“Computer science is aimed at self-improvement” – Science – Kommersant

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The Ilya Segalovich Scientific Prize was awarded for the third time in Moscow. They are awarded to young scientists for research in the field of computer science, as well as scientific leaders who train such specialists.

Yandex established the Ilya Segalovich Prize in 2019 to support researchers and the scientific community in Russia, Belarus and Kazakhstan. The laureates are engaged in research in computer vision, speech recognition and synthesis, machine learning, information retrieval, machine translation, and natural language processing.

The winners are selected by the Prize Council, which includes leading Yandex researchers and scientists – for example, Professor at Rutgers University in New Jersey and scientific director of the School of Data Analysis Ilya Muchnik, Professor at the University of California at Berkeley Alexei Efros and Professor at the University of Geneva Stanislav Smirnov.

This year, the winners of the Young Researchers nomination are:

Alexander Grishin – Postgraduate student at the Higher School of Economics, area: teaching and meta-teaching in RL (reinforcement learning);

Alexander Korotin – Postgraduate student of the Skolkovo Institute of Science and Technology, area: online machine learning, generative models and aggregating algorithms;

Dmitry Kovalev – Master’s student at Moscow Institute of Physics and Technology, area: machine learning optimization methods;

Oleg Svidchenko – Master’s student at the Higher School of Economics in St. Petersburg, area: research of agent systems and reinforcement learning systems.

In the category “Scientific Supervisors” the award was given to:

Alexey Artemov – Researcher at the Skolkovo Institute of Science and Technology, area: computer vision, including three-dimensional, and neural networks;

Alexey Shpilman – Head of the Center for Data Analysis and Machine Learning at the Higher School of Economics in St. Petersburg, area: applied artificial intelligence.

Computer science examines the operation of information technology from a mathematical and theoretical perspective. Ilya Segalovich Prize Laureate, Candidate of Physical and Mathematical Sciences, Researcher at the Skolkovo Institute of Science and Technology Alexei Artemov explains: “This area is in contact with all natural and social sciences, but now it is aimed at self-improvement – for example, at improving optimization methods or speed of calculations … Physicists and biologists are not always interested in optimization, but in order to quickly and efficiently solve applied problems, it is necessary to carry out a lot of such “internal” work. And computer science just allows you to provide it. This is a great art: there are many details and nuances. “

The industry is changing and developing so quickly that scientists do not always have time to follow all scientific works, discoveries and developments. In a year, Alexei Artyomov receives about 100 messages with marks about the citation of his scientific works (that is, three articles are published every week devoted directly to the topics of Alexei’s research), and this is not to mention the field of computer vision in general.

Despite the active development of computer science, difficulties arise, for example, associated with the complexity of learning from information-rich visual data, information collection and the human factor. Artemov is convinced: “Even such trivial questions as the fact that someone forgot to set up the camera should not be underestimated. This is a real world problem that will lead to missing data. Happy are those people who do not collect them. “

New technologies are being used in mass-produced products and are affecting our daily lives. But before they reach the IT industry, it’s the researchers who work on them. Over time, those things that were very complex at the time of their invention become generally available, perceived as simple and even supplanted by something even newer. The same is with research: what a year ago seemed to be something abstract and unapplicable, is beginning to be used everywhere.

Prize winner and graduate student of the Skolkovo Institute of Science and Technology Alexander Korotin is confident that research in the field of computer science benefits society: “Life will be simplified with the development of artificial intelligence – this is a great positive effect. Cars with autopilot appear, which will increase safety on the roads, recommendation systems already allow you to navigate the sea of ​​content, and voice assistants – to find out the necessary information by saying a question. “

Anastasia Sinyukova

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