CERN partners with Mistral to build a Large Physics Model

CERN has spent decades smashing protons together to understand the universe. Now it wants an AI model that can make sense of the wreckage. On October 15, 2026, the European Laboratory for Particle Physics signed a statement of intent with Mistral AI, the French developer behind the Mistral family of language models. The goal is a pretrained Large Physics Model, a foundation model built specifically for high-energy physics. What the two sides are building The model is expected to train on billions of simulated proton-proton collision events tied to the Large Hadron Collider (LHC). The idea is to give physicists a general-purpose tool rather than a pile of narrow, single-task algorithms. Three applications sit at the top of the list. The first is collision reconstruction, which means working backward from detector signals to figure out what actually happened in a collision. The second is particle identification, sorting out which particles flew out of a given event. The third is anomaly detection, flagging events that don’t match what known physics predicts. The data problem driving the deal CERN does not lack raw material. Its LHC experiments have produced close to one exabyte of da...