"Computers have been getting better and better at seeing movement on video. How is it that they read lips, follow a dancing girl or copy an actor making faces?"
– from Andrew Blake. Introduction to Active Contours and Visual Dynamics. Visual Dynamics Group, Department of Engineering Science, University of Oxford
In a March 21 Slatest, Mark Joseph Stern misstated that the April 2019 Wisconsin Supreme Court election could give Democratic justices a majority. That opportunity will not arise until the 2020 election. Due to an editing error, a March 20 Future Tense Newsletter incorrectly stated that the National Institute of Standards and Technology has been using nonconsensually obtained images to train its Facial Recognition Verification Testing program. The NIST does not develop or train facial recognition systems. It provides independent government evaluations of prototype face recognition technologies.
Walking around without being constantly identified by AI could soon be a thing of the past, legal experts have warned. The use of facial recognition software could signal the end of civil liberties if the law doesn't change as quickly as advancements in technology, they say. Software already being trialled around the world could soon be adopted by companies and governments to constantly track you wherever you go. Shop owners are already using facial recognition to track shoplifters and could soon be sharing information across a broad network of databases, potentially globally. Previous research has found that the technology isn't always accurate, mistakenly identifying women and individuals with darker shades of skin as the wrong people.
Bears can exactly mimic another bear's facial expressions, casting doubt on humans and other primates being the only mammals able to express their emotions. Sun bears have been observed opening their mouths to match their playmates when they are interacting face-to-face. Researchers claim that such facial mimicry has not been seen in primates outside humans and gorillas. Dogs can also use mimic each other to reinforce bonds. In the behavioural study, they found that bears can use facial expressions to communicate with others in a similar way to humans and apes.
The co-founder of MoviePass has developed a new idea to get people to the theater. Called PreShow, users would be able to earn free movie tickets if they agree to watch advertisements for blocks of time between 15 and 20 minutes. There's also another, creepier, twist to the proposed app: It will only unlock with facial recognition and it also tracks your gaze using facial recognition technology to make sure you're actually watching the ads, according to CNET. A MoviePass co-founder has developed a new idea to get people to the theater. PreShow is being developed by MoviePass co-founder Stacy Spikes, who stepped down as CEO of the beleaguered ticketing company in 2016.
Our brains are incredibly good at processing faces, and even have specific regions specialized for this function. But what face dimensions are we observing? Do we observe general properties first, then look at the details? Or are dimensions such as gender or other identity details decoded interdependently? In a study published in Nature Communications, neuroscientists at the McGovern Institute for Brain Research measured the response of the brain to faces in real-time, and found that the brain first decodes properties such as gender and age before drilling down to the specific identity of the face itself.
The world's smallest bears copy one another's facial expressions as a means of communication. A team at the University of Portsmouth, UK, studied 22 sun bears at the Bornean Sun Bear Conservation Centre in Malaysia. In total, 21 matched the open-mouthed expressions of their playmates during face-to-face interactions. When they were facing each other, 13 bears made the expressions within 1 second of observing a similar expression from their playmate. "Mimicking the facial expressions of others in exact ways is one of the pillars of human communication," says Marina Davila-Ross, who was part of the team.
A unit of the U.S. Department of Commerce has been using photos of immigrants, abused children and dead people to train their facial recognition systems, a worrying new report has detailed. The National Institute of Standards and Technology (NIST) oversees a database, called the Facial Recognition Verification Testing program, that'depends' on these types of controversial images, according to Slate. Scientists from Dartmouth College, the University of Washington and Arizona State University discovered the practice and laid out their findings in new research set to be reviewed for publication later this year. A unit of the U.S. Department of Commerce has been using photos of immigrants, abused children and dead people to train their facial recognition systems, a new report has detailed. The Facial Recognition Verification Testing program was first established in 2017 as a way for companies, academic researchers and designers to evaluate their facial recognition technologies.
Apple has updated its long-in-the-tooth but popular smallest tablet, the iPad Mini, and the larger iPad Air. Both models have been brought up to parity with the iPhone XS and the iPad Pro with Apple's A12 Bionic processor, which is up to three times faster than that in previous versions, which have chips dating back to 2014. The iPad Mini maintains its 7.9in screen and relatively compact design, which have proved popular with commuters. The iPad Air's screen has been increased from 9.7in to 10.5in on the diagonal, making it larger than the standard, cheaper iPad launched in March 2018. Both new iPads also keep the home button with Touch ID fingerprint reader, eschewing Apple's newer Face ID face recognition system and swipe gestures, and the same basic design with large bezels at the top and bottom of the screen.
If you thought IBM using "quietly scraped" Flickr images to train facial recognition systems was bad, it gets worse. Our research, which will be reviewed for publication this summer, indicates that the U.S. government, researchers, and corporations have used images of immigrants, abused children, and dead people to test their facial recognition systems, all without consent. The very group the U.S. government has tasked with regulating the facial recognition industry is perhaps the worst offender when it comes to using images sourced without the knowledge of the people in the photographs. The National Institute of Standards and Technology, a part of the U.S. Department of Commerce, maintains the Facial Recognition Verification Testing program, the gold standard test for facial recognition technology. This program helps software companies, researchers, and designers evaluate the accuracy of their facial recognition programs by running their software through a series of challenges against large groups of images (data sets) that contain faces from various angles and in various lighting conditions.
Deep learning enables machines to learn and solve complex problems using algorithms inspired by the human brain without any human intervention. Deep learning algorithms need data to learn, and lots of it! But that's no problem because we generate approximately 2.6 quintillion bytes a day1. Facial recognition uses images captured of an individual's face from photos or videos. The distances between the eyes, nose, mouth and jaw are measured.