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 ...
Tech Xplore

Pinpointing direction in noisy 2D data: New algorithm could improve imaging, AI, particle research and more

A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in ...
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 ...
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 ...
IEEE

Enhancing Random Forest Using Genetic Algorithm for Lifelong Machine Learning

Abstract: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...