The US Department of Homeland Security (DHS) is piloting facial recognition technologies that can see through face masks with a "promising" level of accuracy, meaning that travelers could end up ...

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 best match it served was only rated at 47 per cent likeness (below). And, to my eye at least, looked off the mark, although you can kind of see the facial contours the algorithm is matching for… ...

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.

Face recognition technology that works in the dark Date: April 16, 2018 Source: U.S. Army Research Laboratory Summary: Researchers have developed an artificial intelligence and machine learning ...

NIST has an ongoing report on how masks have affected facial recognition algorithms, using 6 million images from its database, and digitally adding a mask onto the photos.

ADELPHI, Md. -- Army researchers have developed an artificial intelligence and machine learning technique that produces a visible face image from a thermal image of a person's face captured in low ...

It included 200,000 images with human faces shown in different angles, plus 20 million reference images with no faces at all. The result is one algorithm to recognize them all.