One key part of Microsoft’s big bet on machine learning is that these technologies need to be democratized, turned into relatively simple-to ... adding anomaly detection to the roster.

Machine learning ... as graphs with complex relationships and interdependency between entities, such as bank transactions or network packets. A recent trend of anomaly detection on graph data ...

The DNN analyses data via a machine learning pipeline for Rubrik Polaris Radar that consists of two models: an anomaly detection model and an encryption detection model. Rubrik These models and ...

Thankfully, we have an ace up our sleeves in the form of artificial intelligence (AI) and machine learning ... problem through deep learning that takes anomaly detection to an entirely new ...

Machine learning and recently, graph neural networks become ubiquitous, e.g., in cheminformatics, bioinformatics, fraud detection, question answering, and recommendation over knowledge graphs. In this ...