Russian Researchers Unveil Mechanism Underlying Language Processing Disruptions in Epilepsy Patients
Researchers at HSE University and the Pirogov National Medical and Surgical Centre have examined alterations induced by epilepsy in the language-related neural network within the brain. Using graph-based analysis, the researchers studied fMRI data from 28 patients and found that in epilepsy, both hemispheres of the brain become activated during language processing and short connections form between the hemispheres, while long connections within one hemisphere are disrupted. The study has been published in Epilepsy&Behavior.
HSE University-St Petersburg to Hold Sixth HSEIMUN Conference
On April 6–8, HSE University-St Petersburg will hold the HSE International Model United Nations. Registration is open till March 1. Participation is open to both university and high school students.
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.
Early Molecular Diagnosis of Cancer Proven More Cost-Effective Than Subsequent Treatment of Advanced Disease
Applying expensive diagnostic methods in clinical practice will ultimately cost society 5 to 10 times less than the expenditures associated with late-stage cancer treatment, including subsequent disability pensions and sick leave payments—these are the findings from a study conducted by researchers at the HSE Faculty of Economic Sciences Marina Kolosnitsyna and Anastasia Vladimirskaya in collaboration with colleagues at EVOGEN, a medical genetic laboratory, and the Department of Health of the Yamalo-Nenets Autonomous Okrug. The study results have been published in Social Aspects of Population Health.
Russian Scientists Develop AI Algorithm for Faster Prediction of Earthquakes and Disease Outbreaks
Researchers at the HSE University AI Research Centre and Faculty of Computer Science have proposed a novel algorithm for detecting structural changes in time series. The method uses a neural network to compare various segments of a series, enabling rapid detection of changes in its behaviour. The results of their work have been presented at the 26th International Conference on Artificial Intelligence and Statistics— AISTATS (A*).
HSE and Indian Institute of Technology Delhi Agree on Joint Research Projects
HSE University-St Petersburg and the Indian Institute of Technology Delhi (IIT Delhi), a leading Indian university, have agreed to launch joint research projects in the field of social, political studies, humanities, and data analysis for master's students. On the Russian side, this work will be coordinated by the HSE St Petersburg School of Social Sciences.
Economists Suggest Using Media's Attention to Bitcoin to Predict its Returns
Researchers at the HSE Faculty of Economic Sciences have studied the relationship between the changes in the bitcoin prices and the media attention to this cryptocurrency. The researchers examined the mentions of bitcoin in the media between 2017 and 2021 and built a mathematical model that revealed the strong relationship between media attention and bitcoin prices. The study was published in the Applied Stochastic Models in Business and Industry journal.
‘The Competition Lets Students Feel Like Scientists’
On February 5, 2024, the award ceremony for the winners and laureates of the Student Research Paper Competition (SRPS) 2023 took place. The competition received 1,730 papers in 25 categories from university students across Russia.
HSE Researchers Teach Neural Networks to Better Detect Humour
A group of scientists from the HSE Faculty of Computer Science has conducted a study on the ability of neural networks to detect humour. It turns out that for more reliable recognition, it’s necessary to change the approach to creating datasets on which neural networks are trained. The scientists presented these results at one of the world's most important conferences on natural language processing — EMNLP 2023.
Researchers at HSE University Identify the Most Walkable Areas in Moscow
Experts at HSE University and Lomonosov Moscow State University examined the available data on Moscow's walkability and found the central and south-western parts of the city to be more walkable than others. However, the eastern and south-eastern areas are in need of improvements to make them more pedestrian-friendly. The study has been published in Cities.