Engineering teams are increasingly using large physics-based AI models to cut simulation times from weeks to minutes, enabling faster iterations in sectors like automotive and aerospace. Automakers ...

Alex Graham of SimScale dives into how machine learning and agentic AI can provide faster physics predictions, accelerating ...

AI models trained on the mathematics of physical systems are accelerating engineering design by approximating complex simulations in seconds, offering significant speed gains over traditional solvers.

The expanded collaboration combines agentic AI, physics-based simulation and digital twins to accelerate engineering across ...

Control engineering, mechatronics and robotics together form a unifying framework for designing, analysing and deploying intelligent electromechanical systems. Control engineering provides the ...

SimScale, an AI-native cloud engineering simulation platform, has partnered with AI Engineering GmbH to integrate the Pamics solver into its ecosystem, delivering groundbreaking advancements in fluid ...

This article explores key engineering strategies that support this transformation, including hybrid reactor design, clean-in-place optimization, automation architecture, and modular scalability.