How AI robots learn just like babies — but a million times faster w/ NVIDIA’s Rev Lebaredian

Computers have been outperforming humans for years on tasks like solving complex equations or analyzing data, but when it comes to the physical world, robots struggle to keep up. It can take years to train robots to function in the messy chaos of the “real world” — but thanks to some unlikely help from the film and video gaming industry, robots today are using AI to fast-track their learning and master new skills using simulated environments. Rev Lebaredian is the vice president of Omniverse and simulation technology at NVIDIA, a company known for its work on advancements in AI, video game graphics cards, accelerated computing and computer graphics. Rev and Bilawal discuss how simulated “mirror worlds” can help robots learn faster, the trillion-dollar market for physical AI, and the future of AI robot assistance in our everyday lives. For transcripts for The TED AI Show, visit go.ted.com/TTAIS-transcripts Want to help shape TED’s shows going forward? Fill out our survey! For the Idea Search application, go to ted.com/ideasearch Hosted on Acast. See acast.com/privacy for more information.