Recent News
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The fellowship—established to foster advanced level research in modeling, simulation, and training—will support Benjamin Killeen’s research on simulating “digital twins” of AI- and robot-assisted operating rooms.
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Researchers use artificial intelligence to analyze thousands of posts on the popular online forum, gaining valuable insights into how people think about vaping.
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A new study finds ChatGPT outperforms human physicians in quality and empathy of responses to patient concerns.
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The fellowship, which recognizes emerging leaders in computer science and engineering, will support Yutong Bai's research on computer vision.
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Tech and law experts creating software that could solve a billion-dollar problem.
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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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In new commentary, researchers explain why developers must tailor AI systems and algorithms to their intended users.
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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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Researchers present AI Labeling of Brain Activity at International Symposium on Visual Computing
CategoriesHopkins researchers present at the 17th International Symposium on Visual Computing (ISVC'22).
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The research team has received funding from the Retina Society to automate the early detection of sickle cell retinopathy.
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The new system identifies patients at risk for the illness, which is notoriously difficult to detect and develops quickly