Reliable communication hides a deep paradox: the more structure you impose on error correction, the slower and more fragile it becomes. This video unpacks how Robert Gallager's insight, using small, ...

This project implements decoding of Low-Density Parity-Check (LDPC) codes using Deep Reinforcement Learning. A DQN agent learns a bit-flipping policy that sequentially corrects errors in noisy ...

Achieving real-time error correction represents a major hurdle in building practical quantum computers, and researchers are now exploring how to optimise algorithms ...

Most experimental brain-computer interfaces (BCIs) that have been used for synthesizing human speech have been implanted in the areas of the brain that translate the intention to speak into the muscle ...

A new study out this month from Stanford University researchers uses microelectrodes implanted in the motor cortex and generative AI to decode the intended and inner speech of four paralyzed patients.

Researchers have conducted groundbreaking research on memristor-based brain-computer interfaces (BCIs). This research presents an innovative approach for implementing energy-efficient adaptive ...

Abstract: We enhance coarsely quantized LDPC decoding by reusing computed check node messages from previous iterations. Typically, variable and check nodes update and replace old messages every ...

The problem is with me, of that I'm sure. For my own education I'm writing a Windows-based DATV program to use with the QO-100 satellite. I would claim to know what I'm doing most of the time, ...