2009 | OriginalPaper | Buchkapitel
Using Randomly Assembled Networks for Computation
verfasst von : Andrey Zykov, Gustavo de Veciana
Erschienen in: Nano-Net
Verlag: Springer Berlin Heidelberg
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This paper makes the case for perturbation-based computational model as a promising choice for implementing next generation ubiquitous information applications on emerging nanotechnologies. Our argument centers on its suitability for technologies with low manufacturing precision, high defect densities and performance uncertainty. This paper discusses some of the possible advantages and pitfalls of this approach, and associated novel design principles.