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  • Пространственная организация патентной активности в атомной и ветровой энергетике в зарубежной Европе: концентрация и типы знания
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News
August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.
August 24, 2026
Researchers Develop Method for Direct Generation of Regulatory DNA
Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’
August 21, 2026
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.

 

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Пространственная организация патентной активности в атомной и ветровой энергетике в зарубежной Европе: концентрация и типы знания

Региональные исследования. 2024. № 3(85). С. 78–91.
Evgeny V.

In innovation research, geographical proximity between actors plays a special role in identifying knowledge types. It is the types of knowledge that determine the spatial pattern of innovation activity, in particular, the degree and nature of its concentration. The prevailing type of knowledge in the innovation process depends on the stage of development of the industry and the knowledge pool of the industry itself. Nuclear and wind energy, on the one hand, are at different stages of the innovation cycle, on the other hand, have different knowledge pools ‘in themselves’. This allows us to identify the spatial characteristics of the innovation process depending on the type of knowledge. European countries have technological leadership in the sectors, with nuclear and wind power being the most widespread carbon-free energy sources. Patent activity in both sectors in European countries tends to be concentrated, but its nature is different: in nuclear power five clusters have formed near large agglomerations and research institutes, while in wind power only one Danish-North German cluster in a medium-urbanized region with access to tacit practical knowledge has been finally formed. Knowledge spillovers in the nuclear power sector in the form of patent citations tend to be more concentrated due to the clusters, but in the case of joint patents the difference in distances between sectors is smaller. This indicates a high role of tacit forms of knowledge in wind energy, despite the weaker clustering of innovation activity. The distances between joint patent creators increase with the formalization of knowledge pools in both industries, and in nuclear power, as a declining industry, with the degradation of spatial links between innovators.

Research target: Earth Sciences Economics and Management
Language: Russian
Text on another site
Keywords: атомная энергетикаветроэнергетикаtacit knowledgeнеявное знаниеwind energygeography of innovationnuclear powerгеография инноваций
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