Recent News
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The importance of ambiguity
CategoriesJohns Hopkins researchers find that large language models can handle multiple interpretations of the same sentence—but only if they’re told to.
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Smartphone videos are often the first to capture news events. Johns Hopkins researchers are developing a tool to make that footage more searchable and contextualized.
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Johns Hopkins researchers investigate how machine learning classifiers can be made more resistant to adversarial attacks on their input.
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Data gathered using software developed by Johns Hopkins University computer scientists will have “huge implications” for understanding human health and evolution.
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Johns Hopkins and Columbia University computer scientists teamed up to combat the inaccurate correlations that artificial intelligence and machine learning models learn from text data.
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Johns Hopkins computer scientists introduce a new method to reduce the size of multilingual language models.
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Johns Hopkins researchers harness the power of machine learning to develop a first approach to X-ray-guided surgical phase recognition.