Nvidia CEO Jensen Huang shared a bold vision for the future of artificial intelligence (AI) innovation, suggesting that the next great frontier in computing will not just be on your screen, but in the physical world around us. Speaking with Adobe CEO Shantanu Narayan during a keynote at the recent Adobe Summit, Huang discussed how NVIDIA is pivoting toward “physical AI,” technology that allows computers to understand and interact with the tangible world.When Narain asked what excites the Nvidia founder about what’s happening with physical AI innovation and robotics, Huang said that while AI has mastered digital data, the largest industries are still largely physical, and to revolutionize these fields, computers must first learn the laws of the physical world.“So much of the world is physical, and if you want to apply computing for the first time to some of the world’s biggest industries, whether it’s life sciences or logistics or manufacturing or transportation, if computers can’t understand the physical world, there’s no chance to enhance it, there’s no chance to automate it again,” Narayan said.
“We need a digital twin.”
“Many of us in this room are producing products, we are marketing those products, but those products are very specific, and the products have to be precise…The brand identity has to be precise…The design has to be precise. This is not an approximate representation of the product, and many of the things we do require a perfect digital twin. That starting point is non-negotiable,” Huang explained.“We need high fidelity, authenticity in 3D graphics, the most accurate representation, the digital representation of the artifact,” he added. “It could be a car, it could be a perfume bottle, it could be a person…whatever it is. From there, you can integrate it with generative AI and express your creativity through it,” Huang said, emphasizing that these “digital twins” act as a bridge, allowing generative AI to interact with the real world.
why is it important
By creating these accurate 3D models, companies can also test robots in virtual space before putting them on the factory floor, simulate transportation systems to find efficiencies that avoid real-world risks, and use digital artifacts as a canvas for new designs to blend creativity and AI.
