Agent studio: A multi-agent system for systems engineering

This blog post shows a proof-of-concept implementation about a multi-agent system powered with large language model to enhance systems engineering workflow.

A Simcenter personal consultant realized with Generative AI

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?

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

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

Lisa’s journey: Embracing Simcenter Amesim Recommender as a new simulation engineer

Explore the benefits that engineers can enjoy by using Simcenter Amesim Recommeder. In this blog, we will track the progress of a new Simcenter Amesim User.

The potential impact of Large Language Models (LLMs) on Computer Aided Engineering

Humans are lazy. Large Language Models (LLMs) – what are they and how will they help make our lives even easier?!