Optimization Theory and Perspectives on the Field of Machine Learning Get InvolvedConferencesResearchInsightsCommentarySIAM Newssiam.org FeedsData ScienceOptimization An impressive array of theoretical results in optimization have been motivated by machine learning.
When Data Meets Diversity ResearchInsightsCommentarySIAM Newssiam.org FeedsData Science Data science is helping to quantify the underrepresentation of women and people of color in art museums.
Scale-bridging with Machine Learning to Characterize Brittle Damage and Failure ResearchInsightsCommentarySIAM Newssiam.org FeedsMathematical Aspects of Materials Science Researchers are using machine learning techniques to understand the mechanisms that make brittle materials fail.
A Simple Derivation of Heron’s Formula ResearchInsightsCommentarySIAM Newssiam.org FeedsApplied Geometry Mark Levi presents a straightforward method for deriving Heron's formula, which gives the area of a triangle.
Can Scientific Computing and Combinatorial Mathematics Work Together? Get InvolvedConferencesResearchInsightsCommentarysiam.org FeedsComputational Science & Numerical Analysis The 2020 SIAM Workshop on Combinatorial Scientific Computing took place earlier this year in Seattle, Wash.