NVIDIA2.17 млн
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Опубликовано 28 апреля 2026, 21:02
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
03:42 Industry World Models Explained
07:45 Meet the Virtual Companions: Aura, Leo & Marie
09:27 Trust, Traceability & the NVIDIA Partnership
16:06 Hybrid AI Strategy & Real-World Use Cases
23:03 The Future: Always-On Autonomous Agents
26:27 Where to Learn More & Closing
🔬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
03:42 Industry World Models Explained
07:45 Meet the Virtual Companions: Aura, Leo & Marie
09:27 Trust, Traceability & the NVIDIA Partnership
16:06 Hybrid AI Strategy & Real-World Use Cases
23:03 The Future: Always-On Autonomous Agents
26:27 Where to Learn More & Closing
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