Experimental brain-like computing system more accurate with custom algorithm

An experimental computing system physically modeled after the biological brain has "learned" to identify handwritten numbers with an overall accuracy of 93.4%. The key innovation in the experiment was a new training algorithm that gave the system continuous information about its success at the task in real time while it learned. The study was published in Nature Communications.
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