Helping design and engineering professionals discover, evaluate and specify technologies and processes that shorten the design cycle and enable success.
Alert!
Digital Engineering ceased publication on July 1, 2026. This website remains available as an archive of engineering content.
For inquiries or information, please email [email protected].
August 8, 2025 · For this article, we speak to the specialists who work in the domain of uncertainty quantification, or UQ.
February 4, 2025 · Experts discuss tips and dilemmas in developing data-driven ROMs (reduced order models).
December 10, 2024 · Algorithm training with proprietary data and natural language support is transforming simulation.
September 17, 2024 · Simulation experts discuss safeguards in using synthetic datafor autonomous vehicle training.
July 9, 2024 · In this webinar, learn how machine learning can help engineers bypass the need to run full-scale simulations, and see a live demo that includes setting up machine learning models, conducting sensitivity analysis, and model optimization with SmartUQ.
December 13, 2022 · Use of artificial intelligence and machine learning algorithms in FEA increase predictive performance, speed up processing time.
October 7, 2022 · Learn how to build and train artificial intelligence and machine learning models for engineering simulations.
August 19, 2022 · In this webcast, learn how uncertainty quantification and machine learning can improve predictive modeling and optimize designs.
April 25, 2022 · 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.
August 13, 2021 · 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 to alternative calibration approaches, to account for model form uncertainty in addition to parameter uncertainty.
June 21, 2021 · Simulation needs test-based validation to be credible.
November 1, 2018 · A variety of industry tools and platforms aim to streamline workflows to accommodate more advanced analysis and to promote design optimization.
July 18, 2018 · 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 help increase early design phase efficiency, decrease the number of costly physical tests required to validate or calibrate CAE models, and reduce risks while increasing confidence in simulation models.
January 19, 2018 ·
November 2, 2017 · 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.
Digital Engineering June 2026
In the latest issue of Digital Engineering, we focus on automotive design innovations, including light and sound simulation, additive manufacturing applications. Our editors head to NVIDIA GTC and RAPID+TCT, and we investigate whether you can…
May 2026 Special Focus: Artificial Intelligence in Design and Simulation
In this Special Focus Issue, learn about the latest developments in the integration of artificial intelligence into engineering workflows.
About Us · Contact Us · Editorial Team · Advertising · Privacy Policy · Subscriber Services · © 2026 Digital Engineering 24/7 · Peerless Media