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, ...

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.

Fraud detection is defined by a structural imbalance that has long challenged data-driven systems. Fraudulent transactions typically account for a fraction of a percent of total transaction volume, ...

Overview: In 2025, Java is expected to be a solid AI and machine-learning language.Best Java libraries for AI in 2025 can ease building neural networks, predict ...

In practice, enterprises that embrace provenance transform uncertainty into clarity. They gain the ability to not only ...

Artificial intelligence is starting to do something human clinicians have struggled with for decades: quietly flag patients with Alzheimer’s disease who have slipped through the cracks, and do it in a ...

The way Californians find and evaluate professional services has changed dramatically over the past two decades. From the ...

OverviewThe global NLP in healthcare & life sciences market is anticipated to expand at a CAGR of nearly 25% during the forecast period, fueled by widespread EHR adoption, rising interest in ...