The Machine Learning & Analytics Group engages in research, development, and deployment of scalable, high performance, and data-intensive machine learning, analytics, and visualization technologies in collaboration with other researchers from diverse scientific disciplines. These methods and their application help to uncover new knowledge in scientific data from simulations, experiments and observations.
We accomplish this mission by
We are now the Machine Learning & Analytics Group, a name change that reflects our increasing focus on AI/ML technologies and their application to DOE mission science problems.
January 4, 2021After 20 years of service, Wes Bethel will be stepping down as Group Leader. We have begun an international search for a new Group Leader; more information is available at this job posting.
April 24, 2020Aditi Krishnapriyan joins the Data Analytics and Visualization Group.
October 30, 2019Neurodata Without Borders Project Wins 2019 R&D100 Award (see here
NWB Project Hosts User/Developer Days. (Read more at the CS web site)
Feburary 4, 2019NWB:N Consortium Rolls Out v2.0 of Software Ecosystem for Neuroscientists. (Read more at the CRD web site)
November 20, 2018Berkeley Lab Researchers to Build Standards for Neurophysiology Data. $2 Million NIH Grant to Fund Neurodata Without Borders Project. (Read more at the CS web site)
Loring co-authors ISAV 2018 Honorable Mention Paper.
DAV Staff headed to Dallas for SC18. (Read more at the CS web site)