dbta

What’s in a Name: Anomaly Detection

Analyzing real life cases, it’s easy to notice that the issue of detecting anomalies is usually met in the context of various fields of application, including but not limited to intrusion detection, ...
dbta

Hacked Again? Here’s How an OSS Anomaly Detection Solution Can Get You Back On Track

There’s not a business out there that wouldn’t want to defend itself against fraudulent activities, hacking attempts, and operations disruptions. And with cases of fraud and cyberattacks on the ...
TMCnet

ARTERY Announces AT32 Edge AI Sensor EV Board for Multi-Sensor Gesture, Motion, and Anomaly Detection

Leveraging the high performance, low-power design, and rich peripherals of AT32 MCUs—combined with the Edge Impulse platform— ...
Visual Studio Magazine

Anomaly Detection Using K-Means Clustering with JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, ...
Harvard Business School

Multivariate Unsupervised Machine Learning for Anomaly Detection in Enterprise Applications

Elsner, Daniel, Pouya Aleatrati Khosroshahi, Alan MacCormack, and Robert Lagerström. "Multivariate Unsupervised Machine Learning for Anomaly Detection in Enterprise Applications." Proceedings of the ...
datanami.com

Falkonry Unveils GPU-Based, High-Speed Time Series Anomaly Detection Application

CUPERTINO, Calif., Sept. 22, 2022 — Falkonry today announced an automated anomaly detection application called Falkonry Insight which operates on high-speed sensor time series data. Insight is the ...
Electronic Design

Using AI Anomaly Detection in Embedded Applications

Sign in or sign up to watch this Device Security by Design webinar. This presentation is part of the Device Security by Design Series. Watch the video (below ...