Large AI models can speed catalyst discovery by predicting performance before synthesis

Artificial intelligence (AI) is transforming the way scientists discover and design new materials. In a specially invited ...

Machine learning can predict preeclampsia by week 34 of pregnancy

A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a complication that can occur late in pregnancy. Preeclampsia is a sudden ...
IEEE

Utilizing Radiomics and Deep Learning to Predict Post-Contrast Information From Contrast Agent-Free Cine Cardiac Magnetic Resonance Imaging

Abstract: Differentiating myocardial scar tissue from healthy myocardium and imaging artifacts is essential in clinical practice. This study investigates the feasibility of using radiomics and deep ...

AI Researcher Mahfuz Islam Khan Jabed Advances Ethical, Explainable AI for Workforce and Healthcare Applications

This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...
IEEE

Multi-Agent Deep Reinforcement Learning for Dynamic Routing in MANETs Using Graph Neural Networks

Abstract: Mobile Ad Hoc Networks (MANETs) consist of decentralized wireless networks with dynamic topologies and frequent link failures which make achieving efficient routing extremely difficult.