Northwestern University

Fri 4:00 PM

Colloquium: Matthew Schwartz: Modern Machine Learning and the Large Hadron Collider

When: Friday, November 16, 2018
4:00 PM - 5:00 PM  

Where: Technological Institute, L211, 2145 Sheridan Road, Evanston, IL 60208 map it

Audience: Faculty/Staff - Student - Public - Post Docs/Docs - Graduate Students

Contact: Yassaman   847.491.7650

Group: Physics and Astronomy Colloquia

Category: Academic


Particle physics involves an intense data science challenge: signals of interest, like for the Higgs boson are often buried in backgrounds trillions of times as large. Over the last decade or so, there has been a revolution in machine learning, and over the last year or two, the revolution has started to influence collider physics. For example, image recognition technology based on convolutional neural networks can be used to find patterns in the distribution of energy around a detector. Or recurrent neural networks designed for natural language processing can be applied to parse the substructure of jets. This talk will review some of these developments and discuss some exciting possibilities for the future.


Seminar Speaker: Matthew Schwartz, Harvard

Host: Velasco


Keywords: Physics, Astronomy, Seminar, Colloquium

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