Researchers from the IBS Center, KAIST, and the Institute for Basic Science collaborated to develop a new analytical tool known as Spectrogram-UMAP-Based Temporal-Link Embedding (SUBTLE), which uses artificial intelligence to learn how to classify and analyze animal behavior based on 3D movement data.
Animal behavior analysis is a fundamental tool in various studies, ranging from basic neuroscience research to understanding the causes and treatments of diseases. It is widely applied not only in biological research but also across various industrial fields, including robotics.