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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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?

European Practice of Building a Carbon-Free Economy

Ch. 3. P. 505–518.
Isachenko T. M., Medvedkova I.

The paper aims to analyze the European concerns and approaches to environmental protection and climate change and determine the main trade regulation tools applied by the block. The research methodology is based on the following methods. The method of induction allowed studying different approaches to environmental protection and their historical evolution. The axiomatic approach was applied to determine the connectivity between climate change and Industry 4.0. The synthesis of the methods mentioned above allowed the authors to argue that new environmental issues have been actively integrated into the international trade regulations in recent years. The new concepts such as “green growth,” “green economy,” and “green course” are not just national concerns anymore; these concepts have become an integral part of the current trade negotiations agenda. These concepts are increasingly used as an argument to support the implementation of trade measures regarding market access to goods and services for exports of certain industrial products. This approach is called “green protectionism.” Based on the analysis, the authors substantiate that the European Union, which launched the Green Deal program in 2019, is now most actively forcing the adaptation of its national legislation following the goals set. At the current stage of increasing protectionist tendencies in the world economy, the improvement of environmental requirements is an effective tool to curb foreign competition in completely legitimate ways.

Language: English
DOI
Text on another site
Keywords: European Green Dealenvironmental protectionismcarbon border adjustment mechanism green economyenvironmental regulationgreen course

In book

Current Problems of the Global Environmental Economy Under the Conditions of Climate Change and the Perspectives of Sustainable Development
Current Problems of the Global Environmental Economy Under the Conditions of Climate Change and the Perspectives of Sustainable Development
Medvedkova I., Isachenko T. M. Springer, 2023.
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