The creation of “learning machines” that can make decisions and interact more directly with humans through the use of artificial intelligence will be the topic of a June 13 presentation at RIT.
Daniel Yeung, a fellow of the Institute for Electrical and Electronics Engineers and president of the Machine Learning and Cybernetics Research Institute of Hong Kong, will discuss the use of model selection and feature reduction to enhance neural networks used in artificial intelligence.
“Through the improvement of artificial intelligence we can greatly enhance applications for robotics, logic programming and computer modeling,” notes Ferat Sahin, RIT associate professor of electrical engineering and host of the presentation. “Daniel Yeung is a leading expert in this field and his talk will provide an excellent opportunity for the Rochester community to learn more about developments in the area.”
Yeung currently serves as the president of the IEEE Systems, Man and Cybernetics Society and is the former chair of the Department of Computing at Hong Kong Polytechnic University.
The talk is part of the IEEE Distinguished Lecture Series, which sponsors presentations by leading engineers and scientists at universities across the country.
WHAT: IEEE Distinguished Lecture Series
WHO: Daniel Yeung
WHEN: 1 p.m. June 13
WHERE: James E. Gleason Building (#9), room 2139