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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.

Concerned by recent trends in natural language processing research, Hopkins computer scientists emphasize the importance of user-centric evaluation methods and contextual awareness.

Johns Hopkins researchers demonstrate the promise of “augmented endoscopy,” a real-time neurosurgical guidance method that uses advanced computer vision techniques.

The achievement could provide a clearer picture of the role the chromosome plays in male-specific development, fertility, and genetically triggered diseases like cancer.

Inspired by journalists, Hopkins researchers discover a new technique to ground a large language model’s answers in reality.

The Annual Meeting of the Association for Computational Linguistics is the top international scientific and professional conference for researchers working in the field of natural language processing and computation.

Hopkins computer scientists propose a simple solution for a common multilingual language model pitfall.

The winning proposals will receive up to $75,000 each to help innovate learning through technology.

Hopkins and NVIDIA researchers teamed up to pioneer Neuralangelo, a revolutionary 3D reconstruction algorithm with applications in VR, autonomous systems, and more.

Mathias Unberath is one of 81 early-career engineers invited to attend the National Academy of Engineering's 2023 Symposium.

Learn more about how recent CS graduate Chinat Yu helps others feel more connected through his podcast and app.

The Google Research Scholar Program supports early-career professors who are pursuing cutting-edge research.