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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
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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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Политическая наука и укрощение контингентности

Политическая экспертиза: ПОЛИТЭКС. 2019. Т. 15. № 1. С. 45–58.
Lokshin I.

The paper makes an attempt at inserting (positivistic) political science in a broader epistemological
context than it is usually conceived. The implied context is that of the contingency of the
human world which was pointed out by Aristotle in “Nicomachean Ethics” when he stated that
politics deals more with particulars than with general principles, and more with changeable than
stable things. Under the conditions of contingency, finding a foothold for thinking and acting becomes
a problem; political science is considered as one of the three “strategies” of dealing with
contingency, along with “political creativity” and “political virtù”. Political science as such aims at
finding invariants and regularities which govern the social world; “political creativity” is concerned
both with designing new invariants which would structure the social world and with making the
connection between causes and effects more reliable; finally, “political virtù” is what makes human
action less dependent on the invariants, and it can manifest itself in various forms – from the
Machiavellian virtù as such to “antifragility”. The choice of the strategy depends on the degree
of complexity of the process which has to be dealt with. The paper describes three strategies of
taming contingency, proposes a classification of the degrees of complexity of (social and political)
processes (elementary, simple, complex and chaotic) and derives some implications from the
general argument. These implications entail, among other things, that in the world which political
science studies there are no clear-cut boundaries between 1) knowledge and action, 2) scientific
knowledge and pragmatically oriented heuristics.

Research target: Political Science, International Relations, and Public Administration
Priority areas: humanitarian
Language: Russian
Full text
DOI
Keywords: political scienceполитическая наукаэвристикаcontingencyконтингентностьvirtuheuristicsvirtuэпистемология социальных наукepistemology of social sciences
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