Silo Season 3 dropped on Apple TV+ at 3:00 AM ET today, July 3, and its premiere episode, "Who Are You?", contained a scene that research published in 2025 makes disturbingly current: a fabricated ...

Pigeons’ secret talent for detecting cancer can be used to inform medical AI tools that could prevent human error, according ...

Researchers at Binghamton have studied how wars, such as in Ukraine, have led to better landmine detection and don't require internet connections.

Today's antipersonnel land mines are small and often have plastic casings that standard metal detectors cannot register.

There is a pattern emerging from recent work in pure mathematics that deserves more attention from financial technologists ...

Under the award from a leading U.S. Defense Prime Contractor, Forterra, Safe Pro will integrate and test its proprietary advanced computer vision and machine learning AI pipeline onboard autonomous ...

Q.ANT, the pioneer in commercial photonic computing, today demonstrated the first complex, production-relevant AI workloads on its photonic hardware. Q.ANT successfully demonstrated a diffusion model ...

NEW YORK, United States – 16th June 2026 – BeautyPlus announced the launch of an AI-powered object remover designed to remove person from photo quickly while reconstructing complex backgrounds to ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

The UK government reportedly will “encourage” Apple and Google to prevent phones from displaying nude images except when users verify that they are adults. The forthcoming push for nudity-blocking ...

In a leap forward for astronomy, a researcher has developed an artificial intelligence algorithm and discovered more than one million objects in space by parsing through understudied data from a NASA ...

Abstract: Traditional real-time object detection networks deployed in autonomous aerial vehicles (AAVs) struggle to extract features from small objects in complex backgrounds with occlusions and ...