Topic: AmadeusGPT

Quantifying and analyzing animal behaviors involves many pre-defined subtasks such as annotating data (pose or behavior), training machine learning models (DeepLabCut, CEBRA etc.), writing post-hoc analysis code, and/or running visualization tools. Those pre-defined sub-tasks require domain expertise in coding, machine learning, and often heavy manual annotation. Yet, there has not been one system that can help abstract away all the sub-tasks and focus on interaction-based programming to meet researchers’ high-level language queries. Here, inspired by the design of Software-3.0, we introduce a