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

Опубликовано 29 апреля 2026, 16:00

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

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