mPP: machine learning for Particle Physics

mPP is a CERN R&D project to investigate and promote applications of modern machine learning to particle physics. The project focuses on developing and deploying Machine Learning solutions for CERN experiments, such as trigger, event reconstruction, simulation, etc. The project is supported by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (grant agreement N. 772369).

Ongoing projects:

development of a library to convert machine learning models into firmware blocks of FPGAs.

-- MaurizioPierini - 2018-04-27

This topic: Main > TWikiUsers > MaurizioPierini > MPP
Topic revision: r1 - 2018-04-27 - MaurizioPierini
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