Artificial Intelligence, Neural Networks and ChatGPT for Non-Tech Majors | CCNY CWE's AI/Chat GPT Lecture Series
25 Broadway, 7th Floor
New York, NY 10004
THIS EVENT IS IN ONLINE (MUST RSVP)
CCNY's Division of Interdisciplinary Studies at the Center for Worker Education (CCNY CWE)
Cordially Invites you to
Artificial Intelligence, Neural Networks and ChatGPT for Non-Tech Majors
A Lecture with Prof. M. Ü. Uyar and H. S. Kayman
AI and Neural Network concepts are presented for students with noncomputing majors. A step-by-step example will be used to describe Chat GPT operations.
Dr. M. Ümit Uyar (http://bioinspired.ccny.cuny.edu/uyar/) is a Professor at the Electrical Engineering Department of the City College of New York and the Computer Science Department of the Graduate Center of the City University of New York. He is also the Director of the Computer Engineering Program at the City College. His research interests include artificial intelligence based computation with for cyber warfare, mobile ad hoc networks, and cancer chemotherapy treatment decision support systems, and testing and verification of complex communication systems. Dr. Uyar has been a lead principle investigator to conduct research on artificial intelligence and game theory based cyber security, knowledge sharing mobile agents using bio-inspired algorithms for topology control in MANETs. His research interests also include development of genetic information and bio-marker based AI tools for personalized prognosis of neuro-degenerative diseases such as Alzheimer’s Disease and Parkinson’s Disease. Prior to joining academia, he was a Distinguished Member of Technical Staff at AT&T Bell Labs. He is an IEEE Fellow and holds seven U.S. patents. Dr. Uyar has a B.S. degree from Istanbul Technical University, and M.S. and Ph.D. degrees from Cornell University, all in electrical engineering.
Hasan Suca Kayman, a City College of New York graduate student, combines technology passion with critical thinking, drawn from his love for chess, philosophy, and math. His notable work includes "AI-Based Price Estimation & Algorithmic Trading" for cryptocurrency optimization and pioneering "Anomaly Detection through Keystroke & Tap Dynamics," now a Krontech service. Currently, he's tackling "Unraveling Privacy Challenges in AI and ML Techniques," aiming to secure Large Language Models with advanced AI.
Monday, April 15, 2024, 5 PM
Online (Zoom)
FREE | Must RSVP at https://docs.google.com/forms/d/e/1FAIpQLSfnlkLN31Kw21L9uGWgkXHzlV6QK5eZxVHJAsclBmPudTkf8w/viewform
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