This document discusses emerging technologies and skills for the future, focusing on IT trends related to robotics, the Internet of Things (IoT), and artificial intelligence (AI). It explains that IoT involves sensors, communication, and web technologies, while AIoT combines AI and IoT. It provides an overview of how to apply deep learning using frameworks like TensorFlow and purchasing a GPU-enabled computer. It also discusses edge computing and implementing AI technologies like deep neural networks on embedded systems and devices using tools like OpenCV, TensorFlow, and platforms like Nvidia Jetson and Raspberry Pi. Examples of applications discussed include computer vision, image recognition, and object detection.

1. 未來的科技人才?
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2. 就資通訊產業而言
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機器人
物聯網
影像處理AIAI

3. IoT 技術架構
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4. IT 技術趨勢
IoT=MCU+Sensor+Communication+Web
AIoT=AI+ IoT
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5. 怎麼”套用” DEEP LEARNING
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6. 1.) Familiar with one of DL framework
Deep learning frameworks offer building
blocks for designing, training and
validating deep neural networks
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7. 2.) Buy a GPU enable Computer
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8. AI與物聯網趨勢並起翻轉嵌入式設計思維
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。
(Edge Computing)邊緣運算 (Edge Computing)

9. 邊緣運算: 嵌入式AI技術實現架構
Raspberry Pi
Intel NCS
Nvidia TX2
Development Kit
Computer Vision
using
OpenCV
Deep Learning
DNN
Reinforceme
nt Learning
CNN RNN
GAN
Embedded Linux
or

10. Artificial Intelligence at the edge
on-board AI to process complex data without relying on network
connectivity. AI at the Edge is the future of industry, transforming
processes in manufacturing, industrial inspection, agriculture,
general robotics, security, and AI cities.
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https://developer.nvidia.com/embedded-computing
Jetson TX2
終端裝置AI運算的實現

11. JETSON TX2 開發人員套件
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13. Deep Learning on computer vision
Image Recognition
Object Detection
Segmentation
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14. 更多其他深度學習的應用領域
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15. Load a pre-trained
model
on Raspberry Pi 3
PredictTest data
Maker界的 Edge Computing
Neural Compute Stick

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https://movidius.github.io/ncsdk/ncs.html

17. Deep Learning on Mobile phone
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Convolutional Neural
Networks

18. Demo Project
see our Youtube
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19. http://bit.ly/2L7F1bo

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http://bit.ly/2rKAAen

21. 52
http://bit.ly/2IpJ01j

22. http://bit.ly/2wLKNw8