Artificial neural networks learn better when they spend time not learning at all: Periods off-line during training mitigated ‘catastrophic forgetting’ in computing systems

Researchers discuss how mimicking sleep patterns of the human brain in artificial neural networks may help mitigate the threat of catastrophic forgetting in the latter, boosting their utility across a spectrum of research interests.

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