AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

As software systems grow more complex and AI tools generate code faster than ever, a fundamental problem is getting worse: Engineers are drowning in debugging work, spending up to half their time ...

This research presents a mathematical model of medical decision support systems that combines the predictive approach of machine learning with the deductive approach of expert systems. This modeling ...

Miscues and missed shots kept the Duke basketball squad off the board for almost four minutes out of the gates in the No. 6-ranked Blue Devils' season-opening 75-60 win over the unranked Texas ...

A study published last week used a wave flume to evaluate the effects of waves on small-diameter pipelines. The experimental data was interpreted statistically and using machine learning. The ...

ABSTRACT: This study examines the impact of Transformational Leadership (TL) on employee outcomes, specifically Job Satisfaction (JS), Employee Motivation (EM), and Innovative Work Behavior (IWB), ...

This narrative review aims to present an overview of the symptomatology of chronic multi-canalicular benign paroxysmal positional vertigo (mc-BPPV) from deductive (what is believed to be known), ...

Introduction: Motor imagery electroencephalographic (MI-EEG) signal recognition is used in various brain–computer interface (BCI) systems. In most existing BCI systems, this identification relies on ...

Inductive reasoning is a critical skill that enables individuals to make sound decisions by drawing general conclusions from specific observations. Whether you’re working on a high-stakes business ...

Artificial intelligence (AI) is a broad term used to describe various types of virtual "intelligence" designed to replicate aspects of human cognitive abilities. Machine learning (ML) is a type of AI, ...