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Joint Applied Physics/Electrical Engineering Colloquium "Computing Inexactly: Good Enough Answers in Complex Systems in Nanoscale Limits"
Sandip Tiwari School of Electrical and Computer Engineering Cornell University Director, National Nanotechnology Infrastructure Network Abstract: "It is the mark of an instructed mind to rest satisfied with the degree of precision which the nature of the subject permits and not to seek an exactness where only an approximation of the truth is possible," so said Aristotle. In attempting to solve complex problems, we mostly deal with inexact inputs using inexact models, and limited resources, which at nanoscale have variability, unreliability and other constraints. What could one achieve if we relaxed the requirement of total predictability and reproducibility required of the current computation model? Refreshments start at 3:30 p.m. Lecture begins at 4:00 p.m.
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| When |
Oct 16, 2009 from 03:30 pm to 05:15 pm |
| Where | Maxwell Dworkin G115 |
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