New Study on Synthetic Data-Driven Sub-surface Anomaly Detection by VE3 AI Research

VE3 AI Research publishes a study on synthetic data, magnetic dipole modeling, and unsupervised AI for scalable anomaly ...

Corelight Extends Industry-Leading Ground Truth Data to Every Asset and AI Service on the Network, Building the Foundation for AI-Resilient Defense

Corelight, a leader in fueling the AI SOC, today announced the expansion of its Open NDR platform to include native network performance monitoring and passive asset classification capabilities. The ...
EurekAlert!

Unsupervised interpolation recovery method for spectrum anomaly detection and localization

A dataset for anomaly detection and localization in the 5-GHz ISM band was developed. The normal signals consisted of real-world Wi-Fi signals, whereas the anomalous signals were artificially added to ...
EurekAlert!

An efficient and memory-friendly unsupervised industrial anomaly detection model

The proposed industrial anomaly detection model is computationally efficient, memory-friendly, and also suitable for low-light conditions, common in manufacturing environments, making it well-suited ...
InfoQ

Anomaly Detection Using ML.NET

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Birgitta Böckeler, Distinguished Engineer at ...