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Ikhlaq Sidhu
Dean and Professor, School of Science & Technology, IE University in Madrid, Founding Director & Chief Scientist, Sutardja Center, UC Berkeley
Ikhlaq Sidhu is a distinguished academic known for his role as the Dean of the School of Science and Technology at IE University in Madrid, Spain, and as the founding faculty director of UC Berkeley's Sutardja Center for Entrepreneurship & Technology.
With a strong background in Electrical and Computer Engineering, Sidhu is the author of the acclaimed book "Innovation Engineering" and the mastermind behind the renowned Data-X Course at UC Berkeley.
Having secured over 60 patents in Internet communication technologies, Dr. Sidhu is a trailblazer in the field of entrepreneurship and technology, having developed the Berkeley Method of Entrepreneurship, which is utilized at the world's top-ranked university.
His contributions have been recognized through various prestigious awards, such as the IEEE Major Education Innovation Award, the Extraordinary Teaching in Extraordinary Times Award from UC Berkeley, and the Berkeley IEOR Emerging Area Professor Award.
Sidhu's academic journey includes a bachelor's degree in Electrical Engineering from the University of Illinois at Urbana-Champaign, a master's and a doctorate in Electrical Engineering from Northwestern University, and an Honorary Ph.D. from Lund University in Sweden.
Throughout his career, he has held key positions including Dean and Professor at IE University, Founding Faculty Director and Chief Scientist at UC Berkeley's Sutardja Center, and Director and CTO at notable companies like US Robotics, 3Com, and Cambia.
Additionally, Sidhu's early professional experience includes working as a Hardware Engineer at Hewlett Packard, further enriching his diverse expertise in both academia and industry.
Highlights
Visited Oxford Science Park earlier today, another great vacation spot! Best, /IS
Graham Caleb - thanks for hosting.
Geoffroy Gérard, Rafif Srour, Guillermo de Haro Rodríguez, Paris de l'Etraz, PhD
Dear Community,
Is the Future of AI Analog? What are the other possible solutions to AI Power Consumption and Speed?
In this tech brief, we continue the theme of AI's power consumption and come to a surprising insight: 'The future of AI may just be Analog (and not digital).' Through synthesizing conversations and Think Tank meetings, AI's future could be analog circuit-based instead of digital and processor-driven.
The preliminary draft of the Catalyst Tech brief is linked here. Live draft: https://lnkd.in/dDSgDsk5
Thank you, Amine Bermak, for your insightful discussion. Also, thank you to the prior contributors to this discussion theme: Shomit Ghose, Thas Ampalavanapillai NIRMALATHAS, FTSE, FIEAust, and Nir Ailon. Geoffroy Gérard, Rafif Srour, Guillermo de Haro Rodríguez, Paris de l'Etraz, PhD, Santiago Iniguez, Juan José Güemes, Manuel Muñiz, Trond Petersen, Marisa Schneider, Helmut Schoenenberger
