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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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Реструктурирование в казымском диалекте хантыйского языка

С. 153–156.
Поцелуев В. А.
Language: Russian
Text on another site
Keywords: реструктурированиечастичный контрольнезависимая временная референция
Publication based on the results of:
Interface phenomena in grammar of languages of Russia: a formal approach (2021)

In book

Восемнадцатая конференция по типологии и грамматике для молодых исследователей. Тезисы докладов (Санкт-Петербург, 25–27 ноября 2021 г.)
СПб.: ИЛИ РАН, 2021.
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