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August 13, 2026
‘Working with AI Solves a Wide Range of Engineering Problems
Artificial intelligence is a working tool based on a balanced combination of algorithms and engineering. Experts and doctoral students from the HSE Moscow Institute of Electronics and Mathematics explain how AI technologies can improve an application, device, or system, and what engineering tasks are solved in the process.
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The Dunning–Kruger effect, which describes a sharp surge in self-confidence among beginners followed by an equally rapid decline as they gain experience, can be explained by the nature of the learning process and the acquisition of new knowledge. This conclusion was reached by Andrey Vorchik of the HSE Faculty of Economic Sciences together with independent researcher Murat Mamyshev. They developed a mathematical model of learning and demonstrated how subjective confidence is formed and changes as knowledge accumulates, as well as how teachers can reduce the ‘valley of despair’ experienced by learners.

 

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Industry 4.0 as a New Vector of Growth and Development of Knowledge Economy

P. 85–91.
Bogoviz A. V.

The purpose of the work is to study the possibilities of formation of Industry 4.0 as a new vector of growth and development of knowledge economy by the example of modern Russia and to develop recommendations for their practical implementation. For this, the method of dynamics (horizontal and trend) analysis of time rows and correlation analysis are used. The indicator of development of knowledge economy is the corresponding index that is prepared by the World Bank. The vectors of growth and development of knowledge economy are share of innovations-active companies in the structure of entrepreneurship, number of developed completely new leading production technologies, and share of high-tech spheres in economy (as the indicator of development of the sphere of science and education) according to the Federal State Statistics Service. The author shows that knowledge economy, which was developing dynamically at the initial stage of its formation, has slowed down. The existing growth vectors—innovational entrepreneurship, high-tech spheres of economy, and the sphere of science and education—have depleted their potential and cannot ensure its further development. It is necessary to look for such vectors, of which the most perspective is Industry 4.0, as formation of Industry 4.0 leads to growth of knowledge economy: innovational development, increase of the values of indicators of socio-economic development of economic system, and increase of the role of intellectual component of economy—the sphere of science and education. © Springer International Publishing AG, part of Springer Nature 2019.

Language: English
DOI
Keywords: high-techInnovationsModern Russianindustry 4.0Vector of growthDevelopment of knowledge economy

In book

Industry 4.0: Industrial Revolution of the 21st Century
Industry 4.0: Industrial Revolution of the 21st Century
Vol. 169. , Switzerland: Springer Publishing Company, 2019.
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