Dear all,
You are invited to attend the following exciting talk at 11:30 AM
on Tuesday, 17th Nov. :
Title:
Deep Learning for High-Energy Physics
Abstract:
Soon after the discovery of the Higgs Boson was announced in 2012,
the Large Hadron Collider was shut down for two years of planned
upgrades. Now it is back online, smashing particles at even higher
energies and producing a torrent of new data. Analyzing this data
is a great challenge, and the data-analysis pipelines make heavy
use of machine learning. In this talk, we will show how deep
learning can improve the statistical power of this analysis by
automatically learning high-level representations of the data,
rather than relying on features that have been engineered by
physicists.
Speaker Bio:
Peter Sadowski is a PhD student in the Department of Computer
Science at the University of California Irvine. His research
interests are centered around machine learning and its
applications to the natural sciences, with a particular
interest in deep learning and artificial neural networks. His
latest work focuses on the use of deep learning to analyze
particle physics data from the Large Hadron Collider.
Ciao,
Rupesh
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