Electronics, Mathematics and Communication Systems

HSE Tikhonov Moscow Institute of Electronics and Mathematics: Megacities of the Future

Evgeny Koucheryavy
Lecturer

Topic: AI Meets 5G: Where the Story Begins

5G cellular networks are assumed to be the key enabler and infrastructure provider for the future service including Industry 4.0, by offering a variety of services with diverse requirements. The standardization of 5G cellular networks is undergoing, it also implies more of the candidate technologies will be adopted. Therefore, it is worthwhile to provide insight into the candidate techniques as a whole and examine the design philosophy behind. In this lecture, we highlight one of the most fundamental features among the revolutionary techniques in the 5G era, i.e., there emerges initial intelligence in nearly every important aspect of cellular networks, including radio resource management, mobility management, service provisioning management, and so on. However, faced with ever-increasingly complicated configuration issues and blossoming new service requirements, it is still insufficient for 5G cellular networks if it lacks complete AI functionalities. During the lecture we survey AI challenges and implementation opportunities thus outlining development options.

Lev Shchur
Lecturer

Topic: Supercomputer Simulation and Big Data as the Basic Technologies in the 21st Century

Humans enter the new era in the development of society.

It is the era of information technologies. Recalling the border of the XIX-XX centuries with the emergence of the industrial technologies (the Ford Model T) which revolutionized the industry and the transportation, we can not only say that the revolution of communication is already here. We can predict the new style of administration and logistic, the new style of managing everything using artificial intelligence.

During our webinar we are focused on the two main streams of the information revolution. Firstly, it is methods of using supercomputers to simulate big problems arising in science and engineering. Secondly, it is the methods of managing the huge amount of unstructured information to get new knowledge (the artificial Archimedes!).