News Center
Computing Sciences’ Deb Agarwal and Kathy Yelick Receive Director’s Awards
Deb Agarwal, head of the Data Science and Technology Department in the Computational Research Division, and Kathy Yelick, former Associate Lab Director for Computing Sciences, will be presented with the Berkeley Lab Citation at 3 p.m. on Thursday, November 12. Read More »
CRD/NERSC-led Paper a Gordon Bell Finalist at SC20
This work demonstrates advances made to the BerkeleyGW code that enables large-scale, excited-state calculations to run in minutes on current HPC systems. Read More »
Berkeley Lab Computing Sciences Goes Virtual at SC20
As they have for nearly three decades, Berkeley Lab Computing Sciences Area staff from the Computational Research Division, ESnet, and NERSC will share their expertise with the global HPC community at SC20. Read More »
QCE20 Best Paper Includes CRD Quantum Expertise
A team of researchers that includes CRD's Costin Iancu was honored with a best paper award at the 2020 IEEE International Conference on Quantum Computing and Engineering. Read More »
Summer Students Tackle COVID-19
As a part of the Computational Research Division’s summer student program at Lawrence Berkeley National Laboratory, four graduate students from the University of California, Davis (UC Davis) researched a method to allow doctors and researchers to use valuable health information in the battle against COVID-19 while also preserving patient privacy in electronic records. Read More »
CRD’s Deb Agarwal Named to Committee to Help Shape California State Water Data Structure
Deb Agarwal, head of the Data Science and Technology Department in Berkeley Lab's Computational Research Division, is one of 11 members named to the inaugural steering committee of the California Water Data Consortium. Read More »
CRD's Ushizima to Discuss Using ML Algorithms to Screen Lung Images for COVID-19
On Friday, Oct. 16, Berkeley Lab scientist Daniela Ushizima will discuss early results of using computer vision algorithms to scan medical images of lungs and automatically identify lesions that could indicate COVID-19 at the 2020 Annual Meeting of the Academic Data Science Association. Read More »
Berkeley Lab AI Autonomously Steers Data Acquisition at Neutron Scattering Facility in France
A self-learning algorithm developed by the CAMERA group at Berkeley Lab has enabled researchers at the Institut Laue-Langevin to for the first time run an autonomous data analysis during a neutron scattering experiment. Read More »
IDAES Honored with R&D100 Award
The U.S. Department of Energy’s Institute for the Design of Advanced Energy Systems (IDAES) is the winner of a prestigious 2020 R&D 100 award, which recognizes the developers of the 100 most technologically significant products introduced into the marketplace in the last year. Read More »
CRD's Silvia Miramontes: Merging Applied Math and Machine Learning for Science
When Silvia Miramontes – one of the newest computer systems engineers in Berkeley Lab’s Computational Research Division – visualizes something, it tends to materialize. Read More »
