Abstract: Guessing random additive noise decoding (GRAND) has enabled the practical implementation of maximum likelihood (ML) or near-ML decoding, shifting the paradigm of code-specific decoder design ...
Abstract: The majority of the most recent data-driven advancements, notably artificial-intelligence (AI) and machine-learning (ML) depend heavily on binary arithmetic computations. This paper focuses ...
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