Yitu to develop national open AI platform for computer vision under new CTO
Yitu participated in the 17th International Conference on Computer Vision (ICCV 2019) in Seoul, Korea, with its new CTO and…
Yitu Technology
U.S. drops Entity List hammer on Chinese facial recognition unicorns and biometrics providers
The U.S. Government has added 28 organizations to its Entity List, banning major biometrics companies including Dahua, Hikvision, iFlytek, Megvii,…
ID4D initiatives and TSA trials top this week’s biometrics and digital ID news
For the second consecutive week, Nigeria and airport biometrics made headlines on Biometric Update, though for different reasons. Several of…
Yitu and VisionLabs impress in latest NIST facial recognition test results
The latest results from the National Institute of Science and Technology’s (NIST’s) Ongoing Facial Recognition Vendor Test (FRVT) for Verification…
CLEAR and YITU represent biometrics industry on CNBC Disruptor 50 list
A pair of biometric companies have been recognized on the CNBC Disruptor 50 list of private companies changing the world…
Little overlap between NIST facial recognition testing leaders and U.S. government providers
Wired is asking “Why Chinese Companies Plug a U.S. Test for Facial Recognition” in an article highlighting the placement of…
Face biometrics startups lead AI sector in attracting major investment
Facial recognition companies are leaders among the ranks of artificial intelligence startups attracting major investments, with SenseTime totaling $1.63 billion…
YITU opens AI research and development center in Singapore
YITU Technology today announced the launch of the YITU Singapore Research & Development Center. This is the company’s first R&D…
YITU develops highly accurate Mandarin speech recognition system
YITU Technology has developed a Mandarin speech recognition system it says provides an unprecedented degree of accuracy, leveraging its artificial…
Facial recognition 20 times more accurate with advances in convolutional neural networks, NIST finds
Facial recognition algorithms can identify matches with error rates as low as 0.2 percent given good quality photos, 20 times…
