Artificial Intelligence and Robotics:
How Will they Change Our Lives?
with Cornell Tech Professor Daniel Lee
Sunday, October 20, 2019 - Rumson, NJ
Register here | See who's coming
What is the scientific basis of recent advances in Artificial Intelligence (AI)? How can we build robotic systems that can intelligently perceive the surrounding world and take appropriate actions?
Cornell Tech Professor Daniel Lee will describe some basic computational and machine learning methods and their application to build robotic systems that can perform a variety of tasks including autonomous driving, legged locomotion, and playing team sports.
Note: This talk is targeted at general audiences.
Sunday, October 20, 2019
5:00 - 7:30 pm
Salt Creek Grille
4 Bingham Avenue, Rumson, NJ 07760
Cost: $40 early bird (by October 6); $45 after October 6.
Your event fee includes the presentation and buffet dinner with cash bar.
Register Here | See Who's Coming
About the Speaker
Dr. Daniel D. Lee
is currently the Tisch University Professor in Electrical and Computer Engineering at Cornell Tech and Executive Vice President for Samsung Research. He received his BA summa cum laude in Physics from Harvard University and his PhD in Condensed Matter Physics from the Massachusetts Institute of Technology. After completing his studies, he was a researcher at AT&T and Lucent Bell Laboratories in the Theoretical Physics and Biological Computation departments. He is a Fellow of the IEEE and AAAI and has received the National Science Foundation CAREER award and the Lindback award for distinguished teaching. He was also a fellow of the Hebrew University Institute of Advanced Studies in Jerusalem, an affiliate of the Korea Advanced Institute of Science and Technology, organized the US-Japan National Academy of Engineering Frontiers of Engineering symposium, and serves on the boards of the Neural Information Processing Systems (NeurIPS) and RoboCup Foundations. His research focuses on understanding general computational principles in biological systems, and on applying that knowledge to build intelligent robotic systems that can learn from experience.
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