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Machine learning models identify hidden physical defects in solar arrays
2+ day, 14+ hour ago 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. Image: American Public Power Association / Unsplash Researchers from Stony Brook University, in collaboration with Ecosuite…...