Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

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

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

The International Society of Automation (ISA) has released “Industrial AI and Its Impact on Automation,” a paper that examines the impact of artificial intelligence on industrial automation. ISA ...

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.

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 ...

Social media has birthed an entire lexicon replicated by millions online — even if these words don’t actually mean skibidi. On today’s show, we talk to author Adam Aleksic about how TikTok and ...

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 ...