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Subject
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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Digital Science: DSIC 2021

Vol. 381. Switzerland : Birkhauser/Springer, 2022.
Under the general editorship: T. Antipova

This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether
the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of
illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and
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The use of general descriptive names, registered names, trademarks, service marks, etc. in this
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Chapters
Creating and Using Synthetic Data for Neural Network Training, Using the Creation of a Neural Network Classifier of Online Social Network User Roles as an Example
Rabchevskiy A., Yasnitsky L., , in: Digital Science: DSIC 2021Vol. 381.: Switzerland: Birkhauser/Springer, 2022. P. 412–421.
Added: February 14, 2024
Problems and Negative Consequences of the Digitalization of Medicine
Куранов В. Г., Mirskikh I., Mingaleva Z. et al., , in: Digital Science: DSIC 2021Vol. 381.: Switzerland: Birkhauser/Springer, 2022. P. 445–455.
Digital technologies are widespread and used in various fields and areas of healthcare. The undoubted advantages associated with the possibility of remote access to many medical services have led to the rapid spread of digital medicine. However, the diverse use of digital technologies in medicine is accompanied by a number of negative factors. Some of ...
Added: September 10, 2026
Research target: Computer Science Engineering and Technology Medical Technologies Effective Natural Resource Management Social Sciences
Language: English
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Keywords: digital healthdigital economicsdigital educationDigital EngineeringDigital Environmental Sciences
Digital Science: DSIC 2021
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