Making artificial intelligence practical, productive, and accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, etc). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!
3D assets & simulation at NVIDIA
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