Abstract: Reservoir computing is a machine learning paradigm with lower training costs that replaces traditional recurrent neural networks in some time series processing areas to simplify complexity.
Abstract: Under the requirement of highly reliable encryption, the design of true random number generators (TRNGs) based on field-programmable gate arrays (FPGAs) is receiving increased attention.
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