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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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Имитационное моделирование процесса выдачи кредита в региональном коммерческом банке

Цифровая экономика. 2022. № 2(18). С. 72–81.
Ramenskaya A., Яркова О. Н.

To form a strategy for managing the lending process and credit risk, analysts of a credit organization need to have tools for modeling the lending process, which allows not only to assess the effectiveness of the lending process in the current situation, but also to assess risks in a changing economic environment. The purpose of this study is to develop and test a simulation model of the process of issuing a loan to retail bank customers, which makes it possible to evaluate overdue debts in dynamics, to model the organization's credit risks. The paper proposes a simulation model of the process of issuing loans in a regional commercial bank, using the concepts of discrete-event and agent-based modeling in the AnyLogic environment. The simulation model of the process of issuing loans makes it possible to evaluate the following indicators: the number of received and approved applications, the number of new bank customers, the dynamics of the amount of loans issued and the amount of overdue debt, the share of overdue debt for various values of the parameters of the loan portfolio. The model was tested on data on consumer lending in a regional commercial bank in Orenburg: calculations were made for the basic scenario of loan portfolio management; analysis of the sensitivity of the key indicators of the loan portfolio to changes in the external and internal environment was carried out. 

Research target: Mathematics Economics and Management Computer Science
Language: Russian
DOI
Text on another site
Keywords: имитационное моделированиеоценка рисковкоммерческий банкsimulation modelingдискретно-событийное моделированиеагентное моделированиеcommercial banksAgent modelingrisc management
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