News

Multi-modal training promises smarter, safer robotic surgery

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 used artificial intelligence to create the largest, most comprehensive dataset of abdominal organs to date to help radiologists quickly and accurately identify tumors and other diseases.

Johns Hopkins computer scientists explore the gender stereotypes perpetuated by voice assistants and investigate how to reduce their harmful effects.

AI model imagines in-depth scenarios from a single image to make informed decisions about the world

Additional investment adds 30 new positions to program, with 22 positions allocated to seven research clusters selected through rigorous, faculty-led process.

The shape-shifting technological solution by Johns Hopkins researchers could be a game-changer for engineering designs.

Johns Hopkins’ innovation enables deeper insights into gene function and disease-linked mutations.

New work by Hopkins researchers detects writing patterns of ChatGPT and other programs

Kimmel Cancer Center and Whiting School of Engineering researchers collaborate on big data science.

A Johns Hopkins-led team found that chatbots reinforce our biases, providing insight into how AI could widen the public divide on controversial issues.