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==Research==
Recent research has shown how chaotic computers can be recruited in [[Fault tolerance|fault tolerant]] applications, by introduction of dynamic based fault detection methods.<ref>{{cite journal | last1=Jahed-Motlagh | first1=Mohammad R. | last2=Kia | first2=Behnam | last3=Ditto | first3=William L. | last4=Sinha | first4=Sudeshna | title=Fault tolerance and detection in chaotic Computers | journal=International Journal of Bifurcation and Chaos | publisher=World Scientific Pub Co Pte Lt | volume=17 | issue=6 | year=2007 | issn=0218-1274 | doi=10.1142/s0218127407018142 | pages=1955–1968| bibcode=2007IJBC...17.1955J }}</ref> Also it has been demonstrated that multidimensional dynamical states available in a single ChaoGate can be exploited to implement parallel chaos computing,<ref name="Chua 2005">{{cite conference | last1=Cafagna | first1=D. | last2=Grassi | first2=G. | title=Chaos-based computation via chua's circuit: parallel computing with application to the SR flip-flop |conference= International Symposium on Signals, Circuits and Systems|year=2005| publisher=IEEE | isbn=0-7803-9029-6 | doi=10.1109/isscs.2005.1511349 | volume=2|
Chaos allows order to be found in such diverse systems as the atmosphere, heart beating, fluids, seismology, metallurgy, physiology, or the behavior of a stock market.<ref>{{cite book |last1=Soucek |first1=Branko |title=Dynamic, Genetic, and Chaotic Programming: The Sixth-Generation Computer Technology Series |date=6 May 1992 |publisher=John Wiley & Sons, Inc |isbn=0-471-55717-X |page=11}}</ref>
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