Visual Studio Magazine

Data Anomaly Detection Using a Neural Autoencoder with C#

Data anomaly detection is 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. There are many different types of ...
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 ...
dbta

Acceldata’s Adaptive AI Anomaly Detection Supercharges Data Quality

Acceldata, a leading provider of data observability and agentic data management solutions, is announcing a new capability designed to amplify the power of agentic reasoning within the company’s xLake ...
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, implemented with JavaScript. Compared to other anomaly detection techniques, ...

Expert Data Scientist transforms financial tech with cutting-edge machine learning and anomaly detection Algorithms

When you think about it, financial technology, machine learning, and anomaly detection are proving indispensable in today's ...
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 ...
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 ...