IPPI RAS (A. A. Kharkevich Institute of Information Transmission Problems of the Russian Academy of Sciences)

Company

Education and Science
Since 1961
Russia
Central Federal District of the Russian Federation
Moscow
Bolshoi Karetny per., 19, p. 1

Owners:
Russian Academy of Sciences (RAS)

Content

History
- 2025: Using the algorithms of Russian scientists in almost every smartphone in the world
- 2024: Development of the first neuristor in Russia, which will become the basis of neuromorphic computers
Notes

Owners

+ Government of the Russian Federation

The main goal of the institute is to carry out basic scientific research and applied developments in the field of problems of transmission, distribution, information processing and management in technical and living systems.

The main areas of scientific activity of the Institute are:

theory and practice of information and communication systems;
information, coding and control theories;
multicomponent random systems, theory and modeling;
Fundamental Physical Foundations of Information Transfer
information processes in living systems and bioinformatics;
computational linguistics and natural language modeling.

History

2025: Using the algorithms of Russian scientists in almost every smartphone in the world

Almost every modern smartphone in the world uses video and image processing algorithms, as well as digital communication protocols developed at one time by Russian specialists. This was announced in mid-June 2025 by the head of the A. A. Kharkevich Institute for Information Transmission of the Russian Academy of Sciences (IPPI RAS) Maxim Fedorov.

According to him, researchers at the IPPI RAS made a significant contribution to the development of world science. The institute's developments are used in many computer vision, image analysis, digital communication, and predictive modeling systems around the world.

Almost every smartphone in the world uses algorithms of Russian scientists

Without exaggeration, I can say that the outstanding minds of the IPPI have done a lot for the country and world science. The fundamental contribution of the institute is difficult to assess, because algorithms are not patented, - said Fedorov.

One of the key areas of work of the IPPI RAS, as Fedorov notes, is digital communication with a focus on noise-resistant coding and noise-resistant signal transmission. In addition, research is underway in the field of broadband. Fedorov named machine learning and information theory as other important areas of research related to digital technologies.

In relation to artificial intelligence, Fedorov believes that its use in the field of education may carry some dangers. On the one hand, AI frees educators from doing routine work, allowing them to focus on more creative tasks. But, on the other hand, the widespread introduction of AI can lead to the fact that students will unnecessarily rely on neural networks.

I am opposed to the widespread use of AI in education. The problem is not that AI is bad, but in possible scenarios of human degradation, "Fedorov said.^[1]

2024: Development of the first neuristor in Russia, which will become the basis of neuromorphic computers

On June 21, 2024, it became known that Russian scientists developed the first domestic neuristor, which will become the basis for the creation of a neuromorphic computer.

The new technology represents a fundamentally new approach to creating computing systems that mimics the work of the human brain. Neuristors, being elements that can process and store information at the same time, will significantly increase the speed and efficiency of calculations.

Russian scientists have developed the first domestic neuristor

The neuristor was developed by a team of scientists led by Professor Ivan Petrov from the A.A. Kharkevich Institute for Information Transmission of the Russian Academy of Sciences. Petrov noted that the creation of a neuristor is a significant step forward in the field of neuromorphic computing and opens up new prospects for the development of artificial intelligence in Russia.

An important aspect of development is the use of domestic materials and technologies, which ensures independence from foreign supplies. According to TASS, this is especially true in the context of modern economic and political realities, when sanctions restrictions can seriously affect the development of high-tech industries.

Our neuristor is able not only to perform operations similar to those in traditional computers, but also to process information with a high degree of parallelism, which makes it ideal for machine learning tasks and neural networks, "Professor Petrov emphasized.

The development of the neuristor also attracted the attention of domestic electronics manufacturers and IT companies. It is planned to start industrial production of neuristors for their use in various fields, including the defense industry, medicine and the financial sector.^[2]

Notes

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