If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is the fix. Let’s be honest: our data systems are struggling to keep up with AI ...

The White House said talks in Geneva with Kyiv marked "meaningful progress" toward ending the war in Ukraine and led to an "updated and refined" framework that would "fully uphold" the war-torn ...

A new open-access tool created by University of Toronto Engineering researchers provides a systematic way to organize and synthesize knowledge about metal–organic frameworks (MOFs)—a class of ...

Flaws replicated from Meta’s Llama Stack to Nvidia TensorRT-LLM, vLLM, SGLang, and others, exposing enterprise AI stacks to systemic risk. Cybersecurity researchers have uncovered a chain of critical ...

Washington — The Trump administration has reached frameworks for reciprocal trade agreements with Argentina, Guatemala, El Salvador and Ecuador, the White House announced Thursday, although details of ...

Framework delivers on its promise to build a truly upgradeable gaming laptop. But keeping that new GPU cool comes at a cost. Framework’s late-2025 upgrade for the laptop is arguably more important ...

Combine structured frameworks with a customizable assessment model to turn strategic fog into prioritized remediation plans with the most value. To keep up with a quickly changing threat environment, ...

Freestanding quick-service restaurants quickly come to mind when thinking about a franchise unit. When it comes to site selection, however, the rise of inline and endcap locations can’t be ignored.

The prize was awarded to Susumu Kitagawa, Richard Robson and Omar Yaghi for the development of an architecture that some chemists compare with a molecular sponge. By Alexa Robles-Gil and Ali Watkins ...

The 2025 Nobel Prize in Chemistry has been awarded to Richard Robson, Susumu Kitagawa, and Omar M. Yaghi for their groundbreaking work in the design and synthesis of metal-organic frameworks, or MOFs.

Researchers from The University of New Mexico and Los Alamos National Laboratory have developed a novel computational framework that addresses a longstanding challenge in statistical physics. The ...