News

Students of the Data Science and Business analytics double degree programme receive awards and letters of commendation for their academic achievements.

Ten universities and institutes have announced a partnership to construct an electron-positron collider in order to study the production and properties of charmed particles and tau leptons. The new experiment will be part of the Super C-Tau Factory project. It was founded by two international teams and eight from Russia, including HSE University.

The international conference Topology of Torus Actions and Related Topics organized by the International Laboratory of Algebraic Topology and its Applications and Sirius Mathematical Centre was held in Sochi on October 25-29.

Master of Data Science is Russia's first English-language master's programme delivered entirely online on the Coursera educational platform.

On October 26-30, Statistics, Artificial Intelligence, Machine Learning, Probability, Learning Theory Event (SAMPLE) conference took place in Gelendzhik, Russia.

The annual Conference on Empirical Methods in Natural Language Processing (EMNLP) takes place on November 7-11, 2021.

Mikhail Gorodov, a first-year student in the Data Science and Business Analytics double degree programme holds 28 diplomas in robotics. We asked him about his hobby when real football players will play with robots and his expectations from his studies.

Students of the Data Science and Business Analytics double degree programme work on individual and group projects every year. We asked third-year students Kamil Alyakaev and Stas Ushakov to talk about their project. Last year, this project earned Kamil and Stas a 1C:Scholarship.

35th Conference on Neural Information Processing Systems (NeurIPS 2021) is one of the world's largest conferences on machine learning and neural networks. It takes place on December 6-14, 2021.

Researchers of the Laboratory of Complex Systems Modeling and Control have proposed a missing component of the mechanism of self-organized criticality, which will enable the reproduction of power-law patterns observed in the real world. According to the researchers, this can be used to improve our understanding of the the processes leading to strong earthquakes, forest fires, financial market crashes, and a sudden synchronization of social networks. The results of the research were published in the Scientific Reports journal.