Facial recognition has become more widespread and accurate in recent years, as an artificial intelligence technology called deep learning made computers much better at interpreting images.

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.

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

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 ...

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

Testing can occur by developing more accurate algorithms through the continued increased use of images of people of color for the training of the machine learning systems behind facial recognition.

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 ...

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.