Could powerful AI models like Anthropic's Mythos give cybercriminals and other bad actors a roadmap for exploiting tech ...

Abstract: ALPhA-Vision is an always-on low-power subsystem for DNN-inference-based vision tasks in edge SoCs. Flexible and programmable, the subsystem supports CNN and ViT inference and employs ...

Abstract: Zero-shot anomaly detection (ZSAD) is a challenging task that aims to detect anomalies in images without any prior knowledge of the anomaly classes. This task is especially difficult because ...

face-mask-detection/ ├── dataset/ │ ├── with_mask/ # Training images with masks │ └── without_mask/ # Training images without masks ├── model/ │ ├── mask_detector.h5 # Trained model (generated) │ └── ...

GitHub is adopting AI-based scanning for its Code Security tool to expand vulnerability detections beyond the CodeQL static analysis and cover more languages and frameworks. The developer ...

Welcome to the CV-Recognition organization! We are a team of students building a Face Recognition System for Employee Access as part of a computer vision development project. Face Recognition System ...

We ventured into dangerous waters for some underwater metal detecting, but what we didn’t expect was to be surrounded by crocodiles and a massive python. This video takes you into the wild, where we ...

Glaucoma is one of the most common causes of permanent blindness in the world. It slowly damages the optic nerve, which is the bundle of nerve fibers that carries visual information from the eye to ...