Recently, Stanford joint MIT, Harvard, OpenAI other institutions and agencies issued the "2019 Annual Report AI Index" of a 291.
The up to 291 of the report analyzes the development of AI from the AI research & development, conferences, technical performance, economic, educational, automated systems, public awareness, sociological principles, national strategies and global AI vitality nine areas.
This article compiled a few points "Report", the account backstage reply keyword "report" to acquire 291 reports of the original English text download link.
Journals and conference papers 1. the number of papers published by Chinese scholars has surpassed the United States in 2006, and with a considerable number of Europe. But in the papers cited have not yet reached the global average on the relevant index, 50% lower than in the US.
The Scopus data, from 1998 to 2018, the number of AI papers worldwide grew by more than 300%, accounting for 3% of the amount of published peer-reviewed journals, the published accounts for 9% of the number of conference papers.
3.2018 years, the Chinese official AI research institutions published papers than the number of enterprises with nearly 300 times. But in the United States, the number of papers published by companies published papers than the number of government agencies 50% higher.
4.AI patents, from 1990 to 2018, North America contributed more than 51% of the total AI patent; 2015 to 2018, the number of Chinese patents AI issued only ranked No. 8; 2014 to 2018, North America's share of global AI Patent reference amount more than 60%.
5. In terms of calculation power, from October 2017 to July 2019 year and a half's time, on a cloud infrastructure, the time required to train a large-scale image classification system is reduced from about 3 hours to about 88 seconds.
6.2019, the global private sector investment in AI reached $ 700 billion, of which investment in AI start-up companies was $ 37 billion.
AI areas of 7.2019 years to get up to private investment is the automatic driving automotive sector, amounted to $ 7.7 billion, followed by medicine and cancer research, and face recognition.