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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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Future research avenues at the nexus of circular economy and digitalization

International Journal of Productivity and Performance Management. 2023. Vol. 72. No. 8. P. 2247–2269.
Burmaoglu S., Ozdemir Gungor D., Kirbac A., Saritas O.

Purpose

The authors posit that one of the key enablers of the circular economy will be the digital transformation – in other words, “digitalization.” In this study, the authors examine and visualize the interaction of the circular economy and digitalization by using scientific publications. They explore possible synergies and future research avenues at this junction.

Design/methodology/approach

The authors first apply bibliometrics to explore and visualize the relationships between the circular economy and digitalization in the academic literature. Following the clustering of topics, they define key emerging factors for each cluster. Based on this analysis, they suggest future research avenues.

Findings

The authors find that there are four main clusters at the junction of circular economy and digitalization, including (1) sharing economy, (2) additive manufacturing, (3) business models and (4) industrial ecology and remanufacturing. They then dig deeper into these topics to better understand what factors would shape the future of the clusters. They conclude that sharing economy perspective and additive manufacturing may be enhanced by regulation-based and behavioral change-based approaches. Circular business models should be developed to maintain circularity in industry. Finally, digital manufacturing should be implemented within the framework of industrial ecology and remanufacturing principles to increase efficiency, productivity and traceability in the circular economy.

Originality/value

Digitalization offers significant potentials toward breakthrough sustainability by creating a circular economy. Hence, understanding the relationship between circular economy and digitalization is important to achieve sustainable development goals.

Research target: Economics and Management
Language: English
Full text
DOI
Text on another site
Keywords: digitalizationbibliometricsCircular economy scientometrics
Publication based on the results of:
The new science, technology, and innovation agenda to address the grand challenges (2022)
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