Johns Hopkins researchers found that algorithms trained on manufactured data can be even better than the real thing for important surgical tasks like X-ray image analysis or giving a robot the ability to detect instruments during procedures.
Recent News
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Johns Hopkins researchers found that algorithms trained on manufactured data can be even better than the real thing for important surgical tasks like X-ray image analysis or giving a robot the ability to detect instruments during procedures.
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Computer scientist Daniel Khashabi discusses the pros and cons of the revolutionary natural-language processing tool—and predicts where it may head in the future.
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Daniel Chong always wanted to be an astronaut and his time at NASA helped him get closer to his goal.
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New Faculty Q&A: Anqi (Angie) Liu
CategoriesGet to know Angie Liu, who joins Johns Hopkins as an assistant professor of computer science.
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Cybersecurity expert Anton Dahbura discusses growing concerns with the popular app, citing potential data theft as a risk to U.S. security
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The new opt-in features protect user data, messages, and photos and signal a positive change in how big tech companies approach consumer privacy, says cryptography expert Matt Green.
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Sabnani is among 169 academic inventors selected for membership into the prestigious society this year.
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In new commentary, researchers explain why developers must tailor AI systems and algorithms to their intended users.
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JHU Radiology Research Day is a place to showcase the research in the Department of Radiology and Radiological Science.
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The map charts a broad expanse of the universe, from the Milky Way to 'the edge of what can be seen'.
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Get to know Daniel Khashabi, who joins Johns Hopkins as an assistant professor of computer science and a member of the Center for Language and Speech Processing (CLSP).
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Craig Jones earns grant to research interventional medicine using AI/ML.