CERN, the European Laboratory for Particle Physics, and Mistral, a European developer of large-scale AI models, have signed a statement of intent to form a long-term strategic partnership. The goal is to develop foundation models for scientific discovery, beginning with high-energy physics.
What Is the Large Physics Model?
The centerpiece is a single pretrained model that the partners call the Large Physics Model, described as the first foundation model for collider physics. It will be trained on billions of simulated proton-proton collisions at CERN’s Large Hadron Collider, the world’s largest and most powerful particle accelerator. The model is designed to support multiple tasks, from reconstructing particle collisions and identifying particles to flagging unexpected signals and evaluating future detector designs.
How Could Foundation Models Change Particle Reconstruction?
Reconstruction is one of the field’s central challenges. Today it depends on a chain of specialized algorithms that gradually turn detector signals into the particles and other objects physicists use in their analysis. Machine learning has long improved performance on individual steps in that chain. Foundation models could learn across the entire chain and handle several tasks within one system.
Why Is CERN's Data Useful for Training AI?
The partners say CERN’s data gives them an unusual testing ground. The laboratory stores around one exabyte, or one million terabytes, of experimental data from the LHC. The number of collisions is set to rise tenfold with the High-Luminosity LHC, which is expected to begin operating around 2030.
“High-energy physics provides a unique environment in which artificial intelligence can be developed and tested with exceptional rigor,” said Enrica Porcari, CERN’s Chief Information Officer. “We are partnering with Mistral, a leading European AI company, to advance AI capabilities that can serve the whole physics community and be shared.”
Johannes Brandstetter, Vice President of AI for Engineering at Mistral, said the company looks forward to exploring what large-scale models can offer as particle physics grows more complex. “Together, we have the opportunity to push the frontiers of high-energy physics, developing AI capabilities that have the potential to lead to new scientific discoveries,” he said.
CERN and Mistral describe the agreement as a step toward a new generation of AI tools that can handle the scale, precision and complexity of modern science. Mistral, which is headquartered in France, builds open-weight models, products and infrastructure that enable enterprises, public institutions and advanced industries to customize and control their own AI systems.
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