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The new clusters will advance interdisciplinary research efforts at the Johns Hopkins University’s Data Science and AI Institute.

The AI2050 program recognizes scholars working to create artificial intelligence for a better world.

Johns Hopkins researchers show that large language models can generate realistic patient data for training AI models without compromising individual privacy.

MaKhaila Bentil, a first-year PhD student in the Department of Computer Science, was selected to join the third cohort of the prestigious Vivien Thomas Scholars Initiative.

An AI model created by Johns Hopkins computer scientists imagines in-depth scenarios based on a single image to make informed decisions about the world.

Bestowing machines with the ability to perceive the physical world as humans do has been a career-long mission of Alan Yuille, a pioneer in the field of computer vision.

Johns Hopkins researchers used betting strategies to help clarify AI models’ decision-making processes.

Upsilon Pi Epsilon recognizes academic excellence and promotes scholarship, leadership, and professionalism among students in computer science and related fields.

A recent innovation from Johns Hopkins researchers enables deeper insights into gene function and disease-linked mutations.

Drew Prinster, Yiqing Shen, and Yunjuan Wang were selected based on their outstanding publication records, research proposals, and mentor support.

The annual list from Clarivate Analytics recognizes researchers whose publications rank in the top 1% of citations.

The grants’ goal is to bring together diverse, multidisciplinary teams, leveraging the integration of AI and data science to tackle pressing challenges across disciplines.