Architecture of a massive parallel processing nano brain operating 100 billion molecular neurons simultaneously

dc.creatorBandyopadhyay, Anirban
dc.creatorFujita, Daisuke
dc.creatorPati, Ranjit
dc.date2008-07-08
dc.date.accessioned2026-07-07T09:49:32Z
dc.date.available2026-07-07T09:49:32Z
dc.descriptionMolecular machines may resolve three distinct bottlenecks of scientific advancement. Nanofactories (Phoenix, 2003) composed of MM may produce atomically perfect products spending negligible amount of energy (Hess, 2004) thus alleviating the energy crisis. Computers made by MM operating thousands of bits at a time may match biological processors mimicking creativity and intelligence (Hall, 2007), thus far considered as the prerogative of nature. State-of-the-art brain surgeries are not yet fatal-less, MMs guided by a nano-brain may execute perfect bloodless surgery (Freitas, 2005). Even though all three bottlenecks converge to a single necessity of nano-brain, futurists and molecular engineers have remained silent on this issue. Our recent invention of 16 bit parallel processor is a first step in this direction (Bandyopadhyay, 2008). However, the device operates inside ultra-high vacuum chamber. For practical application, one needs to design a 3 D standalone architecture. Here, we identify the minimum nano-brain functions for practical applications and try to increase the size from 2 nm to 20 micro-m.
dc.description"Unedited preprint of an article to appear in the International Journal of Nanotechnology and Molecular Computation (forthcoming in 2009), published by IGI Global <www.igi-global.com/ijnmc>.", 44 pages, 9 Figures
dc.identifierhttps://arxiv.org/abs/0807.1202
dc.identifierhttp://arxiv.org/abs/0807.1202
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/164623
dc.subjectDisordered Systems and Neural Networks
dc.subjectAdaptation and Self-Organizing Systems
dc.subjectBiological Physics
dc.titleArchitecture of a massive parallel processing nano brain operating 100 billion molecular neurons simultaneously
dc.typetext

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