Along with owning the largest stockpile of photos in the world, Facebook has announced it now plans to unleash facial recognition technology with a new program that promises to identify the subject of an untagged image with nearly unparalleled accuracy.
Researchers at the social media giant claim that humans who look at two faces can identify if they are the same person with a 97.53 percent accuracy. They promise that the company’s new “DeepFace” program will be able to do the same with 97.25 percent accuracy.
DeepFace was developed by Facebook artificial intelligence (AI) analysts Yaniv Taigman, Ming Yang, and Marc' Aurelioa Ranzato, along with Lior Wolf, a faculty member at Tel Aviv University in Israel. Their research paper was first published last week in the Massachusetts Institute of Technology's Technology Review.
DeepFace was developed by Facebook artificial intelligence (AI) analysts Yaniv Taigman, Ming Yang, and Marc' Aurelioa Ranzato, along with Lior Wolf, a faculty member at Tel Aviv University in Israel. Their research paper was first published last week in the Massachusetts Institute of Technology's Technology Review.
“This deep network involves more than 120 million parameters using several locally connected layers without weight sharing, rather than the standard convolutional layers".
DeepFace is still in the research stage and has not been exposed to the 1.23 billion Facebook users.
The team, which plans to announce the program in June at a computer vision conference, said it released the research paper last week to solicit the opinions of other qualified experts and gauge public opinion as a whole. That could perhaps be motivated by the number of questions that were raised when Facebook announced 18 months ago that it had purchased the Israeli startup Face.com for a reported price of approximately US$60 million.
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