logo
episode-header-image
Jan 2025
20m 31s

How World Foundation Models Will Advance...

Nvidia
About this episode
tail spinning
Up next
Jan 21
From Warehouses to Robot Shoppers: Jason Goldberg Talks Retail’s AI Makeover - Ep. 286
Jason “Retailgeek” Goldberg, Chief Commerce Strategy Officer at Publicis Groupe, discusses how AI is optimizes retail operations and is rewriting the consumer shopping experience. Learn why AI acceleration is able to reimagine the retail pipeline — from supply chain to personaliz ... Show More
49m 52s
Jan 14
Safer, Smarter Construction Sites with Edge AI and Caterpillar Autonomous Machines - Ep. 285
Brandon Hootman, Vice President of Data and Artificial Intelligence at Caterpillar, joins the AI Podcast to discuss how the company uses NVIDIA’s AI Factory, Omniverse digital twins, and edge AI to streamline manufacturing, improve safety, and bring AI copilots into heavy equipme ... Show More
39m 39s
Dec 29
Lowering the Cost of Intelligence With NVIDIA's Ian Buck - Ep. 284
Discover how mixture‑of‑experts (MoE) architecture is enabling smarter AI models without a proportional increase in the required compute and cost. Using vivid analogies and real-world examples, NVIDIA’s Ian Buck breaks down MoE models, their hidden complexities, and why extreme c ... Show More
38m 15s
Recommended Episodes
Dec 2024
How AI robots learn just like babies — but a million times faster w/ NVIDIA’s Rev Lebaredian
Computers have been outperforming humans for years on tasks like solving complex equations or analyzing data, but when it comes to the physical world, robots struggle to keep up. It can take years to train robots to function in the messy chaos of the “real world” — but thanks to ... Show More
53m 27s
Aug 2024
AI that connects the digital and physical worlds | Anima Anandkumar
While language models may help generate new ideas, they cannot attack the hard part of science, which is simulating the necessary physics," says AI professor Anima Anandkumar. She explains how her team developed neural operators — AI trained on the finest details of the real worl ... Show More
12m 14s
Nov 2024
The Future of AI: Predictions and Realities
In this episode, Jaeden Schafer discusses the current challenges and developments in the AI industry, particularly focusing on the limitations faced by major players like OpenAI and Anthropic. The conversation explores the anticipated improvements in AI models, the predictions fo ... Show More
19m 52s
Dec 2024
The TED AI Show: How AI robots learn just like babies — but a million times faster w/ NVIDIA’s Rev Lebaredian
Computers have been outperforming humans for years on tasks like solving complex equations or analyzing data, but when it comes to the physical world, robots struggle to keep up. It can take years to train robots to function in the messy chaos of the “real world” — but thanks to ... Show More
53m 27s
Jan 2025
#229 Mitesh Agrawal: Why Lambda Labs' AI Cloud Is a Game-Changer for Developers
tail spinning
56m 7s
Nov 2024
NVIDIA's Jensen Huang on AI Chip Design, Scaling Data Centers, and his 10-Year Bets
In this week’s episode of No Priors, Sarah and Elad sit down with Jensen Huang, CEO of NVIDIA, for the second time to reflect on the company’s extraordinary growth over the past year. Jensen discusses AI’s takeover of datacenters and NVIDIA’s rapid development of x.AI’s superclus ... Show More
36m 53s
Aug 2023
Cuttlefish Model Tuning
<p>Hongyi Wang, a Senior Researcher at the Machine Learning Department at Carnegie Mellon University, joins us. His research is in the intersection of systems and machine learning. He discussed his research paper, Cuttlefish: Low-Rank Model Training without All the Tuning, on tod ... Show More
27m 8s
Oct 2
When Will AI Make Scientific Discoveries?
Today’s AI Daily Brief asks when artificial intelligence will begin making real scientific discoveries. We look at Periodic Labs, which just raised more than $300 million to build AI scientists and autonomous labs for physics and chemistry, and Thinking Machines, which is creatin ... Show More
24m 25s
Mar 2025
How AI is saving billions of years of human research time | Max Jaderberg
Can AI compress the years long research time of a PhD into seconds? Research scientist Max Jaderberg explores how “AI analogs” simulate real-world lab work with staggering speed and scale, unlocking new insights on protein folding and drug discovery. Drawing on his experience wor ... Show More
19m 15s
Feb 2025
π0: A Foundation Model for Robotics with Sergey Levine - #719
Today, we're joined by Sergey Levine, associate professor at UC Berkeley and co-founder of Physical Intelligence, to discuss π0 (pi-zero), a general-purpose robotic foundation model. We dig into the model architecture, which pairs a vision language model (VLM) with a diffusion-ba ... Show More
52m 30s