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July 20, 2026
Scientists Create Open Dataset for Studying Concentration
A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.
July 20, 2026
‘Science Is Universal-It Knows No Borders
Fuad Aleskerov, Tenured Professor and Director of the International Centre of Decision Choice and Analysis at HSE University, together with his colleagues, has developed methods of network analysis in bibliometrics that have made it possible to identify patterns in the appearance and citation of publications in academic journals, as well as their influence on each other. When one or a number of studies are frequently cited by a wide range of journals, this is an indicator that the research is of high quality. By contrast, extensive cross-citation within a limited group of journals increases the likelihood of identifying a network of predatory publications.
July 20, 2026
Scientists Propose Method for More Efficient Resource Use in Machine Learning
An international group of researchers, including mathematicians from the AI and Digital Science Institute at the HSE Faculty of Computer Science, has provided a theoretical justification for a simple and computationally efficient method of estimating uncertainty in Stochastic Gradient Descent (SGD). The paper has been published on the scientific preprint server arXiv.org and presented at AISTATS 2026.

 

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Организация маршрута анимата на основе визуальных ориентиров

С. 251–262.
Karpova I. P.

A mechanism for memorizing the route that a mobile robot passes in search of a target object is considered. The basis of the proposed method is to memorize the path by visual reference points and fuzzy control. The benchmark is a compact group of objects that differ in color and size. A hierarchical procedure for recognizing landmarks and scenes is described. An algorithm for forming the route description is proposed. The rules for its interpretation include elements of spatial logic. The results of simulation obtained using the Kvorum modeling system are presented.

Language: Russian
Keywords: мобильный роботmobile robotspatial logicпространственная логикаscene recognitionраспознавание сценfuzzy controlнечеткое управление

In book

Интегрированные модели и мягкие вычисления в искусственном интеллекте. Сборник научных трудов IX-й Международной научно-практической конференции (Коломна, 19-22 мая 2019 г.)
Интегрированные модели и мягкие вычисления в искусственном интеллекте. Сборник научных трудов IX-й Международной научно-практической конференции (Коломна, 19-22 мая 2019 г.)
Переславль-Залесский: Российская ассоциация искусственного интеллекта, 2019.
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