News: Faculty

Weather forecasts based on AI are faster and sometimes more accurate than traditional ones, but they may miss rare and unprecedented weather events. 

Rafael Luque's research receives widespread discussion after a reanalysis of the original data. 

UChicago analysis of new and old data suggests the signal is weak and explainable by other molecules.

The new device created by Prof. Bozhi Tian's lab to detect molecules in air samples could one day be used to diagnose a wide array of diseases.
 

Researchers in PME and Chemistry have developed a new computational tool that predicts which metal-organic frameworks will be most stable for a given need, such as catalyzing reactions to store and extract energy from chemical energy carriers without combustion.

The Data Science Institute’s annual event showcased cross-campus collaborations spanning climate science, government, and more.
 

A new study from scientists from the University of Chicago found that neural networks cannot forecast “gray swan” weather events, which might not appear in existing training data but could still happen—like 200-year floods or massive hurricanes.
 

Ben Zhao discusses the effects of generative AI on the future of art and how to protect the future of creativity. 

A wrist-mounted camera and tactile feedback system from the Human-Computer Integration Lab redefines sensory substitution, helping users "see" through their hands for real-world object exploration and accessibility.
 

CacheBlend by Asst. Prof. Junchen Jiang boosts AI speed and accuracy, earning ACM EuroSys 2025 honors. This open-source tool invites global collaboration to transform AI in key sectors.

Astronomers Rafael Luque and Jacob Bean discuss new research and evidence regarding the chances of life on planets far from Earth. 

Bozhi Tian explains in a CBS video the new medical device "ABLE" and how it can find medical answers through particles in the air. 

Watch a dynamic panel discussion featuring leading Computer Science faculty—Michael Franklin, Becca Willett, Ben Zhao, and Ce Zhang—moderated by WIRED’s Kate Knibbs. This recorded conversation explores the future of AI, its societal impact, and pressing ethical issues like privacy, bias, and fairness.

New UChicago institute joins a $90 million nationwide network advancing fundamental inquiry and collaboration in physics.

Annual event invites students from across departments to apply machine learning methods to advance scientific discovery.