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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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Regulatory technologies in traditional industries as an element of the digital transformation: Perspectives for development

Vestnik of Saint Petersburg University. Management. 2022. Vol. 21. No. 2. P. 237–262.
A. I. Altynov, Y. V. Turovets

The article considers regulatory technologies as one of the key topics in finance digitalization due to the consistent growth of fraud, compliance rules, and procedures. It also gains attention in other traditional industries to answer similar scope of challenges. Regulatory technologies have become a common element of digitalization which allows for effective management of a growing administrative burden and reduces associated risks. At the same time, regulatory technologies adoption can be considered as an indirect indicator of the digitalization effects, including the growth of regulatory burden. This paper identifies the main objectives of regulatory technologies adoption relevant to traditional industries (telecommunication, trade, manufacturing, transport, construction, energy and utilities, healthcare, public administration). Based on the results, the study offers the prospects for regulatory technologies development in these industries according to the proposed composite index. It comprises nine indicators in four groups measuring financial losses from fraud and data leakages, administrative compliance workload, the digital maturity of sectors. The results indicate that the highest potential for regulatory technologies adoption, apart from service (finance, telecommunication, trade), is significant for manufacturing and healthcare due to a high frequency of fraud, data breaches, high compliance costs, and new regulatory requirements associated with the increasing pace of digitalization. Keywords: regulatory technologies, financial services, digital transformation, traditional sectors, composite index.

Research target: Economics and Management
Language: English
DOI
Text on another site
Keywords: финансовые сервисыкомпозитный индексцифровая трансформацияregulatory technologiesрегуляторные технологии financial servicesdigital transformation
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