Abstract: We propose a neural min-sum (MS) decoder for non-binary LDPC codes by applying deep learning to the decoding with short to moderate code lengths. In this algorithm, the iterations are ...

In file src_python/ldpc/union_find_decoder/_union_find_decoder.pyx, line 63: def __cinit__(self, pcm: Union[np.ndarray, spmatrix], uf_method: str = False):. A quick ...

For the last five-plus years, killer whales have been ramming – and in some cases sinking – expensive yachts, sailboats and fishing boats in the crystalline waters off the coasts of Spain, Portugal, ...

Early detection and molecular characterization of disease progression are persistent challenges in modern medicine. Although genomic and transcriptomic profiling of tissue lesions and precursors has ...

1 Institute of Cognitive Neuroscience, National Research University Higher School of Economics, Moscow, Russia 2 Department of Learning, Data Analytics and Technology, Section Cognition, Data and ...

A new study tested a device trained to translate four participants' inner thoughts. Andriy Onufriyenko via Getty Images In recent years, scientists have been working on technology that could help ...

EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses machine learning to gain meaningful insights from complex biological data.

ABSTRACT: In this paper, a novel multilingual OCR (Optical Character Recognition) method for scanned papers is provided. Current open-source solutions, like Tesseract, offer extremely high accuracy ...

STANFORD, California, USA, 24 June 2025 – In a comprehensive Genomic Press interview, Stanford University researcher Eric Sun reveals how machine learning is revolutionizing our understanding of brain ...

Amazon Prime Video brought a few movies to SXSW this year that left audiences kind of cold, including “The Accountant 2” and “Holland.” I only mention this because I thought about how much that BBQ ...