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Formula 1 and Digital Twins
Last year, we dove into the world of Formula One (F1) racing and how its popularity has accelerated in recent years. Just a quick refresher, the season now spans 24 races, with teams bound by a $135 million annual budget cap. To stay under that cap, they have turned to digital tools – no surprise there, right?
F1 teams are using AI and machine learning to optimize car performance and reduce the chance of crashes and breakdowns. Now, instead of building physical prototypes right away, teams create virtual car designs, upload them into simulation software, and run a gauntlet of tests. These simulations do everything from analyzing airflow dynamics to stress-testing each nut and bolt under different weather conditions.
In simple terms, they’re making “digital twins” – virtual models of the race cars that allow teams to fine-tune every detail before hitting the track. Just a decade ago, testing relied on stopwatches and handheld engine thermometers. Now, in-car sensors deliver 1.1 million data points per second.
As AI advances, technology companies like cloud computing giant Oracle are rushing to support F1. They’re providing cloud infrastructure and AI expertise, proving that sports cars and cutting-edge tech are a perfect match.
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