RIT computer science professor Weijie Zhao has earned a National Science Foundation CAREER Award to defend machine learning ...

Using the second-nearest neighboring atoms to predict metallic glass stability can help researchers more accurately model the disordered solid with strong, elastic properties, according to a recent ...

Discover how predictive analytics uses data-driven models like decision trees and neural networks to forecast outcomes and ...

As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...

Ligand-based drug design combines AI and QSAR modeling to prioritize drug candidates, minimizing preclinical failures and ...

Machine learning models could help clinicians estimate individualized risk for major complications among women undergoing ...

A People Analytics study of 205 tech professionals found that promotions, internal mobility, and career momentum are stronger predictors of early attrition than workplace culture.

India's formal credit system has a structural blind spot. Approximately 500 million adults — nearly the entire working ...

Artificial intelligence and machine learning are shaping major design and research decisions for the planned Electron-Ion ...

MAS is conducting a proof-of-value (POV) exercise to explore the use of AI and machine learning in pre-emptive scam detection, as part of broader efforts to apply these techniques to industry-wide use ...