Using artificial intelligence to find anomalies hiding in massive
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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.
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Using Artificial Intelligence To Find Anomalies Hiding in Massive
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From The Swiss Federal Institute of Technology in Lausanne [EPFL
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