CERN and Mistral sign a statement of intent to establish a strategic partnership
CERN and Mistral sign a statement of intent to establish a strategic partnership
CERN and Mistral sign a statement of intent to advance AI for science and strengthen Europe’s scientific and technological capabilities.
欧洲核子研究中心（CERN）与 Mistral 签署了一份意向声明，旨在推进科学人工智能的发展，并加强欧洲的科学与技术能力。
CERN, the European Laboratory for Particle Physics, and Mistral, a European developer of large-scale AI models, have signed a statement of intent to establish a long-term strategic partnership focused on developing foundation models for scientific discovery.
欧洲核子研究中心（欧洲粒子物理实验室）与欧洲大型人工智能模型开发商 Mistral 已签署意向声明，将建立长期战略合作伙伴关系，专注于开发用于科学发现的基础模型。
The partnership brings together CERN’s expertise in fundamental physics, scientific data and large-scale computing with Mistral’s leadership in large-scale model training, leveraging these combined capabilities and resources to advance AI for science on an exceptional scale. While the initial focus is on high-energy physics, the partnership has the potential to contribute to the development of AI approaches that can serve the broader scientific community.
此次合作汇集了 CERN 在基础物理、科学数据和大规模计算方面的专业知识，以及 Mistral 在大规模模型训练方面的领先地位，利用这些综合能力和资源，在卓越的规模上推进科学人工智能的发展。虽然最初的重点是高能物理，但该伙伴关系有望为开发能够服务于更广泛科学界的人工智能方法做出贡献。
At the heart of this work is the ambition to develop a single pretrained Large Physics Model – the first foundation model for collider physics. It 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, and designed to support multiple tasks, from reconstructing particle collisions and identifying particles to flagging unexpected signals and evaluating future detector designs.
这项工作的核心目标是开发一个单一的预训练大型物理模型——这是首个针对对撞机物理的基础模型。它将基于 CERN 大型强子对撞机（LHC，世界上最大、最强大的粒子加速器）产生的数十亿次模拟质子-质子碰撞进行训练，旨在支持多项任务，从重建粒子碰撞和识别粒子，到标记意外信号以及评估未来的探测器设计。
The model is intended to address a fundamental challenge in analysing LHC collisions. Today, reconstruction relies on a chain of specialised algorithms that progressively transform detector signals into the particles and other objects used for physics analysis. Machine learning has long played an important role in this process, improving performance across a range of specialised tasks. Foundation models offer the potential to build on these advances, learning across the whole reconstruction chain and supporting multiple tasks within a single model.
该模型旨在解决分析 LHC 碰撞过程中的一个根本性挑战。目前，重建工作依赖于一系列专门的算法，这些算法将探测器信号逐步转化为用于物理分析的粒子和其他对象。机器学习长期以来在这一过程中发挥着重要作用，提升了一系列专门任务的性能。基础模型有望在此基础上进一步发展，通过学习整个重建链，并在单一模型内支持多项任务。
“High-energy physics provides a unique environment in which artificial intelligence can be developed and tested with exceptional rigour. We are partnering with Mistral, a leading European AI company, to advance AI capabilities that can serve the whole physics community and be shared,” said Enrica Porcari, CERN’s Chief Information Officer.
CERN 首席信息官 Enrica Porcari 表示：“高能物理提供了一个独特的环境，人工智能可以在此以极高的严谨性进行开发和测试。我们正在与欧洲领先的人工智能公司 Mistral 合作，以推进能够服务于整个物理学界并可共享的人工智能能力。”
CERN is home to one of the world’s largest volumes of scientific data, with around one exabyte – one million terabytes – of experimental data from the LHC stored to date. The number of collisions is set to increase tenfold with the HL-LHC, which is expected to begin operation around 2030. This combination of scale and scientific precision provides exceptional conditions for developing and testing AI.
CERN 拥有世界上规模最大的科学数据集之一，迄今为止已存储了约 1 艾字节（100 万太字节）来自 LHC 的实验数据。随着预计于 2030 年左右开始运行的高亮度大型强子对撞机（HL-LHC）的投入使用，碰撞次数将增加十倍。这种规模与科学精确度的结合，为开发和测试人工智能提供了卓越的条件。
“We are proud to work with CERN to explore what large-scale AI models can bring to the growing complexity of particle physics. 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,” said Johannes Brandstetter, Vice-President of AI for Engineering at Mistral.
Mistral 工程人工智能副总裁 Johannes Brandstetter 表示：“我们很自豪能与 CERN 合作，探索大型人工智能模型能为日益复杂的粒子物理学带来什么。我们共同有机会推动高能物理的前沿，开发出有潜力带来新科学发现的人工智能能力。”
By bringing together European excellence in AI and fundamental science, this 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.
通过汇集欧洲在人工智能和基础科学领域的卓越成就，此次合作标志着向新一代人工智能工具迈进了一步，这些工具将有能力应对欧洲乃至全球现代科学在规模、精度和复杂性方面的挑战。
Mistral is a global AI lab building state-of-the-art open-weight models, products and infrastructure that enable enterprises, public institutions and advanced industries to own, customise and control their AI. Headquartered in France, Mistral has a strong international presence across Europe, North America and Asia.
Mistral 是一家全球性人工智能实验室，致力于构建最先进的开放权重模型、产品和基础设施，使企业、公共机构和先进产业能够拥有、定制和控制其人工智能。Mistral 总部位于法国，在欧洲、北美和亚洲拥有强大的国际影响力。
For more information, visit www.mistral.ai.
欲了解更多信息，请访问 www.mistral.ai。
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