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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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Плоды Просвещения: общенаучная среда формирования экономики как науки

Эпистемология и философия науки. 2023. Т. 60. № 2. С. 187–205.
Ananyin O. I.

Economics as a science emerged during the Enlightenment, but the impact of the specific general scientific environment of that era on the transformation of pre-scientific economic knowledge into scientific knowledge has not been adequately covered in the historiography of economic thought. The formation of economic science took place in the period of the scientific revolution of the XVIIth and XVIIIth centuries. These were two interrelated but different processes. First of all, the transformation of economic knowledge followed fundamental changes in the economy itself – the formation of a market-type economy. At the same time, the emergence of a new discipline in the structure of scientific knowledge could not help but be guided by established standards of scholarship. However, at the time of the scientific revolution, science was in a state of turbulence: the old medieval norms of scholarship were losing their legitimacy, and the new ideals of scholarship had not yet attained the status of an accepted standard. The scientific programs associated with the names of Bacon, Descartes, Leibniz and Newton, as well as the new sociophilosophical doctrines, played different roles in different countries and at different stages of the scientific revolution. The article analyzes the peculiarities of the intellectual environment, in which scientific economic knowledge was shaped, and shows that it was much more diverse than the standard versions of the history of economic thought and earlier attempts (M. Foucault, Ph. Mirowski) to identify the influence of scientific ideals on its first schools of science suggest. Thus, the prerequisites for the formation of an alternative picture of the emergence of economic science as a result of the rivalry between its various concepts are created.

Research target: Philosophy, Ethics, and Religious Studies
Language: Russian
DOI
Text on another site
Keywords: экономическая наукакартезианствоистория экономической мыслинаучная революция XVII векаhistory of economic thoughtCartesianismscientific revolutioneconomic scienceBaconianismLeibnitianismNewtonianismRoyal SocietyбэконианстволейбницианствоньютонианствоЛондонское Королевское общество
Publication based on the results of:
Discourse of Literature and Discourse of Culture: Intellectual Practices from the Middle Ages to the Present Day (2023)
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