News

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

Winning projects—chosen from 274 proposals—include 150 individuals from across the university.

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

Blue Jay Racing achieved a breakthrough third-place finish while developing self-driving technology for its off-road competition vehicle.

Hadfield, a 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 tackle a sometimes dangerous language model flaw that misunderstands words like “don’t” and “no.”

In a new course, students prepare for the FDA’s ramped-up security requirements for insulin pumps, pacemakers, and other wearables.

Genome annotation is falling behind how fast genomes can be assembled—but Johns Hopkins researchers have created a tool that can change that.

Recent capstone projects targeted vulnerabilities in AI systems and smart devices.

Researchers from the Department of Computer Science will present groundbreaking work at the IEEE/CVF Computer Vision and Pattern Recognition Conference, the premier annual computer vision event.

Teams from across the university pitched plans for an AI platform to cut medical bills, a navigational system for people with blindness or low vision, and more.

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.