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ϳԹ researchers created the Landslide Exposure Database, the first resource that maps per-building landslide vulnerability across the United States. The study estimates that roughly 6.5 million U.S. residents are highly vulnerable to landslides, and overturns the conventional picture of landslide risk in the U.S. by identifying high concentrations of exposure in Appalachia as well as a surprising urban-rural divide.

Eight ϳԹ researchers have been selected as Fulbright Scholars for 2026-2027 and will pursue studies around the world.  Fulbright Scholars are college and university faculty, administrators and researchers, as well as artists and professionals, who build their skills and connections, gain valuable international insights and return home to share their experiences with their students and colleagues. This year’s ϳԹ cohort represents a variety of disciplines, including sciences, engineering, business, environmental sciences, electrical and computer engineering, and computer science….

A ϳԹ team studied seven popular agentic AI browsers and found that four create ways for malicious actors to bypass a fundamental cybersecurity protocol called the “same-origin policy,” which makes websites open in a browser unable to interact with each other’s information. Researchers ran a successful proof-of-concept cyberattack on one browser.

A ϳԹ team built an AI tool that helps users turn research papers into 45-second videos. A researcher uploads a paper to the tool, which uses Google Gemini to write a short script explaining the paper. The researcher can then iteratively edit the transcript and resulting video clip.

ϳԹ researchers created BikeButler, a demo web app that lets users find personalized bike routes in Seattle. Cyclists plug in their destination and origin — just like in other mapping apps — and can then toggle sliders for eight attributes to create personalized route options.

ϳԹ researchers developed a system called VueBuds that uses tiny cameras in off-the-shelf wireless earbuds to allow users to talk with an AI model about the scene in front of them. For instance, a user might look at a Korean food package and say, “Hey VueBuds, translate this for me.” They’d then hear an AI voice say, “The visible text translates to ‘Cold Noodles’ in English.

A team led by ϳԹ researchers has created DopFone, a system that uses an off-the-shelf smartphone’s existing speaker and microphone to accurately estimate fetal heart rate. The phone mimics a Doppler ultrasound, emitting a tone and listening for the subtle variations in its echo caused by fetal heart beats. A machine learning model then estimates the heart rate.

The ϳԹ and Microsoft have announced the expansion of their long‑standing partnership uniting world-class academic research with world-leading technology. ϳԹ and Microsoft aim to accelerate AI discovery, prepare students and workers for an AI-driven economy, and help communities understand and use AI responsibly.

The ϳԹ was awarded $2.5 million from the Gordon and Betty Moore Foundation to fund 16 postdoctoral fellows in a number of fields across the College of Arts & Sciences, the College of Engineering and the College of the Environment.

A ϳԹ and Ai2 research team built OpenScholar, an open-source AI model designed specifically to synthesize current scientific research. In tests, OpenScholar cited sources as accurately as human experts, and 16 scientists preferred its response to those written by subject experts 51% of the time.

Lucas Meza, an assistant professor of mechanical engineering at the ϳԹ, started his lab to build a new generation of tough and light nanomaterials inspired by natural materials like wood, shell and bone. Instead, he discovered “big gaps” in our basic understanding of what makes a material tough or brittle. Meza spoke to ϳԹ News about his strange and surprising journey into the nano realm.

New research from the ϳԹ and the Toyota Research Institute explores how drivers trade off between cognitive tasks, driving and using the vehicle’s touch screen. Researchers placed participants in a driving simulator and had them complete memory tests while interacting with the simulator’s touch screen.

Researchers at the ϳԹ have developed AI-powered headphones that automatically isolate conversation partners in a noisy soundscape. The system employs AI models that listen for the back-and-forth pattern of conversation and mute voices that aren’t following the established rhythm.

Targeted drug delivery is a powerful and promising area of medicine. Therapies that pinpoint precise areas of the body can reduce the medicine dosage and avoid potentially harmful “off target” effects. Researchers at the ϳԹ took a significant step toward that goal by designing proteins with autonomous decision-making capabilities. By adding smart tail structures to therapeutic proteins, the team demonstrated that the proteins could be “programmed” to act based on the presence of specific environmental cues.

New research led by the ϳԹ provides clear evidence that highly walkable areas lead to significantly more walking. Authors compared the steps per day of 5,424 people who moved one or more times among 1,609 U.S. cities. Across all relocations, when the Walk Score rose or fell more than 48 points, average steps increased or decreased by about 1,100 per day.