News

Johns Hopkins computer scientist Mathias Unberath, a leading expert in AI-assisted medicine, says cuts to research funding imperil the nation’s ability to attract the world’s best and brightest scientists.

Johns Hopkins researchers used artificial intelligence to create the largest, most comprehensive dataset of abdominal organs to date to help radiologists quickly and accurately identify tumors and other diseases.

Johns Hopkins faculty members Gillian Hadfield and Mark Dredze joined veteran tech journalist Kara Swisher and Humane Intelligence founder and CEO Rumman Chowdhury for a wide-ranging discussion.

Get to know Jessica Sorrell, who joins Johns Hopkins as an assistant professor of computer science.

Johns Hopkins computer scientists explore how gendered voice assistants influence user behavior.

A new tool analyzes and addresses cultural disparities across language versions, paving the way for more balanced information.

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

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.

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

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

At a recent Johns Hopkins briefing, Russell Taylor and Mathias Unberath explored the evolving role of robotics and artificial intelligence in surgery.