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.
Cureus, Generative Artificial Intelligence Terminology: A Primer for Clinicians and Medical Researchers
AI in anomaly detection: Uncovering hidden threats in data in real-time
Using artificial intelligence to find anomalies hiding in massive datasets, MIT News
Sensors, Free Full-Text
Neural network models learning from examples without training
How can artificial intelligence be used to analyze large datasets? - Quora
/publication/344704514/figure/
Deep Learning: A Comprehensive Overview on Techniques, Taxonomy, Applications and Research Directions
Machine Learning: Algorithms, Real-World Applications and Research Directions
265 questions with answers in NEURAL NETWORKS AND ARTIFICIAL INTELLIGENCE