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AWS teams up with F1 on ‘deep learning’ autonomous race

By 4th May 2020 No Comments

The race tournament is based on machine-learning and those taking part include F1 driver Daniel Ricciardo.

Amazon Web Services (AWS) has teamed up with Formula 1 to create an autonomous racing tournament, the AWS DeepRacer ProAm Race.

Those taking part build models in machine-learning platform Amazon SageMaker then train, test, and iterate these models using the AWS DeepRacer 3D racing simulator.

Competitors in the AWS DeepRacer ProAm Race will include Renault F1 team driver Daniel Ricciardo and Tatiana Calderon, test driver for the Alfa Romeo F1 team, as well as amateur drivers.

AWS has worked with F1 for the last few seasons to find ways to use machine learning to make cars that are faster and more fuel-efficient, and the AWS DeepRacer ProAm Race has stemmed from this relationship.

Every month the AWS DeepRacer League runs a new virtual race in the AWS DeepRacer console, and those taking part this month (May 2020) will be able to race their models against those built and tuned by Formula 1 drivers and their crews.

The lineup of Formula 1 drivers and crew taking part:
Rob Smedley – Director of Data Systems for F1 and AWS Technical Ambassador.
Daniel Ricciardo – F1 driver for Renault, with 7 Grand Prix wins and 29 podium appearances.
Tatiana Calderon – Test driver for the Alfa Romeo F1 team and 2019 F2 driver.
Each pro will be partnered with a member of the AWS Pit Crew tasked with teaching them new skills

At the end of May, the top AWS DeepRacer amateurs will face off against the professionals in a head to head elimination race, scheduled for the week of June 1.

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