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 story here.
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
Jeremias Sulam Receives NSF CAREER Award
The award recognizes early-stage scholars with high levels of promise and excellence. Jeremias Sulam, assistant professor in the Department of Biomedical Engineering and an affiliate of MINDS, has been named a recipient of the National Science Foundation’s Early CAREER Award, which recognizes early-stage scholars with high levels of promise and excellence. Read
Chellappa Honored with the 2024 Edwin H. Land Medal
Rama Chellappa, Bloomberg Distinguished Professor in electrical and computer engineering and biomedical engineering at Johns Hopkins University, has won the 2024 Edwin J. Land Medal, given by Optica and the Society for Imaging Science and Technology. Chellappa is recognized for significant contributions to image/video processing, computer vision, and related fields. The Edwin H. Land Medal, established
New Johns Hopkins Institute Aims to Make Baltimore an AI Hub
Johns Hopkins University has launched an ambitious endeavor that the school’s leaders say will make Baltimore a hub of the booming artificial intelligence industry. The new Data Science and Translation Institute, announced several months ago and planned for the western edge of the Homewood Campus, is expected to be “the leading
Villar receives National Science Foundation’s Early CAREER Award
Soledad Villar, assistant professor of applied mathematics and statistics, has been selected to receive the National Science Foundation (NSF)’s Early CAREER Award, which recognizes early stage scholars with high levels of promise and excellence. Villar’s five-year project “Symmetries and Classical Physics in Machine Learning for Science and Engineering,” will blend invariant theory, representation theory,
Putting trust to the test
Hopkins researchers unveil new uncertainty quantification methods in an effort to promote appropriate trust in AI use. Artificial intelligence and machine learning can help users sift through terabytes of data to arrive at a conclusion driven by relevant information, prior results, and statistics. But how much should we trust those conclusions—especially