Synthetic data, artificially generated data that mirrors real-world data, has become increasingly valuable in various domains, particularly in natural language processing (NLP). It offers numerous ...

fluxfox is intended to serve the needs of an emulator that wishes to read various disk image formats. Its primary focus has been the PC platform, but has recently gained initial support for other ...

Background: Quantum image processing is rapidly developing in the field of quantum computing, and it can be successfully implemented on the Noisy Intermediate-Scale Quantum (NISQ) device. Quantum ...

Machine learning and deep learning have been widely embraced, and even more widely misunderstood. In this article, I’ll step back and explain both machine learning and deep learning in basic terms, ...

Multiparametric video-cabled marine observatories are becoming strategic to monitor remotely and in real-time the marine ecosystem. Those platforms can achieve continuous, high-frequency and ...

A preprint version of the article is available at bioRxiv. To achieve this goal, we propose herein the yin–yang codec (YYC) coding algorithm, inspired from the traditional Chinese concept of yin and ...

Machine learning is a branch of artificial intelligence that includes methods, or algorithms, for automatically creating models from data. Unlike a system that performs a task by following explicit ...

Note: Some of the code here is old and was written when I was learning C++. It might be possible that code is not safe or making wrong assumptions. Please use with caution. Pull requests are always ...

Anyone with an interest in bitcoin will have heard the phrase 'cryptographic hash function' at some time or other. But what exactly does it mean, and how is it connected to cryptocurrency? Hash ...

Neuroscience currently lacks a comprehensive theory of how cognitive processes can be implemented in a biological substrate. The Neural Engineering Framework (NEF) proposes one such theory, but has ...