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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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Parallel Computing Technologies. PaCT 2019. Lecture Notes in Computer Science, vol 11657

Springer, 2019.
Under the general editorship: V. Malyshkin
Chapters
An Experimental Study of Data Transfer Strategies for Execution of Scientific Workflows
Sukhoroslov O. V., , in: Parallel Computing Technologies. PaCT 2019. Lecture Notes in Computer Science, vol 11657.: Springer, 2019. P. 67–79.
The paper studies the impact of data transfer strategies on the execution of scientific workflows. Five strategies are described, which define when and in what order data transfers are performed during the workflow execution. The strategies are experimentally evaluated by means of simulation using a realistic network model. It is demonstrated that the execution time ...
Added: October 19, 2019
Preference based and fair resources selection in grid VOs
Toporkov V., Yemelyanov D., Toporkova A. S., , in: Parallel Computing Technologies. PaCT 2019. Lecture Notes in Computer Science, vol 11657.: Springer, 2019. P. 80–92.
In this work, a preference-based resources allocation algorithm for a job-flow scheduling in Grid virtual organizations (VOs) is proposed and studied. Users’ and resource providers’ preferences, VOs internal policies, resources geographical distribution along with local private utilization impose specific requirements for efficient scheduling according to different, usually contradictive, criteria. The algorithm performs resources selection optimization ...
Added: October 23, 2019
Priority areas: IT and mathematics
Language: English
Keywords: distributed computingparallel computing
Parallel Computing Technologies. PaCT 2019. Lecture Notes in Computer Science, vol 11657
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Growth in noncommutative algebras and entropy in derived categories
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ML-based Fast Simulation of FARICH Responses
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Iterative Ricci-Foster Curvature Flow with GMM-Based Edge Pruning: A Novel Approach to Community Detection
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Added: January 26, 2024
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Added: December 26, 2022
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Воронова К. Д., Plaksin M. A., В кн.: Дистанционное обучение – образовательная среда XXI века : материалы XII Междунар. науч.-метод. конф. (Республика Беларусь, Минск, 26 мая 2022 года).: Мн.: БГУИР, 2022. С. 163–163.
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Added: October 31, 2022
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The paper describes the experience of building distributed web applications based on the interactive computing technologies of the Jupyter project. The new architecture of such applications is proposed, considering the possibility of deploying a Jupyter notebook server separately from computing resources, and the possibility to interact with several computing resources simultaneously. These features are implemented ...
Added: October 30, 2022
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Added: October 30, 2022
Proceedings of the 9th International Conference "Distributed Computing and Grid Technologies in Science and Education" (GRID'2021), Dubna, Russia, July 5-9, 2021
CEUR Workshop Proceedings, 2021.
Added: October 30, 2022
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