Dyad AI from JuliaHub is bringing an AI-for-Science environment to product development. Users can model and interrogate ...

Fainite is developing a physics-aware AI platform to accelerate simulation workflows, reduce engineering complexity and ...

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 ...

BeyondMath has secured new funding to expand its generative physics AI model, aiming to help engineering teams run faster, ...

A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account the laws of physics—using Newton's third law. Their research is published ...

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 ...

Vinci announced the availability of its second core physics capability: thermo-mechanical simulation that predicts “warpage” in hardware designs.

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 ...

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 ...

Changes in rainfall within global monsoon regions affect the livelihoods of billions. For years, climate models have ...