A research team at Texas A&M University is studying the use of Siri-like virtual assistant technology for use in space. The ...

Anomaly detection can be powerful in spotting cyber incidents, but experts say CISOs should balance traditional signature-based detection with more bespoke methods that can identify malicious ...

Dr. James McCaffrey from Microsoft Research presents a complete program that uses the Python language LightGBM system to create a custom autoencoder for data anomaly detection. You can easily adapt ...

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.

There are many different types of anomaly detection techniques. This article explains how to use a neural autoencoder implemented using raw C# to find anomalous data items. Compared to other anomaly ...

What does anomaly detection actually mean? Find out inside PCMag's comprehensive tech and computer-related encyclopedia.

Tags anomaly detection association learning byu data mining lab christophe giraud-carrier classification cluster detection data mining kaleena mckell regression campus education ...

Was Sunday an anomaly for the Philadelphia Eagles or a regression to an expected mean? It will be interesting to see how a 42-19 beatdown at the hands of the San Francisco 49ers will be treated by ...