Monolith, BMW to Use AI to Simulate Car Crashes
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Monolith, BMW to Use AI to Simulate Car Crashes

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Rodrigo Andrade By Rodrigo Andrade | Journalist & Industry Analyst - Wed, 06/22/2022 - 16:22

BMW Group is using Monolith's pioneering artificial intelligence (AI) to analyze and simulate different physical scenarios that would not be possible to replicate without the use of technology, said software company Monolith. The AI is being used to simulate highly complex physical challenges, such as crash tests and aerodynamics, and to predict the performance of BMW’s vehicles during testing. 

“We are excited to see how BMW Group engineers are using pioneering technologies such as Monolith to reduce the cost and time of product development as they develop the next generation of premium vehicles,” said Richard Ahlfeld, Executive Director and Founder, Monolith.

The COVID-19 outbreak accelerated the adoption of numerous technologies, including AI. In Mexico, numerous companies are adopting the technology pushed by the need to meet users’ demands. However, Latin American countries have a long way to go in terms of AI adoption and use, but there has been an overall growth in the adoption of AI in the region. A survey of Latin American companies found that 66 percent of them accelerated their use of AI since the COVID-19 pandemic started, according to data from the AI Adoption Index and IBM and Morning Consult.

BMW began working with Monolith in 2019 through the program “Startup Garage” to predict the exerted force in the passenger during a crash using simulations. After working together for two years, both companies are looking for more comprehensive analyses, which will be possible by merging the experience of automotive experts with data science to ensure that the integration between the software and vehicles is as fast and smooth as possible. 

“When the intractable physics of a complex vehicle system means it cannot be truly solved through simulation, AI and self-learning models can fill the gap to instantly understand and predict vehicle performance. This gives engineers a tremendous new tool to perform less testing and learn more from their data by reducing the amount of simulation and physical testing required while making existing data more valuable,” said Ahlfeld.

AI is taking a growing role in the automotive industry, explained Ahlfeld. “Suddenly, the combination of engineering expertise and machine learning becomes a competitive game changer and provides our customers with the means to create world-class products more efficiently.”

Photo by:   qimono

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