期刊文献+

大数据和机器智能对未来社会的影响 被引量:21

Big Data, Machine Intelligence and Their Impacts to the Future World
下载PDF
导出
摘要 从2008年起,大数据已经被推到了创新、提高竞争力和提高劳动生产率的前沿。过去大部分人对大数据的理解还停留在大量数据和数据的多样性本身,而忽略了它最重要的角色,即帮助机器智能的腾飞。基于此,对大数据和机器智能的发展可能给未来社会带来的全面、颠覆性的变革进行了系统分析。首先介绍了机器智能的发展历程,分析了大数据对解决机器智能问题的重要作用;然后结合实际案例,阐述了大数据的内涵以及大数据和大量数据的异同,重点分析了大数据和机器智能的关键技术;最后探讨了发展机器智能对未来社会的冲击。 Big data has become the next frontier for innovation, competition, and productivity since 2008. However, most people still limited their vision on the quantity and the variety of big data, while ignored the crucial role it played in machine intelligence that was taking off recently. Therefore, comprehensive analysis on global and disruptive impacts to the future world due to big data and machine intelligence development was made. It was started from the introduction on development history of machine intelligence. The important role of big data to solve the problem of machine intelligence was analyzed. Combined with the actual case, the meaming of big data and the similarity and differences of big data and large data were investigated. The key techniques of big data and machine intelligence were described. Finally the challenges for futrure world due to machine intelligence development were discussed.
作者 吴军
机构地区 丰元创投
出处 《电信科学》 北大核心 2015年第2期1-10,共10页 Telecommunications Science
关键词 机器智能 大数据 数据驱动 machine interlligence, big data, data driven
  • 相关文献

参考文献10

  • 1Turing A M. Computing machinery and intelligence. Mind, 1959:433-460.
  • 2Minsky M. Semantic Information Process. Cambridge MA: M|T Press, 1968.
  • 3Jelinek F. Continuous speech recognition by statistical methods. Proceedings of the IEEE, 1976, 64(4): 532-556.
  • 4Brown P F, Coeke J, Della Pietra S A, et a/. A statistical approach to machine translation. Computational Linguistics, 1990, 16(2): 79-85.
  • 5NIST. NIST 2005 Machine Translation Evaluation Official Results. http://www.itl.nist.gov/iad/mig/t ests/mt/2005/doc/mt05 eval_ official results release_20050801 v3.html, 2005.
  • 6Watercutter A. Fact: Nate Silver Predicts Election Outcome, Becomes Nerdy Chuck Norris. http://www.wired.com/2012/ll/ nate-silver-facts-election/, 2012.
  • 7Murnane F L. The New Division of Labor. Princeton: Princeton Press, 2004.
  • 8Markoff J. Google cars drive themselves, in traffic. The New York Times, 2010.
  • 9Le Q, Ranzato M R, Monga R, et al. Building high-level features using large scale unsupervised learning. Proceedings of the 29th International Conference in Machine Learning, Edinburgh, Scotland, UK, 2012.
  • 10Brynjolfsson E, McAfee A. Race Against the Machine. Lexington: Digital Frontier Press, 2011.

同被引文献133

引证文献21

二级引证文献281

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部