News

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.

Johns Hopkins team develops a way to personalize antiretroviral therapy to reduce side effects.

3D printed objects help students visualize complex concepts.

Luana Ruiz, a mathematician at Johns Hopkins, leads team in efficient and cost-effective approach for graph neural networks, unveiling a novel method to teach computers with small data samples.