Anomaly detection is the process of finding items in a dataset that are different in some way from the majority of the items. For example, you could examine a dataset of credit card transactions to ...

A research team at Texas A&M University is studying the use of Siri-like virtual assistant technology for use in space. The ...

Sub Rosa Ventures and Cleveland Electric Labs Awarded National Laboratory Technology Licensing Opportunity for Variational Autoencoder for Network Anomaly Detection ...

Anomaly detection is one of the more difficult and underserved operational areas in the asset-servicing sector of financial institutions.

Anomaly detection is the process of finding items in a dataset that are different in some way from the majority of the items. For example, you could examine a dataset of credit card transactions to ...

This semi-supervised learning approach is not built around binary classification but around anomaly detection to address previously mentioned shortcomings.