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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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The Global Seed Market, Competition Law and Intellectual Property Rights: Untying the Gordian Knot

2016.
Lianos I., Ivanov A., Dmitry Katalevsky
The paper explores the competition dynamics of the global seed market. It documents the growth strategies of the major seed companies, in particular their M&A activity and their reliance on complex intellectual property strategies in order to offer a one stop shop solution to farmers. Recent merger activity in this sector (the Monsanto bid to buy Syngenta, the DuPont and Dow merger deal, ChemChina’s bid to buy Syngenta) illustrates its rapid transformation from an already concentrated industry to a tight oligopoly on a global scale. The increasing global consolidation of this industry raises new challenges for competition law enforcement authorities dealing with the emergence of new powerful actors at the factor of production (input) level, in view of the broader concerns animating public policy in the food sector and the existence of a nexus of international commitments for biodiversity, sustainability, the right to food etc. By exploring this under-studied but fascinating area of competition law enforcement we open the debate over the inclusion of broader public interest concerns in competition policy and the consideration of its distributive impact from a global perspective.
Research target: Law
Priority areas: law
Language: English
Text on another site
Keywords: mergers and acquisitionscompetition lawsustainabilityantitrustbiodiversityglobal food value chainagricultural marketsseedsIP rightscontract agriculturecross-licensing agreementsplant variety protection rightsfactors of agricultural productionglobal commons
Publication based on the results of:
Правовая политика и вызовы глобального развития . Интеллектуальная собственность для общественного и экономического развития. Антимонопольное регулирование в новой экономике. Глобальные институты и регулирование финансовой системы (2015)
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