting UN inspections worrying chances diplomatic settlement harder.A power struggle way Tehran, hardliners demanding Iran reduce commitment nuclear deal response attack. Iranian reformists, contrast, warning Iranian breaches nuclear deal play hands Israelis Donald Trump damage chances incoming US administration led Joe Biden rejoining nuclear deal lifting US sanctions Iran.Fadavis account attack Fakhrizadeh inflame mood Tehran.Last week Ali Shamkhani, secretary supreme national security council Iran, said killing carried electronic devices, people ground.The E3 said: The nuclear deal remains best, currently only, way monitor constrain Irans nuclear programme. Irans recent announcement intends install additional cascades advanced centrifuges fuel enrichment plant Natanz contrary JCPoA [Joint Comprehensive Plan Action] deeply worrying.It added Iranian parliament resolution limiting UN inspections Irans nuclear sites incompatible nuclear deal Irans wider nuclear commitments, implemented.If Iran preserving space diplomacy, implement steps. Such jeopardise shared efforts preserve JCPoA risks compromising important opportunity return diplomacy incoming US Administration. A return JCPoA beneficial Iran. We address Irans noncompliance framework JCPoA.Iran sharpening complaints Europe. The UK ambassador London, Hamid Baeidinejad, angry UK issued statement clearly condemning assassination. Iran angered German foreign minister, Heiko Maas, saying needed followon existing Iran nuclear deal.The Iranian Central Bank said prevented purchasing coronavirus vaccines US sanctions.TopicsIrannewsReuse contentWorldEuropeUSAmericasAsiaAustraliaMiddle EastAfricaInequalityGlobal developmentNewsOpinionSportCultureLifestyleAbout usComplaints correctionsSecureDropWork usPrivacy policy policyTerms conditionsHelpAll topicsAll writersDigital newspaper archiveFacebookTwitterNewslettersAdvertise usGuardian Labs jobsBack 2020 Guardian News Media Limited affiliated companies. . modern | 2,020 | [
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https://www.businesschief.com/technology-and-ai/boeing-unveils-autonomous-electric-cargo-drone-prototype | 2020-08-02T00:00:00 | en | Boeing unveils autonomous electric cargo drone prototype | Technology & AI | Business Chief North America | Boeing unveils autonomous electric cargo drone prototype | Technology & AI | Business Chief North America | Boeing unveils autonomous electric cargo drone prototype | Boeing unveils autonomous electric cargo drone prototype Technology AI Business Chief North America | 2,020 | [
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https://dailyscience.me/2020/03/17/artificial-intelligence-ai-cars-and-light-trucks-market-by-product-type-by-major-market-key-players-by-regions-forecast-to-2026/ | 2020-03-17T00:00:00 | en | Artificial Intelligence (AI) Cars and Light Trucks Market | by Product Type | by Major Market Key Players | by Regions-Forecast to 2026 – Daily Science |
Artificial Intelligence (AI) Cars and Light Trucks Market | by Product Type | by Major Market Key Players | by Regions-Forecast to 2026 – Daily Science
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Artificial Intelligence (AI) Cars and Light Trucks Market | by Product Type | by Major Market Key Players | by Regions-Forecast to 2026
March 17, 2020
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Artificial Intelligence (AI) Cars and Light Trucks Market:
This report studies the Artificial Intelligence (AI) Cars and Light Trucks Market with many aspects of the industry like the market size, market status, market trends and forecast, the report also provides brief information of the competitors and the specific growth opportunities with key market drivers. Find the complete Artificial Intelligence (AI) Cars and Light Trucks Market analysis segmented by companies, region, type and applications in the report.
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Artificial Intelligence (AI) Cars and Light Trucks Market continues to evolve and expand in terms of the number of companies, products, and applications that illustrates the growth perspectives. The report also covers the list of Product range and Applications with SWOT analysis, CAGR value, further adding the essential business analytics. Artificial Intelligence (AI) Cars and Light Trucks Market research analysis identifies the latest trends and primary factors responsible for market growth enabling the Organizations to flourish with much exposure to the markets.
Market Segment by Regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia and Italy)
Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
South America (Brazil, Argentina, Colombia etc.)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
Research objectives:
To study and analyze the global Artificial Intelligence (AI) Cars and Light Trucks market size by key regions/countries, product type and application, history data from 2013 to 2017, and forecast to 2026.
To understand the structure of Artificial Intelligence (AI) Cars and Light Trucks market by identifying its various sub segments.
Focuses on the key global Artificial Intelligence (AI) Cars and Light Trucks players, to define, describe and analyze the value, market share, market competition landscape, SWOT analysis and development plans in next few years.
To analyze the Artificial Intelligence (AI) Cars and Light Trucks with respect to individual growth trends, future prospects, and their contribution to the total market.
