Sports-watches for Animals?

Seamlessly decode fine-scale behaviors from raw accelerometry data of any animal species through a single universal machine learning workflow. The goal of my PhD is to design a versatile unsupervised foundation model that can be easily and rapidly tailored to specific species with a fraction of the training data currently required. By offering a user-focused, out-of-the-box software, the need for large volumes of data and laborious design, training, and testing of individual animal models is eliminated, allowing biologists to spend less time sorting data, more time making breakthroughs.