Every second counts on the racetrack. That's one reason General Motors is integrating artificial intelligence into just about every aspect of its motorsports division. Tech Brew recently got a peek behind the scenes of where the machine learning magic happens: GM's Charlotte Technical Center in North Carolina. Jonathan Bolenbaugh, manager of data and analytics for GM Motorsports, gave us a virtual tour and explained how AI is changing the way the organization races. It "took a leap of faith when we started the team," he said. "Like, 'Hey, we're gonna use AI to change racing.' And then people are like, 'Why would we do that?' Well, because it's cool and it's fun and I like winning races." Performance review: Bolenbaugh—whose experience spans both racing and production vehicles—formed the data and analytics team two years ago. The idea is to use technology to assist the teams that GM Motorsports supports across racing series like NASCAR, IndyCar, and IMSA. Data scientists and engineers use machine learning to create models based on vehicle performance data, track conditions, and competitors' behaviors to inform race strategy. AI also is used in real-time race analysis to help the team make decisions and improve outcomes. "It's literally hundreds of people per car to get that out on the track," Bolenbaugh said. "This team was founded with the intent of using technology—specifically AI and [machine learning] and some statistical methods—to give those people the tools that they need to have the peak outcome every weekend." Keep reading here.—JG |
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