Facial-recognition algorithms from Los Angeles startup TrueFace are good enough that the US Air Force uses them to speed security checks at base entrances. But CEO Shaun Moore says he’s facing a ...

Indore: Imagine walking into a lecture hall and being marked present without saying a word. This futuristic experience is now ...

Training one algorithm to fool another is known as adversarial machine learning. It is a productive approach, creating images that are misleading to a computer’s vision while looking meaningless ...

The US Department of Homeland Security has carried out trials to test whether facial recognition algorithms could correctly identify masked individuals.

Rapid advances in machine vision and facial recognition have made it straightforward for computers to recognize a wide range of human facial expressions and even to rate faces by attractiveness.

By using machine learning, they created an image that looked like one person to the human eye, but was identified as somebody else by the face recognition algorithm—the equivalent of tricking ...

Facial-recognition technology is already being used for applications ranging from unlocking phones to identifying potential criminals. Despite advances, it has still come under fire for racial ...