Scientists found that people are becoming overconfident about their ability to tell real and digital faces apart, making us ...

A new study finds that most people, even those with exceptional face-recognition skills, struggle to tell real faces from AI-generated ones.

It was a rocky 10-month effort by the Milwaukee police who attempted to convince the public getting facial recognition was a positive.

If Project Toscana is real and ready for primetime, it likely won’t debut in the budget-friendly 10a, which arrives March 5. Instead, it could signal that Google is once again trying to build the ...

Most people believe they can spot AI-generated faces, but that confidence is out of date, research from UNSW Sydney and the Australian National University (ANU) has demonstrated. With AI-generated ...

The grocery store chain Wegmans, among other retailers, is using face recognition on its customers — and scanning their faces for resemblance not only to accused shoplifters but also to people whose ...

If you’re a Wegmans shopper, Big Brother may be watching you. The supermarket chain said it’s starting to use facial recognition technology in some stores. Wegmans addressed its strategy after signs ...

Crime is down. Migrant workers and customers are staying home. As part of our video series on Trump’s second term, The Wall Street Journal’s Michelle Hackman takes us inside the aftermath. Photo ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive technology and inclusive education. In an attempt to close that gap, I developed a ...

Abstract: With the extraordinary growth in images and video data sets, there is a mind-boggling want for programmed understanding and evaluation of data with the assistance of smart frameworks, since ...

This project is a standalone desktop-based face authentication system built using Python, PyQt5, OpenCV, and Deep Learning (DeepFace/FaceNet). The application uses the computer’s local webcam to ...

Introduction: Assessing eating behaviors such as eating rate can shed light on risk for overconsumption and obesity. Current approaches either use sensors that disrupt natural eating or rely on ...