The grand repository for open-source AI models is Hugging Face, which now maintains four million open-source AI models, built by and serving a community of 10 million AI developers. Also: Google's new ...

Hackers used log poisoning and web shells to convert Nezha into a remote access tool targeting networks across East Asia.

The Petri tool found AI "may be influenced by narrative patterns more than by a coherent drive to minimize harm." Here's how the most deceptive models ranked.

AI is transforming cybersecurity—from detecting phishing and insider threats to accelerating response. See how Waziuh, the ...

GREEN BAY (WLUK) -- FOX 11 Investigates is checking the success of clear backpacks and other safety measures the Green Bay Area Public School District could consider, including weapon detection ...

A school district in South Jersey is now using an artificial intelligence system designed to detect weapons and prevent a mass shooting. Hundreds of security cameras coupled with AI gun detection ...

The Tron Anti-Drone Defense System includes various components such as a passive radio frequency detector, a 4D AESA pulse-Doppler system, an AESA soft-kill countermeasure, and an EO/IR camera. (Janes ...

Listen to more stories on the Noa app. As far as sticker price goes, the recommended vaccines for kids in the United States do not come cheap. The hepatitis-B shot, given within the first hours of ...

SALEM, Ore. (KATU) — Salem-Keizer Public Schools is expanding its weapons detection system to all middle schools. Last fall, the state’s second-largest school district added the systems to its high ...

Robotics has long been fragmented, with developers forced to choose between closed ecosystems, hardware-specific software, or steep learning curves, according to OpenMind AGI. The company today ...

To solve a problem, we have to see it clearly. Whether it's an infection by a novel virus or memory-stealing plaques forming in the brains of Alzheimer's patients, visualizing disease processes in the ...

Abstract: Deep learning is promising in open-world network intrusion detection, but current deep learning-based methods mainly focus on open recognition with properties that may not always hold and ...