Among his most significant projects are initiatives to enhance physics simulation, rendering, and synthetic data generation to support complex robotics applications.

There are also six new humanoid robot learning workflows for Project GR00T, to enable AI robot brain development, and new developer tools for video processing.

A robot trained on 100 percent synthetic data can climb stairs, clamber over boxes, and chase a soccer ball in the real world.

The goal of the project is to use a super computer to simulate a complete human brain, something that will not only aid in the treatment of a variety of ailments, but will also be used to help ...

Eureka: With GPT-4 overseeing training, robots can learn much faster GPU-based physics simulator speeds up reality by "1,000x" while GPT-4 calls the shots.

The blueprint for safer, more resilient automation and smarter operations has been orbiting 250 miles above us all along.

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