How pointing errors impact quantum key distribution systems

Quantum key distribution (QKD) is an emerging communication technology that utilizes quantum mechanics principles to ensure ...

AI model predicts neural network degeneration patterns in ALS progression

New research from the University of St Andrews, the University of Copenhagen and Drexel University has developed AI ...
Tech Xplore

Benchmarking framework reveals major safety risks of using AI in lab experiments

While artificial intelligence (AI) models have proved useful in some areas of science, like predicting 3D protein structures, ...
Plant Services

From compliance to prediction: How data is redefining industrial safety

Manufacturers are moving beyond audits and checklists by using data-driven safety platforms to improve compliance and ...

Machine learning can predict patients' responses to antidepressants—while disentangling drug and placebo effects

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
IEEE

Machine Learning Agents Leveraging Digital Twins for Failure Prediction in Optical Networks

Abstract: This study proposes an advanced framework for predicting optical amplifier failures in optical networks by integrating Digital Twins (DT) and Machine Learning (ML). Utilizing the GNPy ...
IEEE

A Machine Learning Approach to Explore and Predict Student Motivation Types

Abstract: Motivation plays a significant role in shaping students’ educational outcomes. Understanding the factors that influence student motivation is crucial for enhancing academic performance and ...
Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...