Nvidia chips turbocharge humanoid learning

Advancements in generative AI from chipmaker Nvidia (NVDA) are turbocharging the speed in which humanoid robots learn and emulate human tasks. What used to take hundreds of hours of data collection and programming has been reduced to a matter of hours. Backed by high-powered chips and GPU’s, robotics companies like Austin-based Apptronik are teaching their humanoid robot Apollo through a process called tele-operation. Using a VR headset and hand controls operated by a human, Apollo can collect data on a wide range of general purpose tasks, creating a mental model with the ultimate goal of having the ability to function like humans.

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Video Transcript

Well, if you're going to future proof your portfolio and you, you need to know what is coming up next in the latest edition of our video series, next airing on Monday.

We're giving you a glimpse at the future of technology.

Austin based robotics company apron is using high powered chips and GP us to teach their humanoid robot Apollo through a process called tele operation.

So go ahead and open up that right hand pressing down on the joystick.

I'm getting a crash course in machine learning, taking control of the humanoid robot Apollo from Austin based optronic.

Am I giving it too much force?

No, no, no, that was perfect.

So it's a process known as tele operation by every movement processed as data to create a mental model for Apollo.

Artificial intelligence is supercharging its development fueled by Nvidia's ecosystem built on vast amounts of data allowing humanoids to learn human tasks in record time.

The holy grail for is what we call zero shot learning or the ability to show the robot what to do and it can do it the same way that you do that task.

Tesla's optimist is leading a growing market backing from big tech companies like Amazon and Microsoft have set new records for funding this year and it's about to get even bigger with humanoid robots taking their first steps into the real world.

The latest edition of our series next airs Monday afternoon, be sure to visit the Yahoo finance home page home page for more.