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 ...
This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...
Doug Bonderud is an award-winning writer capable of bridging the gap between complex and conversational across technology, innovation and the human condition. By defining a set of normal user and ...
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 ...
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 ...
Morning Overview on MSN
AI uncovers 1,300+ weird anomalies in 30 years of Hubble data
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.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results