To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).
To project the size of Artificial Intelligence (AI) Cars and Light Trucks submarkets, with respect to key regions (along with their respective key countries).
To analyze competitive developments such as expansions, agreements, new product launches and acquisitions in the market.
To strategically profile the key players and comprehensively analyze their growth strategies.
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The Artificial Intelligence (AI) Cars and Light Trucks Market research report completely covers the vital statistics of the capacity, production, value, cost/profit, supply/demand import/export, further divided by company and country, and by application/type for best possible updated data representation in the figures, tables, pie chart, and graphs. These data representations provide predictive data regarding the future estimations for convincing market growth. The detailed and comprehensive knowledge about our publishers makes us out of the box in case of market analysis.
Table of Contents: Artificial Intelligence (AI) Cars and Light Trucks Market
Chapter 1: Overview of Artificial Intelligence (AI) Cars and Light Trucks Market
Chapter 2: Global Artificial Intelligence (AI) Cars and Light Trucks Market Status and Forecast by Regions
Chapter 3: Global Artificial Intelligence (AI) Cars and Light Trucks Market Status and Forecast by Types
Chapter 4: Global Artificial Intelligence (AI) Cars and Light Trucks Market Status and Forecast by Downstream Industry
Chapter 5: Market Driving Factor Analysis of Artificial Intelligence (AI) Cars and Light Trucks Market
Chapter 6: Artificial Intelligence (AI) Cars and Light Trucks Market Competition Status by Major Manufacturers
Chapter 7: Artificial Intelligence (AI) Cars and Light Trucks Major Manufacturers Introduction and Market Data
Chapter 8: Upstream and Downstream Market Analysis of Artificial Intelligence (AI) Cars and Light Trucks Market
Chapter 9: Cost and Gross Margin Analysis of Artificial Intelligence (AI) Cars and Light Trucks Market
Chapter 10: Marketing Status Analysis of Artificial Intelligence (AI) Cars and Light Trucks Market
Chapter 11: Artificial Intelligence (AI) Cars and Light Trucks Market Report Conclusion
Chapter 12: Research Methodology and Reference
Key questions answered in this report
What will the market size be in 2026 and what will the growth rate be?
What are the key market trends?
What is driving this market?
What are the challenges to market growth?
Who are the key vendors in this market space?
What are the market opportunities and threats faced by the key vendors?
What are the strengths and weaknesses of the key vendors?
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| Artificial Intelligence (AI) Cars and Light Trucks Market | Artificial Intelligence AI Cars Light Trucks Market Product Type Major Market Key Players RegionsForecast 2026 Daily Science Daily Science Science Market Research Menu Menu Market Reports Science News Industry Analytics Industry Reports Market Outlook Business Opportunity Emerging Trends Growth Prospects Market Study Artificial Intelligence AI Cars Light Trucks Market Product Type Major Market Key Players RegionsForecast 2026 March 17, 2020 No Comments Artificial Intelligence AI Cars Light Trucks Market: This report studies Artificial Intelligence AI Cars Light Trucks Market aspects industry like market size, market status, market trends forecast, report provides brief information competitors specific growth opportunities key market drivers. Find complete Artificial Intelligence AI Cars Light Trucks Market analysis segmented companies, region, type applications report. Get Free Sample Copy @ Artificial Intelligence AI Cars Light Trucks Market continues evolve expand terms number companies, products, applications illustrates growth perspectives. The report covers list Product range Applications SWOT analysis, CAGR value, adding essential business analytics. Artificial Intelligence AI Cars Light Trucks Market research analysis identifies latest trends primary factors responsible market growth enabling Organizations flourish exposure markets. Market Segment Regions, regional analysis covers North America United States, Canada Mexico Europe Germany, France, UK, Russia Italy AsiaPacific China, Japan, Korea, India Southeast Asia South America Brazil, Argentina, Colombia etc. Middle East Africa Saudi Arabia, UAE, Egypt, Nigeria South Africa Research objectives: To study analyze global Artificial Intelligence AI Cars Light Trucks market size key regionscountries, product type application, history data 2013 2017, forecast 2026. To understand structure Artificial Intelligence AI Cars Light Trucks market identifying sub segments. Focuses key global Artificial Intelligence AI Cars Light Trucks players, define, analyze value, market share, market competition landscape, SWOT analysis development plans years. To analyze Artificial Intelligence AI Cars Light Trucks respect individual growth trends, future prospects, contribution total