Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on the generalized synchronization, ...

To address the above problems, this article proposes a recurrent self-coding neural network (RSCN) for one-stop noise cancellation ... The self-encoding structure is updated cyclically to realize ...

Neural network models that are able to make decisions or store memories have long captured scientists' imaginations. In these ...

Titans architecture complements attention layers with neural memory modules that select bits of information worth saving in the long term.

Do speakers of different languages build sentence structure in the same way? In a neuroimaging study published in PLOS ...

Reservoir computing (RC) is a powerful machine learning module designed to handle tasks involving time-based or sequential ...

On December 19, 1154, in Westminster Abbey in England, Henry FitzEmpress, an educated 21-year old, became the first man to dare to crown himself “King of England”. His aspiration was to create ...

Oby, Degenhart, Grigsby and colleagues used a brain–computer interface to challenge monkeys to override their natural time courses of neural activity ... suggestive of network-level ...

These hairs convert vibrations from sound waves into neural signals that your auditory nerve carries to your brain. Exposure to sounds louder than 85 decibels can damage these hairs. Eighty-five ...

This software project accompanies the research paper, Recurrent Drafter for Fast Speculative Decoding in Large Language Models . A computer equipped with one or more contemporary CUDA GPUs. This ...

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