New Techniques for AI and Generative AI
Date: Wedn Jan 15, 2025 6:30 - 8:30 PM , at ITRI 2880 Zanker Suite 103. Seminar talk will start at 7PM.
Eventbrite registration link:
Abstract:
The pace of AI technology evolution is unprecedented and has never been faster than it is today.
Join this AI seminar which highlights several most recent new AI and Generative AI techniques: Retrieval-Augmented Generation (RAG), AI Agents, Neuro-Symbolic AI and Liquid AI.
· Retrieval-Augmented Generation (RAG) is an AI development technique where a Large Language Model (LLM) is connected to an external knowledge base to improve the accuracy and quality of its responses.
· Artificial Intelligence (AI) agents are software program designed to interact with its environment, perceive the data it receives, and take actions based on that data to achieve specific goals.
· Neuro-Symbolic AI is a hybrid AI method which seeks to bridge the gap between traditional symbolic reasoning, which is rule-based and logic-driven, and neural networks, which excel at handling data-driven tasks and pattern recognition.
· Liquid AI techniques from MIT CSAILabs is based on “liquid neural networks” which refers to the architecture’s flexibility; not only are liquid neural networks much smaller, more transparent than traditional AI models, but they also require far less compute power to run.
All the above new AI techniques and methods will be covered in detail (what, why, how) in this seminar.
Come and join us for this informative technical talk on new techniques in AI .
Speaker Bio:
Dr. William Kao received his BSEE, MSEE and PhD from the University of Illinois Urbana-Champaign. He worked in the Semiconductor and Electronic Design Automation industries for more than 30 years holding several senior and Executive engineering management positions at Texas Instruments, Xerox Corporation, and Cadence Design Systems.
Dr. Kao has authored more than 40 technical papers on IC CAD at IEEE Journals and Conferences, and holds eight US software and IC design patents. He was an Adjunct Professor at UCLA Electrical Engineering Department where he taught courses in computer aided IC design.
Dr. Kao is a Senior Member of IEEE, and was one of the founding members of IEEE-Circuits and Systems - Silicon Valley Chapter.
Dr. Kao teaches Clean Technology and Emerging Technology courses at the University of California Santa Cruz, Silicon Valley Extension.
He has given more than 100 technical seminars on various Emerging Technologies including Clean Technology, Renewable Energy, Big Data and Data Analytics, IoT, Smart Cities, Augmented and Virtual Reality, Robotics, Drones, AI / Machine Learning, Robotics, 5G, 3D Printing, the Metaverse and Satellite Communications.