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Machine learning hackathon will be hosted in Sudbury this winter

Hard-Line's Machine Learning Hackathon hosted by NORCAT will be held from Jan. 17 to Jan. 19
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Registration is open to anyone in Canada or the U.S. with expertise in machine learning, including post-secondary students, graduates, and industry professionals. (Tony Saxon/GuelphToday)

This winter, post-secondary students, graduates, and industry professionals will get the chance to put their programming skills to the test in Sudbury to work on machine learning challenges. 

NORCAT will play host to Hard-Line's first ever Machine Learning Hackathon, which will take place on Maley Drive from Jan. 17 to Jan. 19, 2020. 

The event will showcase Sudbury as an innovation hub of Ontario, grow the machine learning community in the region, and expose participants to opportunities in the sector. 

Teams will spend 42 hours working on one of two challenges. 

Challenge 1 will require teams to use camera data to identify, segment, and track robotic arms. Anyone with expertise in machine vision, supervised learning, and robotics is encouraged to apply. 

Challenge 2 will require teams to implement a reinforcement learning solution to control an autonomous mining vehicle. Anyone with expertise in reinforcement learning, autonomous vehicles, and remote sensing is encouraged to apply. 

A hackathon is an event where programmers collaborate on different projects typically hosted by a company or organization with an interest in technology. 

Teams will have the chance to network with peers, enrich their skill set, and compete on challenging problems with the chance to walk away with prizes. 

NORCAT's high-tech facilities will provide teams with the space to collaborate. Judges will evaluate each entry and announce the winners on Jan. 27. 

It is free to register and anyone with an interest in machine learning, including startups, graduates and students not currently working in the field, can participate. Registration is open to anyone in Canada or the United States. 

More information will become available online closer to the event. Visit hardlinehacks.com to register. 




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