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 IU includes diverse faculty and students investigating a wide variety of areas, problems, and approaches concerning artificial systems that perceive, understand, learn from, react to, and interact with the world around them.See faculty in artificial intelligence
The overlap between computation and cognition
Audio and language
Recognize speech and music in noisy environments and on low-power devices. Understand spoken and written human natural language.
Design and develop robotic systems that naturally learn from and interact with humans and the environment. Study the social and ethical implications of robots.
Develop and analyze computational and mathematical models of living systems.
Develop algorithms and systems that act in their environment to optimize long-term reward.
Knowledge representation and inference
Develop general methods that can represent both logical and probabilistic information about a problem and use this information effectively to infer other properties of the same problem.
Create techniques to recognize objects, scenes, and activities in images and videos.