Links & Resources | Artificial Intelligence
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Links & Resources | Artificial Intelligence

Artificial Intelligence (AI) is the area of computer science focusing on creating machines that can engage in behaviors that humans consider familiar and intelligent, machines that perceive their environment and take actions which maximize their own chances of success. This raises philosophical issues about the nature of the mind and limits of science.

UT’s Electrical Engineering and Computer Science (EECS) Department maintains the Artificial Intelligence Lab, located in Nitschke Hall.

Faculty and students within the EECS Department are conducting research in fields of AI, Machine Learning, Artificial Neural Networks, Data-Mining, Fuzzy/Probabilistic Reasoning and more.

Dr. Gursel Serpen, Associate Professor in EECS Department conducts research in areas of AI, Machine Learning, Artificial Neural Networks and more.

Artificial Neural Networks are artificial neurons or nodes – computer programming that mimics the properties of biological neurons. Artificial Neural Networks have been applied in speech recognition, image analysis, and to construct software agents in computer and video games.

Software agents differ from conventional software in that they are long-lived, semi-autonomous, proactive, and adaptive. Software agents act as an assistant to the user rather than a tool, learning from interaction and proactively anticipating the user’s needs. It acts on behalf of the user…sensing the environment and responding.

The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, recognize faces or spoken speech, optimize robot behavior so that a task can be completed using minimum resources.