A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...

Models suited for changing weather conditions are built with inverter technology, where compressor speed, humidity control, ...

Background Double-checking of medication administration is a safety practice used in hospitals around the world. Independence is recommended as the key to effectiveness. Independent double-checking ...

This technical FAQ examines three modeling gaps identified in engineering literature and outlines algorithmic methods to address them.

Researchers observed a link between a constant fear of missing out, addictive TikTok habits, and everyday memory errors. These findings suggest that short video platforms share a unique relationship ...

To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...

A new malware strain dubbed Slopoly, likely created using generative AI tools, allowed a threat actor to remain on a compromised server for more than a week and steal data in an Interlock ransomware ...

SJOLIE reports that consistent imagery in e-commerce can reduce high return rates by aligning customer expectations with ...

Researchers have developed an advanced artificial intelligence (AI) framework designed to significantly improve the forecasting of carbon dioxide emissions in the aviation sector. ACGRIME is an ...

A machine learning-driven framework accurately predicts MPA exposure and supports individualized dosing in childhood-onset LN.

AI-generated Slopoly malware used by Hive0163 in 2026 attacks maintained access for over a week, highlighting how AI ...