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  • Взаимодействие МИП с организациями инновационной инфраструктуры: результаты эмпирического исследования Нижегородской области
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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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?

Взаимодействие МИП с организациями инновационной инфраструктуры: результаты эмпирического исследования Нижегородской области

С. 20–25.
Butryumova N. N.

The article shows the results of the empirical study of the obstacles of small innovation companies’ development in Nizhny Novgorod region. Data was collected by interviews of the management of small innovative companies and representatives of the innovation infrastructure organizations. Such issues as intellectual property protection, collaboration between small innovation companies and innovation infrastructure, etc. were analyzed. The major attention was paid to financing of innovation projects.

Language: Russian
Full text
Keywords: Small innovation companies, innovation infrastructure, obstacles to developmentМалые инновационные предприятия, инновационная инфраструктура, барьеры развития

In book

Теории и практики управления: вызовы современности: сборник трудов VIII ежегодной (III международной) научно-практической конференции факультета менеджмента (4-5 апреля 2013г.)
Теории и практики управления: вызовы современности: сборник трудов VIII ежегодной (III международной) научно-практической конференции факультета менеджмента (4-5 апреля 2013г.)
СПб.: Отдел оперативной полиграфии НИУ ВШЭ – Санкт-Петербург, 2013.
Similar publications
Инновационный "пояс" университета
Власов В. А., Коваленко О. С., Селиванова Е. Е., Аккредитация в образовании 2009 № 7 (34) С. 34–36
В современных условиях высшая школа является базовым элементом национальной инновационной системы. И не только как площадка подготовки кадров, но и как источник генерации результатов интеллектуальной деятельности, поставщик рынка наукоемкой продукции, инициатор создания элементов инновационной инфраструктуры. ...
Added: May 16, 2019
СДЕРЖИВАЮЩИЕ ФАКТОРЫ РАЗВИТИЯ МАЛОГО ИННОВАЦИОННОГО БИЗНЕСА НИЖЕГОРОДСКОЙ ОБЛАСТИ: ВЗГЛЯД ИННОВАЦИОННОЙ ИНФРАСТРУКТУРЫ
Butryumova N. N., Карпычева С. А., Grischeva K. et al., Инновации 2014 № 5 С. 79–88
The purpose of the research is to identify impediments caused by inefficient collaboration between actors of innovation process and small innovation business in Nizhny Novgorod region. The objects of the study are organizations and institutions of the innovation infrastructure of the region. The subjects of the study are barriers to development of small innovative businesses ...
Added: November 20, 2014
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