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.
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.’
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.
Мн.: Белорусский государственный университет, 2020.
Представлены научные работы, принимавшие участие в конкурсе ГИС-проектов студентов и аспирантов учреждений высшего образования Республики Беларусь в рамках празднования международного Дня ГИС-2020 на факультете географии и геоинформатики Белорусского государственного университета. Адресуется специалистам по геоинформационным технологиям, географам, гидрометеорологам, экологам, геологам, студентам географических и геологических специальностей ...
Goncharova E., Гайдель А. В., В кн.: Сборник трудов IV Международной конференции и молодёжной школы "Информационные технологии и нанотехнологии" (ИТНТ 2018).: Самара: Предприятие "Новая техника", 2018. С. 620–630.
To improve the performance of remote sensing images multiclass classification we propose two greedy algorithms of feature selection. The discriminant analysis criterion and regression coefficients are used as the measure of feature subset effectiveness in the first and second methods, respectively. The main benefit of the built algorithms is that they estimate not the individual ...
Litvin Y. V., Аудит и финансовый анализ 2010 № 4 С. 266–272
In real situations, the work of project-oriented businesses takes place in conditions of high uncertainty. In particular, the moments of the receipt of project execution time, as well as costs and other factors are yutsya-random numbers with given or unknown to the laws of the distributions. Management capabilities offered by the use of stochastic process ...
