As instruments in large-scale user facilities are becoming more powerful, the volume of data and its complexity also grow. To leverage these heightened capabilities and accelerate scientific discoveries, a field known as autonomous discovery has emerged. It uses algorithms to learn from a comparatively little amount of input data and determine the best next experimental steps — all with minimal human intervention.