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June 5, 2026
Neural Network Maps as a Method for Constructing Mathematical Models
Scientists from HSE University–Nizhny Novgorod and the Institute of Physics Belgrade, Serbia, are jointly exploring the application of machine learning techniques and neural networks to the study of nonlinear dynamics. Natalya Stankevich, Leading Research Fellow at the Laboratory of Topological Methods in Dynamics of the Faculty of Informatics, Mathematics, and Computer Science at HSE University–Nizhny Novgorod, spoke to the HSE News Service about this international project.
June 5, 2026
‘In the Age of Technology, It Is Interesting to Look into the Past and Think about What We Can Take from It
Polina Tabakova decided to apply for a Philology degree at HSE in Nizhny Novgorod because she grew up in Mari El and did not want to move far away from the Russian forests. In an interview for the Young Scientists of HSE University project, she spoke about the genre of the campus novel, the existential drama of Kolobok, and a blackout version of Eugene Onegin.
June 5, 2026
HSE Scientists Develop Method to Compress Large Language Models Without Losing Quality
Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science have developed a new compression method for large language models such as GPT and LLaMA that reduces their size by 25–36% without additional training or significant loss of accuracy. This is the first approach to use mathematical transformations—specifically, rotations of model weights—to make models more amenable to compression with structured matrices. The study results have been published in ACL Findings 2025. The code is available on GitHub.

 

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Методика оценки риска для окружающей среды от чрезвычайных ситуаций на химически опасных объектах

Безопасность труда в промышленности. 2022. № 5. С. 81–89.
Кудрявцев С. С., Емелин П. В., Н.К. Емелина

The relevance of the work is due to the lack of a unified methodology for assessing environmental risks from hazardous production objects in the Republic of Kazakhstan, which makes it especially in demand against the backdrop of an increase in the number of new enterprises. The aim of the work is to develop a methodology for multifactorial assessment of the environmental risk from the technogenic accidents at chemically hazardous objects. The methodology uses the method of expert assessments. Employees of the Industrial Safety Committee and the Ministry of Ecology, Geology and Natural Resources of the Republic of Kazakhstan and their territorial subdivisions,
employees of chemically hazardous objects responsible for their safe operation and environmental protection were involved as experts. Further, the statistical analysis and processing of expert assessments were carried out with the aim to determine the degree of agreement of expert opinions, to establish the final scores. This made it possible to determine the weight coefficients of the parameters and establish the final estimates for all valid values of the criteria parameters. The environmental risk of a chemically hazardous object is considered as a combination of indices of the environmental hazard of a chemically hazardous object, and the vulnerability of the environment from it. The first index is determined by the criterion parameters, united in 3 clusters: physicochemical, ecotoxicological properties of a hazardous chemical and its amount; technological equipment; and staff. After a quantitative assessment of the indicators using a matrix, it is possible to determine the level of environmental risk, both for a separate territory, and for zoning the entire territory around a chemically hazardous object. In the future, the creation of an information and analytical system based on the presented methodology will allow specialists to objectively and quickly analyze the state of the environmental safety at industrial objects, make informed management decisions aimed at reducing the environmental risk to the environment around the chemically hazardous objects, and monitor the efficiency of
the measures applied.
 

Research target: Environmental Biotechnologies Chemistry
Language: Russian
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Keywords: risk assessmentоценка рискаenvironmental riskэкологический рискпромышленная безопасностьenvironmental safetyхимическая безопасностьэкологическая безопасностьchemical safetyHazardous chemicals industrial safetyхимически опасное вещество
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