Machine Learning

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A Simcenter personal consultant realized with Generative AI

April 18, 2024

You could do it all yourself, and it’s not as if you haven’t been doing so for many years. Trawling through user documentation, installation guides, knowledge-based articles, all in an attempt to find the answer to a specific question you have in mind. Using a simple text Search feature might take you to a relevant pdf document, the rest though is up to you. Tiresome, manually intensive and rarely pleasurable. What if you could just call on a Personal Consultant, a Digital Helper, to answer your question directly?

By Maria Bonner and Robin Bornoff
7 MIN READ

Imagine a world without toolbars or menus

April 18, 2024

Generative AI will revolutionize how a user interacts with CAE software. An interactive conversational approach with an embedded Personal Assistant may well remove the need for Toolbars and Menus in the future.

By Robin Bornoff and Kai Liu
6 MIN READ

Computer Aided Engineering in the Industrial Metaverse – Part 2

December 1, 2023

The Industrial Metaverse (IM) is a virtual world in which one can interact with the digital twin. From a Computer…

By Robin Bornoff and Gabor Schulz
4 MIN READ
Illustration of an engineer of East Asian descent at a workstation engaged in generative AI design on floating digital screens, with a detailed physical model of a drone with exposed circuitry and mechanical parts on the desk beside them. The model reflects the generative AI's output, showcasing the practical application of the AI's computations in real-world engineering.

Generative engineering and the role of simulation

November 10, 2023

The community is abuzz with talk about Generative AI tools, but how can we exploit generative engineering to advance our productivity?

By Robin Bornoff and Dirk Hartmann
9 MIN READ
The transformative power of fusing Machine Learning and physics-based simulation in CAE tools - Oil painting by DALL-E

Beyond traditional engineering simulations: How Machine Learning is pioneering change in engineering

October 10, 2023

Machine Learning technologies are not just incremental enhancements; they hold the promise to revolutionize our understanding and application of simulation in engineering.

By Daniel Berger, Justin Hodges and Dirk Hartmann
7 MIN READ