In This Issue
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Analysis of biological networks can yield powerful insights into important problems in functional genomics.
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Why does deep learning lead to unstable methods, even when we can prove that stable and accurate neural networks exist?
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Researchers must balance publishing enough data to verify their conclusions with protecting participant privacy.
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The RKFIT method for nonlinear rational approximation is a core algorithm in the MATLAB Rational Krylov Toolbox.
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Conferences and Events
Anticipating the 2023 SIAM Conference on Computational Science and Engineering in Amsterdam
CSE23 will facilitate discussions about a variety of large-scale problems in computational science and engineering.
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The fiscal year 2022 spending package includes moderate funding increases for multiple agencies that support applied mathematics.
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Paul Davis reviews The Man from the Future, a biography of John von Neumann by Ananyo Bhattacharya.
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The John von Neumann Prize is one of many connections between SIAM and the esteemed mathematician.
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Interviews and Q&As
A Firsthand Look at the Novel Ph.D. Program in Mathematical Modeling at Rochester Institute of Technology
RIT's Ph.D. program in mathematical modeling exposes students to a variety of classes and research experiences.
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The Pacific Northwest region of North America is home to a thriving applied mathematics community as well as the PNW Section of SIAM.
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Mark Levi describes a point that is lost in standard treatments of the Lagrange top.
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