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

A high-performance AI framework enhances anomaly detection in industrial systems using optimized Graph Deviation Networks and graph attention ...

In order to truly unlock the potential of boosting cybersecurity with anomaly detection, it’s important to put AI and ML algorithms at the heart of the system.

In this study, we explore an image-based method to automate the manual anomaly detection process on quality control plots using deep learning. To do this we trained a Convolutional Neural Network (CNN ...