Date: Oct 11, 2023 (Wednesday)  6:30 - 8:30 PM  at ITRI (2880 Zanker Road, Suite 103)

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Topic: AI 2023 : Generative AI and Beyond (Dr. William Kao)

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Meeting ID: 890 9991 9585
Passcode: 1011

 “AI 2023: Generative AI and Beyond” by Dr. William Kao

Talk Abstract

Generative artificial intelligence is technology’s hottest talking point of 2023, having rapidly gained traction amongst businesses, professionals and consumers.

Generative AI is a type of artificial intelligence technology that broadly describes machine learning systems capable of generating text, images, code or other types of content, often in response to a prompt entered by a user. Generative AI models learn the patterns and structure of their input training data and then generate new data that has similar characteristics.

In this seminar Dr. Kao will discuss machine learning methods used by Generative AI (supervised, unsupervised and reinforcement learning) , and current GAI capabilities, limitations and applications.

While generative AI has great potential to enable competitive differentiation, several other emerging AI technologies also offer immense potential. In this seminar Dr. Kao   will present and discuss several new emergent AI technologies such as Causal AI, Composite AI, Neuro-symbolic AI, Responsible AI, Federated AI, and AI TRISM (Trust, Risk, and Security Management).

Come and join us for this interesting and informative AI technical seminar.

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 currently teaches Clean Technology and Emerging Technology courses at the University of California Santa Cruz, Silicon Valley Extension. 

Over the past ten years he has given more than 100 technical seminars on various Clean and Emerging Technologies subjects including Clean Technology, Renewable Energy, Big Data and Data Analytics, IoT, Smart Cities, Innovation, Augmented and Virtual Reality, 5G, 3D Printing, the Metaverse, Satellite Communications, AI / Machine Learning, and Robotics.

Dr. Kao is a Technology Watcher, Learner and Teacher.