Reminder: The talk is tomorrow at 11:30 AM in our meeting room.
On 11/04/2015 03:13 PM, Announcements of talks at IDSIA wrote:
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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