Abstract
Particle physicists have been using machine learning (ML or “AI”) since the 1980s. In common with many other endeavours, use of this technology has soared as computing power and data volumes have increased and state-of-the-art techniques have become available in open source software.
In this talk I will give a brief introduction to ML, and explain why it can be a powerful tool in particle physics. I will then describe some of the latest applications of ML in particle physics research using examples from the Large Hadron Collider (LHC) experiments and accelerator development. I will conclude by discussing some more futuristic ideas.
Biography
James Catmore is an experimental particle physicist and software developer. He joined the ATLAS experiment as a Ph.D. student at Lancaster University in the UK. He became a CERN Fellow in 2011 and joined the Oslo HEP group in 2014.
He served as ATLAS Computing Coordinator in 2019-2020, and is now Software Coordinator. His research is concerned with preparing for the High Luminosity run of the LHC, which will start in the late 2020s.
Cake and coffee/tea will be served from 12.00 -12.15. The talk starts about 12.15.