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 ...

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

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

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.