Computers can now defeat the best humans in complicated games like Chess, Go, and even Jeopardy. But despite some 70 years of active research, computers still lack the general intelligence and capabilities of even a small child. Artificial Intelligence research at Indiana University includes diverse faculty and students investigating a wide variety of areas, problems, and approaches about artificial systems that perceive, understand, learn from, react to, and interact with the world around them.

A major focus is machine learning, including studying its theoretical properties and limitations, developing new algorithms and models, improving scalability for large, noisy data, understanding the connections to human learning, and applying them to a wide variety of problems.

• Audio Speech and Information REtreival (ASPIRE) Research Group
• Center for Algorithms and Machine Learning
• Center for Social and Biomedical Complexity
• Complex Adaptive Systems and Computational Intelligence
• Computational Cognition and Learning Laboratory
• Computer Vision Lab
• Garyfalidis Research Group
• R-House Living Laboratory for Research in Human-Robot Systems
• Signals and Artificial Intelligence Group in Engineering
• Vehicle Autonomy and Intelligence Lab