Electroencephalography (EEG) is one of the most used techniques to perform diagnosis of epilepsy. However, manual annotation of seizures in EEG data is a major time-consuming step in the analysis ...

Digital systems are expected to navigate real-world environments, understand multimedia content, and make high-stakes decisions in milliseconds. The field of computer vision and deep learning has ...

The 2025 hurricane season was a coming-of-age story for AI weather models, which have been around in some capacity since ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

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 ...

Machine learning models narrow down solutions in synthesis, compounding, product design, and more.