Using artificial intelligence to find anomalies hiding in massive datasets, MIT News
4.5 (622) · $ 13.00 · In stock
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.
New MIT technique uses AI to find anomalies hiding in massive datasets - Highways Today
Applied Sciences, Free Full-Text
Enyan Dai on LinkedIn: #neurips2023 #gnn #trustworthyai #responsibleai #aiforgood
Artificial Intelligence
Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions
Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets
Method finds hidden warning signals in measurements collected over time, MIT News
What Is Machine Learning (ML)?
Sensors, Free Full-Text
Using artificial intelligence to find anomalies hiding in massive datasets, MIT News
Harnessing the era of artificial intelligence in higher education: a primer for higher education stakeholders
