Big Data, Machine Intelligence and Their Impacts to the Future World

Jun Wu

doi:10.11959/j.issn.1000-0801.2015054

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Big Data, Machine Intelligence and Their Impacts to the Future World

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- Big Data, Machine Intelligence and Their Impacts to the Future World
- Telecommunication Science Vol. 31, Issue 2, Pages: 1-10(2015)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2015054
  CLC：
- Published Online：2015-02，
  
  Published：15 February 2015
- 稿件说明：
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Jun Wu. Big Data, Machine Intelligence and Their Impacts to the Future World[J]. Telecommunication science, 2015, 31(2): 1-10.
DOI：

Jun Wu. Big Data, Machine Intelligence and Their Impacts to the Future World[J]. Telecommunication science, 2015, 31(2): 1-10. DOI： 10.11959/j.issn.1000-0801.2015054.

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。

Abstract

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.

关键词

Keywords

references

Turing A M . Computing machinery and intelligence . Mind , 1959 : 433 ～ 460

Minsky M . Semantic Information Process . Cambridge MA : MIT Press , 1968

Jelinek F . Continuous speech recognition by statistical methods . Proceedings of the IEEE , 1976 , 64 ( 4 ): 532 ～ 556

Brown P F , Cocke J , Della Pietra S A , et al . A statistical approach to machine translation . Computational Linguistics , 1990 , 16 ( 2 ): 79 ～ 85

NIST . NIST 2005 Machine Translation Evaluation Official Results . http://www.itl.nist.gov/iad/mig/tests/mt/2005/doc/mt05eval_official_results_release_20050801_v3.html http://www.itl.nist.gov/iad/mig/tests/mt/2005/doc/mt05eval_official_results_release_20050801_v3.html , 2005

Watercutter A . Fact:Nate Silver Predicts Election Outcome, Becomes Nerdy Chuck Norris . http://www.wired.com/2012/11/nate-silver-facts-election/ http://www.wired.com/2012/11/nate-silver-facts-election/ , 2012

Murnane F L . The New Division of Labor . Princeton : Princeton Press , 2004

Markoff J . Google cars drive themselves,in traffic . The New York Times , 2010

吴军．数学之美．北京：人民邮电出版社 2014

Wu J . 数学之美 . Beijing : Posts ＆ Telecom Press , 2014

Le 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

Brynjolfsson E , McAfee A . Race Against the Machine . Lexington : Digital Frontier Press , 2011

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