30 Jul 2026
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Mike Boland
AWE Talks: Can Nvidia Unlock Physical AI?
AWE USA 2026
Welcome back to AWE Talks, our series that revisits the best AWE conference sessions. With AWE USA recently concluded, there's a fresh batch of stage footage to keep us occupied for weeks.
We continue this latest season of AWE Talks with a tech giant's efforts to set the table for AI's next era. How will Nvidia unlock physical AI and what role will spatial computing play? We hear straight from the source.
See the summarized takeaways below, along with the full session video. Stay tuned for more video highlights each week and check out the full library of conference sessions on AWE's YouTube Channel.
Speaker
David Chu, VP, Spatial Computing and XR, NVIDIA
Key Takeaways & Analysis
- Physical AI is becoming the holy grail of the already-momentous AI movement
- This breaks free of web-based intelligence where most of AI has been locked up.
- By unleashing AI on the physical world, value creation will expand infinitely.
- XR could be a key piece of the physical-AI puzzle because it engenders spatial data.
- XR's geometric and semantic scene data is a key ingredient for physical AI.
- That means eye-level spatial data collection will be a key physical-AI enabler.
- Intelligent data and agentic automation can reciprocally power XR experiences.
- There are several use cases this will elevate, but Nvidia is focused on three.
- Decide with Digital Twins empowers agents to intelligently support workflows.
- Use cases include remote assistance, design collaboration, and enterprise field work.
- Equip Hands-on Teams likewise automates line-of-sight intelligence for productivity
- Use cases include high-stakes lab work, where technicians can be intelligently guided.
- Train Robots in Reality utilizes spatial data to engender intelligent robotics
- Use cases include next-level industrial automation and optimizing human capital.
- Altogether, Nvidia is investing big at the intersection of AI and XR.
- It's also partnering to gain positioning, such as collaborations with VITURE and others.
- Expect more from Nvidia as it deploys its well-resourced ambitions in physical AI.
For more context and color, watch the full session below.
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