FREE WEBINAR MARCH 14: Can AI Cut Down Simulation Time and Cost?

DATE: March 14, 2024
TIME: 11:00 AM EDT/ 8:00 AM PST/ 5:00 PM CET

Physics-based solvers like Finite Element Analysis (FEA) are accurate time-test technologies. However, they also demand significant computing time and cost, limiting the number of simulations engineers can do. Therefore, many have now begun exploring the use of predictive AI methods to speed up simulation.

Join us on this webinar to learn:

• how engineers are using the latest predictive AI methods, including how physics informed machine learning approaches reduce data training requirements and enable predictive extrapolation.
• how predictive AI methods transformed time-consuming Computational Fluid Dynamics (CFD) simulations into fast-running and accurate generalized surrogate models, thereby enabling product design exploration and optimization.
• how some industry leaders are shepherding the development of predictive AI with a consortium.

You can register for the webinar here.

Sponsored By:

Speakers:

Dr. Juan F. Betts, CEO, PredictiveIQ™

Prof. George Em Karniadakis, Professor, Brown University & MIT

Moderator: Kenneth Wong, Senior Editor, Digital Engineering