Industrial simulation and emulation are powerful but still underemployed techniques for designing, developing, and testing better automation solutions and machines. When used as a central part of a ...

At Simulation World Detroit, executives shared their views on the early integration of AI, data, models, and simulations to ...

Purpose-built digital twin enables hospital leaders to simulate scenarios and optimize capacity, staffing, and workflows for better outcomes.

Scientists at the University of Sharjah have developed an advanced digital twin technology designed to replicate renewable ...

Digital models are used in a variety of applications and development workflows. They can vary in degree in how they match a physical device. Models can be used as a digital twin (see figure) or in ...

Around the mahogany tables of corporate boardrooms and the plywood workbenches of garage-based startups, one topic has threatened to monopolize business discussions for years: digital transformation.

Application simulation reduces risk, produces measurable ROI, and places continual learning at the very forefront of the work ...

A higher form of simulation, digital twins collect data to create accurate simulations that display the operation, potential failures, and possible future maintenance issues in manufacturing equipment ...

The semiconductor industry has greatly simplified analysis by consolidating around a small number of models and abstractions, but that capability is breaking down both at the implementation level and ...

The distinct advantage of digital twins is their ability to collect and analyze authentic real-time data from an asset’s continual operation across its lifecycle. Digital twins are increasingly being ...