Using artificial intelligence to find anomalies hiding in massive datasets, MIT News

Researchers at the MIT-IBM Watson AI lab have developed a computationally efficient method that could be used to identify anomalies in the U.S. power grid in real time. The novel technique augments a special type of machine-learning model with a powerful graph structure, and does not require any labeled data to train.

Using artificial intelligence to find anomalies hiding in massive datasets

Study: AI models fail to reproduce human judgements about rule violations, MIT News

Using artificial intelligence to find anomalies hiding in massive datasets

News - MIT-IBM Watson AI Lab

Applied Sciences, Free Full-Text

A tool for predicting the future, MIT News

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Sensors, Free Full-Text

How can artificial intelligence be used to analyze large datasets? - Quora

A survey of applications of artificial intelligence and machine learning in future mobile networks-enabled systems - ScienceDirect

Model-free detection of unique events in time series

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Using AI To Find Anomalies Hiding In Massive Datasets - Pioneering Minds