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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.

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.

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

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

Mark Dredze, associate professor of computer science, discusses BloombergGPT, the first large language model built specifically for the finance industry.

Researchers use artificial intelligence to analyze thousands of posts on the popular online forum, gaining valuable insights into how people think about vaping.

A new study finds ChatGPT outperforms human physicians in quality and empathy of responses to patient concerns.

Tech and law experts creating software that could solve a billion-dollar problem.

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.

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.