This article discusses a study published in Nature Machine Intelligence which outlines a hybrid methodology designed to improve how AI-based machinery sense, interact and respond to its environment in real time. The study focuses on the combination of physics-based research and traditional computer vision techniques to create a hybrid AI with enhanced capabilities. The research team outlined three ways in which physics and data are starting to be combined into computer vision artificial intelligence.
