How Dassault Systèmes Is Building AI That Understands Physics - Ep. 296

How Dassault Systèmes Is Building AI That Understands Physics - Ep. 296

Author: NVIDIA April 29, 2026 Duration: 23:04
Generative AI can predict whether a plane takes off—but does it know why? Nicolas Cerisier, VP of 3DEXPERIENCE Platform R&D at Dassault Systèmes, explains how industrial world models go beyond pattern recognition to embed the actual laws of physics, chemistry, and engineering. In this episode of the NVIDIA AI Podcast, he also breaks down Dassault's three virtual companions (AURA, LEO, and MARIE), their 25-year collaboration with NVIDIA, and a stunning real-world use case: helping NIAR rebuild aircraft designs part by part, using AI.

Behind every major shift in how we live and work, there's a story about the technology that made it possible. The NVIDIA AI Podcast, produced by NVIDIA, delves into those narratives, moving beyond headlines to explore the human and technical ingenuity driving progress. Each episode connects with creators, researchers, and pioneers who are applying artificial intelligence and accelerated computing in surprising ways. You'll hear conversations that unpack complex ideas, from how AI is accelerating scientific discovery in medicine and climate science to its role in reimagining creative industries and building more sustainable systems. This isn't about abstract futures; it's a grounded look at the tools and collaborations solving real-world problems today. The discussions are crafted to be accessible, offering clarity on transformative topics without oversimplifying the profound work being done. Tuning into this podcast provides a unique vantage point into the ecosystem of innovation, where the focus is on practical applications and the thinkers turning possibility into reality. It's an ongoing series for anyone curious about the mechanics of change and how computational power is being harnessed to tackle some of our most pressing challenges and unlock new opportunities across every field.
Author: Language: English Episodes: 100

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