SmartUQ

Use of artificial intelligence and machine learning algorithms in FEA increase predictive performance, speed up processing time.

Learn how to build and train artificial intelligence and machine learning models for engineering simulations.

In this webcast, learn how uncertainty quantification and machine learning can improve predictive modeling and optimize designs.

In this webinar, you will learn how to use a predictive model trained using machine learning to simplify and speed up the process of sensitivity analysis for your simulation models.

This webinar will provide an introduction to the basics of statistical calibration. Through the use of several example problems, the underpinning ideas and benefits of statistical calibration will be illustrated. This includes the unique ability of statistical calibration, as compared...

Simulation needs test-based validation to be credible.

A variety of industry tools and platforms aim to streamline workflows to accommodate more advanced analysis and to promote design optimization.

This webinar will focus on strategies for handling three classes of CAE modeling challenges: 1) insufficient or inadequate sampling of a design space, 2) high computational expense of simulations and 3) disagreement of simulation models with physical tests. Discover how statistical methods can...

The vision of the ASSESS Initiative is to bring together key players, users and developers of simulation software, to guide and influence software tool strategies for performing model-based analysis, simulation and systems engineering.