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. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2009.
CITATION STYLE
Zykov, A., & De Veciana, G. (2009). Using randomly assembled networks for computation. In Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering (Vol. 3 LNICST, pp. 80–84). https://doi.org/10.1007/978-3-642-02427-6_16
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