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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 Peak of Stupidity and ‘The Valley of Despair: HSE Economists Propose an Explanation for the Dunning–Kruger Effect
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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Современные и классические методы оценки и анализа финансового состояния компании. Монография

Cheboksary : -, 2020.
Sizykh N., Sizykh D.

The aim of the monograph is presentation of copyrighted research materials on modern methods for assessing and analyzing the financial condition of a company, including the development of matrix analysis, analysis of capital structure, proposals for the application of some new ratios, their comparative analysis, proposals for classifying ratios used for analysis. The second objective function of this monograph is to conduct a systematic analysis of modern areas and methods for assessing various indicators of the financial condition of the company and provide recommendations on their practical use for decision-making in management.

The monograph includes many practical examples with evaluation formulas and analysis of financial indicators. The author’s developments are presented in conjunction with other well-known modern and classical methods for assessing the financial condition of a company. Since some of the classical methods in a number of papers and information sources are presented in a slightly modified form (in particular, for example, bankruptcy assessment methods), careful work was carried out to compare them with the primary sources and to verify the possibility of their application on the recent data (practical approbation) . Therefore, in the monograph, these classical methods are brought into line with the primary sources, have relevant information links and are provided with analytical author's comments on the possibility of their practical application.

Priority areas: economics management IT and mathematics
Language: Russian
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Keywords: financial analysisфинансовый анализанализ финансового состоянияfinancial analysis and modelingматричный анализ
Современные и классические методы оценки и анализа финансового состояния компании. Монография
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