Onrec

5 Artificial Intelligence Programs for Professionals Selecting the Right Track Across GenAI, Machine Learning, and Data Science in 2026

In 2026, choosing an AI track is mostly a decision about outcomes. GenAI programs help you ship faster workflows and software ...
IEEE

An Ultrasonic-based Metrological Approach for Fall Detection and User recognition using Supervised and Unsupervised Machine Learning Techniques

Abstract: The rapid aging of the world’s population has increased the demand for innovative fall detection systems to ensure the safety and well-being of older people. Falls represent a major health ...
Analytics Insight

How to Become an AI Engineer in 2026: Skills, Projects, and Salary

Overview AI engineering requires patience, projects, and strong software engineering fundamentals.Recruiters prefer practical ...
Analytics Insight

Machine Learning, Stanford University

Stanford University’s Machine Learning (XCS229) is a 100% online, instructor-led course offered by the Stanford School of ...
The Decatur Daily

How to Learn Data Science with Python in 2026: The Complete Beginner-to-Job-Ready Roadmap

A large amount of time and resources have been invested in making Python the most suitable first programming language for ...
IEEE

Unsupervised Learning-Based Coverage Enhancement for RIS-Aided UAV Communication

Abstract: Unmanned aerial vehicles (UAVs) in integration with reconfigurable intelligent surfaces (RIS) play a crucial role in improving wireless communication coverage and enhancing overall ...
ahajournals.org

Abstract 4361575: Phenotyping Cardiogenic Shock Using Unsupervised Machine Learning: A Nationwide Cluster Analysis from National Inpatient Sample

Introduction: Cardiogenic shock (CS) is a heterogeneous clinical syndrome, with varied clinical outcomes driven by hemodynamic states, and initial presentation. However, unsupervised machine learning ...