Development of neural networks in Russia
In terms of their influence on the world, neural networks can be compared to electricity or steam engines. This is another technological revolution that is already leading to changes in all areas, from everyday life to space technologies. But when talking about artificial intelligence, many focus on Western developments and achievements (the same Chat GPT). Of course, the achievements of Western developers cannot be underestimated, but the development of neural networks in Russia cannot be called lagging behind. What AI models have been developed in the Russian Federation, how and where they are used, what are the prospects for Russian-developed AI - we will tell you in the article.
Are there neural networks of Russian origin
You can ask this question to “Alice” or GigaChat, or enter it in the Yandex search bar to get a short answer from YaGPT. Yes, Russia has its own AI, which has been used for many years. Among the leading developers of artificial intelligence in the Russian Federation are Yandex and Sber, which are actively introducing new technologies into their products. But this does not mean that there are no others. Developers create highly specialized neural networks - for medicine, the financial sector, business, industry, even for cinema.
Examples
Yes, domestic neural networks are no longer news, but a part of everyday life, in all its areas. Today, more than 2,000 projects using AI have been created in Russia, more than 300 of which have received government support (that is, grants). Yes, the state is interested in the development of this area - since 2017, the ANO “Digital Economy” has been operating, and since 2019 - the Federal Project “Artificial Intelligence”, the National Strategy for the Development of AI.
But let’s get back to what developers offer us, ordinary users, at all levels. So, examples of neural networks in Russia:
- YaLM - today this neural network is built into all Yandex services and devices, including smart speakers, delivery robots and unmanned taxis.
- Kandinsky from BEAC - AI for generating pictures based on a text description.
- Gerwin – a product of the Gerwin.AI service, generates various content.
- GigaChat – a neural network from Sber. Can write texts, recognize speech and synthesize it, create pictures, chat bots.
- Shedevroom – another Yandex product for working with pictures.
- SberMedAI – a specialized AI from Sber, which is used in medical institutions.
- “Celsius” from the company “Medical screening systems”. It is used to recognize X-rays and CT images, to improve the accuracy of diagnostics.
- Webiomed – a product of the K-SKY company. A platform for diagnosing and predicting diseases.
- ABBYY – a service for translating texts from more than 100 languages.
- STC – AI for speech recognition, voice authentication.
- VisionLabs LUNA – a large platform for video stream analysis, facial recognition and other tasks related to machine vision.
- Sberbank VoiceAssistant – another Sber product created for managing banking operations.
- Digital Horizon – a development from Mail.ru Group for image recognition, classification and analysis. These are not all the developments, as the development of neural networks continues, and there are dozens of smaller-scale projects that are already used in a variety of fields.
Are there any advantages?
Yes, the development of artificial intelligence in Russia is quite fast. But the question arises, is it really necessary? Let’s look at the numbers:
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diagnostics of diseases became 7.4% more accurate;
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detection of cancer at early stages increased by 15%;
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the time for decoding CT and X-ray images decreased by 50%;
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about 80% of customer requests to banks are processed by AI;
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the efficiency of marketers increased by 30%;
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the growth of startups and innovations amounted to 170% - this indicates the rapid development of technologies using artificial intelligence;
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according to the results of scientific conferences and publications in journals on the topic of AI, Russia ranks 17th in the world;
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every 3rd large enterprise (with 10,000 employees) uses some or other AI-based solutions;
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in general, Russia’s GDP is projected to increase by 6% due to the development and implementation of neural networks.
AI is being implemented in all areas - social, industrial, banking, security, marketing, logistics, oil and gas production, agriculture. In the future, new versions of neural networks will be implemented even more actively - this will save time, resources, and reduce the influence of the human factor.
Results
In Russia, neural networks are being implemented everywhere. The development of this area is active, especially since it is supported by the state. And there are enough specialists to develop new models of artificial intelligence, both in large companies and in startups. Let’s not forget about students who are now mastering this area of IT.
The implementation and further development of neural networks will significantly improve both economic indicators and the effectiveness of research in science and medicine. These are great opportunities, and what is most pleasing is that Russia is not lagging behind other countries, and perhaps even ahead of them in some places.
