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The prize recognizes PhD students who exemplify Robbins’ legacy through their outstanding achievement in high-performance computing.

A research team including Ziang Xiao has found that popular large language models like GPT-4 cannot yet accurately simulate the real world.

A Johns Hopkins-led interinstitutional research team will develop a novel photoacoustic endoscope and fluorescent contrast agent to ensure total tumor removal and preservation of healthy tissue.

Inspired by human learning patterns, Johns Hopkins computer scientists have developed a new technique to train AI models on massive amounts of medical data without forgetting what they’ve already learned.

For 10 weeks this summer, participating students worked 40 hours a week at nonprofits, government agencies, and companies around the city.

The award from the Department of Defense’s Prostate Cancer Research Program will support Yixuan Wu in developing an economical imaging approach to enable the early detection of aggressive prostate cancer.

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

Ilya Shpitser fixes common problems found in datasets so that researchers can use them to draw accurate conclusions.

Johns Hopkins experts including John C. Malone Professor of Computer Science Mark Dredze recently briefed policymakers about the potential of AI to advance everything from national security to medicine.

Johns Hopkins researchers determine that explanations and examples improve clinicians’ trust in an AI system that assists with remote strep diagnosis.

Researchers unveil a groundbreaking method to protect question-answering systems from disinformation.

The fourth-year undergraduate is using her Provost’s Undergraduate Research Award and Vredenburg Travel Fund award to promote cervical cancer awareness in rural India.