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A project headed by Johns Hopkins Computer Science faculty has been selected to receive $750,000 for its potential to accelerate AI-driven scientific discovery.

The award recognizes his work on UNet++, now the most cited paper in the journal’s recent history and a standard tool in medical image analysis.

The Summer PURA program aims to assist and encourage Hopkins undergraduate students to continue or begin independent research without curricular obligations inhibiting their full-time effort.

Michael Oberst, Chien-Ming Huang, and other CS faculty members recently participated in the first in-person convening of the Johns Hopkins Workgroup on AI and Healthcare.

The International Conference on Robotics and Automation is the Institute of Electrical and Electronics Engineers Robotics and Automation Society’s flagship conference, gathering the world’s top researchers and industry leaders to share ideas, exchange knowledge, and advance the field of robotics for the benefit of humanity.

His proposed seminar series at the Hopkins Bloomberg Center will explore the advantages, risks, and governance of AI-driven digital twins in healthcare.

The Spring 2026 features Anton Dahbura, Mark Dredze, and more.

Their work, which proves that in-context learning is not tied to language, appears in Transactions on Machine Learning Research.

The recent alums developed the app for their CS Innovation & Entrepreneurship course and presented their final product at JHU’s annual startup competition, Hopstart.

The annual award from the International Congress for Basic Science recognizes top research in mathematics, physics, and theoretical computer and information sciences.

The AI system detects deadly infections faster than doctors, saving thousands from a condition that claims more than 250,000 lives each year in the U.S.

First-year PhD student Laura Fleig was selected for a 2026 National Science Foundation Graduate Research Fellowship.