Overview Yano Kazuo AI AIArtificial Intelligence AI AI 13 20 IoTInternet of ThingsAI AI500 AI 1,000 AI AI AI AI AlphaGo Nature 12 2016.04
1 AI a AI AI a Deep Learning Overview AI AI AI 20 20 50 21 2 21 20 20 Vol.98 No.04 220 221AI 13
Human 1.0 Specialized Worker 1769 1723-1790 20 20 170 Human 2.0 Standardized Worker W 1856-1915 1940 70 Human 3.0 Amplified Worker This Work 2010 This Work 1 50 7 2.0 Standardized Worker 1.0 Specialized Worker1 2.0 14 2016.04
AI AI AI AI AI 3.0 Amplified Worker1 2.0 ERPEnterprise Resource Planning 3.0 AI AI AI 2 Overview Vol.98 No.04 222 223AI 15
2000 b 9 2 1 1 20 AI The Book of Changes64 b 64 6 2 01 "001 110" "110 000" "001 101" 64644,096 16 2016.04
AI AI AI AI AI AI AI 5 5 1 F0 F1 F2 F3 F4 F1F2F3F4 5 15 F0 KPI F1 F2 F3 F4 F14 KPIKey Performance Indicator Overview Vol.98 No.04 224 225AI 17
c 1 d 1 e f F1 KPIKey Performance Indicator AGIArtificial General Intelligence AGI AGI 47 AIAGI AI 5 4 2 0 AI 0 1 c 1 d SVMSupport Vector Machine e Deep Learning 8 f R 1 AI 9 10 1 AI 1 2 140 4 3 2 AI 1 AI 0 AI 3/4 2 2 2 1 18 2016.04
2 2 AI AIIT 2 2AI IT Hitachi AI Technology/H 1 2AI2 AI AIAI AI Overview 2015 Hitachi AI Technology/H H 2AI 2AI H 100 AI WMSWarehouse Management System AI AI AI AI 8 15 27 7 24 3 H AI WMS H 15% 8% 3.6% 27% H 3AIH 724 Vol.98 No.04 226 227AI 19
AI 2 1,000 1,000 3 3 2 2 3 4 AI AIAIAI 4 AI 2 AI1 AI2 AI LEGO 1 AIH AI AI 5 AI AI24 365 5 AIH AI1 AI AIH 1 LEGOLEGO Group 20 2016.04
AI80 2 15 AI e AIAI AI 4 AI AI AI AI AI Overview General Purpose Technology 11 1950 12 AI 1 2 3 1960 1970 1980 1990 2000 2010 AI ICOT 87 1 2 Web MC ICOTInstitute for New Generation Computer TechnologyMCMonte Carlo 4AIAI AIAI Vol.98 No.04 228 229AI 21
g AI 21 1 g AIMCMCMarkov- Chain Monte Carlo 34 2 1315 140 40 12 22 2016.04
16 2 AIH 34 34 40 17 AI AI AI 18 20 2006 1920 24 5 Overview Vol.98 No.04 230 231AI 23
2 Hz 3 0.8 Hz 1 3 5xyz3 2 Hz 0.8 Hz 1 2006 31610 10 16 7 6 100 2122 2015 2 2009 2010 2011 2012 2013 2014 2015 1 2 3 4 5 6 7 8 9 10 11 12 0 24 0 24 0 24 0 24 0 24 0 24 0 24 67 50 2015 24 2016.04
20 20 15 10 5 R0.94 0 0 5 10 15 20 7 0.94 104685,000501% 10 46820 10 Overview 0 3 4 7 0.94 10 1 20 10 3 Vol.98 No.04 232 233AI 25
26 2016.04 34 8 15 4 2 2015.9.18 4 4 34 1 34 34 15 0.8 12 12 PJ1 PJ2 PJ3 PJ4 13 14 17 8 4 0 2200 2000 1800 1600 1400 1200 1000 0.5 0 5 2 8 42 5%
23 0.94 AIH 24 9 25 1 27 2015 2627 15 9 AI 37300 18 28 AI 29 3 3 Overview Vol.98 No.04 234 235AI 27
28 2016.04 5 2 15 AI 5 2 10 1 1 IT AI Google 2 AI AI 2GoogleGoogle Inc. QA IT AI 10 AI
AI AI 30 AI AI SESystem Engineer AI AI Overview AI AI AI 3 SISystem Integration AIIT IT AIIT IT AI Vol.98 No.04 236 237AI 29
ITAI IT hdevops DevelopmentOperations AI IT AI WMS AI WMS WMS AI WMS AI AI IT IT AIIT AI AI AI OSOperating System 100 AI DevOps h 31 3 30 2016.04
AI 20164 32 11 12 34 4 12 BUBusiness Unit AI BU BU BU AI CEO B U B U B U B U B U BU 77 33 B U B U B U B U BU 12BU E M E A CEOChief Executive OfficerBUBusiness UnitEMEAEurope, the Middle East and Africa CISCommonwealth of Independent States 11AI AI20164 B U B U B U C I S Overview AI AI AI AI 1926 34 Vol.98 No.04 238 239AI 31
