The field of Machine Intelligence focuses on developing the theoretical foundations, characterizing the limitations, and developing algorithms to automatically interpret, reason, and react to collected data. CRIS faculty in machine intelligence are known across the world for their research in computer vision, machine learning, data mining, quantitative modeling, and spatial databases.

Current research projects led by the members of this group include:

• Automatic detection of fake news
• Reinforcement learning and deep networks
• Sparse signal recovery
• Scene understanding in large-scale camera networks
• Big data management and spatial data processing
• Adaptive decision making
• Computational modeling for biological applications

Affiliated faculty performing research in this area include: