Smart city initiatives are generating vast amounts of data from sensors, cameras, mobile devices, and digital service ...

Last year, US banks used real-time machine learning to flag over 90 percent of suspected fraud, yet almost half of chargeback ...

Objectives To evaluate whether type 2 diabetes mellitus (T2DM) presence and severity are associated with differences in global and domain-specific cognitive function among US adults, using ...

Abstract: Effective modeling of the relationship between local spectral details and global contextual information remains a core challenge in hyperspectral image (HSI) classification. In this article, ...

AI protein function prediction uses machine learning models trained on sequence and structural data to infer protein roles at ...