Awards Run Sheet

Deep Racer

Virtual and Physical racing event where cars are trained using Machine Learning to race around a track.

The virtual Deep Racer Adelaide ran from 3 through 10 November. We used the 2019 Deep Racer championship racetrack. Tonight we’re celebrating the top three winners and 42 Adelaide; the free coding school, who had 7 racers in the top 20.

The winners are:

Special Mention

42 with 7 racers from 6th to 19th on the leaderboard

  • Kurtis Nicks 6th
  • Tom Bertozzi 7th
  • Jason Williamson 9th
  • Matthew Robinson 11th
  • Lees Ta 15th
  • Nick Speedy 16th
  • Daniel Ong 19th What an awesome demonstration of the collaborative power of the 42 approach to learning

Third place

Cassie Hames from Sage Automation with a time of 8.859 seconds An awesome solo effort from Cassie and a great demonstration of her STEM skills.

Second Place

Hubble.sh with a time of 8.805 seconds the building efficiency startup. Marco Salinas, founder and CEO and Matias Peralta Ramos Data Scientist and AI Researcher. Great work guys.

First Place

Australian Institute of Machine Learning (AIML) with a time of 8.147 seconds

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