US researchers say a self-supervised machine-learning tool can identify long-term physical defects in solar assets weeks or years before conventional inspections, potentially reducing operations and ...

The software tool developed by Stony Brook University uses self-supervised learning to detect long-term solar equipment damage weeks or years before manual inspections find it.

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...

AI transformed human work in 2025 – and meaning, truth, democracy with it. Here’s what we learned living through multiple ...

Abstract: Efficient utilization of Big data in smart cities is crucial for smooth operation of urban environments. Machine learning-enabled big data analytics is essential for optimizing city ...

A joint investigation led by Mauro Eldritch, founder of BCA LTD, conducted together with threat-intel initiative NorthScan and ANY.RUN, a solution for interactive malware analysis and threat ...

Population-based age- and sex-specific percentiles showing 30-year absolute risk estimates for cardiovascular disease, atherosclerotic cardiovascular disease (ASCVD) and heart failure (HF) based on ...

Google's latest moonshot research project wants to send data centers to space. CEO Sundar Pichai is the latest tech executive to bet on the idea during the AI race. Pichai said he hopes Google can ...

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