The software tool uses self-supervised learning to detect long-term defects in solar assets weeks or years before ...
AI therapeutics company built on causal biology, today announced the publication of research in Nature Communications validating its POSH (Pooled Optical Screening in Human cells) platform. The study ...
AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a ...
With such increased predictive knowledge of solar systems, these anomaly detectors can significantly reduce costs of O&M, a major component of project economics in solar development. There is great ...
Researchers developed an AI solution to discover undiagnosed Alzheimer's disease, addressing disparities in healthcare access ...
The review reports that blockchain-enhanced federated learning systems typically achieve slightly lower raw accuracy than ...
Forests and plantations play a vital role in carbon sequestration, yet accurately monitoring their growth remains costly and labor-intensive.
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 ...
SANTA CLARA, CA - December 09, 2025 - - Interview Kickstart, a well-known upskilling and interview-preparation platform, ...
Assessment reform, as the study notes, is essential. Rather than banning AI outright, which the authors argue is neither realistic nor effective, medical education systems must redesign evaluations to ...
When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found ...
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