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, ...
China Daily Global Edition

Wuhan University team wins top computer vision prize

Professor Gao Zhi's research team from the School of Remote Sensing and Information Engineering at Wuhan University in Hubei ...
Visual Studio Magazine

Data Anomaly Detection Using a Neural Autoencoder with C#

Dr. James McCaffrey of Microsoft Research tackles the process of examining a set of source data to find data items that are different in some way from the majority of the source items. Data anomaly ...
来自MSN

AI and analytics reshape home security with proactive threat detection

Advances in AI, IoT, and predictive analytics are enabling home security systems to shift from reactive alerts to proactive threat prevention. Research shows that refining anomaly detection for ...