Artificial immune systems (AIS) are inspired by the biological immune system and are used in various fields, particularly in anomaly detection. Anomaly detection refers to the identification of ...

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.

ORCA Computing, a leading quantum computing company, today announced a collaboration with ST Engineering to advance ...

Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...

Diagnostic tool for predictive maintenance in lyophilizers: an anomaly detection algorithm that flags abnormal patterns to cut downtime and costs. Get the essential updates shaping the future of ...

Anomaly detection can be powerful in spotting cyber incidents, but experts say CISOs should balance traditional signature-based detection with more bespoke methods that can identify malicious activity ...

Artificial Intelligence enabled threat detection for Blockchain attacks mainly involved in the application of deep learning and machine learning techniques to identify and mitigate vulnerable and ...

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 ...