1 D. Silver, et al.: Mastering the game of Go with deep neural networks and tree search, Nature, Vol 529, pp.484-4892016.1 21999 31964 4R. Kurzweil: The Singularity is Near, Loretta Barrett Books Inc2005 5N. Bostrom: Superintelligence: Paths, Dangers, Strategies, Oxford University Press 2014 6M. Shanahan: The Technological Singularity, The MIT Press2015 7J. Barrat: Our Final Invention: Artificial Intelligence and the End of the Human Era, Griffin2015 8 G. E. Hinton and R. R. Salakhutdinov: Reducing the Dimensionality of Data with Neural Networks, Science, 313, pp.504-507 2006.6 9S. Baker: Final Jeopardy: The Story of Watson, the Computer That Will Transform Our World, Mariner Books2012.3 10 Q. V. Le, et al.: Building High-level Features Using Large Scale Unsupervised Learning, Proc. of the 29th International Conference on Machine Learning2012 11 E. Brynjolfsson, A. McAfee: The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies, W. W. Norton & Company, Inc.2014 1219502012.11 13E. T. Jaynes: Probability Theory: The Logic of Science, Cambridge University Press2003 14H. C. von Baeye: Information: The New Language of Science, Weidenfield & Nicolson Ltd.2003 15S. Lloyd: Programming the Universe: A Quantum Computer Scientist Tales on the Cosmos, Vintage2007 16 2014.7, K. Yano: The New Invisible Hand: Hidden Laws of Life, Business, and Economy Revealed by Wearable Sensors, prepared for publication. 17G. Chaitin: Proving Darwin: Making Biology Mathematical, Pantheon2012.5 18C. Hilty: Happiness: Essays on the meaning of life, translated by Francis Greenwood Peabody, Nabu Press1891 19 T. Tanaka, et al.: Life microscope: Continuous daily activity recording system with a tiny wireless sensor, Proc. 5th Int. Conf. Networked Sensing Systems INSS 2008, pp. 162-1652008 20 Y. Wakisaka, et al.: Beam-scan sensor node: Reliable sensing of human interactions in organization, Proc. 6th Int. Conf. Networked Sensing SystemsINSS 2009, pp. 58-612009 21 pp.5061 2015.2 22 K. Yano, et al.: Profiting from IoT: The key is very-large-scale happiness integration, 2015 Symposium on VLSI Technology, pp. C24-C272015.6 23 J. Watanabe, et al.: Resting time activeness determines team performance in call centers, ASE/IEEE International Conference on Social Informatics SocialInformatics2012, pp. 26-31, doi:10.1109/ 249711670673 2015.11 25 J. Watanabe, et al.: Workscape Explorer: Using group dynamics to improve performance, CHI '14, Ext. Abstracts, pp. 2209-2214 2014 26 UFJ 2015.9 27 JALIoT 2015.10 28Special Issue, The Value of Happiness: How Employee Well-Being Drives Profits, Harvard Business Review, Jan.-Feb.2012 29K. Yano, et al.:sensing happiness: Can technology make you happy IEEE Spectrum, pp. 26-312012.12 30254220062006 31M. E. Porter, et al.: How Smart, Connected Products Are Transforming Companies, Harvard Business Review 2015.8 32 2016.2 33 2001.7 34101995 AI IEEE 32 2016.04