McLaren Racing is leveraging the power of artificial intelligence (AI) to gain a competitive edge in Formula 1. The team uses machine learning to analyze data and make informed decisions, while exploring generative AI for in-depth race simulations. McLaren showcased its technological advancements at the MTC, including real-time data monitoring, 'digital twins' of cars, and applications of AI in car performance, operations, and commercialization.
At the McLaren Technology Center in Woking, England, the Formula One racing giant explained how it's using AI to improve its chances on the track.
Using machine learning, McLaren is able to base its decision-making on probability, which in turn helps it train its AI models, according to Keyworth. He added that generative AI tools are offering new capabilities for F1 teams, including the ability to run in-depth simulations of certain possibilities that might take place during races.That could span from working out an ideal time a car should spend at pit stops, to deciding on which tires to add onto the vehicle when replacing an old set.
"Connectivity is probably the lifeblood of the sport," he said ahead of the Oct. 27 Mexico City Grand Prix race."Without it, nothing starts. No car can be on the track safely." "These mobile data centers are flown alongside the famous F1 cars to each race location and brought online remotely to enable real-time storage and data processing" from the MTC, Chintan Patel, Cisco's chief technology officer for the U.K. and Ireland, told CNBC.For fans and partners, he said, McLaren is increasingly trying to"enrich the journey and experience, and make our fans feel more connected.
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