EurekAlert!

A review of machine learning advances in reliability-based design, integrity assessment, inspection and maintenance of pipelines

Machine learning (ML) is reshaping pipeline integrity management (PIM) from physics-based to data-driven paradigms. This ...
Memeburn

What Is Machine Learning? How It Works, Types & Real-World Uses (2026)

Learn what machine learning is, how it works, its types, the algorithms it uses, and its real-world uses in this complete ...
International Monetary Fund

GDP Nowcasting Performance of Traditional Econometric Models vs Machine-Learning Algorithms: Simulation and Case Studies

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
BMJ

Machine learning approaches to injury risk prediction in sport: a scoping review with evidence synthesis

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

US-DATA Expands Global Data Annotation Services for AI, Computer Vision and Machine Learning Projects

As artificial intelligence becomes a core part of business infrastructure, the quality of training data is now one of the most important factors behind model performance. US-DATA ...
International Telecommunication Union

AI for Good: Meet the people powering machine-learning solutions

This year’s finalists of ITU's AI for Good Machine Learning in 5G Challenge share their stories of success, trial and ...
Yale Environment 360

A step toward clinically useful brain-behavior machine learning models

Relating brain activity to behavior is an ongoing aim of neuroimaging research as it would help scientists understand how the brain begets behavior — and perhaps open new opportunities for ...