NVIDIA AI Podcast
How Dassault Systèmes Is Building AI That Understands Physics - Ep. 296
April 29, 202623 min · 3,083 words
Show notes
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.
Highlighted moments
we enforce the lineage, auditability, traceability of all the interaction of AI. So, we are able to know that your content has been modified through which workflow, using which, what kind of models, et cetera, et cetera.
“here, you give Leo a 3D scan or a 2D drawing or a mesh of a part. He will activate the industry world model for design, orchestrate the AI model and the modeling and simulation solvers.”
“they recreate the virtual twin of existing aircraft. It means that they are creating thousands of parts without access to the original design. So basically, they disassemble the aircraft and recreate virtually, piece by piece.”
Transcript
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