Achieving high reliability in AI systems—such as autonomous vehicles that stay on course even in snowstorms or medical AI ...

Scientists at the Department of Energy's Oak Ridge National Laboratory have created a new method that more than doubles computer processing speeds while using 75% less memory to analyze plant imaging ...

Across the physical world, many intricate structures form via symmetry breaking. When a system with inherent symmetry ...

Our best models of the cosmos don't add up — but that could change if the universe is actually made of a viscous 'fluid,' a new paper suggests.

Kimi has a standard mode and a Thinking mode that offers higher output quality. Additionally, a capability called K2.5 Agent ...

Move over, Claude: Moonshot's new AI model lets you vibe-code from a single video upload ...

The demands of large-scale combat operations are clear: our warfighters require reliable and timely sustainment support to ...

Michael Skinnider and his team have developed DeepMet, a large language model–guided program that can assign a structure to an unknown peak on a mass spectrometry graph ( Nature 2026, DOI: ...

Introduction Every warfighting function depends on logistics, but sustainment has always faced a time-distance problem.

AI readiness is earned through disciplined data foundations. Advanced modeling, digital twins, and AI-driven decision-making only deliver value when built on accurate, live, and geographically ...