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From The Chinese University of Hong Kong: A New Algorithm That Recognizes Faces Better Than People CanPosted: April 24, 2014
It’s already a little eerie when Facebook suggests tags for who it recognizes in your photo, especially for faces that are small, blurry, or otherwise difficult to distinguish. What if Facebook were even better–better at recognizing people in pictures than you are?
Two computer scientists are announcing they’ve made a program that is better at matching photos than people are, the Physics arXiv Blog reports. This is the first time a program has performed better than people at recognizing people.
To be sure, the new algorithm, developed at the Chinese University of Hong Kong, outperforms people in a very specific task with a very specific set of photos. The Hong Kong researchers asked the algorithm to tell whether two faces are the same, drawing from a set of 13,000 photos of 600 public figures. Humans get the right answer 97.53 percent of the time, on this test. The Chinese University of Hong Kong algorithm is right 98.52 percent of the time. (You can try some sample matches at the Physics arXiv Blog!)
BEIJING (AP) –Didi Tang reports: The Chinese government has declared victory in cleaning up what it considers rumors, negativity and unruliness from online discourse, while critics say the moves have suppressed criticism of the government and ruling Communist Party.
Beijing launched the campaign this summer, arresting dozens of people for spreading rumors, creating new penalties for people who post libelous information and calling in the country’s top bloggers for talks urging them to guard the national interest and uphold social order. At the same time, government agencies at all levels have boosted their online presence to control the message in cyberspace.
“If we should describe the online environment in the past as good mingling with the bad, the sky of the cyberspace has cleared up now because we have cracked down on online rumors,” Ren Xianliang, vice minister of the State Internet Information Office, said during a rare meeting this week with foreign journalists.
A study by an Internet opinion monitoring service under the party-owned People’s Daily newspaper showed the number of posts by a sample of 100 opinion leaders declined by nearly 25 percent and were overtaken by posts from government microblog accounts.