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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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Структура ценностей во время пандемии COVID-19

Психология. Журнал Высшей школы экономики. 2023. Т. 20. № 4. С. 773–795.
Конюховская Ю. Е., Mitina O., Первичко Е. И., Чижова А. Р.

During the COVID-19 pandemic, people faced risks to their lives and health, con- cern for their loved ones, and restrictions that worsened their quality of life, so it is acceptable to assume that their values’ structure could change at the individual and group levels. The purpose of the study was a comparative analysis of the values’ structure of young people and middle- aged people at different stages of the COVID-19 pandemic. To measure the value profile, the Sh. Schwartz question- naire (PVQ-R) was used. Respondents filled it out in two stages. In the first stage, the questionnaire was filled out using the “retrospective assessment” method, that is, respondents were asked to recall their condition “before the pan- demic” (measurement 1) and “at the first wave” (in April 2020, measurement 2). At the second stage, they were asked to assesstheir current state after the “second wave”, when vaccination was spreading (January- March 2021, measurement 3). The study involved 108 respondents (86 women, and 22 men) aged 18 to 59 years. Generalized group value profiles of three measurements were compared. All values from the groups “Openness to change”, “Self-Affirmation” and “Universalism” had a “down-up” dynamic: they decreased during the “first wave” and increased with the weakening of the threat. For conservative values, the dynamics were the opposite of “up-down”, that is, during severe stress, the desire for social stability, compliance with rules, obli- gations, traditions increased, which per- formed a protective function. The values of an individual character decreased when a person felt a threat to his habitual exis- tence. The stability of the value system was also revealed: when the danger decreased, the value preferences returned to their original state. For age and gender differ- ences, it was found that the structure of values in women and young respondents is more “mobile”, compared with men and middle-aged respondents, respectively.

Research target: Psychology
Language: Russian
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Keywords: stressдинамика ценностей стрессCOVID-19 pandemicпандемия COVID-19Schwartz's value circledynamics of valuesgender and age differencescomparison of categorical structuresценностный круг Шварцаполовозрастные различиясравнение категориальных структур
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