The sustainable method developed by researchers at Johns Hopkins and Microsoft simulates risks within large language models to prevent harm before they go live.
Recent News
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The Conference on Language Modeling is an academic venue focused on the study of language modeling with the goal of creating a community of researchers focused on understanding, improving, and critiquing the development of LM technology.
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Hopkins grad students win big at NexHacks
CategoriesThe students placed first in the Arize AI Sponsor Track, earning them a $1,000 cash prize.
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The forum focuses on advancing networking technology by encouraging innovative cross-domain studies, research, early deployment, and large-scale pilot showcases that address the challenges of future networks and applications for the benefit of society.
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Johns Hopkins researchers develop a novel neural network with the potential to improve sign language processing.
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Battle specializes in unlocking secrets of the human genome, using machine learning to analyze large-scale genomic sequencing data to understand the impact of genetic variation on the human body.
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The sustainable method developed by researchers at Johns Hopkins and Microsoft simulates risks within large language models to prevent harm before they go live.
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What to expect in AI in 2026
CategoriesMark Dredze, a John C. Malone Professor of Computer Science and the director of the Johns Hopkins Data Science and AI Institute, discusses what’s next for AI and what policymakers should keep in mind over the next year.
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The award celebrates unsung heroes within the Hopkins community who have generously shared their time, expertise, and connections to support the professional and career growth of others.
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A massive endeavor including Johns Hopkins researchers and students aims to understand the planet’s most biodiverse habitats.
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New faculty Q&A: Uthsav Chitra
CategoriesGet to know Uthsav Chitra, who joins Johns Hopkins as an assistant professor of computer science.
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With her expertise in machine learning, Alexis Battle is working to sift through vast amounts of genetic and clinical data, revealing hidden patterns that can inform treatment strategies and improve patient care.
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The award comes from Schmidt Sciences’ Humanities and AI Virtual Institute program, which seeks to develop and apply AI to unlock new understandings of human history and culture.