Mississippi State-Meridian MSN student Logan Stirewalt is fitted with eye-tracking glasses before a labor and delivery simulation at the university’s Interprofessional Simulation Center. Industrial ...

Engineering teams using AI create significantly more design variants, accelerating innovation and competitive advantage.

AI-driven operator learning models like Fourier Neural Operator and DeepONet are redefining simulation speed, producing results in seconds instead of hours. Coupled with automation tools such as ...

Rescale, a digital engineering platform that helps companies run complex simulations and calculations in the cloud, announced today that it has raised $115 million in Series D funding to accelerate ...

Imagine you're building an unmanned aerial vehicle (UAV), a cutting-edge electric vehicle or a self-driving car. Not long ago, this would’ve meant years of physical ...

AI-powered physics simulations are speeding up design cycles, cutting costs, and enabling more creative engineering solutions. By combining traditional multiphysics modeling with machine learning, ...

Physics simulations have a problem—engineers who need those simulations’ results often don’t have time to wait. Add in real-world settings with multiple independent calculations required (for example, ...

Semiconductor engineering teams have long relied on an iterative simulation workflow: define the scenario, prepare the model, ...

Hexagon’s Manufacturing Intelligence division has announced the release of ODYSSEE A-Eye, a new artificial intelligence (AI) tool that enhances Computer-Aided Engineering (CAE) for a multitude of ...

Accelerated PDE solving will make simulations faster, more energy efficient and more accessible across global industries ...