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Computer science teams tackle critical gaps in EMS training and mass casualty response with innovative digital platforms

Engineering instructor and former NSA strategist Russ Berkoff discusses how artificial intelligence could prevent – or escalate – international foreign relations crises

In their quest to develop a co-creative AI partner, Johns Hopkins computer scientists discover valuable insights about the limitations and ethical considerations of current generative AI models.

A Johns Hopkins team unveils surgical AI’s secret weapon—a splash of fluorescent paint.

New research shows body recognition systems rely heavily on BMI, raising questions about accuracy

Hopkins engineers combine AI and robotics to charge up research and accelerate the discovery of new materials for renewable energy storage

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

Multi-modal training promises smarter, safer robotic surgery

New tool tests AI models on everything from identifying faces to detecting biases in facial data

Johns Hopkins researchers developed a novel dataset to examine how cognitive biases influence AI's diagnostic abilities in medicine

A new study by Hopkins researchers finds that doctors’ diagnostic performance and trust in AI advice depends on how the AI assistant explains itself.

Johns Hopkins researchers successfully taught an AI simulation to close incisions by breaking the complicated suturing process down into simpler subtasks.