But now, a team from the University of Chicago has come up with a much subtler tactic that still effectively fights back against these sorts of snooping algorithms. Called “Fawkes”—an homage ...

James Vincent is a senior reporter who has covered AI, robotics, and more for eight years at The Verge. Face masks are one of the best defenses against the spread of COVID-19, but their growing ...

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 ...

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. Many of ...

the most accurate facial-recognition algorithms failed to make a correct match between 5% and 50% of the time, according to the report. Generally speaking, most of the algorithms tested had ...

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 ...

Last week the National Institute of Standards and Technology (NIST) published a report showing how 189 face-recognition algorithms, submitted by 99 developers across the globe, fared at ...

Every facial recognition system works differently—often built on proprietary algorithms—but you can sort out the process into three basic types of technology: The detection phase of facial ...

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 ...