Scientists teach computers to teach themselves
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Spotted: Scientists at China's Sun Yat-Sen University and Hong Kong Polytechnic University have developed a way for a neural network (a type of AI that mimics how a human brain works) to self-correct its understanding of a video of human movements by comparing its guesses to the guesses of other networks. Up until now, to correctly identify human poses, neural networks required lots of data -- cues about how a knee or elbow bends, and 2-D and 3-D renderings. The problem is that there isn't always enough labeled data to feed a network. The researchers decided to demonstrate that a network…
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