Fly-inspired VLSI vision sensors

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Publication Type Journal Article
School or College College of Engineering
Department Electrical & Computer Engineering
Creator Harrison, Reid R.
Title Fly-inspired VLSI vision sensors
Date 2002
Description Engineers have long looked to nature for inspiration. The diversity of life produced by five billion years of evolution provides countless existence proofs of organic machines with abilities that far surpass those of our own relatively crude automata. We have learned how to harness large amounts of energy and thus far exceed the capabilities of biological systems in some ways (e.g., supersonic flight, space travel, and global communications). However, biological information processing systems (i.e., brains) far outperform today's most advanced computers at tasks involving real-time pattern recognition and perception in complex, uncontrolled environments. If we take energy efficiency into account, the performance gap widens. The human brain dissipates 12 W of power, independent of mental activity. A modern microprocessor dissipates around 50 W, and is equivalent to a vanishingly small fraction of our brain's functionality.
Type Text
Publisher MIT Press
Journal Title Neurotechnology for Biomimetic Robots
First Page 31
Last Page 56
Language eng
Bibliographic Citation Harrison, R. R. (2002). Fly-inspired VLSI vision sensors in Ayers, J. L. Davis, and A. Rudolph, Eds. Neurotechnology for Biomimetic Robots, 31-56.
Rights Management (c) MIT Press http://mitpress.mit.edu/
Format Medium application/pdf
Format Extent 1,432,085 bytes
Identifier ir-main,13956
ARK ark:/87278/s6jm2v2p
Setname ir_uspace
Date Created 2012-06-13
Date Modified 2021-05-06
ID 705181
Reference URL https://collections.lib.utah.edu/ark:/87278/s6jm2v2p
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