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News
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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Разделяющие и объединяющие стимулирующие механизмы экологического регулирования (случаи промышленно развитых и развивающихся стран)

Математическая теория игр и ее приложения. 2011. Т. 3. № 2. С. 50–80.
Matveenko V., Korolev A. V.

A contract theory model is studied in which objective functions of a regulator and of two types of firms include ecological variables. It is shown that the choice of a way of functioning of the regulating mechanism (separating or pooling) depends both on political conditions (what kind of regulator defines the mechanism and the contracts) and on economic conditions: a difference between ''dirty'' and ''green'' firms in their efficiency and a degree of their prevalence in the economy. Under a small difference in values of parameter characterizing the types of firms it is shown that if, what seems to be typical for many developing and transition economies, the use of ''dirty'' technologies increases the rentability of the firms and the fraction of ''dirty'' firms in the economy is high then the pooling (non-market, in some sense) mechanism is chosen more often. Under conditions which seem to be typical for industrial countries, where ''green'' firms are relatively efficient, a separating (more market) mechanism can be expected more often.

Priority areas: economics state and public administration engineering science
Language: Russian
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Keywords: equilibriummenu of contractsecological regulationменю контрактовэкологическое регулированиеуровень загрязненияравновесиеPollution levelpooling mechanismseparating mechanismобъединяющий механизмразделяющий механизм
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