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PhysicsAI-The Convergence of Geometric Deep Learning and CAE

PhysicsAI-The Convergence of Geometric Deep Learning and CAE

Accelerate your design cycles using state of the art geometric deep learning, available to you directly in the modelling environment. PhysicsAI harvests the power of your CAE data by learning relationships between geometrical shape and full contour results, letting you make lightning-fast design iterations and arrive at better designs, faster. Unlike traditional machine learning, physicsAI learns directly from the geometry without the need for parameterization. This means you can learn from any of your previous simulations without the need for design of experiments. This presentation is an introduction to physicsAI in HyperMesh, showcasing example problems and offers a sneak peak of upcoming features.

Presented by Dr. Jonathan Ollar I Product Manager, EDS Products I Altair, at the ATCx AI for Engineers in July 2023, 16 mins

The presentation is in English by default. The following languages are available by clicking on Audio Description ('AD') on the video screen: CN, KR, JP, ES, and PT.

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