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:
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.
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.
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.
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! 🐟🐟🐟