The partnership combines GPU-native physics simulation with cloud scalability, allowing engineers to run massive, high-fidelity simulations and generate the data needed to train Physics AI models.

MUNICH--(BUSINESS WIRE)--SimScale GmbH announced today the worlds’ first fully integrated and cloud-native A.I. based physics predictions coming to its simulation software. SimScale has partnered with ...

Physicists have spent decades arguing over whether our universe is a fundamental reality or a kind of cosmic software, and ...

Computer scientists at the University of California San Diego have developed a method for generating highly realistic computer-generated images of fluid dynamics in elements such as smoke. This ...

Join the audience for a live webinar at 3 p.m. GMT/10 a.m. EST on 21 January 2026 Discover the role of impedance analysis in advancing battery-model development ...

Augmented Physics: This web-based tool uses machine learning to create interactive physics simulations from textbook diagrams. By semi-automatically extracting content, users can embed dynamic, ...

PhysicsX’s LGM-Aero AI-based analysis tool predicts performance of new shapes. Credit: PhysicsX Numerical simulation has become an essential part of aircraft design, from aerodynamics and structures ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Nvidia is showing off a number of advancements in rendering, simulation ...

Neural Concept aims to accelerate these timelines by integrating AI directly into CAD and physics-based simulation ...

The demand for immersive, realistic graphics in mobile gaming and AR or VR is pushing the limits of mobile hardware. Achieving lifelike simulations of fluids, cloth, and other materials historically ...