Stony Brook University Develops Machine Learning Models that Predict PV System Underperformance on Heterogeneous Portfolios

Researchers Yue Zhao and Kang Pu from Stony Brook University—in collaboration with Ecosuite's John Gorman and Philip Court, ...

AI And ML In Cybersecurity: Building Smarter Defenses For A Threat-Driven Future

Despite advanced algorithms and automation, one truth remains: Effective cybersecurity requires a careful balance between ...
Medical Dialogues

Machine Learning Reliably Predicts Early Dysphagia After Stroke, suggests study

According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...
EurekAlert!

Integrating credit and debit data for enhanced insights into borrowing behavior and predictive modeling of credit card delinquency

Researchers from BI Norwegian Business School and NHH Norwegian School of Economics have developed a new behavioral ...
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 ...