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Additional anthropogenic flooding: Each hexagonal bin symbolizes the upper limit of the number of residential buildings that would not have flooded without the added impact of climate change in Harris County, Texas, during Hurricane Harvey in 2017. (Credit: Smiley, K.T., Noy, I., Wehner, M.F. et al. Social inequalities in climate change-attributed impacts of Hurricane Harvey. Nat Comm 13, 3418, 2022. https://doi.org/10.1038/s41467-022-31056-2) 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 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) Stefan Wild Collage Grid Alvarez Scholar
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