# CERN and Mistral Partner to Develop Large Physics AI Models Strategic collaboration aims to build foundation models for scientific discovery using LHC collision data. - **Source:** [Hacker News](https://news.ycombinator.com) - **Published:** 2026-10-19 - **Topic:** [Data & AI](https://brifing.si/c/data-ai) - **Original article:** - **On Brifing:** https://brifing.si/s/a1a5be9e-4226-4765-a592-a27349df9854 ## Strategic AI Partnership CERN and Mistral have signed a formal statement of intent to develop foundation models for scientific research. This collaboration merges CERN’s vast expertise in fundamental physics and large-scale computing with Mistral’s leadership in training complex AI models. The primary goal is to advance scientific discovery through shared technological capabilities and resources. ## Large Physics Model Development The partnership focuses on creating a single pretrained Large Physics Model, marking the first foundation model for collider physics. This system will be trained on billions of simulated proton-proton collisions from the Large Hadron Collider. It aims to support diverse tasks, including particle identification, signal flagging, and evaluating future detector designs. ## Overcoming Reconstruction Challenges Current analysis at the LHC relies on a chain of specialized algorithms to transform detector signals into usable physics data. Foundation models offer a transformative approach by learning across the entire reconstruction chain simultaneously. This shift aims to improve performance beyond the capabilities of existing, isolated machine learning tasks currently in use. ## Data Scale and Precision CERN currently manages approximately one exabyte of experimental data generated by the Large Hadron Collider. The upcoming High-Luminosity LHC, scheduled for operation around 2030, is expected to increase collision volumes tenfold. This massive dataset provides a unique, high-precision environment for testing and refining advanced artificial intelligence models for complex scientific applications. ## Rigorous AI Testing Environment High-energy physics offers a unique setting where artificial intelligence can be developed and tested with extreme rigor. Enrica Porcari, CERN’s Chief Information Officer, emphasized that the partnership seeks to create AI capabilities that serve the broader physics community. These tools are intended to be shared, fostering innovation across the global scientific landscape. ## Broadening Scientific Impact While the initial focus remains on high-energy physics, the collaboration has the potential to influence the wider scientific community. By developing versatile AI approaches, the partners aim to address the scale and complexity of modern research. This initiative represents a significant step toward creating a new generation of powerful, adaptable scientific tools. ## Mistral’s Technological Contribution Mistral, a French-based global AI lab, provides infrastructure for building state-of-the-art open-weight models. Johannes Brandstetter, Vice-President of AI for Engineering, noted that the partnership explores how large-scale models can manage the growing complexity of particle physics. Their involvement enables public institutions to own, customize, and control their AI models for specific research. ## European Scientific Advancement This partnership signifies a major effort to combine European excellence in artificial intelligence with fundamental scientific research. By addressing the specific needs of modern physics, the collaboration aims to strengthen Europe’s technological capabilities. The initiative sets a precedent for how large-scale AI can be integrated into complex, data-intensive scientific discovery processes. ## Sources covering this story - https://home.cern/cern-and-mistral-join-forces-to-accelerate-ai-for-science/ — --- _Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._