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title: README
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license: apache-2.0
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# AI-Driven Research Directions at the Museum of Hydrobiological Sciences
The Museum of Hydrobiological Sciences (MHBS), part of the Institute of Hydrobiology, Chinese Academy of Sciences (IHB/CAS), houses an extensive collection of over 400,000 aquatic specimens, including 300,000 freshwater fish. To advance hydrobiological research, the museum is integrating cutting-edge Artificial Intelligence (AI) technologies to enhance specimen management, species identification, and ecological studies. Here are three key AI-driven research directions currently being explored:
1. **Digitalization of Museum Specimens**
AI is being leveraged to digitize the museum’s vast collection, creating high-resolution digital records and 3D models of specimens. This not only preserves fragile specimens but also facilitates global access and collaboration.
2. **Species Classification and Recognition**
Deep learning and AI-powered tools are being developed to automate species identification from digital images of aquatic specimens, improving the efficiency and accuracy of taxonomic work.
3. **Dynamic Generation and Updating of Fish Dichotomous Keys**
Large Language Models (LLMs) are being used to dynamically generate and update fish identification keys based on the latest research, facilitating more flexible and up-to-date resources for species classification.
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We welcome collaboration and invite researchers from around the world to join us in advancing aquatic biodiversity research. Let's work together to make a splash in the world of hydrobiology! 🐟🐟🐟 |