AI Insight seminar: Deep Learning for the Large Hadron Collider
The Large Hadron Collider (LHC) at CERN is testing our understanding of microscopic physics at unprecedented energies, previously produced in nature only just after the Big Bang. Doing science at LHC implies a set of technological challenges, whose complexity is growing with the increase of the LHC performance. To face this challenges, CERN physicists are looking to Deep Learning. In this talk, I will review the LHC big data problem and show examples of how Deep Learning could deal with it, in view of the High-Luminosity upgrade of the LHC.
Maurizio Pierini is a particle physicist working on the CMS experiment at the Large Hadron Collider at CERN. He currently holds an ERC Consolidator Grant for a project that aims to use Deep Learning solutions to address particle physics problems.
The seminar is free but the seats are limited, so register as soon as possible to secure your participation.