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TBI patient outcomes can be predicted from patient intake data with a high degree of precision by applying a novel combination of non-parametric unsupervised and supervised machine learning. Left: Fold-over-chance accuracy of predicting outcomes into a different number of clusters. Right: Two-dimensional UMAP (Uniform Manifold Approximation and Projection) embedding clustered into 19 clusters. (Credit: Andrew Tritt and Kristofer Bouchard, Lawrence Berkeley National Laboratory) Hurricane Patricia Bears Down on Mexico's Pacific Coast on October 23, 2015. Image Credit: NASA Goddard Spaceflight Center The Cray-1 sold for about $8 million in 1978 (around $38 million in inflation-adjusted dollars). This photograph of Neptune, one of the ice giant planets addressed in a paper recently published by researchers at UC Berkeley, was reconstructed from two images taken by NASA Voyager 2. Credit: NASA Reconstructions of a material sample from a sparse set of projection data using TomoCAM, conventional MBIR, and direct approximation methods. TomoCAM delivers higher-quality reconstructions compared to direct approximation methods while being 15 times faster than conventional MBIR methods. NERSC has come a long way since its founding in 1974 with a single CDC 6600 system. 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)
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