CERN and Mistral Partner to Develop Foundation Models for Particle Physics
Strategic collaboration aims to build the first Large Physics Model for scientific discovery.
1Strategic AI Partnership
CERN and Mistral have signed a statement of intent to develop foundation models for scientific discovery. This long-term partnership combines CERN’s expertise in fundamental physics and large-scale computing with Mistral’s leadership in training large-scale AI models. The collaboration aims to strengthen European technological capabilities while advancing artificial intelligence for the scientific community.
2Large Physics Model Development
The core objective is creating a single pretrained Large Physics Model, representing the first foundation model for collider physics. This model will be trained on billions of simulated proton-proton collisions from the Large Hadron Collider. It is designed to support diverse tasks, including particle identification, signal flagging, and evaluating future detector designs.
3Transforming Collision Reconstruction
Current reconstruction relies on chains of specialized algorithms to transform detector signals into usable physics data. Foundation models aim to improve this by learning across the entire reconstruction chain within a single architecture. This approach builds upon existing machine learning advances, potentially offering superior performance compared to the current fragmented algorithmic methods.
4Data Scale and Precision
CERN currently manages approximately one exabyte of experimental data from the Large Hadron Collider. This massive volume provides a unique environment for testing AI with exceptional rigor. The upcoming High-Luminosity LHC, expected to begin operations around 2030, will increase collision data by tenfold, creating further opportunities for advanced model training.
5Rigorous Testing Environment
Enrica Porcari, CERN’s Chief Information Officer, emphasized that high-energy physics offers a unique environment for developing and testing AI. The partnership intends to create capabilities that serve the broader physics community. By sharing these tools, the collaboration seeks to ensure that advancements in AI are accessible and beneficial for scientific research.
6Pushing Scientific Frontiers
Johannes Brandstetter, Vice-President of AI for Engineering at Mistral, stated the partnership explores how large-scale AI models address the growing complexity of particle physics. Together, the organizations aim to push the frontiers of high-energy physics. This effort focuses on developing AI capabilities that could lead to significant new scientific discoveries globally.
7European Technological Sovereignty
Mistral, a French-headquartered AI lab, builds open-weight models and infrastructure enabling public institutions to own and customize their AI. This partnership highlights European excellence by merging fundamental science with state-of-the-art AI development. It marks a significant step toward creating tools capable of handling the extreme scale and precision required in modern science.
8Future Scientific Impact
The collaboration represents a shift toward foundation models capable of addressing the complexity of modern scientific data. By leveraging the scale of the LHC, the project sets a precedent for AI-driven discovery. The success of this initiative could redefine how researchers analyze experimental data, setting new standards for scientific research methodologies worldwide.