Exclusive: Science and Technology Review in 2018

Review of hot topics on artificial intelligence in 2018

  • LIU Wei ,
  • NI Sang
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  • 1. School of Automation, Beijing University of Posts and Telecommunications, Beijing 100876, China;
    2. Key Laboratory of Network Systems and Network Culture of Beijing City, Beijing 100876, China;
    3. School of Digital Media & Design Arts, Beijing University of Posts and Telecommunications, Beijing 100876, China

Received date: 2019-01-02

  Revised date: 2019-01-06

  Online published: 2019-01-29

Abstract

Artificial intelligence is being widely used in many fields. In 2018, nearly all sub-disciplines of artificial intelligence gained a series of progress. This paper selects the sub-disciplines such as human-machine fusion intelligence, swarm intelligence, cognitive computing, affective computing, intelligent robot, smart city, and medical treatment with artificial intelligence, so as to review the hot topics of artificial intelligence in 2018.

Cite this article

LIU Wei , NI Sang . Review of hot topics on artificial intelligence in 2018[J]. Science & Technology Review, 2019 , 37(1) : 157 -162 . DOI: 10.3981/j.issn.1000-7857.2019.01.017

References

[1] Hinton G E, Osindero S, Teh Y W. A fast learning algorithm for deep belief nets[J]. Neural Computation, 2006, 18(7):1527-1554.
[2] Krizhevsky A, Sutskever I, Hinton G E. Imagenet classification with deep convolutional neural networks[C]//Advances in Neural Information Processing Systems. New York:ACM, 2012:1097-1105.
[3] 吴飞, 阳春华, 兰旭光, 等. 人工智能的回顾与展望[J]. 中国科学基金, 2018(3):243-250.
[4] Patrick Tucker. Defense intel chief worried about Chinese "Integration of Human and Machines"[EB/OL]. (2018-10-10)[2018-12-26]. https://www.defenseone.com/technology/2018/10/defense-intel-chief-worried-about-chinese-integration-human-and-machines/151904.
[5] Robert ashley[EB/OL]. (2018-10-10)[2018-12-26]. https://www.ausa.org/ausa2018.
[6] 刘伟. 人机智能融合:人工智能发展的未来方向[J]. 人民论坛·学术前沿, 2017(20):32-38.
[7] Beni G, Wang J. Swarm intelligence in cellular robotic systems[C]//Robots and biological systems:Towards a new bionics. Berlin, Heidelberg:Springer, 1993:703-712.
[8] Kennedy J. Swarm intelligence[C]//Handbook of Nature-inspired and Innovative Computing. Boston:Springer, 2006:187-219.
[9] Publications of unanimous.ai[EB/OL].[2018-12-26]. https://unanimous.ai/publications.
[10] Louis Rosenberg, Gregg Willcox. Artificial swarm intelligence vs vegas betting markets[EB/OL].[2018-12-26]. https://11s1ty2quyfy2qbmao3bwxzc-wpengine.netdna-ssl.com/wpcontent/uploads/2018/08/Artificial-Swarm-Intelligence-vs-Vegas-Betting-Markets-DeSE2018-f3.pdf.
[11] Rosenberg L, Willcox G, Halabi S. Artificial swarm intelligence employed to amplify diagnostic accuracy in radiology[J]. EMCON, 2018:6.
[12] Thorsten Schroeer. Cognitive computing:Hello Watson on the shop floor[EB/OL]. (2017-05-09)[2018-12-26]. https://www.ibm.com/blogs/internet-of-things/iot-cognitive-computing-watson.
[13] Kelly J E. Computing, cognition and the future of knowing[R]. Whitepaper IBM Reseach, 2015:2.
[14] Memeti S, Pllana S. PAPA:A parallel programming assistant powered by IBM watson cognitive computing technology[J]. Journal of Computational Science, 2018:S1877750317311493.
