Now, the biggest change involves incorporating AI tools to speed analysis and catch anomalies or outliers that humans could miss. “There have been very significant improvements around deep ...

A recent Physical Review Letters publication presents a thorough analysis of MicroBooNE detector data, investigating the anomalous surplus of neutrino-like events detected by the preceding MiniBooNE ...

Exabeam, a global leader in intelligence and automation that powers security operations, and Cribl, the Data Engine for IT and Security, are expanding their strategic partnership—building on their ...

ABSTRACT: This work presents an innovative Intrusion Detection System (IDS) for Edge-IoT environments, based on an unsupervised architecture combining LSTM networks and Autoencoders. Deployed on ...

Exabeam, a global leader in intelligence and automation that powers security operations, and Cribl, the Data Engine for IT and Security, today announced an evolution of their strategic partnership ...

To say that neutrinos aren’t the easiest particles to study would be a bit of an understatement. Outside of dark matter, there’s not much in particle physics that is as slippery as the elusive “ghost ...

Abstract: Video anomaly detection (VAD) is of great importance for a variety of real-time applications in video surveillance. Most deep learning-based anomaly detection algorithms adopt a one-class ...

iRhythm (Nasdaq: IRTC) + today announced findings from a study of its Zio long-term continuous monitoring (LTCM) service. Outcomes from the Oxford University-led active monitoring for atrial ...

This project is designed to identify unusual patterns and potential faults in time-series data (e.g., server metrics, sensor readings, financial data). It goes beyond simple anomaly scoring by: The ...

The framework encompasses two principal phases: the offline model training phase and the online anomaly detection phase. During the offline model training phase, we first preprocess the raw MTS. We ...