A tandem neural network capable of inferring key physical parameters of semiconductor materials from simple transistor measurements has been developed, as reported by researchers from the Institute of ...

A machine learning (ML)-based model may aid in-hospital community-acquired pneumonia (CAP) mortality prediction, according to study findings published in Respiratory Medicine. Res ...

Oxygen depletion in the western Baltic Sea is not uncommon. Oxygen-poor conditions regularly occur in deeper waters, placing ...

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

Space weather forecasting remains a major challenge in heliophysics, as geomagnetic storms continue to pose significant risks to satellite operations, power ...

A study on high-concurrency payment systems proposes a distributed architecture with layered consistency control to ...

The Pokemon Company is hosting a challenge to help make its Pokemon TCG AI opponents more formidable. And it's about time.

Some of the universe’s heaviest elements are born in chaos, in matter flung outward when neutron stars collide or massive ...

Modern supply chain AI solutions do just that. By ingesting massive quantities of supplier data into machine learning models, ...

Overview: Data analysts focus on understanding past business performance through reporting, dashboards, and insights, while ...