A neural network built over the years by researchers from Stanford University and Google has managed to teach itself to recognize faces and cats. The network consists of 16,000 processors on a cluster of 1,000 computers. After being exposed to 10 million images downloaded from the Internet, the network software learned to recognize human and cat faces, as well as human bodies, according to the researchers.
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