Artificial Intelligence 101
Join us in person or online (Zoom) to learn more about the most popular and useful artificial intelligence (AI) methodology, machine learning. Dr. Lee Giles, David Reese Professor in the College of Information Sciences and Technology, will discuss what machine learning is and what it can do as well as introduce a new machine learning model, deep learning.
It is often claimed that AI has the potential to transform, and possibly take over, our society. But there seems to be little understanding of how it really works or its current limitations. In an effort to provide context to the power and limitations of AI, the talk will highlight the basics of implementing AI into solutions for actual problems. It will also dive into the different classes and memory models of deep learning.
About the speaker: Dr. C. Lee Giles is the David Reese Professor at the College of Information Sciences and Technology at Penn State. His current research interests are in intelligent information processing systems. He is also graduate professor of computer science and engineering, courtesy professor of supply chain and information systems, and director of the intelligent systems research laboratory. He recently became a teaching and learning technology fellow and the interim associate dean of research for IST. He directs the Next Generation CiteSeer, CiteSeerx project and codirects the ChemXSeer project at Penn State. He has been associated with Columbia University, the University of Maryland, University of Pennsylvania, Princeton University, and the University of Trento. He is Fellow of the ACM, IEEE, and the International Neural Network Society (INNS). He received the INNS Dennis Gabor Award for outstanding achievements in neural engineering and the IEEE Computational Intelligence Society’s Neural Networks Pioneer Award.
This event is being sponsored by the Nittany AI Alliance, the Institute for CyberScience, and Penn State IT. A separate session geared toward researchers and staff will take place at 2:00 p.m. in the Flex Theatre. The registration link on this page can be used for both events.