Tech Xplore

Novel framework for unsupervised point cloud anomaly localization developed

The automatic detection of surface-level irregularities—defects or anomalies—in 3D data is of significant interest for ...
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 ...
Electronic Design

Explainable AI for Anomaly Detection

What is explainable AI (XAI)? What are some of the use cases for XAI? What are the technology requirements for implementing XAI? Anomaly detection is the process of identifying when something deviates ...
Visual Studio Magazine

Data Anomaly Detection Using LightGBM

08/02/2024 If you have a set of data items, the goal of anomaly detection is to find items that are different in some way from most of the items. Anomaly detection is sometimes called outlier ...
iaea.org

Improving Computer Security Anomaly Detection Techniques through Coordinated Research Projects

Identifying anomalies in the operations of computer systems that control critical safety and security functions calls for extensive expertise, and the actions required need to be tested, analysed and ...
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 ...