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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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Spatial features of entrepreneurial ecosystems

Journal of Business Research. 2022. Vol. 147. P. 27–36.
Brandao Fischer B., Meissner D., Vonortas N., Guerrero M.

Growing importance has been attached to the concept of Entrepreneurial Ecosystems (EE) as productive structures that encompass complex sets of interaction driving economic agents’ competitive capabilities. Drawing from biomimetism, the EE approach dedicates attention to unraveling the mechanisms through which socioeconomic environments organize to introduce new knowledge and innovations in markets. Yet, while challenges associated with identifying the spatial scale of natural ecosystems have long been part of discussions in the field of ecology and evolutionary biology, and in economic geography, the geographic reach of EE remains largely uncharted in literature. Importantly, from a biomimetic standpoint, we know that ecosystems’ boundaries must be defined according to their formative processes, rather than reflect predefined political or administrative boundaries. In this study, we try to shed some light on these topics, underscoring the analytical and methodological challenges associated with the spatiality of entrepreneurial ecosystems. Thinking about entrepreneurial ecosystems as fixed analytical units attached to administrative boundaries will likely cause an inadequate analytical understanding of how entrepreneurship-oriented relationships are distributed in space.

Research target: Economics and Management
Language: English
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Keywords: innovation ecosystemsentrepreneurial ecosystemsactors linkages
Publication based on the results of:
Impact of climate change agenda on innovation actors’ behaviour (2022)
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