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A working meeting was held at the K.A. Timiryazev Russian State Agrarian University–Moscow Agricultural Academy between university researchers and a delegation from the “Artificial Intelligence Alliance” Association, focusing on the development of artificial intelligence technologies for the agro-industrial complex and the training of specialized personnel. The meeting participants noted that the successful implementation of AI in the agro-industrial complex is impossible without a dedicated, robust database and specialized infrastructure.
They discussed prospects for collaboration on creating an industry-specific database for the agro-industrial complex, as well as methodological approaches to standardization, quality, and maintenance of industry data. It was specifically emphasized that the availability of high-quality and representative datasets is what determines the effectiveness of future artificial intelligence models.
The discussion also touched on current government initiatives in the field of artificial intelligence development, including efforts to coordinate the work of science, education, and business, and to establish consortia and centers of excellence that ensure the country’s technological sovereignty.
The discussion touched on current government initiatives in the field of artificial intelligence development, including efforts to coordinate the work of science, education, and business, and to establish consortia and centers of excellence that ensure the country’s technological sovereignty.
Valeria Vorobyova, CEO of the AI Alliance, emphasized that the Alliance is focusing on teams capable of transitioning AI work from the experimental stage to sustainable implementation practices. According to her, cultivating a pool of young specialists who understand the inner workings of AI systems, their risks, and the responsibilities involved at every stage of application directly determines the pace of the industry’s development and the real impact of these technologies on the economy and society.
Rector of the K.A. Timiryazev Russian State Agrarian University–Moscow Agricultural Academy, Academician of the Russian Academy of Sciences, Professor Vladimir Ivanovich Trukhachev noted that cooperation with the “Artificial Intelligence Alliance” opens up additional opportunities for the university to attract leading experts and practitioners to the educational process, update the AI curriculum in line with industry demands, and obtain timely professional expertise and support in developing this field. According to him, integrating the Alliance’s expertise with the university’s scientific and educational potential will enable more effective training of specialists capable of working with the latest digital technologies in the agro-industrial complex.
Following the meeting, a tour was organized of the university’s laboratories and departments working in the fields of artificial intelligence and the digital transformation of the agricultural sector, during which guests were introduced to the university’s key developments in AI for agriculture, as well as projects by students and young researchers. The solutions presented cover a wide range of tasks—from analyzing large sets of industry data and forecasting crop yields to using bioinformatics and intelligent image processing in crop and livestock production.
Following the meeting, participants exchanged views and identified areas for potential future collaboration: developing data infrastructure for the agribusiness sector, updating the AI agenda for the development of educational programs in the field of artificial intelligence, and involving students and young scientists in AI project activities with the participation of the Alliance and its industry partners.