Financial institutions need model risk management software that can discover hidden spreadsheets and EUCs, govern formal statistical and ...

A machine-learning tool built from Swedish national health registry data can predict hip fracture risk with high accuracy ...

Researchers developed a multi-phase machine-learning framework to rapidly predict electronic band gaps and screen oxide ...

A data-driven financial risk framework integrates big data, machine learning, statistical modeling, and visualization ...

A LightGBM machine-learning model predicts the strength of waste-glass concrete while helping researchers interpret how ...

Jacob Monroe, assistant professor of chemical engineering, has received a National Science Foundation CAREER Award worth $563,155 to use machine learning to develop a model that can make more accurate ...

AI decodes the initiator, a genetic switch present in roughly 60% of focused human gene promoters, giving researchers the ...

AI is approaching the limits of human-generated training data. Explore model collapse, synthetic data, and why preserving ...

ChatGPT and other AI writing tools may be quietly turning science into a popularity contest, repeatedly steering researchers ...

LLMs need vastly more data than children to learn language. Understanding why could help us create more efficient models—and ...

Can a city's seawall stand up to a blockbuster storm? Will a region's power grid hold against record-breaking heat? And can a ...

Reliable vision-guided automation combines 3D depth sensing, calibration, confidence rules and adaptive mechanics to deliver ...