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* От Smart Farms до Quantum Computers и обратно

Ten Discoveries, Advances, Applications, and Assertions about AI, Agriculture, Asteroids and Quantum Behaviors including Computers and Populations

Connecting the Dots
Navigating the Labyrinth
Solving Deep Problems Better
Profiting Today from Tomorrow

Version 1.0 10.June.2018
Mirnova Institute for Creative and Innovative Science

These ten statements are here to provide the most succinct summary and introduction possible to what can be among the most exciting new developments in science and technology. We believe these integrations of people and research are contributing to something very valuable for our world.

§1 We take, as a fundamental basis of what we are doing, the following points:
• Certain “extreme complex systems” (XCS) require a significantly new type of computing architecture, one that appropriately incorporates new, trans-Turing methods for mapping and modeling very large and uncertain state-spaces into compute-spaces that can be employed in reasonable time and certainty.
• Such computing architectures go beyond the traditional Turing-machine model of computation which is built upon the focus of algorithms constructed of instruction for numerical calculations. The new architectures may be engineered using quantum computing methods, but engineered differently than in the manner of current Turing-type, qubit-based, numerical-intensive quantum computers. These machines are not exclusively of one modality of computation but are heterogeneous in design and function. We term this the Generalized Computing Machine (GCM).
• Developing such GCM systems takes time, open-ended resources, diverse and open minds and viewpoints, multidisciplinary skills, and a set of proper testbeds for continuous and consistent acquisition of data and comparison of modeling results in order to understand and refine the design of such new systems.
• In parallel, there are XCS problems in the present world that simultaneously demand attention and deliverable solutions and offer opportunities for economic profitability and growth to those who can master the problems and deliver reasonable solutions. These XCS problems are particularly in four sectors of life and business: agriculture, energy, environment, and space.
• The optimal path for developing a GCM that will perform well on different XCS and be sufficiently robust and reliable from the perspective of both systems engineering and economics is a path that proceeds hand-in-hand with well-understood technologies that operate within the system space of such XCS. For these reasons we have concentrated upon a few closely related XCS problems that can be best be addressed together, in parallel with the development of the GCM.
• The chosen XCS problems should also be such that there is a major need within society and substantive opportunities for economic growth. Thus we have focused upon agriculture, energy, environment, and space, beginning with agriculture and proceeding forward as all components of technology mature.

§2 We focus first upon control and optimization in agriculture and energy. We have proceeded to design and implement technology in the form of both software and electromechanical modules which serve principally those functions, but with capabilities for fully open integration with many other digital and analog systems, and not only within the agriculture and energy sectors.
All of this provides a basis for implementing a global base for information acquisition, analysis, evaluation and prediction, along with the necessary social and economic structures for commercial expansion and diversification. Beginning with farming and the introduction of intelligent control and optimization, we establish what is needed in terms of economic growth and the cumulative information and knowledge bases required to model, simulate, and ultimately field-test algorithms and systems leading up to GCM type machines.
Through this global base, consisting of thousands, then millions, and progressively, multiple billions of users, which offers distributed network and cloud-computing capabilities, we are able to perform modeling and simulation of extreme complex systems of a type that cannot be effectively processed on conventional computers but for which we can begin using precisely those conventional machines.
This leads directly into the domain of our fundamental research in quantum computing and the use of devices that operate on principles other than conventional bit-byte-register Turing machine computers. Of the latter, there are many so-called quantum computers. Of the former, there are very few and we are developing one such class of machine. Refinement and advancement of our quantum computing technologies, coupled with the distributed network systems, leads us toward the capability of systems that can perform many other extremely complex tasks. Some of these are related to conventional industry and finance, others to emergency response and management, others to space exploration and industrialization, others to medicine and healthcare.
We begin with agriculture because it is:
• a problem that is present at hand, demanding, and for which we have the resources to provide solutions
• an industry that is a requirement, not a luxury, for all people, everywhere
• a business where we can simultaneously make profits and do research leading to more complex and difficult XCS problems such as in energy, environment and space.

§3 EcoVita (comprising AgroIntel, IntelErgy, IntelEco subsystems) provides the foundation for an evolutionary leap forward in the following activities, markets, and business sectors. These commence with homes, small farms, small consumer-oriented businesses. These are initially growing in the vast rural and low-infrastructure areas of the world that are less developed economically and technologically than those countries which have dominated internet, mobile, and broadband markets thus far.
• Functional purposive task-directed social networking
• Internet appliances (“IoT”) for functional use in home, yard, neighborhood, farm, not only as personal gadgetry with a short-duration interest span for consumers
• Cloud-computing for individuals and communities who previously were never considered as significant computer, internet and e-commerce users
• Distributed network computing services of a type that can enable large, amorphous, asynchronous network-fields of computing resources including mobile devices and modules to provide the computing power, sustainability and security for many business and consumer functions (e.g., blockchain transactions and cryptocurrency mining)
• The technological and informational base and groundwork for a global-service Prediction Engine that is the predictive-analytics analog of conventional, historical search engines (e.g., Google).

