This event included a dinner (free for Caltech students), a talk by a distinguished scholar, and a conversation on the fascinating questions about the degree of approximation between human brains and computers.
DATE: October 28th
LOCATION: Dabney Hall on Caltech Campus
ATTENDANCE: Around 120 people – mostly Caltech students, but some were science and engineering students from other nearby universities, and some were Pasadena community members.
Video of Talk
GUEST SPEAKER BIO
Robert Jackson Marks II is a Distinguished Professor of Electrical and Computer Engineering at Baylor University and has "been instrumental in the defining of the field of computational intelligence" (wikipedia).
His contributions include the Zhao-Atlas-Marks (ZAM) time-frequency distribution in the field of signal processing and the Cheung–Marks theorem in Shannon sampling theory.
Marks's professional awards, include a NASA Tech Brief Award and a best paper award from the American Brachytherapy Society for prostate cancer research. He is Fellow of both IEEE and The Optical Society of America.
His consulting activities include Microsoft Corporation, DARPA, Pacific Gas & Electric, & Boeing Computer Services.
Marks's research has been funded by organizations such as:
•the National Science Foundation
•Southern California Edison
•the Air Force Office of Scientific Research
•the Office of Naval Research
•the United States Naval Research Laboratory
•the Whitaker Foundation
•the National Institutes of Health
•The Jet Propulsion Lab
•Army Research Office
Dr. Marks has published with over 200 different co-authors from more than 25 countries in over 50 journals. Ten of Dr. Marks’ papers have been reproduced in volumes of collections of outstanding papers.
Dr. Marks's books include
•R.J. Marks II, William A. Dembski and Winston Ewert, Introduction to Evolutionary Informatics, World Scientific, Singapore, (2017)
•R.J. Marks II, Michael Behe, William A. Dembski, Bruce L. Gordon, John C. Sanford, Editors, Biological Information - New Perspectives, World Scientific, Singapore, (2013).
•R.J. Marks II, Handbook of Fourier Analysis and Its Applications, Oxford University Press, (2009).
•R. D. Reed and R.J. Marks II, Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks, MIT Press, Cambridge, MA, (1999).
•R.J. Marks II, Introduction to Shannon Sampling and Interpolation Theory, Springer-Verlag, (1991)