Joint HEP/Theory Seminar: Deep Learning in High Energy Physics

Thursday, January 25, 2018

3:00 pm - 4:00 pm
Physics 278

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Presenter

Daniel Whiteson, University of California, Irvine

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.

Contact

Kate Scholberg
schol@phy.duke.edu