Feature selection (FS) is a critical step in hyperspectral image (HSI) classification, essential for reducing data dimensionality while preserving classification accuracy. However, FS for HSIs remains ...

Relating brain activity to behavior is an ongoing aim of neuroimaging research as it would help scientists understand how the brain begets behavior—and perhaps open new opportunities for personalized ...

Researchers at the University of Tokyo developed CYAN, a machine-learning method that extracts reaction rate constants from routine yield-optimization data, revealing a counterintuitive nickel ...

Researchers have built a phylogeny-agnostic machine-learning framework that predicts strain-level phage–host interactions ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of payments. We live in a world where machines can understand speech, recognize faces, and even generate ...

In histopathology, where tissues are studied under the microscope to understand and diagnose diseases, stains represent a quintessential tool. Simply put, stains are carefully selected or crafted ...

Artificial intelligence and machine learning can help health systems in many ways, from improving backend efficiencies to monitoring patients to streamlining imaging analysis. But even when a health ...

Utilizing machine learning to assess distinct depressive symptoms improves the identification of adults with suicidal ideation.

High-precision Global Navigation Satellite System (GNSS) positioning depends on successful carrier-phase ambiguity resolution, but this remains ...

Almost anyone can poison a machine learning (ML) dataset to alter its behavior and output substantially and permanently. With careful, proactive detection efforts, organizations could retain weeks, ...

Cryptocurrency markets generate enormous amounts of information. Artificial intelligence (AI) and machine learning systems can process price movements, trading ...