News

New system keeps videos from defying gravity and breaking the laws of reality

New research shows body recognition systems rely heavily on BMI, raising questions about accuracy

A robot, trained for the first time by watching videos of seasoned surgeons, executed the same surgical procedures as skillfully as the human doctors. The successful use of imitation learning…

Backed by NIH funding, Muyinatu 'Bisi' Bell's innovative work is enhancing diagnostic accuracy, improving surgical precision, and ensuring equitable health care for all patients

Johns Hopkins electrical engineer Mounya Elhilali relies on federal funding to push the boundaries of how technology can enhance human perception

New tool tests AI models on everything from identifying faces to detecting biases in facial data

Johns Hopkins researchers developed a novel dataset to examine how cognitive biases influence AI's diagnostic abilities in medicine

Johns Hopkins researchers uncover how protein complexes help cells adapt to and recover from physical stress

Multi-modal training promises smarter, safer robotic surgery

Researchers reveal how the brain tunes in to a single voice amid noise—a skill crucial for both humans and animals in chaotic environments

Susanna Thon, associate professor of electrical and computer engineering and associate director of the Ralph O’Connor Sustainable Energy Institute (ROSEI), is playing a key role in advancing the institute’s mission…

Johns Hopkins researchers are using AI to detect emotional highlights in videos and analyze details that resonate with viewers.