A team from the University of Córdoba is using artificial intelligence to forecast the annual solar energy available in ...

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 ...

Machine learning algorithms may accurately predict inborn errors of immunity (IEI) in children with persistently low serum IgE.

(A) Overall structure of the model. MLP, multilayer perceptron. (B) Structure of the time encoder module. (C) Structure of the channel encoder module. BN, batch normalization. “Domain bias caused by ...

The Challenge of Reintubation in Pediatric Cardiac Surgery Despite impressive advances in pediatric cardiac surgery—with over 91% of patients surviving their procedures—reintubation ...

A 3D-printed piezoelectric metamaterial uses topology-driven charge transport to locate underwater sound sources from a single compact transducer, replacing bulky hydrophone arrays.

Qubic has just released Neuraxon 2.0, a bio-inspired neural computation framework built on trinary logic and continuous-time processing, proposing an alternative architectural foundation for adaptive ...

1 Department of Computer and Instructional Technologies Education, Gazi Faculty of Education, Gazi University, Ankara, Türkiye. 2 Department of Forensic Informatics, Institute of Informatics, Gazi ...

New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...

People's decisions are known to be influenced by past experiences, including the outcomes of earlier choices. For over a century, psychologists have been trying to shed light on the processes ...

Apple researchers have created an AI model that reconstructs a 3D object from a single image, while keeping light effects consistent across viewing angles.