Information and Communications Technology New Paradigm of Probabilistic Computing Could Inspire our Thinking through a Future World of Uncertainty -Part 1-
Romanian Distribution Committee Magazine, 2020, vol. 11, issue 2, 16-27
The paper analyses the premises of the Information and Communications Technology (ICT) probabilistic computing paradigm, in a critical point of ICT evolution, where it is largely agreed that Moore Law is going to an end and the future solutions for ICT progress are intensely searched, in order to keep the Information society (IS) toward Knowledge Based Society (KBS) progress pace. Also, the analysis considered the main consequences, for humankind, from this new ICT step with unprecedented challenges, including the economical, social, human behaviour and Earth environment ones. ICT, beyond being the main motor of IS/KBS, is an inspiration model of progress for almost all human activity domains, in many ways, revealing the complex and complicate mutual relations between human creation potential and the ICT advances. The paper analysis and literature quotations confirme, by relevant examples, author’s earlier estimations, that living things or biological systems (especially human brain) will be among the main inspirations/solutions for ICT revolutionary advances, including but not restricting to AI/ML. As main examples, the new technologies inspired by human brain model are analyzed, as this approach is manifest and very much exploited in the ICT development, but for surpassing the performances limits of advanced computing and AI, this is quite the most promising direction, including Pohoiki Springs, a data center which is Intel’s largest neuromorphic computing system that integrates 768 Loihi neuromorphic chips-inspired from the human brain, but being up to 1,000 times faster and 10,000 times more efficiently than conventional processors. As main advances toward unprecedented ICT performances, the paper approaches the ways that software could bring a decisive contribution to the ICT probabilistic computing paradigm. As a conclusion, the solution for such challenges comes naturally from the same human brain reference way of operation, pointing that our algorithms could mimic what human brain makes having fewer data and computing power. Such complex and relevant dependencies underneath the ICT context led to probabilistic computing and could compensate the uncertainties from rough data. From here, a prominent conclusion is revealed, as it is obvious that the combination of these concepts could further inspire many human processes of thinking/decision – our title main idea. Further, the paper also approached quantum computing, which is one of the most promising technology for ICT future, by pointing its relation with ‘probabilistic computing”, confirmed by gradually achievements like probabilistic bits (p-bits). It is confirmed that the actual state-of-art of quantum computing is still in the phase of basics and one of the major difficulties of quantum computing development comes from the specific very low temperatures, as Intel started with the silicon existing base, which revealed higher temperatures of operation. Such examples led to an important conclusion, as the flexibility of approaching diverse techniques/technologies solutions is an inherent feature of the probabilistic computing paradigm that drives this ICT development struggle, due to the logical approach of all events and their chances, in order to select and maximize the expected benefits. The need of flexibility comes also from the complexity and difficulty which characterizes the unprecedented levels of performances of the ICT actual development advances, which are hard to be improved, considering also all their consequences (positive/negative) associated with the context of these evolutions at Earth scale, including IoT, Data Deluge, climate changes, Earth resources fading and social unbalances. This complex and complicate context generates uncertainty, which logically requests a probabilistic approach for almost all decisions and projects, but that is naturally expected to be extended to the individual level, inspiring our thinking by the ways it advances. The final conclusion of the preliminary analysis and premises, is that a paper farther continuation is to be done, in order to obtain more valuable and detailed information about the consequences of the new ICT probabilistic computing paradigm, through all IS/KBS development and even for people’s way of thinking.
Keywords: probabilistic computing paradigm; quantum computing; probabilistic bits; Pohoiki Springs; neuromorphic computing system; Loihi neuromorphic chips; human brain (search for similar items in EconPapers)
JEL-codes: L63 L86 M15 O31 O33 (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:rdc:journl:v:11:y:2020:i:2:p:16-27
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