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 ...
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 ...
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 ...