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Machine Learning Opens New Doors in Traumatic Brain Injury Research
In a paper published in Nature Scientific Reports, researchers from Berkeley Lab, UCSF, the Medical College of Wisconsin, and UC Berkeley – in conjunction with the TRACK-TBI collaboration – describe how an innovative machine learning approach can enhance the prognosis and understanding of traumatic brain injury and other complex medical conditions.
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In a Warming World, Climate Scientists Consider Category 6 Hurricanes
As increasing ocean temperatures contribute to more intense and destructive hurricanes, climate scientists wonder whether the open-ended Category 5 on the Saffir-Simpson Windscale is sufficient to communicate the risk of hurricane damage in a warming climate. Read More »
50 Years of NERSC Firsts
A team of researchers from Berkeley Lab’s CAMERA developed a new tomographic reconstruction algorithm, TomoCAM, that leverages advanced mathematical techniques and GPU-based computing. Their method set a new world record by surpassing the speed of existing state-of-the-art iterative tomographic reconstruction algorithms. Read More »
Perlmutter Provides Peek into Interior of Ice Giant Planets
Researchers at UC Berkeley used the Perlmutter supercomputer at NERSC to make progress toward a better understanding of chemistry inside ice giant planets, a step forward for planetary science that may also have applications on Earth. Read More »
New Tomographic Reconstruction Algorithm Developed at Berkeley Lab Sets World Record
A team of researchers from Berkeley Lab’s CAMERA developed a new tomographic reconstruction algorithm, TomoCAM, that leverages advanced mathematical techniques and GPU-based computing. Their method set a new world record by surpassing the speed of existing state-of-the-art iterative tomographic reconstruction algorithms. Read More »
NERSC Celebrates 50 Years in 2024
In 2024, NERSC will celebrate the latest of many milestones: 50 years of service to the global science community. Read More »
Berkeley Lab Researchers Publish Pioneering Book on Autonomous Experimentation
Just as auto-complete was revolutionary for text composition, autonomous experimentation will change how experiments are performed. Berkeley Lab’s Marcus Noack and Daniela Ushizima published the first-ever book dedicated to this topic. Read More »