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 ...

Enterprises deploy machine learning within SAP and cloud pipelines to catch data errors instantly and boost efficiency ...

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

Dr. James McCaffrey from Microsoft Research presents a complete program that uses the Python language LightGBM system to create a custom autoencoder for data anomaly detection. You can easily adapt ...

Arctera, a global leader in data management, today announced new AI-powered features in Arctera InfoScale that enable organizations to identify and respond to ransomware indicators in real time. By ...

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 ...

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 ...

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