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 ...

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.

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 ...

Misleading weather app icons are causing financial headaches for major attractions, like zoos, because people are canceling ...

Quadratic regression is a classical machine learning technique to predict a single numeric value. Quadratic regression is an extension of basic linear regression. Quadratic regression can deal with ...

CLCircular, a European leader in supply chain monitoring through connected, reusable IoT sensors, achieves B Corp certification ...

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 ...

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

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

AI doesn't create bias. It scales existing bias with mathematical precision. When a model trains on decades of credit decisions that reflect historical redlining and discriminatory lending practices, ...