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News
September 4, 2026
Time to Showcase Your Research: Applications Are Now Open for Student Research Paper Competition 2026
Taking part in the Student Research Paper Competition (SRPC) gives you an opportunity to present your research to experts, receive an independent assessment, and determine the future direction of your work. The competition is open to students graduating in 2026 not only from HSE University but from universities in Russia and abroad. Papers may be submitted in Russian and English, and in some fields also in French, German, and Spanish.
September 4, 2026
‘Hedgehog Versus ‘Relatives: Researchers Measure How the Brain Responds to Unexpected Words During Natural Speech
Russian neurophysiologists, including researchers from HSE University, have demonstrated the feasibility of using event-related fields (ERFs) to study brain activity during natural speech perception. The researchers showed that this approach can be applied not only to individual words but also to continuous speech. Their findings indicate that words whose meanings differ significantly from the preceding context require longer processing times. The study also reveals that the brain processes function words in two stages: first, it identifies their grammatical role and then uses this information to predict the next word. The study has been published in Frontiers in Human Neuroscience.
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.

 

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Анализ алгоритмов обнаружения дипфейков

Международный вестник криминалистики. 2024. № 92. С. 77–83.
Fedotov G.
Research target: Computer Science Mathematics
Language: Russian
Full text
Keywords: EM алгоритмглубокое обучениедипфейкиобнаружение дипфейковбиспектральный анализ
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Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence (UAI), PMLR Volume 337, 17-21 August 2026, KIT, Amsterdam, the Netherlands
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Изучаются законы взаимности, связанные с комплексными линейными расслоениями на расслоениях на ориентируемые окружности. В частности, доказывается следующий закон взаимности. Пусть B – комплексное многообразие и πi:Mi→B – расслоение на ориентируемые окружности, где индекс i пробегает конечное множество. Пусть Li и Ni – комплексные линейные расслоения на каждом многообразии Mi. Закон взаимности утверждает, что сумма всех элементов (πi)∗(c1(Li)∪c1(Ni)), где (πi)∗ – ...
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Proceedings of the 2026 Fourth International Conference on Distributed Computing and High Performance Computing (DCHPC)
IEEE, 2026.
On behalf of the Organizing Committee, it is my great pleasure to extend a warm welcome to all participants of the Fourth International IEEE Conference on Distributed Computing and High-Performance Computing (DCHPC 2026), held in Tehran from May 10–11, 2026. This conference is jointly organized by the School of Computer Science at the Institute for Research in Fundamental Sciences (IPM) ...
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Non-axiomatizability of modal predicate logics of Dedekind-complete linear orders with constant domains
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Minkowski mixed volume of n subpolytopes D1,…,Dn of a polytope P⊂Rn clearly does not exceed the normalized volume n!Vol(P). Equality holds if and only if the subpolytopes are interlaced, i.e., each proper face F⊊P intersects at least dim(F)+1 of the polytopes Di. Efficiently computing mixed volumes for more general collections of subpolytopes is crucial for estimating the complexity of numerically solving polynomial systems. Motivated by relaxing the bound dim(F)+1 to dim(F), we ...
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Added: August 31, 2026
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Added: February 25, 2026
Подходы 3D-реконструкции лица для обнаружения дипфейков
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Метод интерпретации обнаружения дипфейков с помощью графового внимания
Pikul A. S., В кн.: XIV Конгресс молодых ученых ИТМО. Сборник тезисов.: СПб.: Университет ИТМО, 2025.
Дипфейки – поддельные видео или изображения, созданные на основе технологий искусственного интеллекта. С их помощью можно нанести значительный ущерб в разных социальных областях: распространение дезинформации, разрушение репутации и подрыв доверия к цифровым медиа или конкретной личности. В основе современных методов обнаружения дипфейков используют глубокие нейронные сети, которые работают как "черные ящики", что затрудняет их использование ...
Added: December 13, 2025
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В настоящее время DeepFakes стали серьезной угрозой информационной безопасности, в частности, они стали угрозой для биометрической идентификации. Такая угроза вызывает необходимость разработки эффективных методов их обнаружения. В настоящий момент для решения задачи обнаружения DeepFakes наиболее широко применяются глубокие нейронные сети, визуальные трансформеры, а также обучение без учителя. В данном исследовании рассматривается подход обнаружения DeepFakes с ...
Added: December 12, 2025
Электронные доказательства, сгенерированные искусственным интеллектом
Попов В. В., В кн.: ТЕХНОЛОГИИ XXI ВЕКА В ЮРИСПРУДЕНЦИИ. Материалы седьмой международной научно-практической конференции.: Екатеринбург: АНО "Центр содействия развитию криминалистики «КримЛиб», 2025. С. 148–153.
The article examines the features of the use of electronic evidence generated by artificial intelligence in judicial proceedings. The concepts of artificial intelligence and deepfake are analyzed, and the possibilities of using AI-generated materials as evidence are identified. Special attention is paid to verifying the authenticity of electronic evidence for falsification in the context of ...
Added: September 29, 2025
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