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| | # AI-Driven Research Directions at the Museum of Hydrobiological Sciences |
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| | 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: |
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| | 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. |
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| | 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. |
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| | 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! 🐟🐟🐟 |
