News: Research

Scientists used a new error correction method to crack a classically intractable problem. Prof. Bill Fefferman and his grad student Soumik Ghosh co-authored the paper.

Connecting atomic-scale behavior to larger-scale material properties to predict the performance of real optical devices.

New research from Computer Science explores how digital services could use personal data for specific tasks without requiring people to give up broad control over it.

UChicago researchers, including chemist Chuan He, shed light on how a trans fatty acid increases production of immune cells.

Colloidal gallium nitride and titanium nitride nanocrystals could enable printed displays and implant coatings.

The gripper picks up fragile and irregular objects, from raw eggs to scissors, without custom programming or sensors.

Three approaches to the issue of quantum results that can’t be verified classically.

Big Blue is racing to show that its quantum computing business can be profitable following a historic stock tumble.

UChicago chemists show that local, imperfect information can be enough to learn control protocols in several carefully defined systems. What might that mean for biology, and for how we think about AI models of cells?

A proposed White House rule would give political appointees unprecedented control over scientific funding. UChicago physicist David Miller, who helped discover the Higgs boson, explains how the rule would’ve stifled that breakthrough.

UChicago researchers combine AI with statistics and physics to better estimate the odds of rare weather events.

New AI system successfully schedules observations on a major national telescope.

While the celestial body seems to host three features that could make a livable environment—an atmosphere, a rocky composition and a temperature that could allow liquid water to sit on the surface—researchers have not currently detected any residents.

A multi-institution team says warming Mars is feasible; finding out whether life exists there must come first.

AI-powered PoLARIS Project will execute science experiments remotely, allowing underserved researchers across the nation access to create novel soft materials from afar.