Midwest ML Symposium
The Midwest ML Symposium aims to convene regional machine learning researchers for stimulating discussions and debates, to foster cross-institutional collaboration, and to showcase the collective talent of ML researchers at all career stages.
Our Partners
Explore the labs, centers, schools, and institutes driving the UChicago ML landscape—where machine learning advances across disciplines and discoveries unfold.
ML Research at UChicago
At the University of Chicago, we advance AI through deep theoretical inquiry and interdisciplinary research—examining its impact on humanity, the economy, science, biology, and beyond. Our work connects foundational technologies with pressing societal questions, driven by a commitment to rigorous scholarship and the public good. Explore the ML Research at UChicago
ML Degree Programs at UChicago
The University of Chicago offers advanced graduate and doctoral programs that prepare students to lead in AI and machine learning. UChicago’s advanced degrees—including Data Science, Statistics, Computer Science, Applied Math, Neuroscience, and TTIC—foster interdisciplinary research and real-world impact in AI and machine learning. Explore the ML Degree programs at UChicago
Our ML Experts
Our growing ML community reflects a shared commitment to advancing thoughtful, impactful research and supporting the development of future leaders in AI.
NEWS
Democratizing Digital Graphics: An Undergrad’s Unlikely Path To Putting Agency of 3D-Generation in Users’ Hands
Hyunwoo (Brian) Kim ‘25, a recent grad of UChicago, creates MeshUp to improve user agency and control over 3D-generated graphics. AI has advanced to a point where images can be created with a few simple text commands. What if the same could be done for 3D-generated...
A new study provides insights into cleaning up noise in quantum entanglement
Researchers at the University of Chicago Pritzker School of Molecular Engineering (UChicago PME), University of Illinois Urbana-Champaign, and Microsoft have shown that it is fundamentally impossible to design a single one-size-fits-all protocol to counteract the...
Computational tool predicts materials for new energy economy
Researchers at the University of Chicago Pritzker School of Molecular Engineering and Department of 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...