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News
November 6, 2026
Study Reveals Why Experienced Readers Sometimes Make Mistakes in Comprehension
Researchers at the HSE Centre for Language and Brain examined how people comprehend sentences in which the grammatical structure conveys a meaning that conflicts with assumptions based on their life experience. In an experiment, participants were asked to read sentences describing two characters and then identify which character had performed the action. The results showed that people with greater reading experience performed better when a character's actions matched their expectations but were more likely to make mistakes when the actions contradicted those expectations. The paper has been published in the Quarterly Journal of Experimental Psychology. The study was supported by a grant from the Russian Science Foundation.
November 6, 2026
Fall into ML 2026: From Fundamental Research to Discussions on the Future of AI
On October 23–24, HSE University hosted Fall into ML 2026, the fifth conference on machine learning and AI. Over the past five years, the event has grown from a small gathering of researchers into a flagship platform that brings together leading machine learning specialists, early-career researchers, students, and representatives of technology companies. The fifth edition marked a new stage in the development of the conference, with a programme that included discussions with international speakers, presentations of joint research projects, and tutorials on the latest trends in AI.
November 5, 2026
Masters Programmes and AI: Shaping the Future of Higher Education
From October 28 to 30, the 17th International Conference on Higher Education, ‘The (Non)Homogeneous Landscape of Higher Education: Institutions, Trajectories, Effects,’ took place at HSE University. Among the key topics discussed at the plenary sessions on the second and third days were the development of master's programmes and the application of AI in the learning process.

 

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Прогноз результатов чемпионата мира-2015 по легкой атлетике ме-тодами искусственного интеллекта

Современные проблемы науки и образования. 2014. № 4.
Yasnitsky L., Киросова А. В., Ратегова А. В., Черепанов Ф. М.

A computer program intended for detecting regularities and forecasting the results of men’s 100 m of the World Cup -2015 in track and field athletics is developed. The neural network based on the results of the previous World Cups and the Olympic Games lies in the heart of the program. The error of forecasts is no more than three percent. Besides forecasts the program allows to estimate the influence of the parameters’ change characterizing athletes on heir sports results, and also to select optimum combinations of these parameters for each athlete. The dependences of probability of a victory in the World Cup from age, weight, muscular weight, starting reaction and other parameters are received for some well-known athletes. By research of neuronetwork mathematical model recommendations about improvement of productivity of well-known athletes are developed: Useyn Bolte, Tyson Gay, Christoff Lemetr, Nessa Carter, Johan Blake and Justin Getlin.

Research target: Mathematics Computer Science
Priority areas: IT and mathematics
Language: Russian
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Keywords: искусственный интеллектcompetitionпрогнозstatistical informationartificial neural networksискусственные нейронные сетиartificial intelligenceспортивные соревнования
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