How AWS And Formula 1 Used ML To Find Fastest Racer In The History Of The Sport

“F1 and Amazon Machine Learning Solutions Lab took a full year to build the algorithm that led to the fastest driver.” Formula 1 has been working with Amazon Web Services (AWS) to rank their racers. After a year of algorithmic heavy lifting, the results are out now. Ayrton Senna, the three-time world champion from Brazil came out on top, followed by the seven-time champion, Michael Schumacher with a time differential of +0.114 second. Whereas current World Champion Lewis Hamilton featured at 3rd position with a relative time of +0.275 seconds. F1 is a brutal sport. The room for error at the top is almost non-existent. So, how and why was machine learning leveraged by F1 analysts? Senna Or Schumacher? How Do We Know Ayrton Senna The project ‘Fastest Driver’, was heade
Subscribe or log in to Continue Reading

Uncompromising innovation. Timeless influence. Your support powers the future of independent tech journalism.

Already have an account? Sign In.

📣 Want to advertise in AIM? Book here

Picture of Ram Sagar
Ram Sagar
I have a master's degree in Robotics and I write about machine learning advancements.
Related Posts
AIM Print and TV
Don’t Miss the Next Big Shift in AI.
Get one year subscription for ₹5999
Download the easiest way to
stay informed