In This Issue
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Inverse problems are growing in influence, leading to associated questions of reliability and trustworthiness for learning algorithms.
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The persistence of skill can serve as a metric for the placement of athletic competitions on the skill-luck spectrum.
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The SIAM Science Policy Fellowship Program offers an invaluable opportunity to influence key decisions in U.S. federal policy.
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With a data-driven topology, the weak form can offer surprising noise robustness, accuracy, and computational efficiency.
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One can engineer a nonmagnetic photonic crystal in which photons of light move much like electrons under the influence of a magnetic field.
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50 graduate students from around the world converged in Quito, Ecuador, for the 2024 Gene Golub SIAM Summer School.
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A multitude of jobs in academia, industry, and the national labs apply mathematical methods to environmental research.
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John Jungck reviews "Teaching with AI: A Practical Guide to a New Era of Human Learning" by José Antonio Bowen and C. Edward Watson.
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From the SIAM Bookshelf
Understanding Jupyter as a Valuable Student Resource for Computational Discovery
"Computational Discovery on Jupyter" uses Python to expose students to mathematical ideas outside of the standard curriculum.
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The meeting of the Chinese Academy of Sciences SIAM Student Chapter explored computational mathematics and its real-world applications.
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