Enabling AI for High Energy Physics in the UK

AI4HEP-UK - Enabling AI for High Energy Physics in the UK

Mission

Over the past three decades, HEP has successfully leveraged AI across numerous aspects, including data analysis, real-time data selection, detector calibration/monitoring, and theory calculations. It is essential to the future of the field that it fully exploits its potential. Establishing a UK AI HEP framework allows to overcome common barriers and challenges while harnessing opportunities in areas such as hardware, software, AI-ops, skills/training, knowledge exchange, capacity building, industry engagement, and fast-AI.

Our goal is to bring together researchers across experiment, theory/phenomenology, but also computing and software experts, to review progress, identify barriers and opportunities for enabling AI in HEP, sharing tools, promoting successful use-cases, and improving skills/training and knowledge transfer.

Collaborations and synergies

  • CCP-TEPP - Collaborative Computational Project on Theoretical and Experimental Particle Physics
  • EuCAIF – European Coalition for AI in Fundamental Physics
  • HSF - HEP Software Foundation

    • News and announcements




    Contacts and communication lists

  • Contacts AI4HEP: Alex Tapper, Davide Costanzo, Monica d’Onofrio, Tim Scanlon
  • Mailing list AI4HEP-UK@jiscmail.ac.uk (subscribe here)
  • CERN Mattermost channel
  • Project GitHub repository



    • Sharing/contributing software

    We welcome software libraries and tools in our GitHub organisation AI4HEP-UK.
    Feel encouraged to get in touch with the team.