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Neural network learns to identify group sizes without knowledge of numbers

After feeding the network 51,800 images, where each was a unique layout of rectangles of various sizes, the researchers found that the new images generated by the system began to demonstrate an awareness of the relative size of different groups without having to perform any counting. Next, to demonstrate, ANS, the team fed the system another program that allowed the system to compare different groups that it had seen during the first run and found, based on new images generated, that the system was able to make educated guesses about which was bigger or smaller; Teaching computer systems to learn to use ANS is but one step towards creating machines that think rather than simply crunch numbers for us, and the hope is that one day, such systems can be put into robots to make them as useful as those weve seen in movies for decades.

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January 23, 2012 January 30, 2012 PhysOrg.com via Google News CognitiveScience MachineLearning Vision NewsFinder Text English HTML

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Page last modified on January 30, 2012, at 06:09 AM