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

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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

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.

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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.
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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.[1]

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