The staggering amount of data involved in searching for child pornography is a serious hurdle in hunting down pedophile rings. … A new set of filters improving the ability to comb through terabytes of data and hundreds of thousands of hours of video is now under development by computer scientists at New York University. The machine-learning techniques focus on picking out nudity—and identifying the physical features of children, said Nasir Memon, the NYU [Tandon] professor of computer science and engineering leading the work.
March 16, 2017March 16, 2017Emerald Knox
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