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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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Моделирование и оценка влияния инновационной системы на региональное развитие (на примере Новосибирской области)

С. 554–561.
Кравченко Н. А., Марков Л. С., Котелкин Д. Д., Халимова С. Р., Petukhova M.
Language: Russian
Full text
Keywords: региональная инновационная системаinnovation system

In book

XVI Апрельская международная научная конференция по проблемам развития экономики и общества: в 4 кн.
XVI Апрельская международная научная конференция по проблемам развития экономики и общества: в 4 кн.
Кн. 3. , М.: Издательский дом НИУ ВШЭ, 2016.
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Innovations are becoming critical for the sustainable development of the Russian Federation. Most of the research on innovation policy is concerned with the national level, but neglects some of the essential regional-scale factors. The main goal of the study was to explore institutional factors that stimulate innovation processes at the regional level. The paper substantiates ...
Added: December 2, 2019
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Added: February 15, 2019
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The article considers the question of regional innovation infrastructure development. Special attention is paid to the federal and regional policy, able to stimulate regional clusters foundation. Regional clusters are considered as a prerequisite for the regional economic prosperity. ...
Added: February 15, 2019
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Added: February 15, 2019
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The article discusses the features of the organization and development of innovation clusters in the region on the basis of cluster initiatives. This process is fundamentally different from the organization of the cluster based on cluster policy. The specifics of the process required to research the life cycle of cluster organization on the basis of ...
Added: December 2, 2018
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Added: November 29, 2018
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