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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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Глобальная перестройка

M. : VES MIR, 2014.
Arbatov A., Арбатова Н. К., Afontsev S., Барановский В. Г., Вайнштейн Г. И., Войтоловский Ф. Г., Володин А. Г., Гельбрас В. Г., Gontmakher E. S., Дворкин В. З., Дынкин А. А., Жуков С. В., Загладин Н. В., Zagorsky A. V., Иванова Н. И., Калинина Н. И., Калядин А. Н., Кириченко Э. В., Козырев Н. И., Кондратьев В. Б., Кузнецов А. В., Лапкин В. В., Малышева Д. Б., Миркин Я. М., Mikheev V., Ознобищев С. К., Пантин В. И., Резникова О. Б., Рябов А. В., Садовая Е. С., Сауткина В. А., Сейфульмулюков И. А., Semenenko I. S., Топычников П. В., Фарнасова Т. У., Цапенко И. П., Чуфрин Г. И.
Editor-in-chief: Дынкин А. А., Иванова Н. И.

What is "new normal' in a post-crisis context? The contributors from the Institute of Global Economy and International Relations IIMEMO) of the Russian Academy of Sciences try to find an answer to that question by rethinking the new reality in different dimensions: economic, social and political. They analyze the search for new models of economic growth and for new approaches to financial markets regulation, the peculiarities of innovation policies and the latest developments in the oil and gas sector, the new corporate map of the world where state-owned companies are struggling to regain a special place. The social sphere is changing in strong correlation with the economy: governments are searching for adequate response to the challenges of social imbalances and migration; governments' policies are reshaped under the pressure of the democratic views of the 21st century individuals. These problems are typical of all countries, but are of particular relevance in the case of the 'new periphery' countries - the post-communist states. New trends are emerging on the political arena as well, where new realities are forming within a system of international relations - the process which becomes evident when we take a look at the transatlantic relations and the bilateral relations of USA and China. The very paradigm of international security is undergoing major transformation in the post-crisis period. The contributors illustrate this trend by analyzing selected examples of conflict settlement in AfPak and the Middle East regions. The crisis had a significant impact on the European integration as well.

The study book will be of interest not only to professional economists, sociologists and experts in international relations but also to a wider audience interested in to the current trends in global development.

Research target: Economics and Management Political Science, International Relations, and Public Administration
Priority areas: economics state and public administration
Language: Russian
Text on another site
Keywords: нефтегазовый секторглобализацияинновационная политикасоциальная сфераэкономический ростинновациимировая экономикамеждународная безопасностьсоциально-экономическое развитиефинансовая сфераевропейская интеграциярегиональная безопасностьтранснациональные корпорацииурегулирование конфликтовСистема международных отношенийПолицентричный мирамерикано-российские отношениясоциально-политические процессыГлобальное мироустройствотранс-атлантические отношения
Глобальная перестройка
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