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The 21st Lecture of the Annual Lecture Series on Computer Science and Programming in Memory of Academician A. P. Ershov Took Place at NSU

The 21st Lecture of the Annual Lecture Series on Computer Science and Programming in Memory of Academician A. P. Ershov Took Place at NSU

Published on: 2026-05-22

Source: Novosibirsk State University –

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A.P. Ershov Institute of Informatics Systems of the SB RAS,Mechanics and Mathematics Faculty of Novosibirsk State UniversityиAIRI Institute(Moscow) In the year of the 95th anniversary of the birth of academician Andrey Petrovich Ershov, on May 14-15, 2026, they heldMemorial Ershov Readings, within the framework of which took place21st lectureAn annual cycle of lectures on computer science and programming memory by the founder of the Siberian School of Programming, Academician Andrey Petrovich Ershov.

On May 15, 2026, a lecture on the topic “Development of Multi-agent Systems” was deliveredIvan Oseledets, Doctor of Physical and Mathematical Sciences, Professor of the Russian Academy of Sciences, General Director of the AIRI Institute, Dean of the Faculty of Artificial Intelligence at MSU. It covered modern global achievements and trends in the field of multi-agent systems and artificial intelligence, including the impressive developments of AIRI. About 180 attendees were present in person and 85 online at the lecture; it attracted great interest from the audience: after its completion, questions from the hall continued for at least half an hour. The lecture recording is available atRuTube channel of ISI SO RAN.

After this, an Agreement was signed between AIRI and the ISSI SO RAN, according to which the parties agreed on cooperation aimed at the implementation of scientific and technological developments focused on the study of the possibility of creating generative and other AI models in the field of computational biology and bioinformatics, as well as joint research on the possibility of developing system analysis algorithms modeled by Boolean functions using AI technologies to solve direct and inverse problems for Kauffman’s neural networks, used for modeling dynamic processes.

Material prepared by:According to the materials of the A. P. Ershov Institute of Informatics Systems of the Siberian Branch of the Russian Academy of Sciences

Photo:Institute of Systems Informatics named after A. P. Ershov SB RAS

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