The solution combines live malware analysis across Windows, Linux, and Android with Threat Intelligence Lookup and Threat Intelligence Feeds, giving SOCs a single workflow to reduce noise, shorten ...

Let's make a real-time Facial Landmark Detection using OpenCV, Python, and Mediapipe API. It detects 468 facial landmarks in real time. Facial Landmark Detection is used for AR (Augmented Reality) ...

A maximum severity vulnerability, dubbed 'React2Shell', in the React Server Components (RSC) 'Flight' protocol allows remote code execution without authentication in React and Next.js applications.

Astronomers have detected a massive object moving in a synchronized path behind Earth. Early measurements suggest it has been trailing the planet longer than previously assumed. Its trajectory does ...

Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...

Astronomers have detected one of the darkest objects ever seen at a record cosmic distance—only with the assistance of gravity. The discovery is an important step toward the observation of dark matter ...

Scientists from the Institut Langevin in Paris and TU Wien in Vienna have developed a new technique for detecting hidden objects, such as buried treasure or submarines, using complex acoustical ...

The concept is to make a non-verbal way to a product where users could access their smart home system by using a hand gesture. The product will smartly analyze users hand gesture and do certain ...

Physicists are exploring a quantum-mechanical approach to making smaller radio wave detectors. Physicists have created a new type of radar that could help improve underground imaging, using a cloud of ...

An international team of astronomers has detected a mysterious object in deep space that regularly sends out two-minute pulses of radio waves and X-rays in a repeating pattern every 44 minutes. Known ...

Abstract: Open-world object detection (OWOD) extends object detection problem to a realistic and dynamic scenario, where a detection model is required to be capable of detecting both known and unknown ...