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mPP: machine learning for Particle Physics This project proposes to use modern Machine Learning (ML), particularly Deep Learning (DL), as a breakthrough solution to address the scientific, technological, and financial challenges that High Energy Physics will face in the decade ahead. The project aims to apply cutting-edge ML technologies to HEP problems, paving the way to self-operating detectors, capable of visually inspecting events and identifying the physics process generating them, while monitoring the data, the correct functioning of the detector components and, if any, the occurrence of anomalous events caused by unspecified new physics processes. |
Coordinator: CERN, Switzerland Scientist in Charge from CERN: Full costs of the project: 1.7 M€ EU funding: 1.7 M€ EU funding for CERN: 1.7 M€ 1 April 2018 - 31 March 2023 |