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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.
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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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‘an actual present alive with multiple futures’: narrative, memory and time in Ben Lerner’s 10:04

Textual Practice. 2020. Vol. 34. No. 7. P. 1081–1102.
Bilmes L.

This essay reads Ben Lerner’s second novel, 10:04, alongside contemporary accounts of narrative time and digital memory technologies, arguing that this narrative reflects on a shift in temporality, whereby present experience is  relegated to future recollection. Bernard Stiegler provides a useful analysis of this situation, as his philosophical account of technics foregrounds memory’s reliance on technology, whereby the present is increasingly archived as a future memory. Stiegler also insists that every tool carries within itself a capacity for re-invention and projection into different futures, and this essay reads narrative form in this sense of an inventive technics capable of projecting us not into actual futures, but into a sense of future possibility. Lerner’s narrator may be read as seeking to open up the future by revisiting possibilities which his past self once imagined, and also by imagining future moments of retrospect from which he will one day have recounted his experience. It is in the mode of the anticipation of retrospection that a sense of the future is kept open in this novel, despite the temporally foreclosed structure of an already written narrative.

Research target: Other Humanities Philology and Linguistics
Priority areas: humanitarian
Language: English
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Keywords: будущееfutureнарративное времяавтобиографический нарративfuture anteriorautobiographical narrativesличная памятьpersonal memoryprolepsisBen LernerBernard StieglerБен ЛернерпролепсисБернар Стиглер
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