Recent News
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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.
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In this Q&A, Professor Edward Scheinerman discusses his newly published book, which focuses on the foundational nature of real numbers and their complexities.
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Department student and faculty members receive the 2024 Best Paper Award at the 38th Neural Information Processing Systems (NeurIPS) Conference.
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Adrian Severino and the Miraheart Team leverage light and simulation to revolutionize infant heart monitoring.
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Hélyette Geman's newly published book, Investing with Art, delves into art's economic, cultural, and emotional dimensions in a rapidly evolving world.