Facial recognition software has made huge gains in accuracy in the past five years, a new study from the National Institute of Standards and Technology asserts. In fact, the technology has undergone ...

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 ...

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.

As an essential step in facial recognition, 3D liveness detection works by leveraging algorithms and sensors to detect subtle noise in real and synthetic faces.

Facial recognition algorithms will always make mistakes. But how can we make them less discriminatory?

Researchers have developed a new computational model of the human brain's face-recognition mechanism that seems to capture aspects of human neurology that previous models have missed.

You can opt out of facial recognition in some cases, but the history and future of the technology suggest we’ll need bigger solutions to its privacy problems.

Then they challenged facial recognition teams to download the database and see how their algorithms performed when they had to distinguish between a million possible matches.