1) The document discusses how artificial intelligence (AI) and the Internet of Things (IoT) will transform the world. It describes how connected devices and data are growing exponentially and how AI can analyze that data. 2) The largest barrier to smart home adoption is technological fragmentation, but AI may help overcome this by enabling connected intelligence across different systems. 3) As AI and IoT advance, they will continue enhancing many areas of life from art to transportation. However, this also raises issues around jobs, inequality, bias, security, and human autonomy that will need addressing.

1. AI & IoT
- 사물인터넷과 인공지능은 세상을 어떻게 바꿀까?
Jonghong Jeon
ETRI, PEC
Email: hollobit@etri.re.kr
http://www.etri.re.kr

2. 2

3. 3

4. WHAT IS …
4

6. The era of

7. Change ­ Internet Remix

8. Changes ­ Mobile Internet
아날로그폰
아날로그
음성통화
디지털폰
디지털
음성통화
피처폰/스마트폰
IP 기반
데이터서비스 시작
고성능 스마트폰
All IP 기반
데이터서비스 확산
가상 스마트 기기
All IP 기반
초고속 데이터
서비스
아날로그망 GSM/CDMA망 WCDMA망 OFMDA망 ??
음성 통신 서비스의 시대 데이터 통신 서비스의 시대

9. Changes - Connected Things
• More things are connecting to the Internet than people — Cisco’s
Internet Business Solutions Group (IBSG) predicts some 25 billion
devices will be connected by 2015, and 50 billion by 2020

10. Age of IoT
10

11. Forecast ­ Economic impacts
11

12. IOT + AI
12

13. Smart Home IoT
13

14. IoT Automation
14

15. IoT Automation
• Group
– Groups are simply identified (named) collections of devices
• Examples are: Living Room devices, First Floor, Security, Mom’s
devices
• Scenes
– A scene a state of a group, in other words, the value of the
properties of the devices that are members of the group
• States can be read or written (like a data structure) from a group
and read from or written to storage
• Scripts
– Scripts are sequenced sets of commands
• Rules
– A rule is a conditional statement that launches a script
when the condition evaluates to true
• Mode
– A mode is a collection of rules that can be activated
together (e.g. bedtime or vacation mode)
15

16. IoT Automation
• Group
– 거실 기기
• Scene
– 외출 상태
• Script
– 기기 전원 소등
• Rule
– 외출시 전원 소등
• Mode
– 외출시 전체 off,
현관문 열리면
전체 on
16

17. The largest barrier
• The largest barrier is the technological
fragmentation of the smart home ecosystem, in
which consumers need multiple networking devices,
apps and more to build and run their smart home.
17

18. Changes - Connected Intelligence
18

19. Connected Intelligence
19

20. AI first
20

21. AI in our life
• Smartphone Voice Agent
– Siri( Speech Interpretation and Recognition
Interface), 빅스비, Google
• AI speaker
– Amazon echo, Google home, Apple
homepot, Nugu, Wave, 기가 지니,
• Self Driving cars
• IBMs Watson
• Autonomous Weapons
• Deep Blue
• AlphaGo
21

22. [1] Voice Assistant
22
Source: https://www.youtube.com/watch?v=BkpAro4zIwU

23. [2] AI speaker
• Voice as UI in Smart Home
23

24. [2] AI speaker
24

25. [2] AI speaker
25

26. [2] AI speaker
26

27. [2] AI speaker
27
주: Amazon Echo 사용자 1,300명 대상으로 설문 실시
자료: Experian(2016)

28. FROM IOT TO AIOT
28

29. ICBM + more intelligent
29

30. Emerging DL
30

31. Emerging DL
31

32. Emerging DL
32

33. Emerging DL ­ open data
33

34. Emerging DL ­ open data
34
Source: https://www.ted.com/talks/fei_fei_li_how_we_re_teaching_computers_to_understand_pictures

35. Emerging DL ­ open data
35

36. Emerging DL ­ open tools
36

37. Emerging DL ­ HW perf.
37

38. Emerging DL ­ Experiences
38

39. AlphaGo
39

40. AlphaGo Zero
40
Source: https://www.youtube.com/watch?v=4Sm922Xp5N4

41. 41https://applied-data.science/blog/alphago-zero-cheat-sheet/

42. [사례1] Art
42
Source:

43. [사례2] Synthesizing
43
Source: https://youtu.be/MVBe6_o4cMI
Paper: https://grail.cs.washington.edu/projects/AudioToObama/siggraph17_obama.pdf

44. [사례3] Synthesized TTS
44
https://www.slideshare.net/carpedm20/deview-2017-80824162
https://carpedm20.github.io/tacotron/
http://research.baidu.com/deep-voice-3-2000-speaker-neural-text-speech/

45. [사례4] Estimation
45
Source: https://youtu.be/pW6nZXeWlGM
Paper: https://arxiv.org/abs/1611.08050

