Imagine trying to design a key for a lock that is constantly changing its shape. That is the exact challenge we face in ...

Abstract: Artificial neural networks (ANNs) are intricate mathematical models, drawing inspiration from the biological nervous system, and offering intelligence alongside nonparametric capabilities.

Learn how to build a perceptron from scratch in Python! This tutorial covers the theory, coding, and practical examples, helping you understand the foundations of neural networks and machine learning.

Gaussian processes (GPs) have attracted considerable attention in assisting evolutionary algorithms (EAs) to solve computationally expensive optimization problems (EOPs) because they can directly ...

ABSTRACT: Liver cancer is one of the most prevalent and lethal forms of cancer, making early detection crucial for effective treatment. This paper introduces a novel approach for automated liver tumor ...

How do the algorithms that populate our social media feeds actually work? In a piece for Time Magazine excerpted from his recent book Robin Hood Math, Noah Giansiracusa sheds light on the algorithms ...

Welcome to an exciting hands-on exploration of neural networks! This repository traces the evolution of artificial intelligence from the humble perceptron of the 1950s to today's powerful large ...