Automated analysis of microscopic images offers a powerful new tool for predicting and managing under-deposit corrosion in ...

To assess predictive potential, the researchers applied machine learning models—including gradient-boosted decision trees and ...

The Graduate School of Information Science (GSIS) at Tohoku University, together with the Physics and Informatics (PHI) Lab ...

The Graduate School of Information Science (GSIS) at Tohoku University, together with Physics and Informatics (PHI) Lab at NTT Research, Inc., have ...

Advanced machine learning model, promises faster and more accurate estimation of wear-and-tear in industrial systems ...

The new AI-powered algorithm analyses high-resolution microscope images of metal surfaces to assess two crucial indicators of corrosion: the thickness of corrosive deposits and the porosity (tiny ...

He began by addressing the industry’s prevailing mindset: that compliance is often the force slowing innovation. “We want to ...

Flood modeling in arid environments like Saudi Arabia is constrained by the absence of reliable hydrological datasets and extreme variability in topography. To overcome these limitations, the study ...

Leading the Way in Safe, Automated Crypto Trading around the world New York City, NY, July 24, 2025 (GLOBE NEWSWIR ...

In this valuable study, the authors provide a simple yet elegant approach to identifying therapeutic targets that synergize to prevent therapeutic resistance in ovarian cancer using cell lines, ...