A physicist has mounted one of the most detailed technical challenges yet against the idea that our universe is a computer ...

Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving ...

Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving models while retaining their accuracy. The approach retains physics-based ...

Deep learning is increasingly being used to emulate cloud and convection processes in climate models, offering a faster alternative to computationally intensive cloud-resolving simulations. However, ...

For decades, simulation has been the cornerstone of scientific discovery and hardware design. But despite the advances we’ve made in computing power and tooling, the way we run simulations hasn’t ...

Luminary is rethinking physics simulation workflows spanning GPU clusters from the ground up. The new company hopes the new architecture and business model will impact the simulation industry as much ...

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 ...

Learn how to model a mass-spring system using Python in this step-by-step tutorial! 🐍📊 Explore how to simulate oscillations, visualize motion, and analyze energy in a spring-mass system with code ...

Google's Project Genie may prove that world models matter more than LLMs for defense. The military that masters physics simulation first gains decisive advantage.

But as the chip maker seeks to parlay its semiconductor dominance into control of the full stack, vendor lock-in is a major risk, says one analyst. Nvidia hopes that its new open-source AI model for ...