Does ‘federated unlearning’ in AI improve data privacy, or create a new cybersecurity risk?

As governments push for stronger data rights like the “right to be forgotten,” evidence suggests AI may not fully comply, ...
InfoQ

Anthropic Releases Claude Mythos Preview with Cybersecurity Capabilities but Withholds Public Access

Anthropic has introduced Claude Mythos Preview, its most advanced AI model, improving significantly in reasoning, coding, and ...
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 ...
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 ...