The BMW Group and Mistral AI are partnering to advance the use of AI in crash simulation, aiming to improve quality, accuracy and speed in complex engineering tasks. The partnership marks a first step towards scaling domain-specific AI across further areas of vehicle development and the BMW Group value chain. By combining their expertise, the companies aim to build specialized AI models that support complex development tasks.
The scale and complexity of crash simulation at the BMW Group underscore the need for domain-specific AI. Each week, the company runs thousands of virtual crash simulations, generating vast amounts of engineering data. This has resulted in a historical dataset of over one petabyte of crash simulation data, providing highly detailed insights into vehicle structures and material behaviour.
The partnership between BMW and Mistral AI demonstrates how industry-specific AI models can help solve complex engineering challenges such as crash simulation. As Industrial AI becomes the new frontier for AI, this collaboration shows the potential for domain-specific knowledge to be embedded directly into AI systems.
To scale this approach, the BMW Group is focusing on so-called Large Industry Models (LIM). These are AI systems trained on industry-specific engineering and simulation data from vehicle development and safety testing. Unlike general-purpose AI systems, LIMs embed domain-specific knowledge directly into the AI model, requiring not only industrial data but also deep domain expertise and technical environments.
The partnership highlights the importance of industrial data for the next phase of data-driven value creation and strengthens the BMW Group's AI and innovation ecosystem. The collaboration is a significant step towards integrating AI more effectively across various areas of vehicle development.
The use of industrial data is a key factor in translating artificial intelligence into value creation, according to Dr. Franz Decker, CIO and Senior Vice President of the BMW Group. By combining their engineering datasets with Mistral AI's model training capabilities, they are building specialized AI that supports complex development tasks.
The historical dataset of over one petabyte of crash simulation data provides a unique foundation for training an industrial AI model. This scale and complexity require domain-specific AI to tackle the intricacies of vehicle structures and material behaviour effectively.
The collaboration between BMW and Mistral AI showcases the potential for industry-specific AI models to drive innovation in complex engineering tasks. As the automotive industry continues to evolve, the integration of AI will play a crucial role in shaping its future.
As the partnership progresses, it is likely that we will see more companies adopting similar approaches to integrate domain-specific knowledge into their AI systems. This could lead to significant breakthroughs in various areas of vehicle development and engineering.
The collaboration highlights the importance of industrial data for next phase of value creation.
