[Market Trends] The Next Wave of AI: Physical AI | NVIDIA

                                      




πŸ“Œ From Code to Robots: The Rise of Physical AI

The video discusses the evolution of artificial intelligence (AI), starting from Software 1.0 (traditional coding) to Software 2.0 (machine learning neural networks). This progression has led to the rise of generative AI, significantly impacting numerous industries. The focus now is on “Physical AI,” which integrates AI with physical robotics, such as self-driving cars, industrial robots, and humanoid robots that assist in various tasks. NVIDIA’s technology plays a crucial role in this development. They use a series of systems, including DGX for training models, Omniverse for simulation using physics-based reinforcement learning, and Jetson AGX computers for implementation. Omniverse provides a platform for digital twins of factories, enabling robots to simulate, perceive, and execute tasks in a virtual environment before being deployed in the real world. This approach aims to reduce risk and cost for industrial enterprises by optimizing physical operations using AI.

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