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 ...

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 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 ...

So far, there are at least five known cases in which police use of facial-recognition algorithms have led to mistaken-identity arrests in the United States. All five were Black men.

A NIST study published last year found that even without masks, facial recognition software isn’t as good at identifying the faces of people of color as it is identifying the faces of white people.

The study of nearly 200 facial-recognition algorithms from 99 organizations found that Asian and African American people were up to 100 times more likely to be incorrectly identified compared to ...

NEW YORK, Feb. 22, 2019 /PRNewswire/ -- Live Wallpapers Now, the 2018 Instagram Business Success Story, presents Color Match — a color recognition algorithm that allows users to search ...

Amazon needs to come clean about racial bias in its algorithms We shouldn’t be using unaudited facial recognition systems on public streets by Russell Brandom ... May 23, 2018, 9:02 AM PDT ...