Calendar of Events
The Deep Learning Revolution and the LHC
Speaker: David Shih (Department of Physics & Astronomy, Rutgers University)
Abstract: The AI revolution is transforming our everyday world and it is beginning to have a major impact on the LHC. With its enormous and complex dataset, together with access to detailed and accurate simulations, the LHC is an ideal setting for applications of deep learning. As we move into the high luminosity era of the LHC, deep learning is expected to play a major role in the experiment, from triggering to reconstruction to physics analysis. Large gains in performance and sensitivity are expected, as well as qualitatively new types of analyses. In this talk, I will review the latest developments in this rapidly growing field, which include applications to boosted object tagging, pileup reduction, event generation, and anomaly detection.
Host: Scott Thomas