HSE Researchers Demonstrate Effectiveness of Machine Learning in Forecasting Inflation
Inflation is a key indicator of economic stability, and being able to accurately forecast its levels across regions is crucial for governments, businesses, and households. Tatiana Bukina and Dmitry Kashin at HSE Campus in Perm have found that machine learning techniques outperform traditional econometric models in long-term inflation forecasting. The results of the study focused on several regions in the Privolzhskiy Federal District have been published in HSE Economic Journal.
Software for Rapid Detection of Dyslexia Developed in Russia
HSE scientists have developed a software tool for assessing the presence and degree of dyslexia in school students based on their gender, age, school grade, and eye-tracking data. The application is expected to be introduced into clinical practice in 2024. The underlying studies were conducted by specialists in machine learning and neurolinguistics at the HSE AI Research Centre.
Impact on Individual Consumer Discussed at GAMES Seminar
At the regular GAMES research seminar senior research fellow Aleksey Buzmakov presented his paper “To each according to his needs: selecting an impact with the utmost return for each individual”.
Mikhail Okunev — about trends in machine learning
HSE-Perm has hosted the first seminar of the GAMES research group in this academic year. The key speaker Mikhail Okunev told the audience about machine learning through the example of his work in Facebook, Google and Microsoft.
How to overcome the restrictions of formal concept analysis?
At the regular seminar of GAMES research group the new member of the group Aleksey Buzmakov (PhD) presented his thesis work focused on formal concept analysis for structured data mining.