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News
September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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Автоматизация процедуры выбора микроконтроллера

Нано- и микросистемная техника. 2014. № 7. С. 14–21.
Ivanova E., Vishnekov A., Erokhin V.

   Currently many microcontrollers are produced around the world. They belong to different classes, thus may be used in different applications, they differ from each other in architecture and productivity of built-in-processors, peripheral set, memory volume, etc. But at the same time for the concrete task the only one microcontroller is necessary. Unfortunately, there is not "the best" microcontroller for all possible cases. Selection of the microcontroller is complex multicriteria task. The choice depends on many factors, for example the features of the task, designer's skill and preferences, required technical features of microcontroller, economical requirements and even of fashion in some sense. Precise methods for decision of such kinds of tasks are absent. The authors propose to solve the task of microprocessor choice using decision making theory in several steps. The first step is to define expert group. The group formulates criteria list as a base of future microcontroller choice, then during next steps number of choices is reduced sequentially and as result optimal in some sense microprocessor may be selected. The described approach of microcontroller choice may be automated.

Research target: Computer Science
Priority areas: engineering science
Language: Russian
Full text
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Keywords: микроконтроллерыпроизводительностьЭкспертЛицо, принимающее решение (ЛПР)microcontrollersПроектное решениеКритерии оценки качества проектного решенияproject designdecision-maker person (dmp)the design solutions quality criteriamicrocontroller's familyсемейство микроконтроллеров
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