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Berkeley Lab Researchers Evaluate Generative AI Models for Filling Scientific Imaging Gaps

A comparative infographic showcasing the results of different generative AI models in creating scientific images. The infographic is divided into three vertical sections, labeled 'Ceramics,' 'Plants,' and 'Rocks.' Each section contains a grid of images comparing a 'Raw' scientific source image to AI-generated versions created by models including DCGAN, StyleGAN, DALL-E2, and DALL-E3. The 'Ceramics' section shows microscopic views of packed particles, the 'Plants' section displays images of seedlings and root systems, and the 'Rocks' section features grayscale micro-scans of rock sediment, illustrating the varying success of different AI models in reproducing scientifically accurate images.

Happy Holidays from Berkeley Lab’s Computing Sciences Area

Decorative image with holly berries and leaves and the text "Happy Holidays from Berkeley Lab's Computing Sciences Area"

NERSC Network Upgrades Pave the Way for a Faster Future

NERSC Co-Hosts HPC Bootcamp to Train Next-Gen Computational Scientists

New AI Model Advances Long-Term, Multi-Scale Prediction of Complex Physical Systems

Four-panel visualizations for three different physical systems are arranged in three rows, labeled (a), (b), and (c). Each row corresponds to a specific system: (a) plasma turbulence (MHD), (b) fluid flow (Navier-Stokes), and (c) shallow-water dynamics. Within each row, the panels display (from left to right): the ground truth state, the StFT-F model prediction, the spatial distribution of prediction error (residual), and the predicted uncertainty. Colorbars beside each panel indicate the value ranges, with red and blue representing positive and negative values. The visualizations show that areas with higher errors generally coincide with regions of higher predicted uncertainty.

Doudna Storage Partnership Recognized with HPCWire Editors' Choice Award

HPSF Receives HPCwire Readers’ Choice Award for Best Collaboration

Digital simulation generated with the WarpX code depicts blue and yellow shockwaves against a black background.

Unprecedented Perlmutter Simulation Details Quantum Chip

Berkeley Lab Hosts SIAM NCC25

A large group of people pose together for a group photo in front of a modern building labeled "SHYH WANG HALL 59." The group is diverse, including men and women of various ages, and some people are wearing conference badges. The photo was taken on a sunny day, and the building features large windows and gray metal paneling.

NERSC Supports Gordon Bell Prize Winner and Finalist

A group of individuals stands on a stage beneath a large "SC25" sign with a purple dynamic background; several people hold award certificates, and others stand in formal or business attire.

Connect with Berkeley Lab Experts at SC25!

Logo for SC25, the 2025 International Conference for High Performance Computing, Networking, Storage, and Analysis. The logo features abstract purple and blue flame shapes to the left of bold black text reading "SC25." Below this, smaller text reads "St. Louis, MO" and "hpc ignites." with "hpc ignites." in light blue.

Berkeley Lab’s John Shalf Recognized with 2025 Seymour Cray Award for Outstanding Contributions to HPC

Two people in suits stand on a stage, with one handing an award plaque to the other. A large screen in the background displays the recipient's name and job title along with the name of their institution.
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