In this tutorial repo we'll be walking through different gradient descent optimization algorithms by describing how they work and then implementing them in PyTorch (using version 1.10). This tutorial ...

ProPauli is a modern and efficient C++ library for the simulation of Quantum circuits. It relies on evolving Quantum observables backward in the Heisenberg picture, an approach that can be ...

In the information age of the 21st century, the rapid changes in communication technology are driving social progress. As an important component of the global communication network, satellite ...

The surge in interest regarding the next generation of optical fiber transmission has stimulated the development of digital signal processing (DSP) schemes that are highly cost-effective with both ...

Generative AI has become the buzzword of 2023. Whether text-generating ChatGPT or image-generating Midjourney, generative AI tools have significantly impacted businesses and dominated the content ...

Over the course of my studies, I’ve found that a lot of Data Science tutorials use extensive techno-jargon that can be quite off putting to a beginner level audience. This article will look to give ...

Machine learning (ML) approaches are a collection of algorithms that attempt to extract patterns from data and to associate such patterns with discrete classes of samples in the data—e.g., given a ...

A growing body of work underlines striking similarities between biological neural networks and recurrent, binary neural networks. A relatively smaller body of work, however, addresses the similarities ...

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 ...

In this work, a total of 322 tests were taken on young volunteers by performing 10 different falls, 6 different Activities of Daily Living (ADL) and 7 Dynamic Gait Index (DGI) tests using a ...