20 February 2025
7:00 PST | 10:00 EST | 16:00 CET
Why Now? Customers in different industries like high-tech and wireless, automotive and aerospace, are facing increasingly complex challenges to reduce the time to bring new products to market.
Many engineering simulation problems take thousands of hours to solve for complex designs. This limits the number of design iterations that can be explored. With the use of AI driven simulation customers can explore 1000s of designs quickly and accurately.
Traditionally, engineered products were designed with mechanical and electrical CAD tools, simulated and validated for correctness with CAE tools, prototypes were fabricated and tested, and products were then manufactured at scale in factories. Today, simulation tools solve multi-physics problems (fluid-structure-electromagnetics interactions) at scale using the most complex solvers.
In this talk we will explore the use of AI, Machine Learning and Deep Learning to accelerate these engineering simulations.