market. To share detailed information key factors influencing growth market growth potential, opportunities, drivers, industryspecific challenges risks. To project size Artificial Intelligence AI Cars Light Trucks submarkets, respect key regions respective key countries. To analyze competitive developments expansions, agreements, new product launches acquisitions market. To strategically profile key players comprehensively analyze growth strategies. Inquire More This Report @ The Artificial Intelligence AI Cars Light Trucks Market research report completely covers vital statistics capacity, production, value, costprofit, supplydemand importexport, divided company country, applicationtype best possible updated data representation figures, tables, pie chart, graphs. These data representations provide predictive data future estimations convincing market growth. The detailed comprehensive knowledge publishers makes box case market analysis. Table Contents: Artificial Intelligence AI Cars Light Trucks Market Chapter 1: Overview Artificial Intelligence AI Cars Light Trucks Market Chapter 2: Global Artificial Intelligence AI Cars Light Trucks Market Status Forecast Regions Chapter 3: Global Artificial Intelligence AI Cars Light Trucks Market Status Forecast Types Chapter 4: Global Artificial Intelligence AI Cars Light Trucks Market Status Forecast Downstream Industry Chapter 5: Market Driving Factor Analysis Artificial Intelligence AI Cars Light Trucks Market Chapter 6: Artificial Intelligence AI Cars Light Trucks Market Competition Status Major Manufacturers Chapter 7: Artificial Intelligence AI Cars Light Trucks Major Manufacturers Introduction Market Data Chapter 8: Upstream Downstream Market Analysis Artificial Intelligence AI Cars Light Trucks Market Chapter 9: Cost Gross Margin Analysis Artificial Intelligence AI Cars Light Trucks Market Chapter 10: Marketing Status Analysis Artificial Intelligence AI Cars Light Trucks Market Chapter 11: Artificial Intelligence AI Cars Light Trucks Market Report Conclusion Chapter 12: Research Methodology Reference Key questions answered report What market size 2026 growth rate be? What key market trends? What driving market? What challenges market growth? Who key vendors market space? What market opportunities threats faced key vendors? What strengths weaknesses key vendors? Get Complete Report @ : Reports Markets company domain veteran group called Algoro Research Consultants Pvt. Ltd. It offers premium progressive statistical surveying, market research reports, analysis forecast data wide range sectors government private agencies world. The database company updated daily basis. Our database contains variety industry verticals include: Food Beverage, Automotive, Chemicals Energy, IT Telecom, Consumer, Healthcare, more. Each report goes appropriate research methodology, Checked professionals analysts. Us: Sanjay Jain Manager Partner Relations International Marketing Ph: 13523530818 US Author Recent Posts [emailprotected] Latest posts [emailprotected] Artificial Intelligence AI Cars Light Trucks Market Product Type Major Market Key Players RegionsForecast 2026 March 17, 2020 Business Secretarial Schools Market expected Thrive Impressive CAGR 2027 key players: ICSACCSP, ClearTax, TARGETjobs March 17, 2020 IT Education Training Service Market expected Thrive Impressive CAGR 2027 key players: Abu Dhabi Vocational Education Training Institute , Kaplan , Benesse Corporation March 17, 2020 Tags: Artificial Intelligence AI Cars Light Trucks, Artificial Intelligence AI Cars Light Trucks Market, Artificial Intelligence AI Cars Light Trucks Market Analysis Post navigation Global Fusion Machine Market 2020 Industry Dynamics, Segmentation, Competition Analysis Forecast 2028 Global Power Tool Attachments Market Size, Share, Development, Growth Demand Forecast 2025 About contact About Disclaimer Our Writers Recent Posts Global Motorcycle Chain Wheels Market Insights 20192025 JT Sprockets, Tsubakimoto Chain, Renthal, Regina Catene Calibrate, Rockman Industries Animal Cell Culture Market Forecasts Growth, 20192025 Portable Non Infrared Thermometers Market By Type, Component, Industry, Region Market Size, Demand Forecasts, Company Profiles, Industry Trends Updates 20192025 Trimanganese Tetraoxide CAS1317 35 7 Market 2020 Strategic Assessment Top Players like Ty magnet, Qingchong Manganese, Erachem, Mesa Minerals LimitedMesa, More Pet Raw Food Market 2019 Business Scenario WellPet, Stella Chewy, K9 Naturals Global MultiPhoton Microscopy Market Insights 20192025 Nikon, Olympus, ZEISS, Leica, Pain Drug Delivery Market 2019 Industry Key Players, Trends, Sales, Supply, Demand, Analysis Forecast By 2025 Styrene Maleic Anhydride SMA Market Forecast Study Launched 20202025 Global Regional Compressed Nonasbestos Sheets Industry Production, Sales Consumption Status Prospects Professional Market Research Report Nanoporous Membranes Market Insights Scope 2025 ClOSE SIDEBAR OPEN SIDEBAR Daily Science 2019 Sendy review 2020 | 2,020 | [
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