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August 13, 2026
‘Working with AI Solves a Wide Range of Engineering Problems
Artificial intelligence is a working tool based on a balanced combination of algorithms and engineering. Experts and doctoral students from the HSE Moscow Institute of Electronics and Mathematics explain how AI technologies can improve an application, device, or system, and what engineering tasks are solved in the process.
August 12, 2026
‘I Would Like My Research to Help Make the World a Calmer and Better Place
Whatever task Saraa Ali, Junior Research Fellow at the Laboratory of Methods for Big Data Analysis (LAMBDA) of the AI and Digital Science Institute (HSE Faculty of Computer Science), is working on, she thinks about how it can benefit people. She told the Young Scientists of HSE University project about her large family, diagnosing three-phase motors, and her dream of building a children’s home in her native country.
August 11, 2026
‘The Peak of Stupidity and ‘The Valley of Despair: HSE Economists Propose an Explanation for the Dunning–Kruger Effect
The Dunning–Kruger effect, which describes a sharp surge in self-confidence among beginners followed by an equally rapid decline as they gain experience, can be explained by the nature of the learning process and the acquisition of new knowledge. This conclusion was reached by Andrey Vorchik of the HSE Faculty of Economic Sciences together with independent researcher Murat Mamyshev. They developed a mathematical model of learning and demonstrated how subjective confidence is formed and changes as knowledge accumulates, as well as how teachers can reduce the ‘valley of despair’ experienced by learners.

 

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Нейрофизиологические корреляты автоматической обработки нулевой морфемы: данные вызванных потенциалов.

Журнал высшей нервной деятельности им. И.П. Павлова. 2022. Т. 72. № 5. С. 666–677.
Alexeeva M., Myachykov A., Shtyrov Y.

Language functioning as a communicative system is described by a multitude of linguistic theories, which are not always consistent with each other and do not have strong cognitive and/or neurobiological bases. One of the most striking examples is the “zero morpheme” proposed by the Universal Grammar theory, which has only an abstract meaning and no phonological representation (for example, null case affix: stol-Ø (Nominative; tableNOM) vs. stol-a (Accusative; tableACC)). To address the question of neurocognitive processing of the zero morpheme, we ran an EEG experiment with passive non-attend design. Experimental stimuli included phrases with correct and incorrect pronoun-verb gender agreement (null: he bought-Ø, filled: *he bought-FEM) and single verbs as a control. During the ERP analysis we found higher activation for the conditions of zero morpheme agreement violations (p = 0.036) started from ~200 ms (ELAN), reflecting an early automatic syntactic processing of the zero morpheme. Results support the priming hypothesis for conditions with zero morpheme and its activation during language processing.

Research target: Psychology Philology and Linguistics
Language: Russian
DOI
Text on another site
Keywords: speech processingобработка речиneurolinguisticsнейролингвистикаEEGЭЭГzero morphemeнулевая морфема
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