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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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China’s Stance on the Google/Motorola Merger: Implications for Competition in Intellectual Property-Intensive Sectors

Computer Law & Security Review. 2017. Vol. 33. No. 1. P. 103–111.
Quiang Yu
China’s merger enforcement agency approved the Google/Motorola merger with conditions. This pattern of approval is not in full accordance with that in other jurisdictions, including the United States and the European Union, which made unconditional approvals This contradiction attracted ample criticism; some critics believe that China’s policy is designed to protect domestic industry. In investigating the Chinese merger agency’s decision and the basis for its decision making, this article finds that much of the criticism is groundless and misleading because the critics have failed to incorporate all elements of the global value chain of mobile intelligent terminals into their analyses. The investigation also shows that, although the decision makers are less experienced, their decisions are based on Chinese competition law and market realities. It is important for international firms to be aware of this pattern in merger analysis.
Research target: Law
Priority areas: law
Language: English
Text on another site
Keywords: standardizationAndroid operating systemFRANDGlobal value chainGoogle/Motorola mergerStandard essential patent
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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