| Issue |
E3S Web Conf.
Volume 159, 2020
The 1st International Conference on Business Technology for a Sustainable Environmental System (BTSES-2020)
|
|
|---|---|---|
| Article Number | 04035 | |
| Number of page(s) | 10 | |
| Section | Chapter 4: Industry, Innovation, and Infrastructure | |
| DOI | https://doi.org/10.1051/e3sconf/202015904035 | |
| Published online | 24 March 2020 | |
Experience of Artificial Intelligence Implementation in Japan
Lomonosov Moscow State University 46, Leninskie Gory, Moscow, 119991, Russian Federation
* Corresponding author: lgbelova@bk.ru
The main purpose of this article is to identify the essence of artificial intelligence (AI), to determine its impact on various aspects of life and to specify the knowledge gained by studying the directions of AI application in one of the most advanced countries - Japan, the world leader in robotics. Main conclusions from the study: important characteristics of the modern approach to the AI phenomenon are: first, the human pattern that once guided and motivated AI research has largely been pushed out of sight; second, this is why certain views on what we should know and do with intelligent machines are gradually emerging; third, there is a growing need to combine the efforts of research institutes in different countries in studying the theoretical aspects of AI. Japan has very good prospects for establishing and developing bilateral AI cooperation with Russia and Kazakhstan.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.