Physics and AI

Physics and AI is a conference addressing the deep and growing entanglement between modern physics and artificial intelligence—both as a methodological question (how can AI accelerate physics research?) and as a foundational one (what does physics tell us about the limits and principles of intelligent systems?). The two disciplines are increasingly co-constitutive, and this conference creates space to explore that relationship rigorously.

Physicists using machine learning for particle physics, cosmology, condensed matter, and quantum simulation attend alongside AI researchers drawing inspiration from statistical mechanics, information theory, and dynamical systems. Sessions span AI-driven experimental design, neural network theory grounded in physics, differentiable simulators, and the use of deep learning for solving partial differential equations. Physics and AI is essential for researchers in either field who want to engage seriously with what the other has to offer.