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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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Monitoring the research results on the toxic elements content (lead, cadmium and arsenic) in food

P. 1–7.
Ryskina H.

The high quality of the services provided is a component that determines the competitiveness of laboratories. It is necessary to update laboratories in modern conditions of the development of scientific and technological progress. Another important task is to ensure control of the quantitative content of toxic elements, the introduction and application of fast and reliable methods of their analysis. Analysis of monitoring the quantitative content of toxic elements in food samples confirms the need for analytical express control; its implementation allows tracking the content of potentially hazardous elements in products and preventing their influence on human health. The analysis of monitoring results for 2017-2019 showed the predominant ranges of toxic elements' concentrations in various categories of products. It was revealed that when the quantitative content of cadmium is detected, the maximum number of test results falls within the range of less than 0.001 mg/kg. In the case of the quantitative content of lead detection, the maximum number of test results falls within the range of less than 0.01 mg/kg; in the case of detecting arsenic, the range is less than 0.02 mg/kg.

Language: English
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The International Scientific and Practical Conference Biotechnology in the Agro-Industrial Complex and Sustainable Environmental Management 22 October 2020, Veliky Novgorod, Russian Federation
Vol. 613. , IOP Publishing, 2020.
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