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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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?

Влияние халвинга на торговые показатели криптовалют

Финансы и бизнес. 2026. Т. 22. № 1. С. 62–78.
Kuslyaikin A.

Does halving matter for cryptocurrency trade dynamics? This question is in focus of current paper, providing the first comprehensive research on the issue. Results of event study indicate clearly that both cryptocurrency trading volumes and returns are highly affected by halving events, and effects for returns are less notable than for volumes. Prevailing pattern is the growth of cryptocurrency trading volumes with decrease of returns for at least several weeks around the halving event. In addition, it was found that the most significant effects on trade dynamics are associated with the earliest halving events, with dilution for further events. The results may be used in future research papers on cryptocurrencies as well as in cryptocurrency portfolio management.

Language: Russian
Text on another site
Keywords: факторные моделисобытийный анализmining event studyкриптовалютыalternative investmentsальтернативные инвестициимайнинг cryptocurrenciesmultifactor models
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