AI develops easily understandable solutions for unusual experiments in quantum physics

Researchers at the University of Tuebingen, working with an international team, have developed an artificial intelligence that designs entirely new, sometimes unusual, experiments in quantum physics ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
Scientific Research Publishing

Accuracy and Response Speed of Eye Center Annotation Using Eye Movement Models: Validating the Effectiveness of Eyesight Detection ()

Optokinetic Nystagmus (OKN) is a natural reflexive eye movement in oculomotor studies, reflecting the health status of the visual system. Through accurate eye center annotation, physicians can observe ...
CNBC

Gold and silver price swings are powering algo traders and machine-learning funds

Machine-learning hedge funds surged on the recent jump in precious metals prices, before sidestepping last week's sell-off. Also known as commodity trading advisors (CTAs), the sector notched up one ...
IEEE

Predictive Maintenance of Rotating Machine in Petrochemical Plants Using a Hybrid KNN and RPN Methodology

Abstract: This study presents a hybrid methodology that integrates K-Nearest Neighbors (KNN) machine learning with Risk Priority Number (RPN) analysis to enhance predictive maintenance in rotating ...
IEEE

Optimizing Educational Outcomes Through Machine Learning: Insights from ANN and KNN Models

Abstract: This study addresses the critical issue of college dropout rates by exploring the application of Artificial Neural Network (ANN) and K-Nearest Neighbors (KNN) algorithms for student ...