Google is developing Project Toscana to bring high-end, Apple's Face ID-level facial recognition to both Android and ChromeOS.

A University of Michigan AI model diagnoses more than 50 brain disorders from MRI scans in seconds, with up to 97.5 percent accuracy.

Researchers find that "object recognition" ability, rather than intelligence or tech experience, determines who can best ...

RayNeo has launched the Air 4 Pro globally at CES 2026, featuring the world’s first HDR10 AR displays and Bang & Olufsen-tuned audio. The Air 4 Pro uses FHD micro-OLED displays to create a virtual 201 ...

The objective of this project is to design and implement a real-time computer vision pipeline using Python. The system captures a live video stream, processes frames in real time, detects vision-based ...

This is read by an automated voice. Please report any issues or inconsistencies here. Stanford computer science graduates are discovering their degrees no longer guarantee jobs as AI coding tools now ...

DEC 15 (Reuters) - A federal judicial panel said Monday it would centralize a growing number of lawsuits against Novo Nordisk and Eli Lilly alleging patients lost some or all of their eyesight while ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

Discover Chengdu’s futuristic side, where bold architecture and modern infrastructure create a city ahead of its time. Surrounded by clean roads, creative buildings, and green spaces, Chengdu stands ...

Presentation Attack Detection (PAD) systems rely on analyzing facial dynamics, particularly the movement of eyes and mouth regions, to distinguish between live faces and spoofing attempts. Face mask ...

Abstract: In the field of face detection, computer vision is a fundamental and crucial task, widely applied in video surveillance, identity verification, social media, entertainment, and healthcare.

This research addresses the challenge of monitoring railway driver drowsiness using a real-time, vision-based system powered by convolutional neural networks, specifically the YOLOv8 architecture ...