Recent News
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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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Misha Kazhdan's new Distributed Poisson Surface Reconstruction algorithm shares its computational load across PCs to deliver fast, accurate, and watertight reconstructions.
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Concerned by recent trends in natural language processing research, Hopkins computer scientists emphasize the importance of user-centric evaluation methods and contextual awareness.
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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.
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Inspired by journalists, Hopkins researchers discover a new technique to ground a large language model’s answers in reality.
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Lost in translation no more: Researchers unveil advancement in multilingual text generation
CategoriesHopkins computer scientists propose a simple solution for a common multilingual language model pitfall.
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Hopkins and NVIDIA researchers teamed up to pioneer Neuralangelo, a revolutionary 3D reconstruction algorithm with applications in VR, autonomous systems, and more.
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Mark Dredze, associate professor of computer science, discusses BloombergGPT, the first large language model built specifically for the finance industry.
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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.