Archived articles

Machine learning

Biomedical engineering
New tools map seizures in the brain, improve epilepsy treatment
Published Nov 29, 2022
Two new models could solve a problem that's long frustrated millions of people with epilepsy and the doctors who treat them: how to find precisely where seizures originate to treat exactly that part of the brain.
Women in STEM
Johns Hopkins PhD student named Apple Scholar
Published May 25, 2022
Elizabeth Salesky, a third-year computer science PhD student, was named an Apple Scholar, receiving support for her research and academic travels
Sustainability
Researchers will use power of AI to optimize materials for solar energy
Published Nov 5, 2021
SPIRAL Center is one of 10 projects to receive support from Department of Energy initiative focused on the development of low-cost energy technologies
Cancer research
Pioneering method examines how immunotherapy changes tumors
Published Oct 13, 2021
The non-invasive technique using an optical probe provides early signs of how a tumor is responding to treatment
Technology
Learn like us
Published June 11, 2019
Students teach computers to learn like humans and to tackle problems once considered too complex for computers to solve
Machine Learning
AI for eyes
Published July 31, 2018
Hopkins researchers chart a course for using artificial intelligence to diagnose degenerative eye conditions
Computer, P.I.
Published Spring 2018
If computers could analyze the contexts and relationships of photographs, videos, audio, text documents, and internet activity, they could become digital detectives / Johns Hopkins Magazine
Say what?
Lost in translation
Published Oct 9, 2017
Johns Hopkins team receives $10.7M grant to build machine translation system for obscure languages
Appointment
Big data expert Mauro Maggioni named BDP
Published April 14, 2016
Maggioni, who joins JHU from Duke, becomes 20th Bloomberg Distinguished Professor
Computer Science
Talk to me
Published Spring 2014 Video
Computer engineers are trying to teach computers to process language, beyond just lines of code / Johns Hopkins Magazine