Shao-Yuan Lo, a former student of Vishal Patel, associate professor in the Department of Electrical and Computer Engineering, has been awarded the prestigious Yushan Young Fellowship from Taiwan’s Ministry of Education—the highest honor for newly appointed young professors in Taiwan. The fellowship is granted to early-career scholars who demonstrate exceptional research achievements and
A Trailblazing Researcher Describes her Path to AI and Health Care
A conversation with Johns Hopkins computer scientist and MINDS faculty member Suchi Saria, who is on a mission to augment human care with the latest in AI and machine learning technology Read more
Dredze named director of Johns Hopkins Data Science and AI Institute
Selected to lead institute dedicated to harnessing the power of artificial intelligence to translate data-driven discovery into real-world impact Mark Dredze, a member of Johns Hopkins University’s computer science faculty since 2009 and a pioneer in the application of artificial intelligence for language analysis to public health and medicine, has been
MINDS faculty receive Johns Hopkins Nexus Awards
The Nexus Awards Program supports a diverse range of programming, research, and teaching activities at the Hopkins Bloomberg Center. MINDS faculty Mark Dredze and Jason Eisner, along with colleagues Peter Kazanzides and Tom Lippincott are among the recipients of the latest round of Nexus Awards bestowed by the Johns Hopkins University. The 38 projects funded this round
Chellappa briefs Congress on AI’s promise and pitfalls
Johns Hopkins electrical and computer engineering and MINDS faculty member briefed congressional staff at the Hopkins Bloomberg Center on Aug. 4. Hosted by the Johns Hopkins Data Science and AI Institute, Engineering Lifelong Learning, and the Office of Federal Strategy, the session focused on advances and risks in AI systems that
Talking Robots Learn to Manage Human Interruptions
Johns Hopkins computer scientists designed an interruption-handling system to facilitate more natural conversations with social robots By Jaimie Patterson Johns Hopkins University researchers have created a system that could make social robots more effective at detecting and managing user interruptions in real time based on a human speaker’s intent—a breakthrough for
Environment Near Breast Cancer Tumors May Hold Key Information for Prognosis
By using AI to analyze tissue patterns, researchers gain new insights into why some patients respond better to specific treatments By Hannah Robbins Cells and tissues surrounding a breast cancer tumor may hold critical information about how patients will respond to treatment, according to a new study from Johns Hopkins University.
Diaz receives NSF CAREER award to advance data science optimization
NSF CAREER award to advance scalable optimization tools to solve complex data science challenges in health care, energy, and finance. Read the full story here.
When AI gets it wrong
Johns Hopkins researchers developed a novel dataset to examine how cognitive biases influence AI’s diagnostic abilities in medicine. Read the full article.
Finding hidden biases in Wikipedia’s multilingual content
New tool analyzes and addresses cultural disparities across language versions, paving the way for more-balanced information. Read the full article on the Hub.