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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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Global Systems for Sociopolitical Instability Forecasting and Their Efficiency. A Comparative Analysis

Comparative Sociology. 2022. No. 21. P. 64–104.
Korotayev A., Ilya Medvedev, Zinkina J.

This article offers a comparison of sociopolitical instability forecasting systems. It compares systematically their efficiency by correlating their predictions for particular years with actual levels of destabilization in the respective years. It is demonstrated that the predictive capacity of those systems dropped dramatically after 2011. This is shown to be connected with the fact that the Arab Spring in 2011 acted as a trigger for a global phase transition, resulting in the World System making a transition to a qualitatively new phase, with the emergence of new patterns that are not taken into account by forecasting systems developed before its beginning.

Research target: Political Science, International Relations, and Public Administration Sociology (including Demography and Anthropology
Language: English
Full text
DOI
Keywords: comparative sociologyForecastingCross-national comparisonsdiagnostics of violencemonitoring systems
Publication based on the results of:
New revolution wave at the Afrasian instability zone (2022)
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