SiliconANGLE

Acceldata can now spot data anomalies across multiple dimensions

Data observability vendor Acceldata Inc. today announced Adaptive AI Anomaly Detection capabilities in its xLake Reasoning Engine that automatically identify hidden, multidimensional data anomalies ...
Visual Studio Magazine

Data Anomaly Detection Using a Neural Autoencoder with C#

Dr. James McCaffrey of Microsoft Research tackles 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. Data anomaly ...
SFGate

Understanding Market Anomalies Through Alternative Data

Thomas Kuhn once wrote that scientific revolutions happen when enough anomalies appear. They are unsolvable and do not fit into current theoretical and empirical frameworks. Enough of these anomalies ...
Dark Reading

IoT Anomaly Detection 101: Data Science to Predict the Unexpected

If you run a quick web search on "machine learning use cases," you will find pages and pages of links to documents describing machine learning (ML) algorithms to detect or predict some kind of event ...
Statetechmagazine

State and Local Agencies Can Identify Cyberthreats Through Anomaly Detection

Doug Bonderud is an award-winning writer capable of bridging the gap between complex and conversational across technology, innovation and the human condition. By defining a set of normal user and ...
dbta

Anomalies—Predicting the Past

If you are a modern database professional, you have likely heard about or looked into anomalies and how to detect them. At a very simple level, anomaly detection looks at historical values and ...
Business Wire

Numenta Anomaly Benchmark Evaluates Anomaly Detection Techniques for Real-time, Streaming Data

REDWOOD CITY, Calif.--(BUSINESS WIRE)--Numenta, Inc., a leader in machine intelligence, today launched the Numenta Anomaly Benchmark (NAB), an open-source benchmark and tool designed to help data ...
Phys.org

News on data-anomalies

A recent study is shedding light on the factors that contributed to the significant wildfires in Manitoba in May 2025. The research explores how unusual weather patterns and stressed vegetation ...
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 ...
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 ...
Entrepreneur

Understanding Market Anomalies Through Alternative Data

Opinions expressed by Entrepreneur contributors are their own. Thomas Kuhn once wrote that scientific revolutions happen when enough anomalies appear. They are unsolvable and do not fit into current ...