Recent News
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The two-day event featured various challenges across a range of topics including web security, cryptography, forensics, and exploitation.
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Johns Hopkins researchers show that large language models can generate realistic patient data for training AI models without compromising individual privacy.
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This year’s results mark Hopkins’ best-ever performance in the Raymond James Capture the Flag cybersecurity challenge.
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The prize recognizes PhD students who exemplify Robbins’ legacy through their outstanding achievement in high-performance computing.
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Signs of change
CategoriesPhD student Xuan Zhang is researching sign language recognition and translation tasks with the aim of developing a large vision-language model capable of translating signed words into spoken language.
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PhD student Neha Verma reflects on her internship with Meta’s Fundamental AI Research team.
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These projects include technology and non-technology components and are informed by guidance from faculty and industry mentors.