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Machine Learning Opens New Doors in Traumatic Brain Injury Research

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)

Former CS Area Intern Wins Student Research Award at SC23

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

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 Leading the Way with New Cybersecurity Projects

Berkeley Lab Leading the Way with New Cybersecurity Projects

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

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

Alvarez Fellows: Outstanding in their Fields

Collage Grid Alvarez Scholar

Engaging Neuroscience Community Remains Top of Mind for Neurodata Without Borders Team

The NWB User Days events focus on user training, while the NWB Developer Days bring together neuroscientists, tool builders, and research software engineers to further the development of the NWB software ecosystem. Credit: Oliver Rübel

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.

Ana Kupresanin Tapped to Lead Berkeley Lab's Scientific Data Division

Newly appointed SciData Division Director Ana Kupresanin takes the helm in early October.

Data Processing Pipeline Transforms Planck Mission Discovery

Berkeley Lab’s Reijo Keskitalo Accepts NASA Exceptional Public Achievement Medal (credit: Petra Keskitalo)
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