Obtober 20, 2022
Talita Perciano is among the Lab researchers honored with 2022 Berkeley Lab Director Achievement Awards. She was awarded the Early Scientific Career Award for her outstanding achievements in advancing theory and practice in artificial intelligence/machine learning and quantum computing, producing impactful software implementations that have meaningful applications to important scientific problems, and scientific publications in influential venues with international visibility. Learn more.
April 20, 2022
Oliver Ruebel, Talita Perciano, and E. Wes Bethel contributed to a recently paper published in the Proceedings of the National Academy of Science where the team, along with researchers from the Pacific Northwest National Laboratory and the University of Washington, developed deep learning techniques for analyzing in situ high-speed atomic force microscopy (HS-AFM) and transmission electron microscopy data. More information.
March 1, 2022
Talita Perciano is part of the Computing Sciences team that developed HYPPO, a software that leverages prediction uncertainty to optimize deep learning models for science. More information.
January 18, 2022
After nearly 22 years first as the Group Lead for the Visualization Group, then the Data Analytics and Visualization Group, and now the Machine Learning and Analytics Group, Wes Bethel steps down and welcomes Michael Mahoney, the new incoming Group Lead for the Machine Learning and Analytics Group.
November 15, 2021
Wes Bethel and Gunther Weber are part of the Organizing Committee for the SC21 Workshop “In Situ Infrastructures for Extreme-scale Analysis and Visualization (ISAV’21)”, now in its 6th year. More information.
November 14, 2021
Wes Bethel and Burlen Loring are part of an SC21 Tutorial on the subject of HPC In Situ Processing. More information.
October 25, 2021
Work led by Talita Perciano and her summer student Mercy Amankwah promises to advance the field of quantum image processing. More information.
August 30, 2021
Dani Ushizima and her collaborators at ALS receives the Halbach Award for the development of a machine-learning-based application to stabilize the transverse beam size and enhance the photon-beam performance at ALS; read more here.
August 18, 2021
Talita Perciano is being recognized for providing exceptional mentorship to students participating in various internships provided by Berkeley Lab; read more here.
August 2, 2021
Dani Ushizima and the Center for Recognition and Inspection of Cells (CRIC) have taken a major step toward applying machine learning techniques to women’s health: their newly published database of images of cervix cytology offers innovative opportunities for the use of machine learning for biomedical purposes; read more here.
February 12, 2021
Dani Ushizima named one of the 25 Latina in Science for her role in developing algorithms and software for automated cell analysis; read more here.
January 19, 2021
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, 2021
After 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, 2020
Aditi Krishnapriyan joins the Data Analytics and Visualization Group.
October 30, 2019
Neurodata Without Borders Project Wins 2019 R&D100 Award 
(see here
June 4, 2019
NWB 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 Dani 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). 
April 26, 2018
Rübel co-corganizes 5th NWB:N Hackathon.
March 21, 2018
ISAV 2018 will be collocated with SC2018 in Dallas, TX.
December 12, 2017
Beta of Neurodata Without Borders software now available (Read more at the CS web site).
December 1, 2017
Dani Ushizima honored with Director’s Award for Service and Outreach (Read more at the LBL Director’s Awards web site).
November 8, 2017
DAV researchers develop method for finding “finding fingerprints” of scientific images. (Read more at the DOE news page)
June 26, 2017
Weber co-authors EuroVis 2017 best paper (Read the paper: Nested Tracking Graphs, EuroVis 2017).