Tag «machine learning»

A research team from the HSE University Artificial Intelligence Centre led by Ivan Yamshchikov has developed a model to predict the success of efforts to rehabilitate homeless people. The model can predict the effectiveness of the work of organisations for the homeless with about 80% accuracy. The project was presented at a conference dedicated to the activities of social centres.

HSE scientists Andrey Korotayev and Ilya Medvedev used machine learning (ML) to build an index of instability in the world. The new method made it possible to use a large number of variables and distribute them in non-standard fashion.

A report by students of MIEM has won a prestigious prize at the 44^th International Conference on Telecommunications and Signal Processing organized by Brno University of Technology in the Czech Republic. The project by the HSE students was named the best student work by the organizing committee.

The second international Summer School on Machine Learning in Bioinformatics took place on August 23–27. This year’s school featured 533 participants from 53 countries.

The registration period for the International Data Analysis Olympiad (IDAO-2021) is open until March 12. The qualifying round has already begun and will run until March 31. This year, the HSE Faculty of Computer Science and Yandex are holding the Olympiad for the fourth time. This year's Platinum Partner is Otkritie Bank. The Olympiad is organised by leading data analysts for their future colleagues—early career analysts and scientists.

Professor Oleg Melnikov is among the international professors invited to work remotely with HSE University’s students this academic year. He lives in California, runs the Data Science department at a company in Palo Alto, and teaches at Stanford and other universities in the United States. At HSE University he teaches a course on machine learning for the students of the Faculty of Computer Science and the International College of Economics and Finance (ICEF), as well as a university-wide optional course, ‘Machine Learning in Python’. He spoke about his work in an interview with the HSE News Service.

Mikhail Guschin, Research Fellow at the HSE University Laboratory of Methods for Big Data Analysis of the Faculty of Computer Science, was appointed coordinator of the machine learning and statistics working group in the LHCb Large Hadron Collider experiment at CERN (the European Organization for Nuclear Research). He will be the only representative of a Russian University among the coordinators for the experiment’s working groups.

A mathematical model of Covid-19 spreading in Nizhny Novgorod Region, which has been created by the Big Data Laboratory at Nizhny Novgorod Development Strategy Project Office, has been widely discussed in the media and on social networks. The research was led by Anastasia Popova, a master’s student of HSE University in Nizhny Novgorod, repeat winner of machine learning competitions, and winner of Ilya Segalovich Award by Yandex. In the following interview given on April 15, Anastasia speaks about how the model was developed, the data it uses, and long-term potential applications.