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Learning Semantically Meaningful and Actionable Representations with Ashutosh Saxena - TWiML Talk #170

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)

This Week in Machine Learning & AI is the most popular podcast of its kind. TWiML & AI caters to a highly-targeted audience of machine learning & AI enthusiasts. They are data scientists, developers, founders, CTOs, engineers, architects, IT & product leaders, as well as tech-savvy business leaders. These creators, builders, makers and influencers value TWiML as an authentic, trusted and insightful guide to all that’s interesting and important in the world of machine learning and AI. Technologies covered include: machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, deep learning and more.