News

AI has now been turned to the sky because astronomers have a scheduling problem—Time on a major telescope is rationed.

The historic Fields Medal victories of two Peking University alumni have drawn attention to a wider generation of young Chinese scientists and technology entrepreneurs making their mark on the global stage.

Andrew Chien, professor at the University of Chicago and a senior scientist at Argonne National Laboratory, explains the three major reasons people are concerned with data centers in an interview conducted by SciLine, based at the American Association for the Advancement of Science.

The experiment, designed to measure the magnetic moment of the muon, is also sensitive to a particle property called the electric dipole moment.

As the global research community gathers in Chicago for the American Chemical Society’s yearly conference, UChicago faculty and leadership share insights and innovations

Congratulations to Nita Yack, Managing Director in Computer Science!

Out of more than 6,000 participants and 800 qualifying teams representing 150 countries, University of Chicago MS in Applied Data Science students Morgan Klutzke and Binjie Wang earned first place in the Graduate Track (Master’s & PhD) of the 2026 U.S. Artificial Intelligence Institute (USAII) Global Hackathon.

Smart detectors will let us learn from “bad” data and could dramatically reduce the time between groundbreaking discoveries. An op-ed by David Miller.

Artificial intelligence is already transforming warfare, whether it’s waged by missile, drone or satellite; on land or sea, or in the air, space or cyberspace. Perhaps the most terrifying prospect, though, is what awaits us when AI properly meets weapons of mass destruction, especially the diabolical trifecta of nuclear, biological and chemical arms. Daniel Holz weighs in.

Scientists say they have detected promising signs that a planet orbiting a star 49 light-years from Earth could have an atmosphere, making it potentially suitable for life.

IBM and researchers from the University of Chicago today announced a demonstration in quantum computing that achieves the fundamental criteria for quantum advantage: performing computations beyond the reach of leading classical simulation methods while providing trust that the computation returned accurate results.

Researchers at the University of Chicago and New York University have revealed a shared mathematical structure between the noise inherent in generative modeling and the quantum fluctuations of atomic nuclei.

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.

The Institute for Climate and Sustainable Growth served as the leading academic thought partner for the summit, with a large cohort of students and scholars attending for three packed days in Chicago.