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, ...
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 ...

How ML-driven threat detection revolutionizes backup and recovery

For any business that runs on data, Dell PowerProtect Data Manager is an invaluable tool that provides active protection and fast, reliable recovery if a breach does occur. Thanks to AI-driven threat ...
Assembly Magazine

Machine Learning Detects Fastening Errors

Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...
Finextra

Real-Time Fraud Detection with Generative AI: A New Era of Precision Anomaly Detection

In today’s digital world, fraud has become more complex, which means we need smarter ways to detect and prevent it. Generative AI helps with this by looking at large amounts of data in real-time, ...
Security Boulevard

ML-Based Anomaly Detection for Post-Quantum Metadata Exfiltration

Learn how ML-based anomaly detection stops metadata exfiltration in post-quantum AI environments and secures MCP infrastructure against advanced threats.