CERN and Mistral Partner on AI for Physics
Original: CERN and Mistral sign a statement of intent to establish a strategic partnership
Why This Matters
Applying foundation model training to petascale physics data could set a new benchmark for scientific AI.
CERN and Mistral signed a statement of intent on Oct 15, 2026 to build a Large Physics Model trained on billions of LHC proton-proton collision simulations, targeting multi-task particle reconstruction.
CERN and French AI firm Mistral have announced a strategic partnership aimed at building what they describe as the first foundation model for collider physics. The so-called Large Physics Model will be pretrained on billions of simulated proton-proton collisions from CERN's Large Hadron Collider and built to handle a range of tasks: reconstructing particle collisions, identifying particles, flagging anomalous signals, and evaluating future detector designs.
Today's LHC analysis relies on chains of specialized algorithms that sequentially process raw detector signals. The new model aims to compress that pipeline into a single system capable of learning across the full reconstruction chain. CERN holds roughly one exabyte of LHC experimental data, with collision rates set to increase tenfold once the High-Luminosity LHC comes online around 2030.
"High-energy physics provides a unique environment in which AI can be developed and tested with exceptional rigour," said CERN CIO Enrica Porcari. While the initial scope is high-energy physics, both organizations say the approach could eventually serve the broader scientific community. The agreement is currently a statement of intent, not a finalized contract.