Recent News
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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.
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Putting trust to the test
CategoriesHopkins researchers unveil new uncertainty quantification methods in an effort to promote appropriate trust in AI use.
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Johns Hopkins researchers demonstrate the promise of “augmented endoscopy,” a real-time neurosurgical guidance method that uses advanced computer vision techniques.
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The achievement could provide a clearer picture of the role the chromosome plays in male-specific development, fertility, and genetically triggered diseases like cancer.