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News
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.

 

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Между индексальным и иконическим: фотографии в контексте развития нейронных сетей

Артикульт. 2024. № 1(53). С. 48–63.
Fadeeva T., Staruseva-Persheeva A., Pronina A.

The rapid development of technoscience calls into question the usual ways of perception and traditional practices of information analysis, in particular, one of the challenges for the communication society has been the development of artificial intelligence capable of creating images that are almost indistinguishable from paintings and photographs, this is clearly visible in the discussions that are developing today around photography and push us to think about the semiotic shift taking place in this field. The article observes three ways for a photographer to work with neural networks, each of which has its own limits of applicability: image processing, image creation based on the style of a famous photographer, image generation "from scratch". The key examples of neural networks at the disposal of photographers and artists are analyzed, their features and expressive capabilities are indicated, as well as those aesthetic and semiological issues that are issues that are actualized by the introduction of artificial intelligence into photographic practice. Based on the results of the study, the authors come to the conclusion that the semiotic shifts occurring in the field of photography challenge traditional forms of representation and have a fundamental impact on how the categories of authorship and viewership can be understood in the modern sociocultural process.

Research target: Art History
Language: Russian
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DOI
Text on another site
Keywords: искусственный интеллектмашинное обучениесовременное искусствонейронные сетиneural networksmachine learningсовременная фотография contemporary art artificial intelligenceсontemporary photographyneurophotographygenerative photographyнейрофотоографиягенеративная фотография
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