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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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Транспарентность исполнительной власти в цифровую эпоху

Российский юридический журнал. 2021. № 4 (139). С. 20–31.
Silkin V.

The aim of the study is to define the main features of the realization of the principle of transparency of executive power in light of the use of automated systems of data processing. The focus is on the freely revelation by the state bodies of executive power of the information on the purposes, means and results of the use of such systems. The content of the principle of transparency of executive power is considered. Transparency is developing in a new way during the implementation of modern governance concepts, especially the open government ideas. Transparency could be defined both as a legal principle and as a political ideal delimitating this principle. The author reveals the peculiarities of transparency in the light of the use of big data and artificial intelligence technologies by the executive bodies. It is concluded that the appropriate balance between openness and confidentiality can be achieved by making available the general information on the purposes, means and results of the use of automated systems of data processing.

Language: Russian
DOI
Text on another site
Keywords: исполнительная властьэлектронное государствоОткрытое правительствоopen governmentоткрытостьтранспарентностьexecutive powere-Governmenttransparencyалгоритмыopenness
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