Post sponsored by NewzEngine.com

MIL OSI Translation. Region: Russian Federation –

Source: State University Higher School of Economics – State University “Higher School of Economics” –

In Beijing (PRC) the deanFaculty of Computer Science HSE Ivan Arzhantsev, director Department of Big Data and Information Retrieval of the Federal Computer Science Department Evgeny Sokolov and junior researcher at the Faculty of Computer Science Gleb Bazhenov took part in the “China – Russia Seminar on AI Talent Education and Technology Development”. The meeting organized by Yandex was aimed at discussing cooperation between leading Russian universities and Chinese Tsinghua University. This university is one of the world’s best universities, occupying in the international ranking of Times Higher Education 1st place in Asia and 12th in the world.

The seminar was attended by the vice-president of Tsinghua University, academician of the Chinese Academy of Sciences Jiang Peixue and the director of education at Yandex Daria Kozlova. Representatives of the Higher School of Economics, ITMO, and Skoltech made presentations. Employees of Yandex, Sberbank and Gazpromneft also took part in the seminar.

Daria Kozlova in her speech spoke about the need for active cooperation in the field of information security, robotics and artificial intelligence. As machine learning, generative AI, neural networks and large language models evolve rapidly, dialogue with foreign partners and joint assessment of the application of these technologies is critical. No university in the world can solve the problem of training AI talent on its own. This requires collaboration between industry, universities and the international scientific community.

HSE representatives spoke about the programs bachelor’s degree, master’s degree,postgraduate studies Andadditional professional education, related to AI, as well as about directions of research in the field of AI. For example, research was presented that is being carried out by the Federal Computer Science Center and Yandex as part of a jointscientific and educational laboratory.

“We were touched by the warm welcome and high-quality organization of the seminar, as well as the professionalism of the speakers on both sides. I would especially like to note the high level of development of the engineering component, in particular such areas as robotics and the Internet of things, among our Chinese colleagues. Online education is actively developing here, as well as methods for testing students using artificial intelligence technologies; this was also discussed a lot at the seminar. The meeting with the leaders of the famous online platform XuetangX, created at Tsinghua University in 2013 and currently numbering 128 million users, was very useful and informative,” said Ivan Arzhantsev.

Representatives of universities and industry discussed the challenges and opportunities in education offered by the development of artificial intelligence technologies, and cooperation between universities and enterprises. The seminar noted the need to conduct in-depth exchanges and discussions on the impact of generative AI technologies on education. Participants agreed that the workshop will improve mutual understanding between China and Russia in the field of artificial intelligence, promote the integration of relevant educational and research resources, and promote future-oriented pragmatic cooperation.

At the end of their trip, the Russian delegation visited the National Engineering Research Center for Big Data Systems Software, XuetangX Online and other departments of Tsinghua University.

Note; This information is raw content directly from the source of the information. This is exactly what the source states and does not reflect the position of MIL-OSI or its clients.

Please note; This information is raw content directly from the information source. It is accurate to what the source is stating and does not reflect the position of MIL-OSI or its clients.

EDITOR’S NOTE: This article is a translation. Apologies should the grammar and or sentence structure not be perfect.

MIL OSI News (multilanguage service)