[15] Endsley M R. Toward a theory of situation awareness in dynamic systems[J]. Human Factors, 1995, 37(1):32-64.
[16] Minsky M. The emotion machine[M]. New York:Pantheon, 2006:56.
[17] Hernandez J, McDuff D, Quigley K S, et al. Wearable motionbased heart-rate at rest:A workplace evaluation[J/OL]. Journal of Biomedical and Health Informatics, 2018-12-31. https://www.media.mit.edu/publications/wearable-motion-based-heart-rate-at-rest-a-workplace-evaluation.
[18] Sano A, Taylor S, Jaques N, et al. Mood, stress and sleep sensing with wearable sensors and mobile phone[C]//The 40th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Piscataway:IEEE, 2018.
[19] Dementyev A, Hernandez J, Choi I, et al. Epidermal robots:Wearable sensors that climb on the skin[J]. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2018, 2(3):102.
[20] Rudovic O, Utsumi Y, Lee J, et al. CultureNet:A deep learning approach for engagement intensity estimation from face Images of children with autism[C/OL]. IEEE/RSJ International Conference on Intelligent Robots and Systems.[2018-12-31]. https://www.media.mit.edu/publications/culturenet-a-deeplearning-approach-for-engagement-intensity-estimationfrom-face-images-of-children-with-autism.
[21] Zhang S, Zhang S, Huang T, et al. Speech emotion recognition using deep convolutional neural network and discriminant temporal pyramid matching[J]. IEEE Transactions on Multimedia, 2018, 20(6):1576-1590.
[22] Kleiman E M, Turner B J, Fedor S, et al. Digital phenotyping of suicidal thoughts[J]. Depression and Anxiety, 2018, 35(7):601-608.
[23] Rudovic O, Lee J, Dai M, et al. Personalized machine learning for robot perception of affect and engagement in autism therapy[J]. Science Robotics, 2018, doi:10.1126/scirobotics. aao 6760.
[24] Sam Blum. Boston dynamics' atlas can now chase you up the stairs[EB/OL]. (2018-10-12)[2018-12-26]. https://www.popularmechanics.com/technology/robots/a23725726/boston-dynamics-atlas-parkour.
[25] Atlas:The world's most dynamic humanoid[EB/OL].[2018-12-26]. https://www.bostondynamics.com/atlas.
[26] Anybotics[EB/OL].[2018/12/26]. https://www.anybotics.com/anymal.
[27] Fankhauser P. World's first autonomous offshore robot[EB/OL]. (2018-10-25)[2018-12-26]. https://www.anybotics.com/2018/10/25/worlds-first-autonomous-offshore-robot.
[28] 鲁畅, 高博. 雄安新区与百度将共同打造智能出行试点示范[EB/OL]. (2017-12-20)[2018-12-26]. http://www.xinhuanet.com/fortune/2017-12/20/c_1122143193.htm.
[29] Marrone M, Hammerle M. Smart cities:A review and analysis of Stakeholders' literature[J]. Business & Information Systems Engineering, 2018, 60(3):197-213
[30] Madeleine Wattenbarger. The Mexican town that refused to become a smart city[EB/OL]. (2018-10-16)[2018-12-26]. https://www.theguardian.com/cities/2018/oct/16/the-mexicantown-that-refused-to-become-a-smart-city.
[31] Wong N C, Lam C, Patterson L, et al. Use of machine learning to predict early biochemical recurrence after robot-assisted prostatectomy[J]. BJU International, 2018, 123(1). doi:10.1111/bju.14477.
[32] Haenssle H A, Fink C, Schneiderbauer R, et al. Man against machine:Diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists[J]. Annals of Oncology, 2018, 29(1). doi:10.1093/annonc/mdy166.
[33] 周琳, 胡喆, 林小春."中国智世界能"[N]. 浙江日报, (2018-09-20)[2018-12-26]. http://society.people.com.cn/n1/2018/0920/c1008-30305072.html.
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