The software tool uses self-supervised learning to detect long-term defects in solar assets weeks or years before ...

Researchers Yue Zhao and Kang Pu from Stony Brook University—in collaboration with Ecosuite's John Gorman and Philip Court, and leveraging historical datasets provided by Ecogy Energy—have devised a ...

Researchers at Dalhousie University are hoping to answer that question. Led by Dr. Ghader Manafiazar, the team at Dalhousie’s ...

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 ...

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, ...

On-board automobile tech has been developing incredibly quickly, but just because a feature is new and expensive, it doesn't ...

Artificial intelligence is starting to do something human clinicians have struggled with for decades: quietly flag patients ...

Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...

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.