TechCrunch

Financial firms should leverage machine learning to make anomaly detection easier

Anomaly detection is one of the more difficult and underserved operational areas in the asset-servicing sector of financial institutions. Broadly speaking, a true anomaly is one that deviates from the ...
Nature

Artificial Immune Systems and Anomaly Detection Algorithms

Artificial immune systems (AIS) are inspired by the biological immune system and are used in various fields, particularly in anomaly detection. Anomaly detection refers to the identification of ...
FedScoop

CBP still working toward anomaly detection algorithms at the border

Customs and Border Protection is continuing to work on developing algorithmic systems to conduct automated inspections of vehicles at the border, with the providers of these systems still in the ...
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, ...
Homeland Security Today

CBP to Hold Virtual Industry Day for NII Anomaly Detection Algorithm (ADA) Procurement

On behalf of U.S Customs and Border Protection (CBP) Non-Intrusive Inspection (NII) Division, this Special Notice is to inform vendors of a Virtual Industry Day that CBP will be hosting on January ...
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 ...