New integration enables engineers to solve complex fluid dynamics problems 10-20x faster, transforming simulation into a scalable source of synthetic data for Engineering AI and Digital Twins.

One particularly well-known fact about the moon is that it doesn't have much of a magnetosphere to speak of. There's no blanket to protect it from the solar wind ravaging its surface, blowing away its ...

MIT researchers have developed a generative artificial intelligence-driven approach for planning long-term visual tasks, like ...

Andi Eigenmann is beaming with pride as she expressed her support to her eldest daughter Ellie, who is among the delegates at ...

Nebius (NASDAQ: NBIS), the AI cloud company, today announced it is collaborating with NVIDIA to accelerate physical AI development with an end-to-end platform purpose-built for the full robotics ...

A new study shows how humans moved across the landscapes of ancient Greece, shaped by slope, visibility, and rugged terrain.

What governs the speed at which raindrops fall, sediment settles in river estuaries, and matter is ejected during a supernova? These questions circle around one, deceitfully simple factor: the rate at ...

Researchers have identified a potential mechanism that explains how turbulent plasma can produce the vast, ordered magnetic fields observed across the universe Cosmic magnetic fields are everywhere, ...

The new architecture shows how quantum processors could work alongside classical HPC, creating hybrid environments to tackle ...

DOE will switch on its next major supercomputer, Doudna, at NERSC. It is built in collaboration w/ Dell Technologies & NVIDIA ...

Located at CeSViMa in Madrid, the Magerit high-performance computing system allows scientists to run complex simulations across aerospace and environmental research.

Facing strict privacy laws, telcos use AI-generated synthetic data as a compliant workaround to train ML models without exposing sensitive customer information.