This study addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional Gated ...

Artificial Intelligence, Sustainability, The Race to Net Zero, Net Zero Carbon Emissions, Sustainable Development Goals, Real ...

A document from a Louisiana Air National Guard unit that was posted on Reddit includes the Air Force’s “algorithm ... on Wednesday that the flow chart is authentic, but it was meant ...

Mount Sinai researchers studying a type of heart disease known as hypertrophic cardiomyopathy (HCM) have calibrated an artificial intelligence (AI) algorithm to quickly and more specifically identify ...

Artificial Intelligence (AI) is rapidly transforming global maritime operations, ushering in a new era of automation, ...

At Cedars-Sinai, Moore and colleagues are immersed in agentic AI models, creating algorithms that make faster and more accurate decisions while combing through large datasets. Moore, professor of ...

Multi-modal data integration of single-nuclei RNA and ATAC sequencing with spatial transcriptomics, provides new molecular insights into gene regulatory networks driving cell state transitions in ...

Fujitsu Microelectronics Solutions implemented an integrated algorithmic C verification to register transfer level (RTL) emulation flow for its high-level synthesis (HLS) design methodology. “An HLS ...

Abstract: Cancer classification based on gene expression data is a critical challenge in modern bioinformatics, requiring efficient and accurate feature selection methods. This study explores the ...

We developed a novel quantum-classical hybrid algorithm to identify small, informative feature sets that incorporate higher-order correlations, potentially revealing previously undetected biological ...