News Releases

https://www.jlab.org/news/releases/jefferson-lab-director-kimberly-sawyer-named-covabiz-magazines-150-most-influential

Data scientists and developers at Jefferson Lab are exploring some of the latest artificial intelligence techniques to help make high-performance computers more reliable and less costly to run. The study deploys machine learning models that are trained to monitor and predict the behavior of a scientific computing cluster. The goal is to help system administrators quickly identify and respond to troublesome computing jobs or hardware behavior, reducing downtime for scientists processing data from their experiments.