Particle physicists team up with AI to solve toughest science problems
Manuel Gnida, Slac National Accelerator Laboratory
Neutrino experiments also benefit from machine learning. NOvA’s detectors are watching out for charged particles produced when neutrinos hit the detector material, and machine learning algorithms identify them. From machine learning to deep learning Recent developments in machine learning, often called deep learning, promise to take applications in particle physics even further. Computer vision technology could help identify features in jets. Therefore, establishing machine learning in particle physics requires constant efforts to better understand the inner workings of the algorithms and to do cross-checks with real data whenever possible.