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26 postdocs shared 10-minute presentations with an audience of peers, mentors, and coworkers in this day-long event.
A new paper describes how an innovative ML approach can enhance the prognosis and understanding of traumatic brain injury.
Can the open-ended Category 5 communicate the risk of hurricane damage in a warming climate?
As adoption of the Neurodata Without Borders standard grows, training and data sharing opportunities broaden
A leading expert in quantum computing, Bert de Jong discusses why quantum computing matters, where it is today, and the potential of this emerging technology to change science.
Researchers from Berkeley Lab, San Francisco State University, and Case Western Reserve University recently published two papers representing significant strides in understanding and harnessing current quantum devices for data encoding, processing, and visualization.
Berkeley Lab’s David Brown has been honored with a 2024 SIAM Prize for Distinguished Service to the Profession for his decades of commitment to enriching the computational science community.
Berkeley Lab’s Chao Yang has been named a 2024 SIAM fellow for contributions to the development of novel algorithms and software for eigenvalue problems, as well as applications of algorithms and software to solve challenging scientific problems.
Data management researchers in Berkeley Lab's Scientific Data Division are using artificial intelligence methods to automatically diagnose I/O performance bottlenecks in HPC applications at the job level.
To help support software engineers in academia and science, the U.S. Research Software Engineer Association has made it its mission to mount a community-driven effort focused on the increasingly important role of RSEs. Berkeley Lab is getting involved as well.
STRUDEL, an emerging open-source science project at Berkeley Lab, is hosting a webinar and a hackathon in March to introduce software teams to a new user experience/user interface design tool that addresses the challenges of creating usable scientific software and puts user engagement at the forefront.
SciData transforms data-driven discovery and understanding through the development and application of novel data science methods, technologies, and infrastructures with scientific partners.
The Applied Mathematics & Computational Research Division conducts research and development in mathematical modeling and simulation, algorithm design, data storage, management and analysis, computer system architecture, and high-performance software implementation.
The Center for Advanced Mathematics for Energy Research Applications (CAMERA) is an integrated, cross-disciplinary center aimed at inventing, developing, and delivering the fundamental new mathematics required to capitalize on experimental investigations at scientific facilities.
The Quantum Systems Accelerator is catalyzing national leadership in quantum information science to co-design the algorithms, quantum devices, and engineering solutions needed to deliver certified quantum advantage in Department of Energy scientific applications. Berkeley Lab leads the center. Sandia National Laboratories is the lead partner.
