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Learning Semantically Meaningful and Actionable Representations with Ashutosh Saxena - TWiML Talk #170
FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Learning Semantically Meaningful and Actionable Representations with Ashutosh Saxena - TWiML Talk #170
FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
ratings:
Length:
46 minutes
Released:
Aug 6, 2018
Format:
Podcast episode
Description
In this episode I'm joined by Ashutosh Saxena, a veteran of Andrew Ng’s Stanford Machine Learning Group, and co-founder and CEO of Caspar.ai. Ashutosh and I discuss his RoboBrain project, a computational system that creates semantically meaningful and actionable representations of the objects, actions and observations that a robot experiences in its environment, and allows these to be shared and queried by other robots to learn new actions. We also discuss his startup Caspar, which applies these principles to the challenge of creating smart homes. For complete show notes, visit https://twimlai.com/talk/170.
Released:
Aug 6, 2018
Format:
Podcast episode
Titles in the series (100)
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