News: Research

Molecule and semiconductor combination could open new avenues for technology and discovery.

Hands-on, shape-aware generative authoring for swarm user interfaces wins best demo at UIST 2025.

UChicago-led study analyzes massive galaxy clusters mapped by the Dark Energy Survey, offering a new way to probe cosmic laws.

Astronomers have unveiled a new catalog of massive galaxy clusters, revealing new insight on the evolution of the universe.

New research shows that galvanic vestibular stimulation can help people relearn balance after injury or neurological conditions by tapping directly into the brain’s sense of orientation and movement.

Haifeng Xu and his team at SIGMA Lab launch Prophet Arena, a platform to test how well AI can forecast the future.

1,2-oxaborines can shift into 11 different ring shapes to make modifying molecular cores easy. Article features UChicago chemist Guangbin Dong's research.

A star found in the Large Magellanic Cloud is remarkably unpolluted by heavier elements, suggesting it is descended from the universe’s earliest stars. Article features research by Alexander Ji, assistant professor of astronomy and astrophysics.

At this year’s ACM Symposium on User Interface Software and Technology (UIST)—one of the global hubs for breakthroughs in how people and machines connect—the University of Chicago’s Department of Computer Science stands out through a spectrum of ambitious research.

The accuracy of non-invasive blood and stool-based tests for colorectal cancer is improving, but experts say it’s too soon to drop colonoscopies altogether.

The University of Chicago Institute for Climate and Sustainable Growth’s new Human-Centered Weather Forecasts Initiative is helping low- and middle-income countries better adapt to climate change by providing AI-driven forecasts tailored to their needs.

The University of Chicago, AIM for Scale and the Mohamed bin Zayed University of Artificial Intelligence have launched a first-of-its-kind weather forecast training program to help governments deliver tailored forecasts to meet local agricultural needs—including those of millions of farmers.

The lab of Prof. Laura Gagliardi at the University of Chicago Chemistry Department and Pritzker School of Molecular Engineering (UChicago PME) has developed a powerful new tool that harnesses electronic structure theories and machine learning to simulate transition metal catalytic dynamics with both accuracy and speed. 

Over the past 60 years, scientists have largely succeeded in building a computer model of Earth to see what the future holds. One of the most ambitious projects humankind has ever undertaken has now reached a critical moment.

Weather-tracking data is getting more granular thanks to artificial intelligence.