『オープンサイエンス』とAI~オープン化は人工知能研究をどう変えるか?~

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1 AI 研究をどう変えるか?~ KITAMOTO Asanobu KitamotoAsanob u 2018/06/07 1

2 2018/06/07 2

3 デジタル台風とは? P 2018/06/07 3

4 Collaboration with Lucas RODES GUIRAO. 2018/06/07 4

5 Conv Layer (3x3 kernels) Model architecture (2,891,707 parameters) ReLU Batch Norm Max-pooling 2x2 Accuracy: 94.9% Collaboration with Lucas RODES GUIRAO. Conv Layer (3x3 kernels) 2018/06/07 5 ReLU Batch Norm Max-pooling 2x2 Conv Layer (3x3 kernels) ReLU Batch Norm Max-pooling 2x2 Dense Layer ReLU Batch Norm Dropout 0.2 Dense Layer ReLU Batch Norm Output

6 CODH 1 に正式に発足 センター長 : 北本 /06/07 6

7 2018/06/07 7

8 2018/06/07 8

9 1. AI でどんなビジネスが生まれるか? 2. AI により人間は職を失うのか? 3. AI 時代はベーシックインカムなのか? 4. AI ギュラリティ仮説 )? 2018/06/07 9

10 1. 2. AI 3. AI 4. AI /06/07 10

11 /06/07 11

12 オープンサイエンスとは? 大同団結? 同床異夢? 2018/06/07 12

13 2018/06/07 13

14 /06/07 14

15 2. AI 2018/06/07 15

16 Artificial Intelligence 出典 : 平成 28 総務省通信白書 : /06/07 16

17 /06/07 17

18 Michael A. Nielsen, "Neural Networks and Deep Learning", Determination Press, 2015, CC BY-NC /06/07 18

19 25% 15% ImageNet, /06/07 19

20 AlphaGo 開発 :DeepMind Google 2018/06/07 20

21 TensorFlow Google GitHub 2018/06/07 21

22 , ZO V00C18A6FF8000/ GitHub 8200 GitHub 材発掘にも有効? 2018/06/07 22

23 オープンソースとは何か? ow/blob/master/tensorflow/cc/gradien ts/math_grad.cc る?GitHub 2018/06/07 23

24 : : 2018/06/07 24

25 SNS 701/30/news065.html Net 2018/06/07 25

26 Image を世界に公表せ 2018/06/07 26

27 2018/06/07 27

28 3. AI 2018/06/07 28

29 1. : 査読 2. : 情報 3. : 正式に出版する 4. : ネットの誕生により 公表 2018/06/07 29

30 るべきではないか? /06/07 30

31 Nature, Volume 557 Issue 7707, 31 May /06/07 31

32 時代に逆行? Nature AI 通用しないのか? 2018/06/07 32

33 /06/07 33

34 arxiv Left: number of new submissions/year as a function of calendar year. Right: ubmission rates divided by the total for each year, giving the fractional submission rates for each of the domains /06/07 34

35 AI arxiv AI DeepMind a arxiv 2018/06/07 35

36 引用されている! /06/07 36

37 Ingelfinger Rule 2018/06/07 37

38 30 e/column/ /156207/ /06/07 38

39 /156207/?P=2 3 5 AI 2018/06/07 39

40 4. AI 2018/06/07 40

41 AI 2018/06/07 41

42 AI / les/1603/25/news069.html 2018/06/07 42

43 The Need for Explainable AI : /06/07 43

44 The Need for Explainable AI : /06/07 44

45 /06/07 45

46 Lawrence Lessig (Founder of Creative Commons), Code: And Other Laws of Cyber Space (first edition 1999) 2018/06/07 46

47 /06/07 47

48 : 若い : 異な /06/07 48

49 Scientific Data (Nature publishing group) の? 報酬は労力に見合うの? 2018/06/07 49

50 : プ : オ サービスにお任せ? 2018/06/07 50

51 1. : スーパーコンピュータ AI 2. : 3. : 4. : 5. : プライバシー 著 2018/06/07 51

52 1. AI : 大学 研究機関よりも民間企業の方が研究環境が充実? 人材の移動も話題 2. : 3. : 図書館などにおける情報整理の専門スキルを活かせないか? 4. : 2018/06/07 52

53 vs /06/07 53

54 界で戦えるインフラと人材を日本にも! 2018/06/07 54

55 Researchmap /06/07 55

ディープラーニングとオープンサイエンス ~研究の爆速化が引き起こす摩擦なき情報流通へのシフト~

ディープラーニングとオープンサイエンス ~研究の爆速化が引き起こす摩擦なき情報流通へのシフト~ KITAMOTO Asanobu http://researchmap.jp/kitamoto/ KitamotoAsanob u 1 2 3 4 5 1. 2. 3. 6 Lawrence Lessig (Founder of Creative Commons), Code: And Other Laws of Cyber Space (first edition 1999) 7 NSF Data

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