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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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?

Entrepreneurial Universities: Towards a Revised Paradigm

Ch. 3. P. 37–55.
Meissner D.

This chapter explains the entrepreneurial university concept and its place and role in the triple helix in its entirety. It further elaborates on its implications for university management, departments, faculty members and supporting organizations. Moreover it reflects the meaning of the entrepreneurial university for stakeholders, i.e., university boards, regional and national policy and administrative bodies, funding agencies, the business community, university ranking institutions and the global university community overall. The chapter provides a comprehensive understanding of the entrepreneurial university, which is increasingly important because stakeholders’ expectations towards universities are growing. This in turn leads to increased pressure on universities to move beyond their traditional roles and models towards taking responsibility for economic development, large scale basic education and targeted further education and the development of value from research. These expectations provide opportunities for universities, but impose threats on the existing models and practices. Recent literature on entrepreneurial universities is incomplete and mostly focused on the commercialization of research, technology transfer and the third mission of universities. The article expands the predominant thinking about entrepreneurial universities and gives a broader structured definition.

Language: English
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Keywords: Entrepreneurial universityпредпринимательский университеттройная спираль open innovationTriple helixActive innovationKnowledge Triangleтреугольник знанийUniversity-industry linkagesIndustry-science relationships

In book

Innovation and the Entrepreneurial University
Innovation and the Entrepreneurial University
Springer, 2018.
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