During the Applied Machine Learning Days at EPFL, the AI & Physics workshop will aim to bring together experts working at the interface between machine learning and physics, as well as leading researchers from both the machine learning and physics communities. Machine learning has seen a surge of interest in physics, with techniques ranging from computer vision, natural language processing, generative modelling, and reinforcement learning leading to new methods to solve long-standing problems in the classification, simulation and analysis of physical systems. Areas of particular interest for this track include topics of relevance for the Large Hadron Collider at CERN, applications of machine learning in lattice QCD and cosmology, as well as studies of deep learning models through tools originating from statistical and mathematical physics.