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 |
ID |
705181 |
Reference URL |
https://collections.lib.utah.edu/ark:/87278/s6jm2v2p |