How Dassault Systèmes Is Building AI That Understands Physics | NVIDIA AI Podcast Ep. 296

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. 🔬Topics covered: What makes industrial world models different from LLMs Virtual companions as AI coworkers—augmenting, not replacing engineers IPLM: how Dassault tracks every AI interaction for auditability Hybrid AI model strategy: NIMs, Nemotron, Mistral, + custom fine-tuning The future: always-on agents that continuously optimize your factory Chapters: 00:00 Introduction & Dassault Systèmes Overview 03:22 Industry World Models Explained 07:28 Meet the Virtual Companions: Aura, Leo & Marie 09:58 Trust, Traceability & the NVIDIA Partnership 14:04 Hybrid AI Strategy & Real-World Use Cases 20:43 The Future: Always-On Autonomous Agents 22:05 Where to Learn More & Closing Learn more: https://blog.3ds.com/topics/company-news/industrial-ai-with-virtual-twins/