Fault Tolerant Computing Paradigm for Random Molecular Phenomena: Hopfield Gates and Logic Networks

Tran, A.H.; Yanushkevich, Svetlana; Lyshevski, Sergey Edward; Shmerko, Vlad

doi:10.1109/ismvl.2011.21

Cited by 3 publications

(1 citation statement)

References 6 publications

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“…One of the feasible candidates for future technologies is neuromorphic networks [13]. The neuromorphic model, based on Hopfield network with Boltzmann updating rule [27], is robust to noise, as shown in this paper via experimental study. The latter confirm that the behavior of Hopfield networks and its modification, the Boltzmann machine, demonstrates high fault tolerance in the presence of critical noise in a part or in all nodes and interconnects of the network.…”

Section: Conclusion and Discussionmentioning

confidence: 88%

The EXOR gate under uncertainty: A case study

et al. 2011

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Probabilistic AND/EXOR networks have been defined, in the past, as a class of Reed-Muller circuits, which operate on random signals. In contemporary logic network design, it is classified as behavioral notation of probabilistic logic gates and networks. In this paper, we introduce additional notations of probabilistic AND/EXOR networks: belief propagation, stochastic, decision diagram, neuromorphic models, and Markov random field model. Probabilistic logic networks, and, in particular, probabilistic AND/EXOR networks, known as turbo-decoders (used in cell phones and iPhone) are in demand in the coding theory. Another example is intelligent decision support in banking and security applications. We argue that there are two types of probabilistic networks: traditional logic networks assuming random signals, and belief propagation networks. We propose the taxonomy for this design, and provide the results of experimental study. In addition, we show that in forthcoming technologies, in particular, molecular electronics, probabilistic computing is the platform for developing the devices and systems for low-power low-precise data processing.

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Section: Conclusion and Discussionmentioning

confidence: 88%