In Formula 1, milliseconds decide races. The cars generate massive amounts of data, around 400 GB per race from sensors tracking aerodynamics, fuel usage, tire wear, and driver behavior. Add in data from simulators and previous races, and no human team can analyze it all in real time. That’s where machine learning comes in. And … Continue reading How Formula 1 Teams Use Machine Learning to Win Races