Abstract: Most existing hyperspectral anomaly detection methods are developed and validated on numerical datasets, focusing on simulations rather than practical applications. To bridge this gap, we ...

Traditional rule-based systems, once sufficient for detecting simple patterns of fraud, have been overwhelmed by the scale, ...

With 82% of data breaches involving the human element, the digital landscape remains fragile despite billions spent on ...

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.

Researchers from Skoltech Engineering Center's Hierarchically Structured Materials Laboratory have developed a new method to ...

Explore strategies for managing combinatorial explosion in high dimensional anomaly detection to enhance data observability ...

Comet 3I/ATLAS has already rewritten the rulebook for how an interstellar visitor should behave, and now scientists are ...

Discover how AI-driven anomaly detection safeguards post-quantum context streams in Model Context Protocol (MCP) environments, ensuring robust security for AI infrastructure against future threats.

As leaders begin implementing biometrics, passkeys and AI threat detection, there are several core design principles they ...

Researchers from Politecnico di Milano propose a data-driven water leak detection method that treats leaks as anomalies in ...

Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...

Rail Vision Enters the Quantum Transportation Market with Strategic Acquisition Agreement Ra’anana, Israel, Dec. 12, 2025 (GLOBE NEWSWIRE) -- ...