Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require.

Key advances in the development of artificial neural networks came from psychologists seeking to understand how the human mind works.

Neural Concept is helping launch products at 2X the speed. It does this by capturing past knowledge into AI-based ...

Data is the life-blood of physical AI. Collecting real-life data is expensive. Generative AI and diffusion to create ...

When it comes to keeping businesses safe, investing in an effective Fire Watch Guards Service is crucial, but what happens ...

McGill University researchers, publishing in Communications Earth & Environment, used deep-learning computer vision to analyze 719 solar projects across the Western U.S. The study establishes a new ...

The NAI 2026 class of Senior Members is comprised of 230 emerging inventors from 82 NAI member institutions across the globe ...

University of California, Irvine computer scientists have discovered a critical security vulnerability in autonomous ...

Image courtesy by QUE.com The University of North Texas (UNT) is stepping into the future with a new undergraduate major in ...

Computational and AI-enabled systems are increasingly embedded across neurosurgical practice. Macquarie University's ...

Vercept’s first investor was a Seattle-based startup incubator called AI2 Incubator. The organization started out as a unit ...

In his new book, “A World Appears,” Michael Pollan argues that artificial intelligence can do many things—it just can’t be a ...