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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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Обоснование выбора технологии перегрузочных работ с учетом особенностей функционирования объекта

Логистика и управление цепями поставок. 2017. № 3. С. 21–30.
Nikolaevskiy N., Пилипчук С. Ф., Спасский Я. Б.

The development of the domestic economy from the beginning of the 21st century is characterized by the growth of energy resources export volumes, including coal. That circumstance determined the increased demand for the design, research and modernization of export bulk cargo terminals. Growth of customers requirements and outdated standards, regulations and specifications define the need to improve design’ quality. An article covers issue of justification of material handling technology in the stockyard area of the export bulk cargo terminal within organizational and technical design. These terminals have a large throughput capacity and a unidirectional material flow which determine their narrow specialization and increased demands of ensuring reliability for terminals’ functioning. Providing of material handling technology in the stockyard area based on using specialized high-performance equipments with stream-flow transportation – stackers and reclaimers, as well as their combined type – stacker-reclaimers. That circumstance defined appropriateness of the problem research of equipment selection type (separate or combined) taking into account special aspects. To solve this problem, we used simulation methods that allowed to create a simulation model of the stockyard area functioning and to carry out experiments of parameters variation. The results allowed to estimate the range of incoming and outgoing flow intensity, which determines preference of choosing schemes with separate or combined equipment’ type. A formalized selection process by using the qualimetry methods based on a system of criteria was offered in reason of accounting special aspects of functioning within justification of the most effective material handling technology with increased accuracy. Mathematical tool, which used in proposed selection procedure, allows to taking into account many parameters, including qualitative characteristics, in spite of difficulty to present them in concrete values form. Thus, accounting special aspects of functioning becomes possible, which in general allows to substantiate the most effective material handling technology.

Research target: Natural Sciences Engineering and Technology
Priority areas: IT and mathematics engineering science
Language: Russian
Keywords: имитационное моделированиелогистическая системаsimulation modellingТерминал для экспорта сыпучих грузовlogistic system
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