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Artificial Intelligence

Artificial intelligence is the computer modeling of intelligent behavior, including but not limited to modeling the human mind. We see it as an interdisciplinary field where computer science intersects with philosophy, psychology, linguistics, engineering, and other fields. Example areas of AI expertise at UGA include natural language processing, logical reasoning and decision making, evolutionary computing, neural networks, robotics, intelligent information systems, vision, and expert systems to name a few.


Research Focus:

Artificial intelligence & Robotics

Decision-Making under Uncertainty, Multi-Agent Systems

Reinforcement Learning, Learning from demonstrations

Explainable AI, Graph Analytics, Anomaly detection, Data Mining

Heterogeneous Multi-Robot Systems Wireless Ad Hoc Robotic Networks Search and Rescue Robotics Human-Robot Interfaces for Intelligent Teleoperation Robotics in Precision Agriculture

Computer Vision • Machine Learning • Deep Neural Networks • Learning With Limited Labels • Image Understanding in 3D Geometry • Human Analysis • Face Analysis and Synthesis • Generative Models • Object Detection and Scene Understanding • Context Modeling •…

Machine Learning in Precision Agriculture

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