EurekAlert!

Chung-Ang University researchers review deep learning-based methods to detect time series data anomaly

Researchers analyze state-of-the-art approaches, limitations, and applications of deep learning-based anomaly detection in multivariate time series Monitoring financial security, industrial safety, ...
SiliconANGLE

Acceldata can now spot data anomalies across multiple dimensions

Data observability vendor Acceldata Inc. today announced Adaptive AI Anomaly Detection capabilities in its xLake Reasoning Engine that automatically identify hidden, multidimensional data anomalies ...
Investing

Confluent adds AI agent collaboration and anomaly detection tools

MOUNTAIN VIEW, Calif. - Confluent Inc. (NASDAQ:CFLT) announced capabilities for connecting AI agents and detecting data anomalies across its streaming platform, according to a company statement. The ...
Forbes

AI-Driven Anomaly Detection On Social Media: 5 Things To Consider

I am the VP of Engineering at Apriorit, a software development company that provides engineering services globally to tech companies. Social media is an indispensable tool for businesses to engage ...
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, implemented with JavaScript. Compared to other anomaly detection techniques, ...