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 ...

Advancements in 3D Animation and Visualization Enhanced Graphical Realism with NVIDIA Omniverse Integration It’s getting ...

Advancements in Immersive Technologies and XR Integration This year’s Winter Simulation Conference really highlighted how far ...

Research, development, and production of novel materials depend heavily on the availability of fast and at the same time accurate simulation methods. Machine learning, in which artificial intelligence ...

Simformotion, a maker of heavy equipment simulator training solutions, has released the new Cat Simulators Small Dozer system. Set in a construction environment, the hands-on training system teaches ...

Automakers desire solutions that can easily scale to new applications of next generation vehicles. Electrified propulsion technology is one main area where EV engineers are pushing the boundaries.

At Carleton University, researchers are addressing a growing demand for advanced systems that enable learners to practice ...

CGSchNet, a fast machine-learned model, simulates proteins with high accuracy, enabling drug discovery and protein engineering for cancer treatment. Operating significantly faster than traditional all ...

A team led by Egbert Zojer from the Institute of Solid State Physics at Graz University of Technology (TU Graz) has now significantly improved these simulations using machine learning, which greatly ...