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[台灣人工智慧學校] 台中分校第二期開學典禮 - 執行長報告

日期: 2019/01/05 (六)
地點: 臺中市政府集會堂

主辦單位: 財團法人科技生態發展公益基金會
執行單位: 財團法人人工智慧科技基金會
協辦單位: 中央研究院資訊科學研究所、中央研究院資訊科技創新研究中心
贊助企業: 台塑企業、奇美實業、英業達集團、義隆電子、聯發科技、友達光電
台中分校協辦單位: 中亞聯大、東海大學、逢甲大學、臺中市政府經濟發展局

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[台灣人工智慧學校] 台中分校第二期開學典禮 - 執行長報告

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  2. 2. 7(Slide Credit: McKinsey&Company)
  3. 3. 8 https://youtu.be/_5cU_JcJRPg
  4. 4. -/ 9
  5. 5. Healthy Diseased Hemorrhages No DR Mild DR Moderate DR Severe DR Proliferative DR 1 2 3 4 5
  6. 6. arxiv.org/abs/1703.02442 Tumor localization score (FROC): model: 0.89 pathologist: 0.73 (Slide Credit: Google Brain)
  7. 7. 12 Mobile computing, inexpensive sensors collecting terabytes of data, and the rise of machine learning that can use that data will fundamentally change the way the global economy is organized. - Fortune, “CEOs:The Revolution is Coming,” March 2016
  8. 8. 2017.03
  9. 9. • a a M • a A • R TB • • iW • iW - • iW - • iW • ( ) X • n iW H.T. Kung • A • a S e M
  10. 10. Where is the Role of Taiwan? 15(Slide Credit: Google) Social Big Data
  11. 11. March – November in 2017 17
  12. 12. 18
  13. 13. 20
  14. 14. 4 0 1 2 3
  15. 15. Global Talent 2021 Report 22 (Source: https://www.oxfordeconomics.com/my-oxford/projects/128942)
  16. 16. Project θ Weekly Meetings at NCTU and Also Online with Academia Sinica June 6, 2017
  17. 17. 24
  18. 18. #1 25
  19. 19. 26 Typical PCB defects
  20. 20. Typical defects after SMT (Surface-Mount Technology) process … 27 https://www.researchmfg.com/2011/02/soldering-defect-symptom/
  21. 21. More SMT/DIP Defect Examples 28
  22. 22. Convolution Neural Networks + Transfer Learning Pre-trained using 14-million image dataset ResNet with > 8-million parameters Input images Model training / inference OK OK
  23. 23. – 30 : 23 4 ; 5% AOI : , 60 / ( 2 / = 1104 / ) : 30 / = 120 / : + NVIDIA GPU: 10 ~ 15 : + : 0.01% 5% : 166.67 / sec è 1440
  24. 24. – 31 12.9% 8~10 3,000,000 + NVIDIA GPU: 10 ~ 15 + 1% 10% 8,640,000 / = 100 /
  25. 25. #2 32
  26. 26. : 61% QualityIndex
  27. 27. 34 : 61% : 98% QualityIndex
  28. 28. Especially important for equipment with high failure cost (such as motors in machine tools) Also important for expensive consumables (such as blades used in precision cutting machines) 35 #3
  29. 29. 36
  30. 30. 37 #4
  31. 31. 38
  32. 32. 39 Pigment 1 Pigment 2 Pigment 3: 70% to 95%
  33. 33. PROJECT Θ TEAM HAS SOLVED 10+ PROBLEMS FROM 10+ COMPANIES WITHIN 6 MONTHS… 40
  34. 34. LOOKS IT WORKS OUT, BUT … 41
  35. 35. 2017/06/26 Project θ Meeting 42
  36. 36. 1,000x
  37. 37. 4 0 1 2 3
  38. 38. 45
  39. 39. 46http://bangqu.com/g394k4.html
  40. 40. 47
  41. 41. 49 http://aiacademy.tw/opening-video-180127/
  42. 42. http://aiacademy.tw/ 01 02 03 +
  43. 43. 750
  44. 44. Lab x 9
  45. 45. GPU x 500+
  46. 46. / http://aiacademy.tw/corporate-partner/
  47. 47. N EN EN E N PT X PT IX PT
  48. 48. 57 http://aiacademy.tw/offsite-problem-solving/
  49. 49. • • • • • • • • • • • • • • •
  50. 50. 0 8 6 1
  51. 51. 8 A I & & 8 & 8 2 &
  52. 52. 64
  53. 53. 65
  54. 54. The First Few Weeks… 66
  55. 55. 67
  56. 56. 68
  57. 57. 70
  58. 58. PCB 3D 71
  59. 59. … 72
  60. 60. 73
  61. 61. 74
  62. 62. 75
  63. 63. 76
  64. 64. AI “ ” 77
  65. 65. 78
  66. 66. 79
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  68. 68. 81 & 239 15-17F
  69. 69. 82
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  72. 72. 85 ( )
  73. 73. 86 ( )
  74. 74. 2,500
  75. 75. 88
  76. 76. 89
  77. 77. 90300 2018 NCTS 2018
  78. 78. 91 - AI Aidea AOIOpen Data x2 x 2 x1
  79. 79. 92 2018/11/17
  80. 80. http://jobs.aiacademy.tw/
  81. 81. 95 / http://jobs.aiacademy.tw/
  82. 82. /4 62: 96 5 1 3 5 1 5 1 5 1 400 x 8 3 5 x 4 6 = 8 4800 AI / / 9
  83. 83. 97
  84. 84. AI + AI

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