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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.
August 12, 2026
‘I Would Like My Research to Help Make the World a Calmer and Better Place
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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?

Automating of Human Resources Management using Genetic Algorithms

P. 436–444.
Sidorenko V., Markevich A.

Forecasting to improve resource efficiency is an important element for decision making. Based on predictive estimate we can form a performance management system and optimize the financial costs of team payroll.
The article presents the objective setting and solution of finding the optimal allocation of project team resources according to various criteria using genetic algorithm. Also we will set proposals for adapting created model to solving other human resource management tasks in the enterprise.

Language: English
Full text
DOI
Text on another site
Keywords: распределение ресурсовуправление проектомавтоматизированная информационная системаproject managementresources allocationautomated information-management systems

In book

Proceedings of IEEE East-West Design & Test Symposium (EWDTS'2019)
IEEE Computer Society, 2019.
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