News

New research ditches trial-and-error for faster, sharper, more trustworthy models.

In this Q&A, Nikhil Rammohan ’09 shares how a foundation in statistics led him to impactful cancer research.

An engineering student’s project explores the math behind FM synthesis to uncover what makes its tones unique. 

Johns Hopkins mathematicians introduce ‘multiplayer federated learning,” a new framework that allows independent entities to optimize their own goals while reaching good outcomes.

Innovation could accelerate research into how HIV affects memory and thinking.

Johns Hopkins researchers introduce new method to solve complex problems with minimal data, enhancing efficiency across industries.

Adrian Severino and the Miraheart Team leverage light and simulation to revolutionize infant heart monitoring.

Researchers use advanced models to uncover critical thresholds in global ocean circulation, highlighting potential climate impacts.

New model predicts how much time proposed rail line could save commuters.

Engineering student’s model could give faster turns the green light.

New approach could help powerful AI models create realistic content using less energy.

Johns Hopkins team develops a dimension-agnostic method for machine learning.