UBER and Intel’s Machine Learning platforms (Practical AI #21)

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We recently met up with Cormac Brick (Intel) and Mike Del Balso (Uber) at O’Reilly AI in SF. As the director of machine intelligence in Intel’s Movidius group, Cormac is an expert in porting deep learning models to all sorts of embedded devices (cameras, robots, drones, etc.). He helped us understand some of the techniques for developing portable networks to maximize performance on different compute architectures.

In our discussion with Mike, we talked about the ins and outs of Michelangelo, Uber’s machine learning platform, which he manages. He also described why it was necessary for Uber to build out a machine learning platform and some of the new features they are exploring.

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Featuring:

• Cormac Brick – Twitter, Website
• Mike Del Balso – Website
• Chris Benson – Twitter, GitHub, LinkedIn, Website
• Daniel Whitenack – Twitter, GitHub, Website

Show Notes:

• Intel’s Movidius Group
• OpenVINO Toolkit
• ngraph
• Uber’s Michelangelo

Something missing or broken? PRs welcome!