Artificial intelligence is rapidly changing how scientists search for new catalysts—the materials that speed up chemical ...

As AI increasingly mediates product discovery, traditional brand-building advantages such as awareness, storytelling, and ...

Chinese scientists have developed a machine learning-based typhoon rapid intensification forecasting model which has been ...

The field of neuroimaging has undergone profound transformation in recent years, driven primarily by rapid advances in machine learning (ML), and especially deep learning (DL), techniques. These ...

This article was co-authored with Emma Myer, a student at Washington and Lee University who studies Cognitive/Behavioral Science and Strategic Communication. In today’s digital age, social media has ...

AdaBoost.R2 regression is a machine learning technique used to predict a single numeric value. AdaBoost.R2 builds a sequence of decision tree regressors where each accepted tree improves prediction ...

Abstract: Credit card fraud detection is a critical task in financial systems, requiring effective algorithms to accurately classify transactions as fraudulent or non-fraudulent. This paper proposes a ...

As we head towards 2026, AI has become a powerful aid for both learners and teachers, enabling personalized study and creating new ways to teach and engage students. At the same time, industry is ...

Algorithmic trading is no longer the exclusive domain of niche quantitative firms—it has become the backbone of modern financial markets. I am already seeing the significant impact AI-driven ...

Abstract: Soil organic matter (SOM) is essential for maintaining soil structure, nutrient supply, and water regulation in cultivated land, significantly impacting agricultural productivity and the ...