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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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Complexity in Big History. An Introductory Exploration

Journal of Big History. 2025. Vol. 8. No. 3. P. 98–139.
LePoire D., Grinin L. E., Korotayev A.

Building on foundational work in systems theory, thermodynamics, and evolutionary theory, this paper argues that complexity can serve as a conceptual bridge across disciplines. It explores the role of complexity dynamics in Big History through an integrative theoretical framework that spans physical, chemical, geological, biological, social, cognitive, and civilizational domains. By examining how complexity emerges, is sustained, and transforms across thresholds, as well as in different directions and dimensions, we seek to unify seemingly disparate phenomena under shared principles of selforganization, energy flow, and information processing. The aim is not to impose a rigid definition, let alone paradigm, but to offer a flexible, empirically grounded understanding of complexity, which may pave way to creation of a model that deepens our comprehension of the universe, its self-development and our place within it.

Research target: Political Science, International Relations, and Public Administration
Language: English
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Keywords: entropyself-organizationcomplexitycomplex adaptive systemsBig HistoryUniversal evolution dissipation
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