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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
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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
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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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Эволюция высокочастотной торговли

Вестник Российского экономического университета им. Г.В. Плеханова. 2018. № 2. С. 4–10.
Iskyandyarov R., Гришина О. А.

Present day exchange trade using computer algorithm (or high frequency robots) that can make independent trade decisions and function without man’s involvement is becoming quite usual. Intensive technological upgrading of finance markets fostered the development of high-frequency trade, thus ways of conducting trade transactions were transformed. In line with technology development the speed of transactions being carried out by high-frequency robots increased considerably during the last two decades. The majority of research dealing with assessment of highfrequency trade impact mention the wide spread of the latter and, consequently the growth in its market share, especially on stock exchanges. At the same time the drawback of various research is the limited analysis of reasons for high-frequency trade popularity and preconditions of its evolution. Apart from this many researchers neglected the fact that the development of high-frequency trade was promoted not only by technological evolution of computer systems but by legislative regulation, first of all in the USA. High-frequency trade was initially developed on US stock exchange and even today it is actually the only one news-maker in the field. The article reviews the key stages of exchange trade development, which foster establishment and evolution of high – frequency trade and shows legislative initiatives that caused its popularity. The authors present arguments for and against highfrequency trade and analyze current legislative initiatives that disclose potential trend aimed at the development of the system regulating high-frequency robots’ functioning. Keywords: high-frequency trade, HFT, exchange trade, exchange.

Language: Russian
DOI
Text on another site
Keywords: биржаexchangeбиржевые торгиhigh-frequency tradingвысокочастотная торговляHFT
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