Atmospheric aerosols influence climate forcing, air quality, visibility, and human health, but their properties vary widely across space and time. Satellite instruments equipped with multi-angle and ...

Traditional computational electromagnetics (CEM) methods—such as MoM, FEM, or FDTD—offer high fidelity, but struggle to scale ...

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...

Cognitiv, the leading advanced performance partner powered by deep learning, today announced strong business momentum in 2025, highlighted by 388% growth in ContextGPT™ and the rapid adoption of the ...

A NEWLY published retrospective study has shown that AI, particularly deep-learning algorithms, can significantly reduce the rate of misdiagnosis in paediatric elbow fractures. The study analysed 755 ...

Security researchers have conducted an in-depth analysis of DragonForce ransomware that initially emerged in 2023 and has since evolved into what it calls a "ransomware cartel." The most recent ...

The workflow encompasses patient datacollection and screening, univariate regression analysis for initial variable selection, systematic comparison of 91 machine learning models,selection and ...

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...

Struggling to navigate complex deep learning research? This guide helps software engineers efficiently read and understand deep learning papers, breaking down key concepts and tips for practical ...

Background and Aims: Obstructive coronary artery disease (CAD) can lead to myocardial infarction or cardiac death. The accuracy of conventional risk prediction models is limited, leading to excessive ...