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 ...

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a specific approach to reach the same goal.

Researchers Yue Zhao and Kang Pu from Stony Brook University—in collaboration with Ecosuite's John Gorman and Philip Court, ...

The recognition is for a 2005 paper titled “Agnostically Learning Halfspaces,” which Klivans co-authored with Adam Tauman ...

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 ...

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

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 and spectroscopy enhance plastic recycling sorting accuracy and efficiency for sustainable manufacturing practices.