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Can CT Scans Be Used to Quickly and Accurately Diagnose COVID-19?
Berkeley Lab data scientist Daniela Ushizima is exploring whether image recognition algorithms and a data analysis pipeline can help accurately distinguish COVID-19 abnormalities in CT scans and chest X-rays from other overlapping respiratory illnesses. Read More »
CS Area’s 2020 Summer Student Program Goes Virtual
Like many organizations adjusting to a changing work environment during the COVID-19 pandemic, Berkeley Lab’s Computing Sciences Area is transforming its 2020 summer student program into an entirely virtual experience. Read More »
Computing Sciences Welcomes New Alvarez Fellow, Aditi Krishnapriyan
A long-distance runner for many years, Aditi Krishnapriyan – the latest postdoctoral researcher to be awarded the prestigious Alvarez Fellowship – brings a well-honed energy and intensity to her new position in the Computational Research Division. Read More »
NERSC One of Early Adopters of New GPU Processor
The next-gen Perlmutter supercomputer will enhance simulation, data processing, and machine learning applications for NERSC's diverse science user community. Read More »
NERSC’s Katie Antypas Steps Into New Role at Exascale Computing Project
NERSC's Katie Antypas will serve as ECP's new Director for the Hardware & Integration Focus Area Read More »
Machine Learning Could Provide Unexpected Scientific Insights into COVID-19
A new text-mining tool developed at Berkeley Lab and supported by NERSC supercomputing resources is using natural language processing techniques that could yield unexpected scientific insights into COVID-19. Read More »
3D Simulations Reveal Physics of Superluminous Supernovae
For the first time ever, an international team of astrophysicists simulated the 3D physics of superluminous supernovae—which are about a hundred times more luminous than typical supernovae—with NERSC supercomputers and the CASTRO code. Read More »
Harnessing the Power of Exascale for Wind Turbine Simulations
ExaWind, a DOE Exascale Computing Project, is developing new simulation capabilities to more accurately predict the complex flow physics of wind farms, and Berkeley Lab is bringing its adaptive mesh refinement expertise to the project to help make this happen. Read More »
NERSC’s Scientific Computing Power Steps into Coronavirus Battle
Researchers from the City of Hope’s Beckman Research Institute and the Translational Genomics Research Institute will use NERSC computing resources to help battle the COVID-19 global pandemic. Read More »
NERSC, ESnet Continue to Deliver Supercomputing, Networking Support for Nation’s Scientists During Pandemic
While people around the world hunker down in their homes to try to slow the advance of the COVID-19 virus and many services have decreased or stopped, NERSC and ESnet continue to provide critical computing and networking resources to thousands of scientists, including some who are exploring ways to fight the pandemic. Read More »