Speaker
Graeme Stewart
(CERN)
Description
Machine learning has been used in high-energy physics for several decades, with considerable success. With the advent of modern machine learning the range of applications HEP has exploded, with techniques being applied in almost every area of the field. I shall review here some of the advances and successes that have been achieved in event classification, simulation and reconstruction domains. Some indications of how success may develop in the future will be discussed as well as some practical issues related to the deployment of machine learning into the lifecycle of HEP computing.
Primary author
Graeme Stewart
(CERN)