§4 The growing agri-energy-environment market comprises initially hundreds of millions and unquestionably — with sustained, direct, inevitable growth – billions of people, including the vast majority of persons who are active with mobile and internet technology use presently. Geographically, this is Eurasia, all of it, and Africa, and South America, and the Pacific nations. Economically, it is dominated by SCO, ASEA, and BRICS.
AgroIntel and the other EcoVita (EVA) systems operate as networks of amorphous and heterogeneous processing. This is true across all EVA modules regardless of their initial or usual focus of application (e.g., intelligent farming). Each module is capable of taking on additional computing tasks (technically and semantically unrelated to any agric/energy tasks, for instance) that can be distributed (mapped, farmed-out) among the nodes of the network. These tasks can be diverse and not directly related to anything pertaining to specific, explicit agriculture or energy tasks that define a given module’s primary purposes.
Unlike personal computers and mobile devices, EVA is designed to conduct distributed network computing that is unrelated to specific fundamental tasks such as concern the energy, food, and environment needs of homes, gardens, farms, and other specific regional operations. What is the purpose and advantage of this capability? It all comes down to applications that many people and companies — including clients and customers of the EVA network owner-operators (e.g., farmers, ordinary householders) – want to run in reliable, distributed, ergonomic and economical ways and means.
Here is a concise statement:
EcoVita provides stochastic, distributed, heterogeneous processing networks that enable control of robots and agents in diversified, cooperative, asynchronous tasks. Such tasks include the employment of amorphous parts of the networks for assignable distributed multi-task processing. Examples of such tasks include blockchain and data mining including cryptocurrency-mining, simulation of massively large-scale events, simulated quantum algorithm computation, large-scale searches (e.g., molecular modeling in pharmacology), cybersecurity, and physical security.

§5 Qubit-based quantum computing challenges from decoherence of the qubit arrays can be assisted by use of different materials with specific constructive resonant frequency ranges that support rather than hinder the duration of entangled-state coherence. Such constructive frequencies have been studied extensively and are linked as well with cellular biology models of basic metabolism. This attention to the type of materials used in qubit electronics is particularly valuable for any type of QTC (quantum Turing-machine computer) because the coherence state must be maintained long enough for the various computations to proceed. Reliance upon extensive – and expensive, in both cost and operational complications – decoherence schemes that essentially employ additional qubit arrays in order to attempt preservation of the “kernel” coherence state, are fundamentally inhibitory to expansive and widespread use of the QTC type machines.
This approach to coherence is also applicable to non-qubit-based, trans-Turing quantum computing such as topological information resonance (TIR) models. Coherence and durability in molecular topologies is important for TIR performance to be a reliable means of mapping high-dimension state-spaces into molecular configurations which must then be maintained sufficiently for use in the topological computation processes.

§6 There is a direct connection and logical path from smart farming, and smart energy to Space, especially through those components involving robotics and multi-agent-based cybernetics. These lead in a straight path to the design of Space-based applications especially for tasks of these types:
• mechanical assembly of construction components
• mining and processing of geological materials
• asteroid manipulations for both mining and for deterrence of collisions and impacts
The technical plan for AgroIntel development, particularly with respect to new types of self-assembling, self-reconfigurable, multi-arm robots, cooperative n-axis robot teams, the manipulation of irregular, ill-formed and uncertain physical objects, and similar tasks, is based upon a common goal set that is not limited to only agriculture. The goals are to design a set of instruments and machines, and the control systems for their remote and autonomous operation, that will be translatable (functionally mappable) and convertible in a straightforward way from Earth-based operations in the agricultural setting to Space-based operations beginning with asteroids in near-earth proximity.

§7 Acquisition of massive streams of information within an EVA setting provides what is necessary for implementation of an intelligent prediction engine. We have begun building and refining the SELDON Prediction Engine logic using agriculture and energy information and then extending it to other areas of knowledge. The first testbed for a Prediction Engine is with farm operations, and then we move to energy and environmental management and thence into space-based tasks. The Prediction Engine needs the testbed platform that AgroIntel and other systems provide, and these in turn will benefit from the ability to make increasing intelligent forecasts and recommendations. The training of these systems will enable expansion of the prediction capabilities to other tasks beyond agriculture, energy and environment, in a more general manner such as seen in the historical evolution of search engines.

§8 Inherent within the application of EcoVita and similar technology is the human factor. This is the combined requirement and opportunity of engaging people in a different way than has ever been done before using computing and personal electronics. This is something in which we are engaged that involves both data and knowledge structures and also physical devices including cubits, qoins, and EVA modules. This will lead to consumer-use products such as CryptoFutures for option-based purchasing and product-based investments by mass consumers into producer-supplier-distributor companies). The net result is the transformation of social internet networking from merely “socializing” and into directed, purposive, practical functions. In turn this enhances engagement of people with each other in co-creative, inventive, and commercially viable activities.

§9 Building applications that can be used for everyday functions by the majority of people will, combined with more versatile and personalized education methods that begin with young children of diverse interests and capabilities and proceed into vocational training for adults, be a catalyst for dissolving the “digital divide” within society. Our approach will make the learning and use of the technologies attractive from an aesthetic perspective, generate more interest and attention by that majority of people in how they perform tasks. Accuracy, completeness, innovation and quality will receive more attention, and the results will be beneficial to all parties. This is a fundamental goal in everything we do. This is why we use as one of our mottos,


§10 Will we read, in the next few years, article with titles such as:

“Smart Farmers build Global Network used in field-testing Next Generation of Quantum Computer”

“Can Farmers – and Farms – and the networks of the devices they use to make their farms smarter and more efficient — Crack all sorts of encryption? Mine bitcoins? Defend the planet from rogue asteroids? Discover new medicines? Do quantum computing? Can they do all this at the same time as managing the farm, growing and harvesting the crops?”

Yes. Certainly. Something of the sort, definitely.

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