ImageNet database blurs images used for facial recognition training in privacy effort
The team behind ImageNet has announced that it has blurred the faces in its 1.5 million-image database, which has been…
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Chinese researchers create new face biometrics training model for expression recognition
Researchers from Jilin Engineering Normal University in China have developed a new, lighter convolutional neural networks (CNNs) model for facial…
Researcher argues for more data to tap ECG biometrics’ potential
Heartbeat biometrics have come a long way over the past two decades, as explained to attendees of an event hosted…
What’s the difference between managing staff and making AI better? Surprisingly little
Who would have guessed that the three biggest problems when it comes to workforces are also primary and continuous headaches…
Researchers develop hand shape biometrics, suggest forensic application
Hand shape biometrics have been developed by a team of UK researchers, who believe it has strong potential for forensic…
The internet’s small-mindedness makes AI brutish as well
If bias cannot be wrung from the process of training biometrics and other AI algorithms, maybe unsupervised algorithms can learn…
Computer vision modelers take too much for granted. Data sets hold bias surprises
A pair of U.S. researchers say unsupervised computer vision models used in biometrics and other applications can learn nasty social…
BrainChip showcases Akida neural processing capabilities, opens developer environment
AI and machine learning application developer BrainChip has unveiled its latest technology at a top industry event in California and…
Google researchers develop method for improved mobile facial recognition algorithm performance
A team of Google researchers has developed a method of AI model selection that avoids the computational trade-off of slowness…
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