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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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?

Lessons for a Policy Maker From Real-Life Self-Discovery in Economies With Weak Institutions

P. 225–248.
Gonchar K. R., Kuznetsov Y., Wade I.

Chapter 10 presents several examples of real-life smart spacialization processes in middle-income economies (such as Russia, Israel, Argentina) with a significant knowledge base but weak institutions. These cases are framed within a three-stage model, which explains growt and structural changes from a first-mover problem tot he issue of collective action or regional custer coordination problem to the critical mass problem, or how to acquire or build a bundle of highly specialized and interrelated institutions. The examples show that regional development is usually a by-product of the national or global success of the private first-movers, but the key challenge is around their clustering. The models and the examples show that the policy agenda for advanced and less-developed regions must be designed and implemented differently.

Language: English
Full text
Keywords: collective actionsmart specializationfirst moversregional clustering

In book

Advances in the theory and practice of smart specialization
Adnreescu L. L.: Elsevier, 2017.
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