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News
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.
August 11, 2026
‘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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Acceptance of New Technologies by Employees in Financial Industry

Ch. 56. P. 2053–2080.
Belousova V., Solodkov V. M., Chichkanov N., Nikiforova E.

Banks now are facing strong competition from both technological giants and small fintech startups. Under these conditions, banks also have started to implement disruptive technologies in their day-to-day operations. However, in some cases huge investments in different technological systems do not lead to the increase in company performance due to the resistance of employees. In this paper, we focus on both internal and external factors that may influence employees’ labor productivity and performance of the whole company. The sample includes 148 employees with education in banking and finance. The model was estimated based on Partial Least Squares Structural Equation Modelling (PLS SEM). It was shown that both motivation to use disruptive technologies and digital skills have a strong impact of labor productivity, while both labor productivity and organisational support positively contribute to the improvement of company performance that is based on usage of new technologies.

Language: English
DOI
Text on another site
Keywords: банкиbankingemployeestechnology acceptancedisruptive technologiesпринятие технологий
Publication based on the results of:
Monitoring behavior of innovation actors: innovation activity of knowledge-intensive business services firms; innovation patterns of highly qualified R&D personnel (2019)

In book

Handbook of Financial Econometrics, Mathematics, Statistics, and Machine Learning (In 4 Volumes)
World Scientific Publishing Co. Pte. Ltd, 2020.
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