APU-AWS DeepRacer competition 2023 showcases future machine learning and data science talent

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Competition kicked off in March with AWS experts guiding participants Inspire APU students to explore full potential of ML & cloud technology Imagine racing an autonomous car on a physical track while learning more about Reinforcement Learning (RL), an advanced Machine Learning (ML) technique. This dream turned into reality for racing enthusiasts on 13 April at Asia Pacific University of Technology & Innovation (APU), the first university in Malaysia to collaborate with Amazon Web Services (AWS), the world’s most widely adopted cloud offering, to host an AWS DeepRacer Competition.

Competition kicked off in March with AWS experts guiding participantsImagine racing an autonomous car on a physical track while learning more about Reinforcement Learning , an advanced Machine Learning technique.

The month-long competition kicked off in March with AWS experts providing APU participants with a console walkthrough and a hands-on machine learning workshop. Contestants had the opportunity to test their skills by experimenting with multiple sensor inputs, the latest reinforcement learning algorithms, neural network configurations, and simulation to real domain transfer methods before testing them in autonomous car racing.

Julian Lau, Head of ASEAN Growth Markets, Worldwide Public Sector, AWS, joined participants at the event and spoke about the collaboration with APU. “Artificial intelligence and machine learning are among the most transformative technologies that can help us address society’s challenging problems. We are pleased to work with APU to provide its students with the opportunity to experiment with AWS’s ML services and develop ML skills in a fun and engaging way.

Chong Jack Pang, the team leader for “Machine Meowers” and his team members Tan An Ning and Wong Kai Ze, Intelligent Systems Year-2 undergraduates and second-place winners, credited their achievement to the knowledge-based theory they learned from the programme at APU. “We have learned machine learning and reinforcement learning in the classroom, and the familiarity undoubtedly helped us in this competition. Though this was our first competition, we made it to second place.

 

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