News

Tech Xplore on MSN5d
Computationally efficient anomaly detection achieved through novel dual-lighting model
In a bid to improve quality control and reduce production errors, manufacturers are increasingly adopting automated anomaly ...
EurekAlert!6d
An efficient and memory-friendly unsupervised industrial anomaly detection model
Industrial anomaly detection is crucial for maintaining quality control and reducing production errors, but traditional ...
CSOonline5mon
What is anomaly detection? Behavior-based analysis for cyber threats
“Anomaly detection is the holy grail of cyber detection where, if you do it right, you don’t need to know a priori the bad thing that you’re looking for,” Bruce Potter, CEO and founder of ...
Forbes1y
AI-Driven Anomaly Detection On Social Media: 5 Things To Consider - Forbes
5 Things to Pay Attention To When Building An AI-Powered Anomaly Detection Solution In order to truly unlock the potential of boosting cybersecurity with anomaly detection, it’s important to put ...
Statetechmagazine2y
Identifying Cyberthreats Through Anomaly Detection | StateTech Magazine
Anomaly detection is the process of finding and identifying point, contextual or collective anomalies that fall outside the bounds of defined policies. Detection itself is only the first step; further ...
Visual Studio Magazine1y
Data Anomaly Detection Using LightGBM - Visual Studio Magazine
Get Code Download If you have a set of data items, the goal of anomaly detection is to find items that are different in some way from most of the items. Anomaly detection is sometimes called outlier ...
Visual Studio Magazine1y
Data Anomaly Detection Using a Neural Autoencoder with C#
The Data Science Lab 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 ...