HSE Professor to Head Up Machine Learning Research at Samsung Centre for Artificial Intelligence
On May 29, Samsung opened its new Artificial Intelligence Centre in Moscow. Dmitry Vetrov, Professor of the HSE Faculty of Computer Science, will become one of its leaders and oversee research in machine learning.
The new centre will focus on computer vision and basic algorithms for artificial intelligence platforms. Furthermore, it will expand the range of Samsung's AI research with respect to such key areas as robotics and smart control systems. ‘Russia is rightfully considered one of the global centres in the technical sciences. Therefore, we are today opening the Centre for Artificial Intelligence in Moscow. We believe that this initiative will help us bring the AI to a new level,’ said Kim Ui Tack, President of Samsung Electronics’ CIS Headquarters.
At the Russian centre, Professor Vetrov will coordinate research into analyzing and developing solutions based on deep learning and the scalable Bayesian method. He will also develop new probabilistic models of neural networks and oversee their use in Samsung’s development tools. He notes that the centre’s opening will ‘contribute to the development of the industry and allow for the application of the achievements of Russian mathematics, which is distinguished by the professionalism of researchers.’
Furthermore, a number of employees of the Artificial Intelligence Centre will provide instruction at HSE’s Faculty of Computer Science. Students will be able take part in internships and conduct research, both at the new centre and the joint Samsung-HSE Laboratory at the Faculty of Computer Science.
Earlier this year, Samsung opened two AI centres in Cambridge (May 22) and Toronto (May 24).
Machine Learning Algorithm to Reduce Tester Workload
Researchers from HSE University and the Russian Technological University (RTU MIREA) have developed an intelligent system to automate software testing on a variety of platforms. Its computer vision feature is capable of recognising elements in a graphical user interface even after a redesign. The details are published in the Journal of the Siberian Federal University.
HSE University Hosts Third Summer School on Machine Learning in Bioinformatics
Between August 23rd and 25th, the HSE Faculty of Computer Science held its annual summer school on machine learning in bioinformatics. After two years of being held online, the school returned to an offline format for this year. Over three days, more than 120 participants attended lectures and seminars by leading experts in the field from institutions such as HSE University, Skoltech, AIRI, MSU, MIPT, Genotek, and Sber Artificial Intelligence Laboratory.
Machine Learning Helps Improve Perovskite Solar Cells
A team of researchers from HSE MIEM, LPI RAS, and the University of Southern California have applied machine learning to the analysis of internal defects in perovskite solar cells and proposed ways to improve their energy efficiency. The findings of the study performed on the Cs2AgBiBr6 double perovskite can be used to develop more efficient and durable perovskite-based materials. The paper has been published in the Journal of Physical Chemistry Letters.
HSE Faculty of Computer Science and Skoltech Hold Math of Machine Learning Olympiad 2022
HSE's Faculty of Computer Science and the Skolkovo Institute of Science and Technology have held the Mathematics of Machine Learning Olympiad for the fifth time. The participants competed for prizes and the opportunity to matriculate at two universities without exams by enrolling in the HSE and Skoltech joint master's programme in Math of Machine Learning.
Helping the Homeless with AI Technology
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.
Machine Learning has Helped Forecast Global Hotspots of Unrest and Revolution
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.
‘Recognition of Our Work Motivates Us to Continue Our Research’
A report by students of MIEM has won a prestigious prize at the 44th 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.
Summer School on Machine Learning in Bioinformatics Held at HSE University
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.
International Data Analysis Olympiad IDAO-2021 Has Started
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.
‘Borders Between Countries Are Becoming Blurred Thanks to Online Communication’
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.