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.April 24, 2020
Aditi Krishnapriyan joins the Data Analytics and Visualization Group.June 4, 2019
NWB:N Project Hosts User/Developer Days. (Read more at the CS web site)Feburary 4, 2019
NWB:N Consortium Rolls Out v2.0 of Software Ecosystem for Neuroscientists. (Read more at the CRD web site)November 20, 2018
Berkeley 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)November 12, 2018
Loring co-authors ISAV 2018 Honorable Mention Paper.November 2, 2018
DAV Staff headed to Dallas for SC18. (Read more at the CS web site)July 9, 2018
"Women @ The Lab" recognizes DAV's Daniela Ushizima. (Read more at the LBL Women at the Lab website)June 26, 2018
Berkeley researchers use machine learning to search science data (Read more at the CS web site).