News

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

“Reasoning-Centered AI for Scientific Discovery" will help researchers uncover hidden connections across scientific literature.

Letting data centers flex their power use—not just building more supply—could dramatically lower electricity costs.

Johns Hopkins Artificial Intelligence and Technology Collaboratory for Aging Research awards grants to research teams across the country in its fifth round of funding

Mark Dredze, director of the Johns Hopkins Data Science and AI Institute discusses what’s next for AI and what policymakers should keep in mind over the next year.

Johns Hopkins team uses AI to uncover cheaper, more accessible alternatives to platinum for hydrogen fuel.

With her expertise in machine learning, Alexis Battle is working to sift through vast amounts of genetic and clinical data, revealing hidden patterns that can inform treatment strategies and improve patient care.

Doctors too busy? AI offers med students real-time expert feedback.

The Johns Hopkins Turbulence Database from mechanical engineering and the Phase-Field Fracture Simulation Dataset from civil and systems are two of 10 chosen by NSF to train AI

A Johns Hopkins study reveals the strengths and pitfalls of incorporating chatbots into middle and high school classrooms as a "co-tutor."

Seven JHU doctoral candidates studying machine learning, computer vision, and natural language processing receive two-year fellowships

Dredze, a member of JHU's faculty since 2009, selected to lead institute dedicated to harnessing the power of artificial intelligence to translate data-driven discovery into real-world impact