News

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

New research provides first evidence of the use of browser fingerprints for online tracking.

Get to know Michael Oberst, who joins Johns Hopkins as an assistant professor of computer science and a member of the Malone Center for Engineering in Healthcare.

Feeling uneasy about the rise of AI? Microsoft data scientist and JHU CS alum Juan M. Lavista Ferres finds virtue in the technology and is more bullish about than bullied by its rise.

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

QR code fraud is rising, so a Johns Hopkins team built a system to sniff out fakes.

He assumes the role from Russell Taylor, who stepped down after leading the Laboratory for Computational Sensing and Robotics for over a decade.

Researchers from the Johns Hopkins University’s ARCADE Lab present the voice-controlled X-ray imaging system that earned a Best Paper Award at IPCAI 2025.

He received both a Distinguished Paper Award and a Test of Time Award at the premier forum for presenting developments in computer security and electronic privacy.

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.