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News
October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.
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.

 

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Сайнс-арт и китч: компьютерное искусство на основе больших языковых моделей

Коммуникации. Медиа. Дизайн. 2024. Т. 9. № 2. С. 45–64.
Milovidov S.

Today the emergence of large language models has led to the spread of popular graphic neural network generators (DALL-E, MidJourney, Stable Diffusion, Kandinsky, etc.). There was the reason of the widespread implementation and democratisation of artistic practices. The article analyses the processes of disappearance of the boundaries between art and kitsch in relation to computer art. The article considers the kitschisation of generative neural network graphics and the ways of overcoming it by means of appealing to scientific knowledge and the art direction of seins-art, as well as new artistic practices and contradictions arising in this connection.

Research target: Art History
Language: Russian
Full text
Text on another site
Keywords: искусственный интеллекттрансгуманизмtranshumanismнейросетиartificial intelligencescience artkitschкитчposthumanismПостгуманизм в искусствесайнс-артбольшие языковые моделиlarge language model (LLM)neural network
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