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Berkeley Lab Machine Learning Experts Share Exciting Scientific Developments at NeurIPS 2023

2023 Hopper Fellow Embraces the Challenges of Large-Scale Science

The Future is Bright: CAMERA Mathematics for Accelerating Scientific Discovery

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.

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

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

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)

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

Stefan Wild

Berkeley Lab Computing Sciences Staff Honored with Seven Director’s Awards for Exceptional Achievement

Alvarez Fellows: Outstanding in their Fields

Collage Grid Alvarez Scholar

Future of HPC Takes Shape in Monterey

Monterey played host to the annual Monterey Data Conference, where leaders in data science gather to exchange ideas about the future of computing.

Epidemiological Modeling in the Exascale Era

Creative artwork featuring colorized 3D prints of influenza virus (surface glycoprotein hemagglutinin is blue and neuraminidase is orange; the viral membrane is a darker orange)
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