BMW, Mistral AI partner for AI use in crash simulation
BMW and Mistral AI are partnering to advance the use of AI in crash simulation, aiming to improve quality, accuracy, and speed in engineering tasks, a press release states.
“For the BMW Group, the use of industrial data is a key factor in translating artificial intelligence into value creation,” Franz Decker, BMW CIO and senior vice president, says in the release. “By combining our engineering datasets with Mistral AI’s model training capabilities, we are building specialized AI, which supports complex development tasks.”
Each week, BMW runs thousands of virtual crash simulations that generate vast amounts of engineering data, the release states. This has resulted in a historical database of over 1 petabyte of crash simulation data.
The data provides highly detailed insights into vehicle structures and materials, which provides a unique foundation for training industrial AI models, the release says.
“As industrial AI becomes the new frontier for AI, we are proud to partner with the BMW Group,” said Marjorie Janiewicz, Mistral AI chief revenue officer, in the release. “This collaboration shows how industry-specific AI models can help solve complex engineering challenges such as crash simulation.”
BMW will focus on large industry models (LIM), which are trained on industry-specific engineering and simulation data from vehicle development and safety tests. LIMS differ from general-purpose AI systems because of embedded domain-specific knowledge. This requires industrial data and deep domain expertise along with technical environments that allow AI systems to learn directly from BMW’s development processes.
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Photo courtesy of BMW