Consisting of 16,000 computer processors, an "unsupervised," self-learning neural network from Google is capable of hierarchically arranging data, removing duplicate similar features, and grouping certain images together. The network, which simulates the human brain, was able to recognize the image of a cat without being prompted to do so. Some say that the scale of modeling the full human visual cortex may be within reach before the end of the decade.

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