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The renowned expert in technology, law, and institutional economics, leads research to reimagine how systems can evolve to meet the demands of a changing world and emerging technologies

Johns Hopkins computer scientists’ new training method EigenLoRAx promises to cut the environmental cost of fine-tuning large AI models.

Johns Hopkins researchers show how different “odds” can teach AI models to admit when they’re not confident enough in an answer.

Johns Hopkins computer science students are fighting back against a job hunter’s worst enemy: the applicant tracking system.

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

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

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