CERN and Mistral sign intent to build Large Physics Model for collider physics
CERN and French AI company Mistral signed a statement of intent on 15 October for a long-term strategic partnership centred on a “Large Physics Model”, which CERN calls the first foundation model for collider physics. The model would be trained on billions of simulated proton-proton collisions at the Large Hadron Collider to reconstruct collisions, identify particles, flag unexpected signals and evaluate future detector designs. No budget or timeline was disclosed; CERN says it has stored about one exabyte of LHC data and expects collision volumes to rise tenfold with the HL-LHC upgrade due around 2030.
CERN says it holds about one exabyte of LHC data and expects a tenfold increase in collisions with the HL-LHC, and the partners cite that scale and scientific precision as the conditions for training a single foundation model.
CERN and French AI company Mistral signed a statement of intent on 15 October to build a “Large Physics Model“, which CERN calls the first foundation model for collider physics. It will be trained on simulated Large Hadron Collider data to help reconstruct and identify particles. No budget or timeline was disclosed.
CERN and Mistral plan to build an AI model for particle physics, the European lab said on Thursday. The two signed a statement of intent for a long-term deal on AI for science.
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