CERN and Mistral have signed a statement of intent to establish a long-term strategic partnership focused on developing foundation models for scientific discovery CERN.
The partnership aims to advance AI capabilities for the scientific community, with an initial focus on high-energy physics. The collaboration brings together CERN’s expertise in fundamental physics, scientific data, and large-scale computing with Mistral’s leadership in large-scale model training. The goal is to develop a single pretrained Large Physics Model, designed to support multiple tasks, from reconstructing particle collisions to identifying particles and evaluating future detector designs CERN.
The model will be trained on billions of simulated proton-proton collisions at CERN’s Large Hadron Collider (LHC), the world’s largest and most powerful particle accelerator. This initiative addresses a fundamental challenge in analyzing LHC collisions, where current methods rely on a chain of specialized algorithms. Foundation models offer the potential to build on these advances, learning across the entire reconstruction chain and supporting multiple tasks within a single model CERN.
CERN is home to one of the world’s largest volumes of scientific data, with around one exabyte of experimental data from the LHC stored to date. The number of collisions is set to increase tenfold with the High-Luminosity LHC (HL-LHC), expected to begin operation around 2030. This combination of scale and scientific precision provides exceptional conditions for developing and testing AI CERN.
Mistral, a global AI lab, is known for building state-of-the-art open-weight models, products, and infrastructure. The company has a strong international presence across Europe, North America, and Asia. The partnership marks a step towards a new generation of AI tools capable of addressing the scale, precision, and complexity of modern science in Europe and beyond CERN.