Nvidia
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How Dassault Systèmes Is Building AI That Understands Physics | NVIDIA AI Podcast Ep. 296
Posted
April 29, 2026
Views
5,409
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135
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2.63%
April 29, 2026
5,409
135
7
2.63%
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23:05Now PlayingGenerative 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
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