InfoQ

Anomaly Detection for Time Series Data with Deep Learning

This article introduces neural networks, including brief descriptions of feed-forward neural networks and recurrent neural networks, and describes how to build a recurrent neural network that detects ...
datanami.com

Chung-Ang University Researchers Review Deep Learning-based Methods to Detect Time Series Data Anomaly

SEOUL, Feb. 9, 2023 — Monitoring financial security, industrial safety, medical conditions, climate, and pollution require analysis of large volumes of time series data. A crucial step in this ...
Business Wire

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

CUPERTINO, Calif.--(BUSINESS WIRE)--Falkonry today announced an automated anomaly detection application called Falkonry Insight which operates on high-speed sensor time series data. Insight is the ...
SDxCentral

Lacework Automates Time Series Analysis for Cloud Anomaly Detection

Lacework added an automated time-series modeling to its existing anomaly detection capabilities and enhanced its alert system for better threat detection and investigation at scale. Polygraph then ...

Zhoupu Data Obtains Patent for Machine Learning Anomaly Detection, Empowering Intelligent Business Processes **AI Patent**

The patent obtained by Zhoupu Data focuses on utilizing machine learning technology for business process anomaly detection. In the context of accelerated digital transformation, the demand for process ...
Statetechmagazine

State and Local Agencies Can Identify Cyberthreats Through Anomaly Detection

Doug Bonderud is an award-winning writer capable of bridging the gap between complex and conversational across technology, innovation and the human condition. By defining a set of normal user and ...