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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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Artificial Intelligence Development: Implications for China

Montenegrin Journal of Economics. 2023. Vol. 19. No. 1. P. 139–152.
Решетникова М. С., Михайлов И. А.

The Chinese government has developed ambitious policies for global leadership in the field of AI and economic growth. While China has made progress in several areas, it is lagging in developing its microelectronics sector. The purpose of the article is to advance the understanding of the relationship between technologies to manufacture integrated circuits (ICs) and the production capabilities of the Chinese AI industry. To this end, using the latest data on high-tech chip manufacturing in China from 2010 to 2019, this study examined the influence of import restrictions on the manufacture of high-tech equipment and the current state of IC production, and analyzed the opportunity to overcome dependence on foreign equipment and technologies. The results of the research show that (a) China has enough resources for production, especially in comparison with the leading chipmaking countries; (b) since 2016, there has, indeed, been a decline in the actual value of the chip market in China, which confirms the difficulties in connection with the imposed restrictive measures; and (c) there is a gap in the production chain in China precisely at the stage of creating the latestgeneration chips. To fully harness and scale the power of AI to achieve sustainable economic growth, Chinese policymakers should align import substitution strategies with appropriate business models and incentive structures.

Research target: Economics and Management Electronics and Electrical Engineering
Language: English
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DOI
Text on another site
Keywords: USAChinasustainabilityimport substitutionintegrated circuit artificial intelligence
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