Symmetry And Geometry In Ai For Particle Physics

This article discusses the use of artificial intelligence and machine learning in data-heavy fields such as particle physics. The author, Savannah Thais, shares her work on using geometric machine learning for data reconstruction at the Large Hadron Collider and the incorporation of symmetries and other inductive biases in model design. Thais also highlights her work with Community Insight and Impact, a non-profit organization focused on data-driven community needs assessments.