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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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Обучение клиентов и динамика потребления сервисов облачной платформы

Вестник Московского университета. Серия 6: Экономика. 2025. Т. 60. № 2. С. 332–351.
Porosenkov G., Селезнева В. Н., Кизяков Д. А.

In order to optimize service utilization and enhance user accessibility IT service providers offer customer education. While research indicates positive impact of customer education on company performance, there is a scarcity of experimental studies evaluating its economic impact. The purpose of the study is to compare the dynamics of Yandex Cloud services consumption by client companies whose employees were trained and those who were not trained under the vendor's program. The training program involved participants completing the «Cloud Services Engineer» open online course offered by Yandex Cloud. The experimental group exhibited an average normalized increase of 4.4% in daily consumption of cloud platform services, whereas the control group showed a 2.2% increase. Difference between the two groups was significant (Kolmogorov-Smirnov test, KS = 0,14; p = 0,04). Given that cloud business revenue is often in billions of rubles, the difference of 2.2% can be considered large. The increase in consumption may suggest that the training has equipped employees with requisite knowledge and skills in cloud technologies, thereby enhancing their ability to effectively address professional challenges within the context of employer's operations. The findings may be applied in decision-making process regarding the establishment or enhancement of training programs for clients of cloud vendors. Additionally, these results may be helpful in training specialists to effectively articulate the value of their contributions to business.

Research target: Economics and Management
Language: Russian
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Keywords: потреблениеconsumptionоблачная платформаCloud platformlearning valuecustomer educationnormalized gainобучение клиентовценность обучениянормализованный приростn-gain
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