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News
September 7, 2026
Biologists Discover 'Molecular Fingerprint' of Preeclampsia
Researchers at HSE University employed a new method to model hypoxia in placental cells during pregnancies complicated by preeclampsia and identified molecular markers of tissue hypoxia. Since hypoxia is one of the key mechanisms underlying preeclampsia, these findings are important for a more accurate and timely diagnosis of the disease and for the development of effective treatment methods. The paper has been published in Placenta.
September 7, 2026
‘Speech, Facial Expressions, and Gestures Cannot Lie
Would you like to know whether a speaker’s trembling voice or an accidental gesture can give them away? At HSE University in Nizhny Novgorod, researchers are developing an algorithm that analyses speech, facial expressions, and gestures, and determines whether information is truthful with 92% accuracy. The project has applications ranging from forensic examination and bank recruitment to fundamental research. Anna Khomenko, head of the research group and Senior Research Fellow at the Centre for Language and Brain at the HSE Faculty of Humanities in Nizhny Novgorod, explains how students and researchers are working together to create a corpus of video recordings, train a classifier, and prepare to introduce computer vision technology.
September 4, 2026
Time to Showcase Your Research: Applications Are Now Open for Student Research Paper Competition 2026
Taking part in the Student Research Paper Competition (SRPC) gives you an opportunity to present your research to experts, receive an independent assessment, and determine the future direction of your work. The competition is open to students graduating in 2026 not only from HSE University but from universities in Russia and abroad. Papers may be submitted in Russian and English, and in some fields also in French, German, and Spanish.

 

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Новые интерфейсы и новые медиаторы

Вопросы философии. 2025. № 10. С. 67–76.
Maksimenkova O. V., Сегал А. П.

The study is devoted to the humans and artificial intelligence (AI) interaction. The authors view this interaction as mediated by interfaces that both simplify it and hide the real mechanisms of encoding and decoding messages (according to Shannon). In such a situation, the characteristics of the actor of communication are blurred, and it is not the actor himself who appears as such, but his instru ment, and the message is not a decoded signal. However, taking a closer look at nowadays practices of interaction with AI, an invariance becomes noticeable, placing human interaction with AI in the general range of different types of pur poseful (human) activities. The authors, having identified this invariance (gen eral), offer their view of what is special, the specificity that is characteristic of “digital” interaction. According to the authors, modern intelligent tools make it possible to offer an “intermediate user” (a person included in the process at the stage of goal achievement). A goal formed in such a way that “on this side of the interface” it looks like it was set by AI. The authors consider the applied aspects of the situation and draw several quite interesting conclusions.

Research target: Computer Science Philosophy, Ethics, and Religious Studies
Language: Russian
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DOI
Text on another site
Keywords: искусственный интеллектсубъектинтерфейссознаниезнаниемышлениемедиаторconsciousnessinterfacethinkingразделение трудаобъектmediumартефактactorobjectknowledgedualityдвойственностьЧЕЛОВЕКО-МАШИННОЕ ВЗАИМОДЕЙСТВИЕhuman-computer interactionartifactинтерпретируемостьgenerative modelsinterpretabilityгенеративные моделибольшие языковые моделиlarge language models artificial intelligence division of labor
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