3D assets & simulation at NVIDIA

Practical AI: Machine Learning, Data Science

What’s the current reality and practical implications of using 3D environments for simulation and synthetic data creation? In this episode, we cut right through the hype of the Metaverse, Multiverse, Omniverse, and all the “verses” to understand how 3D assets and tooling are actually helping AI developers develop industrial robots, autonomous vehicles, and more. Beau Perschall is at the center of these innovations in his work with NVIDIA, and there is no one better to help us explore the topic!

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Featuring:

• Beau Perschall – Twitter, LinkedIn
• Chris Benson – Twitter, GitHub, LinkedIn, Website
• Daniel Whitenack – Twitter, GitHub, Website

Show Notes:

• NVIDIA’s Omniverse
• Beau’s GTC 2023 session around how to build simulation-ready USD 3D assets
• Tech blog around Omniverse and SimReady assets

Something missing or broken? PRs welcome!

Timestamps:

(00:00) - Welcome to Practical AI
(00:42) - Beau Perschall
(05:30) - Omniverse 101
(10:27) - What can you do in the omniverse?
(13:26) - Will Omniverse be unique for everyone?
(20:13) - Will Omniverse have good 3D?
(26:39) - Omniverse in context
(30:43) - Synthetic data
(35:31) - Nvidia's plan for low internet areas
(38:44) - What keeps you up at night?
(41:11) - Wrap up
(41:46) - Outro