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2023 Hopper Fellow Embraces the Challenges of Large-Scale Science

The Future is Bright: CAMERA Mathematics for Accelerating Scientific Discovery

Perlmutter System Played Role in Two 2023 Gordon Bell Prize Winning Projects

The M.O. of ML: Can AI Foundation Models Drive Accelerated Scientific Discovery?

With diverse training data, a versatile neural network model can predict solutions for various equations, adapt to different tasks, even when dealing with equations of varying complexity (such as those with wavy patterns or simpler forms), and scale to meet various downstream needs. Image: Subramanian, Bhimji, Harrington, Morozov, Gholami, Keutzer, Mahoney.

Berkeley Lab CS Area to Share Computing Expertise at SC23

Berkeley Lab CS Area to Share Computing Expertise at SC23

Kathy Yelick Part of ‘I Am HPC’ Plenary Panel at SC23

Kathy Yelick Part of ‘I Am HPC’ Plenary Panel at SC23

Berkeley Lab Leading the Way with New Cybersecurity Projects

Berkeley Lab Leading the Way with New Cybersecurity Projects

Newest Alvarez Fellow Applies Math, Physics, and Quantum Skills to Renewable Energy

Erika Ye, Postdoctoral Researcher, Applied Mathematics & Computational Research, photographed at Lawrence Berkeley National Laboratory, 09/18/2023.

Berkeley Lab Collaborations Help Illuminate Earth's Biodiversity

Shining a light into microbial dark matter expands our understanding of biodiversity on Earth. (Credit: Samantha Trieu/Berkeley Lab)

ESnet Turns on 400G Circuits to Four DOE National Labs, Supercharging Multi-Site Scientific Research

Rendering of ESnet6 showing the locations of the four sites with 400G capability in orange and the two in progress in yellow.

Berkeley Lab to Partner with Jefferson Lab to Build $300+ Million High Performance Data Facility Hub

Berkeley Lab to Partner with Jefferson Lab to Build $300+ Million High Performance Data Facility Hub

2023 Egon Balas Prize Awarded to Berkeley Lab’s Stefan Wild

Stefan Wild
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