Neuromorphic Computing The next evolution in AI by Dr William Kao

Talk title “Neuromorphic Computing: The next evolution in AI” by Dr. William Kao
Abstract:
Neuromorphic computing, inspired by the structure and function of the human brain, aims to mimic the brain's neural architecture, creating systems that emulate neurobiological processes. Unlike traditional von Neumann architectures, neuromorphic systems integrate memory and processing units, significantly reducing power consumption and increasing computational efficiency.
This seminar talk will provide a comprehensive overview of neuromorphic computing. Dr. Kao will trace the historical development of the field, explain the mechanisms of neuromorphic computing, how neurons and synapses work in the human brain, explain spiking neural networks, and event-driven architectures, then delve into the significance, applications, and future prospects of neuromorphic computing. Dr, Kao will also discuss current neuromorphic computing work being done in industry by leading companies IBM and Intel.
Applications of neuromorphic computing span a diverse array of fields: healthcare, robotics, and other areas of AI such as pattern recognition, data mining, and cognitive computing.
Come and join us for this informative technical talk on the next step 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.