Chinese Journal of Nature ›› 2019, Vol. 41 ›› Issue (2): 79-84.doi: 10.3969/j.issn.0253-9608.2019.02.001

• Invited Special Paper •     Next Articles

Developing artificial intelligence with a down-to-earth approach

GUO Yike   

  1. School of Computer Science, Shanghai University, Shanghai 200444, China; Data Science Institute, Imperial College London, South Kensington Campus, London SW7 2AZ, UK
  • Received:2019-03-10 Online:2019-04-25 Published:2019-04-22

Abstract:

Today, artificial intelligence has been significant progress. The breakthrough development of machine learning has promoted the adaptation of artificial intelligence with a wide range of applications. Artificial intelligence become a new highland for the development of science and technology in the world, and all countries have made strategic investment. At the same time, the development of artificial intelligence has also presented us with a new challenge, introducing new topics in our ethics and social governance. While looking forward to the bright future of artificial intelligence, we must also clearly recognize the limitation of current state-of-the-art in artificial intelligence, especially machine learning. The basic methods and basic ideas are relatively still simple and rough. Today’s artificial intelligence is mainly focusing on the emulation of external function of the human intelligence. The development of artificial intelligence still needs to be continuously progressed in the understanding of the intelligent connotation. This article addresses the approaches for future development of artificial intelligence, especially the direction of machine learning research by emphasising a knowledge support and data driven methodology.