{"id":257506,"date":"2026-05-28T04:45:00","date_gmt":"2026-05-28T08:45:00","guid":{"rendered":"https:\/\/news-you-need.com\/index.php\/2026\/05\/28\/bmw-group-and-mistral-ai-advance-ai-in-crash-simulation\/"},"modified":"2026-05-28T04:55:08","modified_gmt":"2026-05-28T08:55:08","slug":"bmw-group-and-mistral-ai-advance-ai-in-crash-simulation","status":"publish","type":"post","link":"https:\/\/news-you-need.com\/index.php\/2026\/05\/28\/bmw-group-and-mistral-ai-advance-ai-in-crash-simulation\/","title":{"rendered":"BMW Group and Mistral AI advance AI in crash simulation"},"content":{"rendered":"<p><a href=\"https:\/\/www.press.bmwgroup.com\/global\/article\/detail\/T0458125EN\/bmw-group-and-mistral-ai-advance-ai-in-crash-simulation\">BMW Group and Mistral AI advance AI in crash simulation<\/a><\/p>\n<p><a href=\"https:\/\/www.press.bmwgroup.com\/global\/article\/detail\/T0458125EN\/bmw-group-and-mistral-ai-advance-ai-in-crash-simulation\">https:\/\/www.press.bmwgroup.com\/global\/article\/detail\/T0458125EN\/bmw-group-and-mistral-ai-advance-ai-in-crash-simulation<\/a><\/p>\n<p>Publish Date: <a href=\"publish_date]\">2026-05-28 04:45:00<\/a><\/p>\n<p>Source Domain: <a href=\"www.press.bmwgroup.com\">www.press.bmwgroup.com<\/a><\/p>\n<p>\n  <strong>Munich \/ Paris.\u00a0<\/strong> The BMW Group and Mistral AI are<br \/>\n  partnering to advance the use of AI in crash simulation. The aim is to<br \/>\n  improve quality, accuracy and speed in complex engineering tasks. The<br \/>\n  collaboration marks a first step towards scaling domain-specific AI<br \/>\n  across further areas of vehicle development and the BMW Group value<br \/>\n  chain.\u202f \u00a0<\/p>\n<p>\u201cFor the BMW Group, the use of industrial data is a key factor in<br \/>\n    translating artificial intelligence into value creation,\u201d said Dr.<br \/>\n    Franz Decker, CIO and Senior Vice President of the BMW Group. \u201cBy<br \/>\n    combining our engineering datasets with Mistral AI\u2019s model training<br \/>\n    capabilities, we are building specialized AI which supports complex<br \/>\n    development tasks.\u201d \u00a0<\/p>\n<p>\n    <strong>Complexity and Data Volume in Crash Simulation<\/strong> \u00a0<\/p>\n<p>The scale and complexity of crash simulation at the BMW Group<br \/>\n    underline the need for domain-specific AI. Each week, the company<br \/>\n    runs thousands of virtual crash simulations, generating vast amounts<br \/>\n    of engineering data. Over time, this has resulted in a historical<br \/>\n    dataset of over one petabyte of crash simulation data. It provides<br \/>\n    highly detailed insights into vehicle structures and material<br \/>\n    behaviour, forming a unique foundation for training an industrial AI<br \/>\n    model. \u00a0<\/p>\n<p>\u201cAs Industrial AI becomes the new frontier for AI, we are proud to<br \/>\n    partner with\u00a0the\u00a0BMW Group\u201d said Marjorie Janiewicz, Chief Revenue<br \/>\n    Officer of Mistral AI.\u00a0\u201cThis collaboration shows how industry<br \/>\n    specific AI models can help solve complex engineering challenges<br \/>\n    such as crash simulation.\u201d \u00a0<\/p>\n<p>\n    <strong>Large Industry Model\u00a0as technical\u00a0foundation<\/strong> \u00a0<\/p>\n<p>To scale this approach, the BMW Group is focusing on so-called<br \/>\n    Large Industry Models (LIM). These are AI systems trained on<br \/>\n    industry specific engineering and simulation data from vehicle<br \/>\n    development and safety testing. Unlike general\u2011purpose AI systems,<br \/>\n    LIMs embed&#8230;<\/p>\n<p><a href=\"https:\/\/www.press.bmwgroup.com\/global\/article\/detail\/T0458125EN\/bmw-group-and-mistral-ai-advance-ai-in-crash-simulation\">Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>BMW Group and Mistral AI advance AI in crash simulation https:\/\/www.press.bmwgroup.com\/global\/article\/detail\/T0458125EN\/bmw-group-and-mistral-ai-advance-ai-in-crash-simulation Publish Date: 2026-05-28 04:45:00&#8230;<\/p>\n","protected":false},"author":1,"featured_media":257508,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/mediapool.bmwgroup.com\/cache\/P9\/202605\/P90642837\/P90642837-bmw-group-and-mistral-ai-advance-ai-in-crash-simulation-2249px.jpg","fifu_image_alt":"","footnotes":""},"categories":[14],"tags":[154],"class_list":["post-257506","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","tag-mistral"],"_links":{"self":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/257506"}],"collection":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/comments?post=257506"}],"version-history":[{"count":1,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/257506\/revisions"}],"predecessor-version":[{"id":257510,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/posts\/257506\/revisions\/257510"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/media\/257508"}],"wp:attachment":[{"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/media?parent=257506"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/categories?post=257506"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/news-you-need.com\/index.php\/wp-json\/wp\/v2\/tags?post=257506"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}