Arctera has added AI-powered anomaly detection to its InfoScale data management platform to monitor live data-access activity ...

Dr. James McCaffrey of Microsoft Research tackles the process of examining a set of source data to find data items that are different in some way from the majority of the source items. Data anomaly ...

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 ...

This DIY AI Health Assistant Trained with Edge Impulse, the Edge ML model detects real-time anomalies in SpO₂ and heart rate, ...

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...

Artificial intelligence is transforming the way we explore the Moon. In a recent SETI Live, authors Adam Lesnikowski and Daniel Angerhausen, hosted by Franck Marchis, a Senior Planetary Astronomer at ...

A good way to see where this article is headed is to take a look at the screenshot in Figure 1 and the graph in Figure 2. The demo program begins by loading a tiny 10-item dataset into memory. The ...

In today’s digital world, fraud has become more complex, which means we need smarter ways to detect and prevent it. Generative AI helps with this by looking at large amounts of data in real-time, ...

Percepio has now released Detect 2025.2, a major step forward for automated runtime anomaly detection during system and CI testing. The headline feature is TaskMonitor, a new way to continuously track ...