New research shows large language models rival humans in learning logic-based rules, reshaping how we understand reasoning.

Where training sets were once scraped freely from the web or collected from low-paid annotators, companies are looking to ...

For years, the AI community believed that larger models are naturally more secure. The logic was simple: as larger models ...

But the new higher-education compact offered to universities by the administration strongly suggests that Trump’s ...

Oxipital AI's approach combines 3D scanning with AI-generated training data to inspect products without manual image ...

Focusing on the limitations of traditional control hardware and centralized databases, Trihedral's Barry Baker highlights how ...

ASML Holding N.V. is the critical gatekeeper for EUV lithography, benefiting from surging AI-driven demand. Learn more about ...

Too often, critical data generated at the "edge" of organizations don’t make it to decision makers in time, if at all.

Beijing ZhuLong recently announced that its AI large model has been deeply applied in the field of procurement review, aiming to promote the intelligent transformation of procurement review through ...

A new study refutes an old security assumption. It's not the percentage, but a small, fixed number of poisoned data that ...

DFINITY launches Caffeine, a groundbreaking AI platform that builds and updates full-stack web apps from natural language ...

The future lies in putting intuitive, governed AI workflow tools directly in the hands of business users. When those tools ...