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.
AI system can envision an entire world from a single picture
AI model created by Johns Hopkins computer scientists imagines in-depth scenarios based on a single image to make informed decisions. Read the full article on the HUB.
New Tool Blends Classic Math and AI to Tackle Complex Challenges
Learned Proximal Networks offer reliable solutions for tasks like image restoration, reconstruction of medical scans, and other estimation problems. By Dino Lencioni Researchers at the Whiting School of Engineering’s Mathematical Institute for Data Science have developed an innovative tool that merges traditional mathematical methods (like variational formulations for inverse problems) with machine learning
MINDS-affiliated Faculty Members Receive National Awards
Two faculty members from MINDS have received Chan Zuckerberg Initiative Collaborative Pairs Pilot Project Awards, highlighting Johns Hopkins researchers’ national impact in advancing interdisciplinary approaches to neurodegenerative disease and fundamental neuroscience. Adam Charles, an assistant professor in the Department of Biomedical Engineering and an affiliate of MINDS and the Center for Imaging Science, collaborates with Kaspar Podgorski from