News

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

SafeTraffic Copilot, created by Johns Hopkins team, aims to provide experts with crash analyses and predictions to reduce the rising number of fatalities and injuries that happen on U.S. roads each year

Johns Hopkins scientists develop method to render Earth-based images as clear as those taken from space.

Robot-assisted surgery, an app for diagnosing strep throat, and a new tool to detect glaucoma are all on the health care horizon.

Johns Hopkins professor Kamal Choudhary has created a new AI tool for materials scientists, providing accurate answers to complex questions in the field.

Partnership includes Johns Hopkins researchers developing AI-powered cancer care