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AI has the potential to reduce the burden on clinicians and provide an efficient tool to workforces for accomplishing their tasks in a better way. For instance, AI voice-enabled symptom checkers can better access a situation and assist patients to the emergency department when immediate treatment is required. AI is expected to resolve around 20% of unmet healthcare demands.
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Artificial Intelligence (AI) is considered to be the next stupendous technological development, alike past developments such as the revolution of industries, the computer era, and the emergence of smartphone technology. The North American region is expected to dominate the industry due to the availability of high government funding, the presence of leading players, and strong technical base.
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The global artificial intelligence market is expected to reach USD 35,870.0 million by 2025 from its direct revenue sources, growing at a CAGR of 57.2% from 2017 to 2025, whereas it is expected to garner around USD 58,975.4 million by 2025 from its enabled revenue arenas, according to a new report by Grand View Research, Inc.
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The world would be a smarter place, if machines could think on their own. And humanity is progressing that way. Sit with us on this webinar to explore the Machine Learning Code. Register now! https://bit.ly/2q27SEo
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Artificial Intelligence (AI) is considered to be the next stupendous technological development, alike past developments such as the revolution of industries, the computer era, and the emergence of smartphone technology. The North American region is expected to dominate the industry due to the availability of high government funding, the presence of leading players, and strong technical base.
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My new article is published on ArXiv.org: "Unified Control and Data Flow Diagrams Applied to Software Engineering and other Systems". Between us, it is about priniples of system flows (see my earlier post) applied to software engineering. There are two types of flows there: flows of time(!!!) which are called Control Flows and flows of information called Data Flows. This allows to unify informational process interactions with material interactions desctibed in the "flows" presentation. Thus, paving a road to the allowing application of inventive principles and TRIZ to the most modern systems which, as a rule, unify material and informational subsystems.
One thing has to be added to the theory to become complete. This is flows in mathematics, i.e. interactions, infuences in mathematics (yes, it is possible, and, actually, widely used since the rise of mathematics). I am activelly working on it.
https://arxiv.org/abs/1610.02374

Я бы очень хотел, если у вас есть время, чтобы вы прочли и поняли мою статью
http://www.virtuar.com/triz/2014/flows.htm
Она по-английски.
 
Это теория представления системных взаимодействий.
На основании её, я всё-таки хочу написать программу "Автоматическое решение изобретательских задач".
Размышляю над этим долго. Должно получиться!
В качестве тестовых задач я использую задачи для обучению АРИЗ-у: про радиотелескоп, опыление цветка, ампулы. Т.е. которые я знаю хорошо.
 
Что вы думаете по данному поводу?

Фактически, я придумал язык по описанию систем во всём их многообразии.
 
Техническая задача сейчас - это написать транслятор с человеческого языка на этот язык. Затем "Решатель задач, т.е. машина вывода реализуется обычным программированием с поиском в реляционной базе данных знаний предоставленных ТРИЗом во всей их полноте и описанных на том языке.
 
Шаги, последовательность вывода, практически идентична шагам АРИЗ, что подчёркивает гениальность Альтшуллера. Да я всегда, с самой первой минуты знакомства, смотрел на АРИЗ как на потенциальный автоматический решатель. Лучше сказать наоборот. Шаги АРИЗ Альтшуллера взяты шагами автоматического алгоритма. Я всего лишь придумал универсальный язык описания систем на основе теории Вейника. Опять, это он придумал, а я всего-лишь пытаюсь применить, объединить Вейника и Альтшуллера.

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I invite TRIZ-niks who are interested in automatic problem solving to review my article:
http://www.virtuar.com/triz/2014/flows.htm
This is a theory of representation of system interactions.
Based on that I am going to write a program "Automatic solver of inventive problems". I am thinking on that for years (about 30). It would work ! As the test problems I am using conventional problems used in ARIZ training: about a radiotelescope, flower pollination, and ampoule, those which I know well. What do you think about it?
        Factually, what I did is I have developed a language to describe systems and their interactions in all complexity.
        Technical task now is to write a translator from human language to that language. Then, the problem solver, i.e. inference engine can be done with the regular software engineering work with the search in relation database through the predicates, knowledge provided by TRIZ in all their completeness ( it is huge and comprehencive ) which are describe with the same language.
    Inference steps are those what Altshuller put in his ARIZ ! It highlights the Altshuller's genius. My task was unification of the TRIZ with the basis of the system description language invented by Veinik ( unintentionally ).

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