Artificial Intelligence

a snow dragonThe study of systems that behave intelligently, artificial intelligence includes several key areas where our faculty are recognized leaders: computer vision, machine listening, natural language processing, and machine learning.

Computer vision systems can understand images and video, for example, building extensive geometric and physical models of cities from video, or warning construction workers about nearby dangers. Natural language processing systems understand written and spoken language; possibilities include automatic translation of text from one language to another, or understanding text on Wikipedia to produce knowledge about the world. Machine listening systems understand audio signals, with applications like listening for crashes at traffic lights, or transcribing polyphonic music automatically. Crucial to modern artificial intelligence, machine learning methods exploit examples in order to adjust systems to work as effectively as possible.

CS Faculty and Their Research Interests

Margaret Fleck computational linguistics, programming language tools 
David A. Forsyth computer vision, object recognition, scene understanding
Julia Hockenmaier natural language processing, computational linguistics 
Derek Hoiem computer vision, object recognition, spatial understanding, scene interpretation 
Nan Jiang joining fall 2018; reinforcement learning
Bo Li joining fall 2018; secure machine learning
Oluwasanmi Koyejo machine learning, neuroscience, neuroimaging
Steven M. LaValle robotics, motion planning, and virtual reality 
Svetlana Lazebnik computer vision, object recognition, scene interpretation, modeling and organization of  large-scale image collections
Jian Peng machine learning and optimization 
Mark Sammons natural language processing, textual inference
Paris Smaragdis machine listening, signal processing, music information retrieval, and speech and audio analysis 
Matus Telgarsky machine learning theory

Affiliate Faculty

Timothy Bretl, Aerospace Engineering motion planning and control
Roxana Girju, Linguistics computational linguistics
Mani Golparvar-Fard, Civil Engineering computer vision analytics for building and construction performance monitoring
Mark Hasegawa-Johnson, Electrical & Computer Engineering statistical speech technology
Seth Hutchinson, Electrical & Computer Engineering computer vision, robotics   
Kenton McHenry, NCSA cyberinfrastructure for digital preservation, auto-curation, and managing unstructured digital collections 

Adjunct Faculty

Eyal Amir, Parknav machine learning, automatic reasoning
Dan Roth, University of Pennsylvania machine learning, natural language processing, knowledge representation, reasoning 

Artificial Intelligence Research Efforts and Groups

Artificial Intelligence Research News

CS Professor Sheldon Jacobson

Chicago Sports Tech Firm Stats Looks To Bring AI To The Broadcast Booth And Sideline

April 17, 2018  

Chicago Tribune -- CS Professor Sheldon Jacobson is interviewed in this story on sports-data firm Stats and its expanding use of AI for analysis.

PhD student Tanmay Gupta

This AI Can Automatically Animate New Flintstones Cartoons

April 13, 2018  

Gizmodo -- Researchers who include Illinois Computer Science PhD student Tanmay Gupta and Associate Professor Derek Hoiem have trained artificial intelligence to generate new clips of The Flintstones cartoon series based on  text descriptions of what’s happening in a scene. Other coverage includes Tech TimesTheNextWeb, and BRG. You can also watch the researchers' video here.

CS Professor Sheldon Jacobson

Technology Holds The Key To Redistricting Reform

April 3, 2018  

Houston Chronicle -- A Texas Southern University Professor draws on research by CS Professor Sheldon Jacobson to argue that AI can help solve the problem of gerrymandering in drawing political boundaries.

CS Professor Tarek Abdelzaher

Understanding Facebook, Privacy, And Your Data

March 27, 2018  

WILL's The 21st -- CS Professor Tarek Abdelzaher joins the daily public radio talk show as fallout continues from news that Facebook users' private data was used to as part of a campaign to influence the outcome of the 2016 presidential election.

CS Professor Sheldon Jacobson

NCAA Tournament Winners And Losers: TruTV, Sister Jean ... And Sheldon Jacobson

March 19, 2018  

Chicago Tribune -- Among the highlights from the tournament's opening weekend, the Tribune notes that CS Professor Sheldon Jacobson's model for predicting long-shot winners correctly picked one of the biggest upsets of the competition so far.