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Taking Big Steps, Berkeley Lab Scientists Shape Improvements in Topological Optimization
Berkeley Lab scientists have developed a faster method for topological data analysis, improving efficiency in uncovering hidden structures in complex datasets. This breakthrough could transform data analysis in fields like machine learning and biology. Read More »
Berkeley Lab Researchers Help Accelerate Fusion Progress Through Machine Learning Algorithms
A collaboration among Berkeley Lab researchers and others has led to the development of ML models that enable real-time predictions of particle heating in fusion plasmas, potentially transforming how researchers conduct physics experiments.
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Stefan Wild Named 2025 SIAM Fellow
Stefan Wild has been named a 2025 SIAM Fellow. This recognition celebrates his groundbreaking work in derivative-free optimization, which has made significant impacts across multiple scientific and engineering disciplines. Read More »
Berkeley Lab Joins Forces with HPSF to Drive HPC Innovation
By becoming an institutional member of HPSF, Berkeley Lab is reinforcing its commitment to scientific software stewardship and fostering collaborations that shape the future of high-performance computing. Read More »
2025 CSA Postdoc Symposium Spotlights Innovation from Early Career Researchers
Each year, the Computing Sciences Area Postdoc Symposium provides a platform for early-career researchers to showcase their cutting-edge work while honing their communication skills. With mentorship, training, and an engaged audience, the event helps postdocs refine their presentations and build confidence for the next steps in their careers. Read More »
