Learning Semantically Meaningful and Actionable Representations with Ashutosh Saxena

Learning Semantically Meaningful and Actionable Representations with Ashutosh Saxena

Learning Semantically Meaningful and Actionable Representations with Ashutosh Saxena

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.

External link: https://twimlai.com/twiml-talk-170-learning-semantically-meaningful-and-actionable-representations-with-ashutosh-saxena/