By Dino Lencioni Johns Hopkins electrical engineer Mounya Elhilali relies on federal funding to push the boundaries of how technology can enhance human perception With support from the National Institutes of Health, Johns Hopkins electrical and computer engineer Mounya Elhilali is developing a smart digital stethoscope aimed at revolutionizing pulmonary diagnostics—particularly pediatric diagnostics that would help prevent […]

Read More

Berrak Sisman joined Johns Hopkins this month as an assistant professor in the Whiting School of Engineering’s Department of Electrical and Computer Engineering and a member of the AI-X Bloomberg Distinguished Professorship Cluster. She leads the Speech & Machine Learning (SMILE) Lab,  advancing neural models for speech information processing. Internationally recognized for her work in deep learning, speech synthesis, […]

Read More

By Dino Lencioni New tool analyzes and addresses cultural disparities across language versions, paving the way for more balanced information Cultural and social biases significantly influence Wikipedia’s multilingual content, according to a team of researchers that includes a computer scientist from Johns Hopkins University. By creating and deploying a new tool called INFOGAP, the researchers […]

Read More

The AI2050 program recognizes scholars working to create artificial intelligence for a better world. Anjalie Field, an assistant professor of computer science and a member of the Center for Language and Speech Processing, has received an AI2050 Early Career Fellowship from Schmidt Sciences. Recognized as a scholar working at the forefront of artificial intelligence, Field will receive funding from the philanthropic […]

Read More

Today, Johns Hopkins University announced the results of a year-long, faculty-led process which has identified seven Bloomberg Distinguished Professorships research clusters to drive interdisciplinary discoveries as a central part of the university’s new Data Science and AI Institute. Mark Dredze, a John C. Malone Professor of Computer Science, the interim deputy director of the Data Science […]

Read More

Medical data used to train AI is often “anonymized” to protect private health information, a practice crucial for HIPAA compliance. To address the limitations of traditional anonymization methods that may compromise accuracy and realism, Johns Hopkins researchers have developed DREAM, an AI system capable of generating synthetic patient portal messages that can be used to […]

Read More

Mark Dredze, a John C. Malone Professor of Computer Science, the interim deputy director of the Data Science and AI Institute, and the associate head of research and strategic initiatives for the Department of Computer Science, received an Optum Research Award in the area of foundational methods development. This award will support his project on “using large language models, or […]

Read More