Open models and the future of Physical AI with NVIDIA
2026-10-01 · 47 min · episode 374 · 10 entities
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Feed author/publisher: Daniel Whitenack and Chris Benson
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Feed author/publisher: Practical AI LLC
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Link in episode "Open models and the future of Physical AI with NVIDIA": https://midwestaisummit.com/
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NVIDIA
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Feed author/publisher: Daniel Whitenack and Chris Benson
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Feed author/publisher: Daniel Whitenack and Chris Benson
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Link in episode "Open models and the future of Physical AI with NVIDIA": https://midwestaisummit.com/
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Link in episode "Open models and the future of Physical AI with NVIDIA": https://midwestaisummit.com/
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the future of Physical AI with NVIDIA
Episode description as stored
As AI moves beyond the cloud and into robots, vehicles, and other physical systems, new approaches to models, simulation, and inference are emerging. Daniel and Chris are joined by Ming-Yu Liu, Vice President of Cosmos Lab at NVIDIA, who shares his perspective on open models, world models, and the future of physical AI. They explore why open models matter for innovation, how world models can help AI understand and simulate the physical world, and what it could take to build increasingly capable physical AI systems.
Featuring:
Ming-Yu Liu – LinkedIn
Daniel Whitenack – Website , GitHub , X
Chris Benson – Website , LinkedIn , Bluesky , GitHub , X
Links:
NVIDIA Cosmos
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