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).
The Master's Programme in Statistical Learning Theory was launched in 2017. It is run jointly with the Skolkovo Institute of Science and Technology (Skoltech). The programme trains future scientists to effectively carry out fundamental research and work on new challenging problems in statistical learning theory, one of the most promising fields of science. Yury Kemaev and Maxim Kaledin, from the first cohort of programme graduates, sat down with HSE News Service to talk about their studies and plans for the future.
Researchers have used machine learning to discover that the two most widespread DNA structures — stem-loops and quadruplexes — cause genome mutations that lead to cancer. The results of the study were published in BMC Cancer.
Part of the Centre of Deep Learning and Bayesian Methods and another partner project between Sberbank and HSE University’s Faculty of Computer Science, the laboratory will focus on applying machine learning methods to financial services.
The HSE Faculty of Computer Science and Yandex with the support of Sberbank are to organize the 2nd International Data Analysis Olympiad (IDAO). The Olympiad is held by leading experts in data analysis for their future colleagues and aims to bring together analysts, scientists, professionals, and junior researchers.
In July, HSE is launching two English-taught courses on Coursera. Enrollement for the courses is still open. The full list of online courses offered by HSE is available on HSE MOOCs page.
HSE and Samsung Electronics have signed an agreement to jointly implement the ‘IoT Samsung Academy’ programme. As part of this agreement, MIEM will start teaching specialists in the Internet of Things (IoT) from September 2018.
Researchers at HSE’s Laboratory of Methods for Big Data Analysis (LAMBDA) and the Yandex School of Data Analysis have significantly reduced the cost of CERN’s future SHiP detector. The detector will search for particles responsible for still unexplained phenomena in the Universe. With use of modern machine learning methods, LAMBDA and Yandex scientists came up with very effective configuration of magnets which protect the detector from background particles. As a result, the cost of the entire structure was reduced by 25%.
Samsung-HSE Laboratory will develop mechanisms of Bayesian inference in modern neural networks, which will solve a number of problems in deep learning. The laboratory team will be made up of the members of the Bayesian Methods Research Group — one of the strongest scientific groups in Russia in the field of machine learning and Bayesian inference. It will be headed by a professor of the Higher School of Economics Dmitry Vetrov.
On February 20, the first online stage of the International Data Analysis Olympiad (IDAO) was completed. IDAO was organised by the Faculty of Computer Science of the Higher School of Economics in partnership with Harbour.Space University (Barcelona), Yandex and with the Gold sponsor, Sberbank.
The IDAO (International Data Analysis Olympiad), created by leading experts in data analysis for their future colleagues, aims to bring together analysts, scientists, professionals, and junior researchers from all over the world on a single platform. This is the first time an event of this scale will be held in Russia. The HSE Faculty of Computer Science, Yandex and Harbour. Space University organize the Olympiad with the support of Sberbank.