News

The Hopkins team’s new, open-source software dramatically improves scientists’ ability to detect genetic modifications that control gene activity.

Johns Hopkins and Notre Dame researchers partnered with the National Museum of Natural History to help children hone their online privacy skills.

Get to know Ziang Xiao, who joins Johns Hopkins as an assistant professor of computer science.

New research ditches trial and error for faster, sharper, more trustworthy models.

A record number of computer science students have been selected for the PURA to pursue research of their choosing, guided by a Hopkins mentor.

Johns Hopkins computer scientists designed an interruption-handling system to facilitate more natural conversations with social robots.

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.