As AI continues to evolve rapidly, it is becoming more important to create models that can effectively simulate and predict outcomes in real-world environments. World foundation models are powerful neural networks that can simulate physical environments, enabling teams to enhance AI workflows and development. Ming-Yu Liu, vice president of research at NVIDIA ... Show More
Oct 8
How CytoReason is Bridging the Data Insight Gap to Accelerate Healthcare Breakthroughs - Ep. 275
Shai Shen-Orr, co-founder and chief scientist at CytoReason and professor at the Technion, talks about the next frontier in healthcare: disease modeling. Shai shares how CytoReason bridges the gap between exploding biological data and actionable insight, powering smarter, faster ... Show More
35m 12s
Sep 17
Bringing Robots to Life with AI: The Three Computer Revolution - Ep. 274
Yashraj Narang, head of NVIDIA's Seattle Robotics Lab, reveals how the three computer solution—DGX for training, Omniverse and Cosmos for simulation, and Jetson AGX for real-time inference—is transforming modern robotics. From sim-to-real breakthroughs to humanoid intelligence, d ... Show More
52m 17s
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
18m 14s
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
This episode is sponsored by Netsuite by Oracle, the number one cloud financial system, streamlining accounting, financial management, inventory, HR, and more. NetSuite is offering a one-of-a-kind flexible financing program. Head to https://netsuite.com/EYEONAI to know more. ... Show More
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
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
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