Tag " machine learning"

Researchers from the HSE Faculty of Computer Science (FCS) presented their work at theInternational Conference on Machine Learning (ICML 2026) in Seoul, South Korea, one of the leading scientific events in the field. Several projects by the faculty’s researchers received the prestigious Spotlight distinction.

An international group of researchers, including mathematicians from the AI and Digital Science Institute at the HSE Faculty of Computer Science, has provided a theoretical justification for a simple and computationally efficient method of estimating uncertainty in Stochastic Gradient Descent (SGD). The paper has been published on the scientific preprint server arXiv.org and presented at AISTATS 2026.

Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

Researchers at HSE MIEM, in collaboration with colleagues from the Moscow Technical University of Communications and Informatics (MTUCI), have implemented a novel approach to designing microwave filters—generative synthesis using machine learning tools. The proposed method reduces the filter development cycle from several days to just a few minutes and in the future could be applied to the design of other microwave electronic devices. The results were presented at the IEEE International Conference '2026 Systems of Signals Generating and Processing in the Field of on Board Communications.'

Aleksei Shmelev conducts research in genomics and uses machine learning to explore the history of human populations. In this interview with the HSE Young Scientists project, he discusses the adaptive introgression of Tibetans and Denisovans and the use of IBD graphs to predict human population membership.

Management intellectualisation, synergy with AI, and the transition to microclouds are expected to be the main trends in the digital economy over the next decade. Experts in cloud technologies gathered at HSE University for a foresight session to discuss these trends and their evolution up to 2040. They explored how process intellectualisation would develop, as well as ideas for storing data in space to minimise environmental impact.