Cracking the code: How a 'prediction machine' is resurrecting the Singapore Stone

Several years ago, my linguistic research team and I began developing a computational tool we call "Read-y Grammarian." Our ...
Unite.AI

AI Breakthrough Improves Brain–Computer Interfaces by Decoding Complex Brain Signals

Researchers at Chiba University in Japan have developed a new artificial intelligence framework capable of decoding complex brain activity with significantly improved accuracy, marking an important ...
Nature

Machine learning articles from across Nature Portfolio

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
IEEE

LoRa Collision Decoding Algorithm Based on Multi-Symbol Peak Phase Consistency

Abstract: Collision decoding is a critical challenge in LoRa's multi-user access. This paper proposes a novel collision decoding algorithm based on multi-symbol phase consistency detection. The peak ...
GitHub

DeHierTAD: A novel algorithm for decoding deeply hierarchical TADs to uncover repressive genomic units.

Operating Systems: DeHierTAD is supported on macOS, Linux, and Windows systems. It has been tested on macOS and Windows 10. We highly recommend using conda to create an isolated environment for ...
IEEE

Deep Learning Methods for Improved Decoding of Linear Codes

Abstract: The problem of low complexity, close to optimal, channel decoding of linear codes with short to moderate block length is considered. It is shown that deep learning methods can be used to ...