HSE Scientists Leverage AI to Accelerate Advancement of 5G and 6G Wireless Communication Systems
The HSE Artificial Intelligence Centre has developed software for modelling radio channels in 5G and 6G wireless networks, based on ray tracing and machine learning techniques. Their software solutions enable modelling radio wave propagation between transmitters and receivers and can convert ray tracing data into a frame sequence format, configure and train neural networks based on this data, and subsequently save the trained models.
New Method Enables Dyslexia Detection within Minutes
HSE scientists have developed a novel method for detecting dyslexia in primary school students. It relies on a combination of machine learning algorithms, technology for recording eye movements during reading, and demographic data. The new method enables more accurate and faster detection of reading disorders, even at early stages, compared to traditional diagnostic assessments. The results have been published in PLOS ONE.
Mongolia's Forests Found to Be Poorly Adapted to Climate Change
Compared to meadows and steppes, the montane forest ecosystems in Northern Mongolia display less self-organisation, making them more susceptible to the impacts of climate change. This is the conclusion of a team of researchers led by Robert Sandlerskiy, Head of the International Laboratory of Landscape Ecology of the HSE Faculty of Geography and Geoinformation Technology. The results of the study have been published in a special issue of Entropy.