
Smarter training for smarter AI
New research ditches trial-and-error for faster, sharper, more trustworthy models.
Recent News
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In this Q&A, incoming assistant professor shares how she became interested in PDEs and what excites her about joining Johns Hopkins.
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Smarter training for smarter AI
CategoriesNew research ditches trial-and-error for faster, sharper, more trustworthy models.
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Seeing Sound
CategoriesAn engineering student’s project explores the math behind FM synthesis to uncover what makes its tones unique.
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Grid Expectations
CategoriesAn engineering student’s project shows how localized energy networks can deliver cheaper, cleaner power to remote communities.
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Johns Hopkins mathematicians introduce ‘multiplayer federated learning,” a new framework that allows independent entities to optimize their own goals while reaching good outcomes.
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Smarter algorithms, less data
CategoriesJohns Hopkins researchers introduce new method to solve complex problems with minimal data, enhancing efficiency across industries.