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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

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

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.

Simcenter in the Metaverse

Computer Aided Engineering in the Industrial Metaverse – Part 1

The Metaverse, as a concept, means different things to many people. Unsurprising as the Metaverse is in the process of…

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?!

Engineering simulation part 3 – Modelling

‘Everything should be made as simple as possible, but not simpler’ Albert Einstein (possibly apocryphal) Whether Einstein said this or…

Engineering simulation part 2 – Productivity, Personas and Processes

Engineering simulation continues to grow as engineers realize the productivity increase it could offer. Read this blog to learn more about the personas and processes involved in adopting simulation.

Engineering simulation part 1 – All models are wrong

Engineering simulation models intend to represent reality to the extent where some useful insight might be garnered. However, according to George Box,, “all models are wrong”. So how can they be useful?

Speedy simulations: From Moore’s Law to more efficient algorithms

Current technical developments in the context of predictive algorithms and how the algorithms are outpacing Moore’s law. Leveraging this development we can expect simulation tools to be on a level of capability we cannot imagine today.