University of Cambridge researchers have developed a nanoelectronic device built from hafnium oxide that mimics how ...

This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...

Machine learning algorithms help computers analyse large datasets and make accurate predictions automatically.Classic models like regression, dec ...

This year's gongs went to projects including AI fraud detection, a marine-debris initiative, and a DSS geospatial tool for grants allocation.

International researchers develop NTAC, an AI that identifies neuronal types with 90% accuracy based purely on synaptic connectivity, outperforming traditional shape-based methods.

Recent technological advances facilitate the reconstruction of complete brain connectomes in small organisms and partial ...

Soft Computing (SC) is an Artificial Intelligence (AI) approach that is more effective at solving real-life problems than traditional computing models. Soft Computing models are tolerant of partial ...

The battlefield is no longer just a physical space of troops and artillery; it is a vast, invisible network of data, sensors, and machine learning models. In the current Iran-Israel conflict, AI is ...

Overview Curated list highlights seven impactful books covering fundamentals, tools, machine learning, visualization, and industry.Guides beginners and professi ...

Science in the modern era is increasingly reliant on enormous datasets and automated analysis. In astronomy, the Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST)—a ten-year survey ...

Executive Summary - Artificial intelligence has moved from research laboratories into deployed defense systems: autonomous ISR platforms, ...