How to Make AI Work
Date: Monday, October 28
Time: 2:00 p.m.
Location: Flex Theater, HUB-Robeson Center
Artificial intelligence (AI) is often claimed to have the promise of transforming and possibly taking over our society. But there seems to be little understanding of how it really works or its current limitations.
Join us online (Zoom) or in person to learn more about the most popular and useful AI methodology, machine learning. Dr. Lee Giles, the David Reese Professor at the College of Information Sciences and Technology at Penn State, will discuss what a machine learning problem is and what it can do, as well as introduce a new machine learning model, deep learning.
In an effort to provide context to artificial intelligence's power and limitations, the talk will highlight the basics of implementing AI into actual problems. It will also dive into the different classes and memory models of deep learning.
About the Presenter:
Dr. C. Lee Giles is the David Reese Professor at the College of Information Sciences and Technology at the 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 Pioneer Award in Neural Networks.
This event is being sponsored by ICS, Nittany AI Alliance, and Penn State IT. A separate event tailored toward undergraduate students will take place in the evening on Oct. 28. Students can register for that event using the "Register now" link above.