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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.
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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?

Patterns of Knowledge-Intensive Business Services Use Across Europe

Foresight and STI Governance. 2022. Vol. 16. No. 1. P. 22–33.
Chichkanov N.

This paper examines the structure and the relevance of knowledge-intensive business services (KIBS) consumption for different industries. The research is based upon the analysis of national input-output tables for European countries presented in the last release of the World Input-Output Database (WIOD). The dataset allows for the identification of both the largest and the most intensive sectoral users of KIBS among different manufacturing, market services, and all other industries. The results confirm that the KIBS subsectors are very heterogeneous; patterns of consumption substantially differ across the six different types of KIBS that the data distinguish. It is suggested that these differences may be explained by the existence of specific synergies between each type of KIBS and some of the consuming industries.

Research target: Economics and Management
Language: English
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Keywords: patterns of consumptionEuropean countriesKnowledge-Intensive Business Services (KIBS)input-output tables
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