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Neural networks to model probability densities in quantum chromodynamics

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If you have a question about this talk, please contact Mateja Jamnik.

Please note unusual day and time.

Zahari Kassabov from the High Energy Physics group in the Cavendish is coming to give a talk about his work in the NNPDF collaboration using neural networks to model probability densities in quantum chromodynamics (QCD) (the study of the strong nuclear force). For background information on the group you can visit their (very friendly) website

http://nnpdf.mi.infn.it/

Having met with Zahari last week we agreed there are many potential collaboration opportunities, especially as their group is already switched on to ML and doesn’t need convincing of the merits of its application. This also means that you don’t need to have a PhD in physics to contribute as they will provide that side of the solution.

This talk is open to all and should be of particular interest to those looking to collaborate with groups working in the natural sciences.

This talk is part of the Artificial Intelligence Research Group Talks (Computer Laboratory) series.

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