Translation. Region: Russian Federation –
Source: People's Republic of China in Russian – People's Republic of China in Russian –
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Source: People's Republic of China – State Council News
Moscow, December 10 (Xinhua) — Technological independence can only be achieved through open cooperation, and there are numerous opportunities for collaboration between Russia and China in the field of artificial intelligence (AI). Russian experts stated this in an interview with Xinhua at the Open Conference of the Institute for System Programming of the Russian Academy of Sciences (ISP RAS), which concluded on Wednesday.
Alexander Kraynov, Director of Artificial Intelligence Development at Yandex, outlined three main areas of Russian-Chinese cooperation in AI: the creation of shared open-source products, the development of alternative hardware, and enhanced scientific collaboration.
"In recent years, China has been taking the lead in open source. All major Chinese language models are now open source, which is absolutely fantastic. Creating large, shared open source products is a very important part of collaboration," noted A. Kraynov. He added that open source is a living technology. Its development is no longer limited to a small group of creators but rather a broader community, especially when a project reaches global prominence.
ISPRAS Director and RAS Academician Arutyun Avetisyan noted that the fragmentation of scientific data and the lack of effective collaboration between scientists are leading to serious problems, making the concept of open source software particularly relevant today. "Our idea is to use the open source model to create a situation where our scientists can develop core technologies. Each of our countries can then use these technologies at their own discretion, transforming them into products specific to their markets," the academician explained.
On Tuesday, the conference's plenary session opened the China-Russia Innovation Center for Artificial Intelligence Technology Transfer, a joint effort between the Institute for Systematic Problems of the Russian Academy of Sciences (ISP RAS) and the Shandong Center for Computer Science (National Supercomputer Center in Jinan). According to A. Avetisyan, the two sides will collaborate not only on fundamental research but also on the transfer of AI technologies to industry, public administration, and medicine.
"I'm all for open solutions. And our Chinese friends and partners see it that way too. Technological independence can only be achieved through cooperation; there are no other options for ensuring technological independence," the scientist emphasized.
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