The new framework sidesteps costly and risky real-world rollouts by generating synthetic training data, making powerful ...

Cardiology training today exists in a paradox. As the specialty becomes more complex, particularly in procedural domains, the ...

Five federally funded AI institutes provide a backbone for agriculture-focused AI research. The grand challenge facing global agriculture today is the need to increase food production to feed a ...

Generative AI has emerged as a transformative technology in robotics, offering powerful capabilities for synthesizing data that supports learning, planning, ...

Energy systems are incredibly complex, incorporating a dizzying array of power generators, distribution technologies and ...

Turning materials like wood chips, crop residues and municipal solid waste into fuels and chemicals is important for our ...

Version 6.4 of COMSOL Multiphysics (R) introduces NVIDIA GPU acceleration for direct solvers and extends multi-GPU capabilities for acoustics simulations. This update marks a major step forward in ...

The first of the two systems focuses on AI for science and will deploy 1,600 NVIDIA Blackwell GPUs using the GB200 NVL4 platform. All components are connected through NVIDIA’s high-bandwidth ...

Built on Microsoft Azure's cloud and edge infrastructure, the integration uses Azure Kubernetes Service for orchestration, Azure Entra ID for secure access, Azure Edge Runtime for near-real-time ...

Is it reasonable to develop and deploy AI agents without a continuous testing strategy? Consider these test-driven approaches ...

Horizon, the largest U.S. open-science supercomputer arriving in 2026, is being designed around the Characteristic Science ...

At this week’s Supercomputing 25 conference in St. Louis, Nvidia announced that more than 80 new science-oriented systems ...