AI Technology & Industry Review
On November 3, facial recognition company Clearview AI was ordered to destroy all existing images and templates the company collected from Australia and to cease collecting facial images and biometric templates from individuals in Australia.
This is the fourth Synced year-end compilation of “Artificial Intelligence Failures.” Our aim is not to shame nor downplay AI research, but to look at where and how it has gone awry with the hope that we can create better AI systems in the future.
New York will suspend implementation of AI facial recognition technology in schools for two years on Wednesday.
A research team from the Hong Kong University of Science and Technology and Harbin Engineering University has adopted facial recognition technology to analyze students’ emotions in the classroom through a visual analytics system called “EmotionCues.”
Synced 10 AI Failures of 2019
Face recognition will continue to play a big role as short video platforms develop functions to appeal to new target groups and provide more innovative, personalized and engaging content to users.
Recognizing faces is as natural and habitual as can be for human beings. But what actually happens inside our brains during the process of recognizing a face? Can artificial intelligence learn to recognize faces the way humans do?
Much of the compute for such services is done on the cloud, but ideally these applications would be light enough to run directly on devices without an Internet connection.
Cosmetic surgery companies are turning to big data, facial recognition, neural networks, adversarial learning and deep learning technologies that can assess the human face and generate outcomes for a specific procedures to guide patients to their best surgical options.
More and more social apps are now leveraging AI technologies such as machine learning, deep neural networks and facial recognition to enable users to create highly-individualized emojis from selfies and photos.
Researchers from Lomonosov Moscow State University and Huawei Moscow Research Center have introduced a wearable card designed to perform the opposite function — concealing a person’s identity from facial recognition systems.
Most insiders Synced interviewed agreed that machine learning training methods which require less labeled data — such as weakly supervised learning, few-shot learning and unsupervised learning — are achieving some promising results.
Facial recognition is a major class of biometric technology which is increasing its market share while expanding its applications across multiple industries.
Microsoft Build 2019 is around the corner. From May 6 to 8, developers and software engineers will fill Seattle’s Washington State Convention Center, where Microsoft is expected to announce updates to Windows, Office 365, its Azure cloud computing platform, and other company platforms and services.
Everyone, however, sleeps. And Synced has found a simple way to challenge cutting-edge facial recognition security scans: just point a camera at the unaware subject while they are sleeping.
It’s not uncommon to find scalpers at concert halls and sporting events, hawking admission tickets at inflated prices. Chinese hospitals however have been invaded by a more problematic breed of scalper — those who deal in the appointment registration tokens that hospitals use to process patient visits.
Welcome to the Year of the Pig! Lunar New Year is China’s biggest holiday, with this year’s celebrations picking up during the “Little Year” period in late January, peaking February 4 for New Year’s Eve, and continuing through February 19.
Synced surveyed several “future hotels” that are already applying AI in hospitality, to see how the tech can provide guests with a unique and satisfying experience.
Boston-based biotech and digital health tech company FDNA has developed a deep learning application, Face2Gene, which can help doctors spot rare genetic disorders.
IBM today announced it will release the world’s largest facial attribute dataset in order to fight bias in artificial intelligence systems used to recognize human faces. The dataset was built by IBM research scientists and contains one million images, five times the image count of the current largest facial attribute dataset. It will be publically available this fall.
Last Saturday night a thief and a document forger went to see Cheung perform in Jinhua City, but instead ended up in handcuffs. They were the latest of five criminal suspects to be apprehended at Cheung concerts over the past two months.
On April 29th, the Assets Supervision and Administration Commission (SASAC) of China’s State Council announced that China Railway Signal & Communication Corp (CRSC) had completed lab testing of their high-speed rail self-driving system (C3 + ATO)…
The robotics community is abuzz with speculation following reports that Amazon’s R&D arm Lab126 is hiring senior researchers for a home robot-producing project codenamed “Vesta.”
Founded by two Chinese AI experts in 2012, the company is particularly competent in recognizing human faces and vehicles. Such capability appeals to China’s public security departments.
China’s traffic police are using AI to tackle “Chinese-style jaywalking” at major urban intersections. Facial recognition cameras take a 15-second video and four snapshots of pedestrians crossing on a red light.
At Synced we are naturally fans of machine intelligence, but we also realize some new techniques struggle to perform their tasks effectively, often blundering in ways that humans would not.
China’s computer vision company Megvii, a.k.a Face++ (旷视科技) has closed their Series C funding round at a staggering US$460 million.