Computational biologists at Carnegie Mellon University have devised an algorithm to rapidly sort through mountains of gene expression data to find unexpected phenomena that might merit further study.

Artificial Immune Systems (AIS) and anomaly detection algorithms are computational methods inspired by the adaptive and self-regulating properties of the biological immune system. By emulating the ...

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.

Tie together an algorithm, an exchange-traded fund and an academic study finding an anomaly in the markets, and voilà! You have a formula for making money. Trouble is, it turns out that most of the ...

The software tool developed by Stony Brook University uses self-supervised learning to detect long-term solar equipment damage weeks or years before manual inspections find it.

On behalf of U.S Customs and Border Protection (CBP) Non-Intrusive Inspection (NII) Division, this Special Notice is to inform vendors of a Virtual Industry Day that CBP will be hosting on January ...

I recently had a chance to speak with Kevin Conklin, Prelert's VP of Marketing, about application and system performance management, assuring application reliability and availability and how ...

A U.S. Customs and Border Protection officer with the Office of Field Operations adjusts traffic cones as vehicles line up for Non-Intrusive Inspections in a secure area near State Farm Stadium in ...