Earth observation relies on diverse imaging systems whose varying spatial, spectral, radiometric, and temporal ...

Abstract: Dealing with air pollution presents a major environmental challenge in smart city environments. Real-time monitoring of pollution data enables local authorities to analyze the current ...

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

Deep learning variant calling has transformed genomic accuracy. Discover how DeepVariant works, outperforms classical tools, ...

From superconductors and AI-driven quantum analysis to black hole physics, Day 2 of QMAT2026 highlighted cutting-edge ...

Chiral 2D metal halide perovskites (MHPs) are among the most promising materials for future technologies that exploit the ...

Abstract: The accuracy of location information, mainly provided by the global positioning system (GPS) sensor, is critical for Internet-of-Things applications in smart cities. However, built ...

The field of oncology is rapidly being transformed by advances in artificial intelligence (AI), with growing evidence ...

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Objectives Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room ...

A decade ago, DeepMind achieved a major AI breakthrough, enabling systems to learn retro video games like Space Invaders ...