Modern machine learning techniques have ushered in a new era of computing. Instead of following an explicitly provided set of instructions, computers can now learn from data and subsequently make predictions. Recent approaches have unlocked new capabilities across an expanse of applications, including computer graphics, computer vision, natural language processing, recommendation engines, speech recognition, and models for understanding complex biological, physical, and computational systems.
UChicago CS studies all levels of machine learning and artificial intelligence, from theoretical foundations to applications in climate, data analysis, graphics, healthcare, networks, security, social sciences, and interdisciplinary scientific discovery. Researchers explore the next generation of learning methods, including machine teaching, human-centered AI, and applications in language, image processing, and scientific discovery. With colleagues across the UChicago campus, the department also examines the considerable societal impacts and ethical questions of AI and machine learning, to ensure that the potential benefits of these approaches are not outweighed by their risks.
Labs & Groups
Machine Learning Group
SAND (Security, Algorithms, Networking and Data) Lab
3DL
Network Operations and Internet Security (NOISE) Lab
Chicago Human + AI (CHAI) Lab
Strategic IntelliGence for Machine Agents (SIGMA) Lab
News & Events

New 2022-23 CS Faculty Add Expertise in Linguistics, Visualization, Economics, and Data Science Education

Faculty Bill Fefferman and Chenhao Tan Receive Google Research Scholar Awards

Two Incoming UChicago CS PhD Students Receive Department of Energy Fellowship

DSI Summer Lab Returns In-Person With 49 Students From Across the U.S.

UChicago CS Labs Join Museum of Science & Industry For Robot Block Party

Three UChicago CS Security Projects Receive Funding From c3.ai Institute
