Using artificial intelligence to find anomalies hiding in massive

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.

IBM Watson for Cybersecurity Inches from Research to Reality

Alfonso Then on LinkedIn: #statistics #research #science #bayesian

New Open-Source System Developed to Manage and Share Complex Datasets

Graph Deep Learning Archives - MIT-IBM Watson AI Lab

News - MIT-IBM Watson AI Lab

Department of Energy (DoE), MIT News

News - MIT-IBM Watson AI Lab

IBM Watson for Cybersecurity Inches from Research to Reality

AI accelerates problem-solving in complex scenarios

Search Stories, MIT News

Artificial intelligence, MIT News