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May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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Многоликие антиконкурентные практики на цифровых рынках

Правоведение. 2021. Т. 63. № 4. С. 598–624.
Erofeeva E., Kotova D., Позднякова А. Э.

This article looks at some curious examples of restrictive practices typical for digital markets. Digital markets are a unique phenomenon for the new digital economy that is structurally based on and driven by digital platforms. The largest digital platforms such as Facebook or Amazon and large digital companies such as Google, Microsoft and Apple dominate the digital markets of today and thus have a huge potential to restrict competition in these dynamic markets. This article takes an analytical approach to several restrictive practices that have recently received attention from competition authorities around the world and have largely influenced law enforcement as well as our understanding of how digital markets function. First of all, the authors consider the so-called price parity clauses. Broadly speaking, these are a particular type of arrangements that oblige suppliers to not offer more favorable terms to their business partners than those offered to digital platforms (for example hotel websites as compared to online booking platforms). However, when narrowed down to contractual relations between a platform and a supplier, price parity clauses present a much more complex case. Further, the authors look at the multitude of restrictive practices in the online search market illustrated by a series of cases initiated against Google by the European Commission. By setting its search engine in a particular way, Google prioritized its own services so that they received more consumer traffic. Notably, these series of cases is just a part of the collection of anticompetitive tendencies in this market. Finally, this article looks at a less well-known, but all the more dangerous case of geo-blocking, which occurs when IP-protected content is blocked from distribution outside the framework that is reasonably justified by the protection of exclusive rights. Such cases must be examined through the complex relationship between the individualistic nature of IP rights and public interest. The collection of practices examined in the article highlights both the need to significantly reform competition enforcement and the need to rethink the role of competition law in the new economy.

Research target: Law
Language: Russian
Keywords: дискриминацияконкурентное правозащита конкуренциипаритет ценгеоблокингрынок интернет-поискацифровые рынки
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