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 ...

Demographic bias gaps are closing in face recognition, but how training images are sourced is becoming the field’s biggest privacy fight.

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.

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.

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.

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

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 ...