Calendar of Events
Learning Particle Physics from Machines
Speaker: Daniel Whiteson (University of California, Irvine)
Abstract: Recent advances in artificial intelligence offer opportunities to disrupt the traditional strategies for discovery of new particles in high energy collisions. I will describe the new machine-learning techniques, explain why they are particularly well suited for particle physics, present selected results that demonstrate their new capabilities, and present a strategy for translating their learned strategies into human understanding.
Bio: Daniel Whiteson is a professor of experimental particle physics at the University of California, Irvine, and a fellow of the American Physical Society. He conducts research using the Large Hadron Collider at CERN. He received his PhD at Berkeley.