Anomaly detection is the process of identifying events or patterns that differ from expected behavior. Anomaly detection can range from simple outlier detection to complex machine learning algorithms ...

Artificial intelligence has just turned one of astronomy’s most familiar workhorses into a discovery engine all over again.

Using a powerful AI tool, astronomers have combed through vast troves of data from NASA's Hubble and found over 1,300 cosmic anomalies, more than 800 of which are new to science.

Discover how to secure AI orchestration workflows using post-quantum cryptography and AI-driven anomaly detection for Model Context Protocol (MCP) environments.

I am the VP of Engineering at Apriorit, a software development company that provides engineering services globally to tech companies. Social media is an indispensable tool for businesses to engage ...

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...

Unlike pattern-matching, which is about spotting connections and relationships, when we detect anomalies we are seeing disconnections—things that do not fit together. Anomalies get much less attention ...

As organizations continue to move their systems to the cloud, they face a tough question: How do you keep an eye on everything happening in your ...