Russia is set to invest nearly RUB 146bn (equivalent to $1.6bn) in the development of Artificial Intelligence (AI) technologies by 2030. The plan outlines the development of AI technologies across four key areas: advanced methods, natural language processing and speech synthesis, computer vision, and decision support systems.
The initiative aims to develop Russian algorithms, software, hardware systems, and libraries. It also includes the creation of educational programs for students and schoolchildren, and the organization of hackathons and other events to promote AI.
The federal budget will contribute slightly over RUB 33bn ($361mn) towards the implementation of the program, with the remainder being funded by third-party investors. Sberbank, the developer of the plan, is expected to be one of these investors.
By 2024, a minimum of 85 lectures aimed at popularizing AI will be conducted, with at least 85,000 students in attendance. Furthermore, a minimum of 116 hackathons (85 regional, 24 district, 7 international) will be organized, with at least 22,000 participants. The media coverage of the campaign to raise public awareness about potential AI applications is expected to reach at least 50 mn people, with the total reach of the campaign to increase trust in AI projected to be at least 32.1 mn people.
As part of international cooperation involving Russia, at least 111 standards in the field of AI are expected to be developed and approved by 2024.
Multimodal and multitasking models
Sberbank's endeavours in this domain involve the development of innovative models such as Kandinsky, Natal-E, and FusionBrain, aimed at enhancing resource optimization and user behaviour simulation.
Automatic Machine Learning (Auto ML)
Sberbank focuses on the creation of open-source frameworks like Lama and RePly, facilitating automated training and processing tasks. Additionally, the launch of PyTorch Lifestream libraries and AutoTS aims to streamline time-series analysis and preparation of various data sequences.
Inter prospective methods
Notable developments under this category include the ML Space platform and Data Science platform by Sberbank, along with initiatives from other institutions like the Institute of System Programming. These efforts are geared towards fostering an environment conducive to the creation and deployment of advanced machine learning models.
Investments in natural language processing, speech recognition, and synthesis
Moreover, the bank plans to invest RUB 5bn ($54.7mn) in advancing natural language processing and related technologies, with a focus on startups and research initiatives. Key projects include the development of virtual assistants and conversational AI models, aimed at enhancing user interactions and customer service.
Computer vision
Sberbank's substantial investment of RUB 9bn ($98.5mn) in computer vision technologies underscores its commitment to innovation in this field. Initiatives such as the creation of open models and frameworks, coupled with applications in various sectors like healthcare and agriculture, highlight the strategic importance of computer vision in driving technological progress.
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