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.

Scientific discovery in the age of artificial intelligence

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

Cureus, Generative Artificial Intelligence Terminology: A Primer for Clinicians and Medical Researchers

AI-Based Modeling: Techniques, Applications and Research Issues Towards Automation, Intelligent and Smart Systems

265 questions with answers in NEURAL NETWORKS AND ARTIFICIAL INTELLIGENCE

Enyan Dai on LinkedIn: #neurips2023 #gnn #trustworthyai #responsibleai #aiforgood

Deep learning modelling techniques: current progress, applications, advantages, and challenges

What Is Machine Learning (ML)?

Applied Sciences, Free Full-Text

How scientists are using artificial intelligence

Recent advances and applications of machine learning in solid-state materials science

News - MIT-IBM Watson AI Lab

How an archeological approach can help leverage biased data in AI to improve medicine, MIT News