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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 Kathy Yelick Part of ‘I Am HPC’ Plenary Panel at SC23 Berkeley Lab Leading the Way with New Cybersecurity Projects Erika Ye, Postdoctoral Researcher, Applied Mathematics & Computational Research, photographed at Lawrence Berkeley National Laboratory, 09/18/2023. Shining a light into microbial dark matter expands our understanding of biodiversity on Earth. (Credit: Samantha Trieu/Berkeley Lab) 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 Stefan Wild
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