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 ...

Facial recognition algorithms are getting better at recognizing faces in masks, according to data published on Tuesday by the National Institute for Standards and Technology (NIST). Drawing on ...

A new study from the National Institute of Standards and Technology confirmed what other research has previously shown: Many facial recognition algorithms perform better on white people than on ...

Face-mask recognition has arrived—for better or worse. New algorithms can police whether people are complying with public health guidance. The practice raises familiar questions about data privacy.

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 ...

Many facial recognition algorithms are more likely to mix up black faces than white faces. Each chart represents a different algorithm tested by the National Institute of Standards and Technology.

Despite massive improvements in deep-learning techniques, federal testing shows that most facial recognition algorithms perform poorly at identifying people besides white men.

"While it is usually incorrect to make statements across algorithms, we found empirical evidence for the existence of demographic differentials in the majority of the face recognition algorithms ...

A new deep-learning algorithm trained to recognize the sex and identity of wild chimps could help scientists better understand animal behavior. The news: Face recognition has developed a bad rap ...