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.

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.

Deep learning is a topic that is making big waves at the moment. It is basically a branch of machine learning (another hot topic) that uses algorithms to e.g. recognize objects and understand ...

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

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.

In most discussions, deep learning means using deep neural networks. There are, however, a few algorithms that implement deep learning using other kinds of hidden layers besides neural networks.