CERN and French artificial intelligence company Mistral AI have announced a long-term partnership to develop a new AI model designed to advance scientific discovery. The project aims to create a Large Physics Model that could help researchers analyse particle collisions and identify new signals in experimental data.
The initiative will focus on high-energy physics at CERN’s Large Hadron Collider (LHC), one of the world’s most powerful particle accelerators. Unlike conventional large language models trained primarily on text, the planned AI system will learn from billions of simulated particle collisions.
How the new AI model will work
The proposed model is designed to support several stages of particle physics research, including reconstructing collisions, identifying particles, detecting unexpected signals and evaluating future detector designs.
Researchers currently rely on specialised algorithms to process detector signals and reconstruct the particles produced during collisions. CERN and Mistral aim to develop a single pretrained model capable of supporting multiple tasks across this process, potentially reducing reliance on separate algorithms.
The approach could help scientists analyse increasingly complex experimental data while improving how AI tools are developed and tested for scientific applications.
Why CERN’s data matters
CERN holds approximately one exabyte of experimental data from the Large Hadron Collider, equivalent to around one million terabytes. The volume of particle collisions is expected to increase tenfold following the planned High-Luminosity LHC upgrade, which is expected to begin operating around 2030.
This growing volume of data presents both an opportunity and a challenge for researchers. AI systems capable of processing complex scientific information could help physicists extract useful insights from experiments that would otherwise require extensive computational analysis.
CERN’s expertise in particle physics, scientific computing and experimental data will be combined with Mistral AI’s experience in developing large-scale AI models.
Could the technology benefit other sciences?
Although particle physics is the initial focus, the partnership could eventually support AI applications in other scientific disciplines. Both organisations have indicated that the work could contribute to broader scientific research.
However, the project remains in the development stage. CERN and Mistral have not disclosed a specific completion timeline or budget, and the model’s eventual performance will need to be established through research and testing.
The partnership highlights the growing role of specialised AI systems in scientific research, where models can be designed around complex datasets and technical problems rather than general-purpose text generation.
Source: Reuters, October 15, 2026; CERN’s official announcement.
