Joint HEP/Theory Seminar: Deep Learning in High Energy Physics
Recent advances in artificial intelligence offer opportunities to disrupt the traditional techniques for data analysis in high energy physics. I will describe the new machine learning techniques, explain why they are particularly well suited for particle physics, and present selected results that demonstrate their new capabilities.
Type: LECTURE/TALK and PANEL/SEMINAR/COLLOQUIUM
Contact: Kate Scholberg