46. [사례5] Colorize
46
Source: https://youtu.be/ys5nMO4Q0iY
Paper : http://hi.cs.waseda.ac.jp/~iizuka/projects/colorization/en/

47. [사례6] Enhanced Generation
47Source: http://research.nvidia.com/publication/2017-10_Progressive-Growing-of

48. [사례7] Auto Pilot
48
Source: https://youtu.be/aKed5FHzDTw

49. FUTURE OF
“INTELLIGENT IOT”
49

50. Intelligent IoT
50

51. IIoT == 인류 지성에 대한 도전
• 3.8 billion internet users in 2017 (as of April, 2017)
51https://blog.microfocus.com/how-much-data-is-created-on-the-internet-each-day/

52. Human vs. Machine
52Source: https://www.youtube.com/watch?v=wtdtU4mqqig

53. Human vs. Machine
53

54. Human vs. Machine
54

55. 다가올 인공지능 시대는 ?
55Source: https://www.youtube.com/watch?v=2HADxNIwhzQ

56. Auto ML
• Automate machine learning
56Source: https://www.youtube.com/watch?v=92-DoDjCdsY

57. Super Intelligence
• Singularity
57

58. Super Intelligence
58

59. 59

60. Super Intelligence
• 해외에서의 도래 시점 예측 : 2040 <
60

61. Super Intelligence
• 한국에서의 도래 시점 예측 : > 2035
61

62. Super Intelligence
62
Source: http://bit.ly/2iNZbgY

63. Asilomar AI Principles
• 2017.1.3 ~ 1.8, Beneficial Artificial Intelligence organised by
the Future of Life Institute
63

64. 64

65. Actions for Ethical AI
65

66. 인공지능의 윤리적 이슈
66

67. Top 9 ethical issues in AI
• Unemployment
– What happens after the end of jobs?
• Inequality.
– How do we distribute the wealth created by machines?
• Humanity.
– How do machines affect our behaviour and interaction?
• Artificial stupidity.
– How can we guard against mistakes?
• Racist robots.
– How do we eliminate AI bias?
• Security.
– How do we keep AI safe from adversaries?
• Evil genies.
– How do we protect against unintended consequences?
• Singularity.
– How do we stay in control of a complex intelligent system?
• Robot rights.
– How do we define the humane treatment of AI?
67https://www.weforum.org/agenda/2016/10/top-10-ethical-issues-in-artificial-intelligence/

68. 로봇법과 세금
• 로봇과 인공지능이 생산한 창작물은 누구 소유 ?
– 음악, 특허, 기사 등등등의 소유권 문제
• 로봇과 인공지능의 사회적 지위는 ?
– 2017년 1월 12일, EU 법제사법위원회는 로봇에게 ‘전자
인간(electronic persons)’이라는 법적 지위를 부여하는
‘로봇시민법’(European Civil Law Rules on Robotics)을 제정
• 권리와 의무는 ?
– 로봇은 ‘전자 인간’으로서의 권리와 의무를 동시에 부여받는다는
것을 의미. 즉, 로봇이 자율권을 갖고있는 경우 의사 결정에 대한
책임을 로봇 자신이 져야한다는 것
• 로봇세 도입이 필요할까 ?
– 인간 대신 로봇이 만들고 생산한 재화의 사회적 환원을 위해
– 로봇으로 대체된 인간의 일자리와 부의 독점을 막기 위해
68

69. 인공지능 시대의 인간은 ?
69

70. 두번의 실패, 세번째 열풍 ?
70
What’s
Next ?
What’s
Next ?

71. 두번의 실패, 세번째 열풍 ?
71

72. 인공지능 신뢰성과 안전성 보장
• One pixel attack for fooling deep neural networks
72
https://arxiv.org/abs/1710.08864

73. 마무리하며
• 인터넷의 성장
• 사물인터넷 시대로
• Cloud + Big Data + AI + IoT
• NUI & 생활 속의 인공지능
• 빠르게 발전하는 인공지능 기술들
• 인공지능의 대중화
• 인공지능과 사람의 관계, 윤리적 이슈
• 우리는 무엇을 준비해야 할 것인가 ?
73

74. 마무리하며
74

75. 마무리하며
75

76. 기타 참조
• 모두를 위한 머신러닝/딥러닝 강의
– https://hunkim.github.io/ml/
• Deep Learning Study
– https://github.com/tmheo/deep_learning_study
• 쫄지말자 딥러닝
– https://www.slideshare.net/modulabs/2-cnn-rnn
• TensorFlow KR
– https://www.facebook.com/groups/TensorFlowKR
• PyTorch KR
– https://www.facebook.com/groups/PyTorchKR/
• AI Korea
– https://www.facebook.com/groups/AIKoreaOpen/
• Raddit ML
– https://www.reddit.com/r/MachineLearning/
• Arxiv CVPR
– https://arxiv.org/list/cs.CV/recent
76

77. JongHong Jeon (hollobit@etri.re.kr)
+82-42-860-5333
https://www.linkedin.com/in/hollobit
http://twitter.com/hollobit