Recent News
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Smarter training for smarter AI
CategoriesNew research ditches trial and error for faster, sharper, more trustworthy models.
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A record number of computer science students have been selected for the PURA to pursue research of their choosing, guided by a Hopkins mentor.
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Johns Hopkins computer scientists designed an interruption-handling system to facilitate more natural conversations with social robots.
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Johns Hopkins computer scientists’ new training method, EigenLoRAx, promises to cut the environmental cost of fine-tuning large AI models.
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New research provides first evidence of the use of browser fingerprints for online tracking.
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New faculty Q&A: Michael Oberst
CategoriesGet 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.
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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.
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Johns Hopkins computer science students are fighting back against a job hunter’s worst enemy: the applicant tracking system.
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Don’t scan that scam!
CategoriesQR code fraud is rising, so a Johns Hopkins team built a system to sniff out fakes.
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He assumes the role from Russell Taylor, who stepped down after leading the Laboratory for Computational Sensing and Robotics for over a decade.
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Speak and your X-ray will be imaged
CategoriesResearchers 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.
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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.