The software tool uses self-supervised learning to detect long-term defects in solar assets weeks or years before ...
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 ...
Researchers Yue Zhao and Kang Pu from Stony Brook University—in collaboration with Ecosuite's John Gorman and Philip Court, ...
Morning Overview on MSN
New AI finds missed Alzheimer’s cases and narrows racial gaps
Artificial intelligence is starting to do something human clinicians have struggled with for decades: quietly flag patients ...
Delaware leads state-level AI innovation with responsible governance, workforce certification, AI sandbox, and deepfake ...
Explore how AI-driven anomaly detection enhances the security of Model Context Protocol (MCP) deployments, protecting AI infrastructure from evolving threats with real-time insights.
AI transforms cybersecurity. Our AI-driven systems anticipate threats, adapt to your environment, and safeguard your data with privacy at its core, before breaches occur. Innovation in machine ...
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