𝗡𝗔𝗦𝗔'𝘀 𝘀𝗲𝗰𝗿𝗲𝘁 𝘄𝗲𝗮𝗽𝗼𝗻 𝗳𝗼𝗿 𝗠𝗮𝗿𝘀 𝗺𝗶𝘀𝘀𝗶𝗼𝗻𝘀? 𝗗𝗮𝘁𝗮 𝗳𝗿𝗼𝗺 𝗲𝗻𝗱𝘂𝗿𝗮𝗻𝗰𝗲 𝗿𝗮𝗰𝗶𝗻𝗴.
Mars is too far for real-time problem-solving. A simple question takes 20 minutes to reach Earth and another 20 minutes for a response. That’s a 40-minute delay—too long when facing a life-threatening emergency.
NASA needs AI that predicts failures and fixes them before they become catastrophic. To train it, they’re tapping into an unlikely data source: endurance racing.
Dozens of high-performance cars generate massive amounts of real-time performance data.
Last week, ahead of the 24 Hours of Daytona, IMSA - International Motor Sports Association held a tech symposium with representatives from NASA - National Aeronautics and Space Administration, Michelin, AMD, and Microsoft. While they were all there to discuss racing, everyone was there to talk about simulation and AI.
What better stress test for machines and AI than a 24-hour, 60-car race?
Teams are using predictive analytics to anticipate failures before they happen. Every millisecond counts—just like in a deep-space emergency.
NASA’s Ian Maddox said it best: “You guys have things that roll, and we have things that rotate... you have things that get hot and cold, and so do we.”
Beyond machine performance, AI is being trained to predict human behavior in high-pressure environments. Microsoft has already done this with esports data from Rocket League, refining real-world racing AI. Now, those same models are being adapted for space missions.
This isn’t just theory. NASA is already incorporating IMSA data into its simulations, building AI to process real-time performance data, and helping astronauts survive the journey to Mars.
If AI can predict tire wear at 200 mph, it can diagnose spacecraft malfunctions before they become fatal.
Innovation breakthroughs occur at the edges. The most significant advancements don’t always originate from within; they arise from looking sideways. Companies that acknowledge this will shape the future.
NASA is looking to IMSA. Where are you looking?
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