How World Foundation Models Will Advance Physical AI With NVIDIA’s Ming-Yu Liu - Ep. 240

As AI continues to evolve rapidly, it is becoming more important to create models that can effectively simulate and predict outcomes in real-world environments. World foundation models are powerful neural networks that can simulate physical environments, enabling teams to enhance AI workflows and development. Ming-Yu Liu, vice president of research at NVIDIA and an IEEE Fellow, joined the NVIDIA AI Podcast to talk about world foundation models and how it will impact various industries. https://blogs.nvidia.com/blog/world-foundation-models-advance-physical-ai/ https://www.nvidia.com/cosmos/

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Explore how the latest technologies are shaping our world, from groundbreaking discoveries to transformative sustainability efforts. The NVIDIA AI Podcast shines a light on the stories and solutions behind the most innovative changes, helping to inspire and educate listeners. Every week, we’ll bring you another tale, another 30-minute interview, as we build a real-time oral history of AI that’s already garnered nearly 6.5 million listens and been acclaimed as one of the best AI and machine learning podcasts. Listen in and get inspired. More information: https://ai-podcast.nvidia.com/