Part 4/5:
Finally, Huang introduced the concept of "Physical AI," which aims to bridge the gap between the digital and physical worlds. This involves the integration of AI models with robotic systems, enabled by Nvidia's three key computing platforms: the DGX for AI training, the Omniverse for simulation and digital twin creation, and the Jetson AGX for deploying AI in the real world.
The Omniverse, a physics-based simulation environment, allows robots to learn and fine-tune their skills before being deployed in the physical world. This approach, known as "software-in-the-loop testing," enables Industrial enterprises to simulate and validate changes in a digital twin before implementing them in the real world, reducing risk and cost.
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