Naoto Sugaya

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A new error correction scheme based on a braininspired learning algorithm, called Recurrent Neural Network (RNN), is proposed for resilient and efficient intra-chip data transmission. RNN has a feature to find partially-clustered timeseries data stream and predict the next input data from previous input data stream. By utilizing this feature, a novel(More)
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