- Artificial Intelligence
- Artificial Intelligence and Machine Learning
- Biomedical and Health Data Science
- Complex Networks and Systems
- Data Analytics for Graphs
- Data Science
- Data Science Applications
- Data Visualization
- Data-driven Policy Making
- Ethics and Values in Digital Society
- Health@Luddy - Crosscutting
- Natural Language Processing
- Network Science
- Social and Ethical Aspects of Data Science
- Statistical Methods for Data Science
The overlap between computation and cognition
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.
Applications of AI and machine learning are a central focus: developing new algorithms and models, improving scalability for large, noisy data, understanding the connections to human cognition, behavior, and health, and a wide variety of other problems, along with studying their theoretical properties and limitations.
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