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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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Противодействие обучению других и их «троянское» обучение: цифровые технологии в социальных практиках и исследованиях

Образовательная политика. 2024. Т. 3. № 99. С. 32–41.
Poddiakov A., Грудинин В. А.

Counteraction to others’ learning and their “Trojan horse” teaching (deceptive teaching that benefits the organizer and disadvantages the learners) is an urgent problem in various fields. Computer technologies play an increasingly important role in the organization of this counteraction and “Trojan horse” teaching. The technologies are used at different levels: from computer-to-computer adversarial poisoning attacks on machine learning to fraud in human interactions. In the article, some aspects of this problem are analyzed.
An empirical study of people’s help and counteraction to others’ learning in a competitive video game is presented. It arouses the participants’ keen interest and provides an opportunity to study strategies of help and counteraction to others’ learning. The methodology is promising in relation to further study of the topic — e. g., studies of
relationships between the strategies invented by participants and their cognitive and personal characteristics, design of new methods based on it, etc. In general, one can assume that development of technologies will continue to make significant contributions to interweaving of two fundamental types of interactions: (a) help to learning and development; and (b) counteraction to them.

Research target: Psychology Education
Language: Russian
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DOI
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Keywords: компьютерные технологии"троянское обучение"computer technology"Trojan horse" teaching
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