Bayesian Memory, a Possible Hardware Building Block for Intelligent Systems
نویسندگان
چکیده
One of the problems with traditional AI and ANNs was that they did not scale well. But recently, the computational neuroscience community has started providing scalable algorithms (often loosely based on cortical models) that can be applied to large intelligent computing problems. These new algorithms, when combined with hybrid nanoelectronics, have the potential for “comparably scalable neuromorphic hardware”.
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