Machine learning offers faster, more reliable analysis of Fermi surfaces in search of spintronic materials

The search for next-generation electronic materials often starts with studying the Fermi surface, which serves as a map of a ...
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AI model detects atrial fibrillation with over 90% accuracy

At the Heart Rhythm Society 2026 meeting, researchers unveiled AI-powered algorithms capable of detecting atrial fibrillation (AF) with over 90% accuracy, even in cases where traditional ECG ...
IEEE

A Multi-Scale Deep Learning Framework for Automated Cardiac Arrhythmia Classification Using ECG Signals

Abstract: Cardiac arrhythmia is a critical cardiovascular condition that requires timely and accurate diagnosis to reduce the risk of severe complications such as stroke and sudden cardiac arrest.
IEEE

Automated Classification of User Exercise Poses in Virtual Reality Using Machine Learning-Based Human Pose Estimation

Abstract: Human Pose Estimation (HPE) using machine learning presents significant potential for objectively analyzing user movements within Virtual Reality (VR) environments, particularly for ...