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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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Whatever task Saraa Ali, Junior Research Fellow at the Laboratory of Methods for Big Data Analysis (LAMBDA) of the AI and Digital Science Institute (HSE Faculty of Computer Science), is working on, she thinks about how it can benefit people. She told the Young Scientists of HSE University project about her large family, diagnosing three-phase motors, and her dream of building a children’s home in her native country.
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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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Референтные страны и шоки социетальной безопасности России

Социологические исследования. 2024. № 12. С. 138–149.
Karacharovskiy V.

The article develops a hypothesis about the gravitational nature of societal security shocks as the phenomena of destabilizating the value core of societies because of critical changes on their geographical and cultural "borders". The category of "reference countries/societies" is introduced, the gap in the results of development with which leads to the loss of legitimacy of the path of development chosen by society. The assessment of the societal security level of Russia is carried out based on GDP per capita and HDI difference with the groups of countries historically and geopolitically connected with Russia (the "West World", the former "Socialist Bloc", the countries of the former USSR, the countries of the EAEU, BRICS and SCO). The difference of these indicators is adjusted with the Russians' interest to the countries. Then the gravity model of Russians' interest to other countries is estimated, using as the indicator of interest the statistical of Internet queries on Google Trends and Yandex Wordstat, and as an indicator of the distance the "cultural distance" between the countries, calculated based on Hofstede's indices. It is shown that the level of social security for Russia is maximal in relation to the SCO countries and minimal in relation to the countries of the "West World". Herewith Russian's interest is strongest to the group of geopolitical rivals (the "West World") and is moderate to the friendly countries (BRICS and SCO). The marginal interest in countries monotonically decreases with the growth of tourist flows to them (as a proxy-variable of saturation of information or experience about them). Finally, the inverse dependence of Russians' interest in countries on their "cultural distance" with Russia in the "West World" – "Global South" – other countries’ system is revealed.

Research target: Economics and Management Sociology (including Demography and Anthropology
Language: Russian
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Keywords: геополитикаgeopoliticsгравитационная модельреферентная группаcultural distanceкультурная дистанцияreference groupscountries of the worldsocietal securityсоциетальная безопасностьgravitational modelшоки безопасности
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