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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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Финансирование культуры: современные подходы и модели

С. 89–110.
Abankina T.

The article presents a comparative analysis of three main approaches underlying the complex of instruments used in different countries to support arts and culture. The approach viewing culture as a patronized good corresponds to paternalistic model of the support for culture, the model implies making compensation of the objectively defined revenue deficit in the cultural institutions with the aid of budgetary allocations. Viewing culture as a factor of human capital development entails investment model to support cultural sector. The investment model means increasing government investment in the humanitarian field to ensure the transition to the innovation and knowledge-based economy and to sustainable social and economic growth. The third model views culture as the core of creative economy and corresponds to the stimulating support model. The stimulating model implies creating conditions for the creative industries development and creative class attraction, providing international competitiveness of the nations and cities in the global economy. The system of the support measures is analyzed for each of these approaches, using Russian and international practice.

Language: Russian
Text on another site
Keywords: культура как ядро креативной экономикикультура как опекаемое благофинансовые инструменты поддержки культурыпатерналистская модельстимулирующая модель поддержки культуры

In book

Культура в фокусе научных исследований: по материалам конференции памяти Б.Ю. Сорочкина. Сборник статей
М.: Государственный институт искусствознания, 2017.
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