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
Hosted on Acast. See acast.com/privacy for more information.
You May Also Like

Tech Update | BNR
BNR Nieuwsradio

The Good Tech Companies
HackerNoon

AI Fire Daily
AIFire.co

Al otro lado del micrófono
Jorge Marín Nieto - Editor de podcast en EOVE Productora

This Week in Startups
Jason Calacanis
Late Night Linux
The Late Night Linux Family

TBPN
John Coogan & Jordi Hays
Hacker Public Radio
Hacker Public Radio

CriptoMonedas TV
CriptoMonedas TV

The Rollup
Where digital assets and finance converge. Hosted by Andy and Robbie.
Community discussion