In an update Tuesday, the US National Institute of Standards and Technology looked at 41 facial recognition algorithms submitted after the COVID-19 pandemic was declared in mid-March.

Face masks are breaking some of the most commonly used facial recognition algorithms, according to a new study from US government agency NIST (the National Institute of Standards and Technology).

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 ...

In 2020, it’s worth assuming that every status update and selfie you upload online can eventually make its way into the hands of an obscure data-mining ...

Facial recognition algorithms developed before the outbreak struggle to identify people wearing masks or face coverings, according to a new study from the U.S. Commerce Department’s National ...

Face masks are already known to stop the spread of coronavirus. Apparently, they can also make it much harder for facial-recognition software to identify you, too. This is the key finding of a new ...

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 ...

The nation's top-level intelligence office, the Director of National Intelligence, wants to find "the most accurate unconstrained face recognition algorithm.". A branch of the office, which ...

After all, even without masks, facial recognition can stumble -- studies have found that the majority of facial recognition algorithms had a higher rate of false positives for people of color by a ...