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UBER and Intel’s Machine Learning platforms

UBER and Intel’s Machine Learning platforms

FromPractical AI: Machine Learning, Data Science


UBER and Intel’s Machine Learning platforms

FromPractical AI: Machine Learning, Data Science

ratings:
Length:
29 minutes
Released:
Nov 19, 2018
Format:
Podcast episode

Description

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.
Released:
Nov 19, 2018
Format:
Podcast episode

Titles in the series (100)

Making artificial intelligence practical, productive, and accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, and more). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!