New technologies make it possible to collect, visualize, and analyze data from inside the human body. kennedy+swan explore how machines are being trained to recognize and classify human tissue and to diagnose potential diseases using an artificial medical gaze.

Stefan Chmiela from the Machine Learning for Molecular Simulation in Quantum Chemistry group will talk about “From Motion to Meaning: Learning the Statistical Structure of Atomic Interactions”. In this talk Stefan Chmiela will introduce generative, physics-informed models that learn the coarse-grained evolution of atomic systems, enabling fast, thermodynamically consistent simulations that capture slow dynamics and extend quantum-level accuracy to realistic materials and molecular environments.