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

SeaCast is an innovative high-resolution forecasting system for the Mediterranean that harnesses AI to deliver faster 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 ...

A Rensselaer Polytechnic Institute (RPI) engineering professor, Shaowu Pan, Ph.D. and his team of students have integrated ...

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.

Using the Frontier supercomputer at the Department of Energy's Oak Ridge National Laboratory, researchers from the Georgia Institute of Technology have performed the largest direct numerical ...

Read more about How cities can build stronger food systems through smarter urban agriculture policy on Devdiscourse ...

Very simplified toy models help scientists get started, but the real world is far more complex.

AI agents can handle physics-based modeling complexity while engineers focus on design judgment and tradeoffs.

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, ...

Physical AI refers to intelligent systems that can sense, reason, and act inside the physical world. These systems do not remain limited to screens, servers, or digital spaces. Instead, they operate ...

Cosmos Policy is a new robot control policy that post-trains the Cosmos Predict-2 world foundation model for manipulation tasks.