Intelligent Technology (2023 Fall)

Instructor (Physical):	Professor John Sum, Institute of Technology Management
Office/Email:	Room 821, CSSM Building / pfsum@nchu.edu.tw (for general enquiries)
Time:	Friday 18:20-21:00
Course Venue:	Room 319, CSSM Building
Course Email:	johnsum.nchu@gmail.com (for assignments submission)
Course URL:	https://john.digi-pack.io/IT/IT2023_Fall.html
Consultation:	By appointment

*** REMINDER ***

This course is an elective course particularly designed for the ITM NCHU students who have admitted for the master program specialized in Intellient Technology Management. Students are expected to attend all lectures and complete all courseworks. Attendance will not be accounted for a part of the final score. But, absence without proper reason will be.

Professor John Sum is a strict person and sometimes a monster. His expectation on the behavior and the performance of a student is stringent. It is simply because John Sum has been teaching in the area of intellient technology for more than three decades. Materials in his mind are abundant. Only some of them are extracted and complied as teaching materials.

*** REMINDER END ***

Prerequisites

Students are expected to have the following skills and knowledge.

Students should have elementary level of English and have no problem in reading English materials.
Skillful in the use of word processing software for report writing and presentation.
Skillful in searching information over the Internet.
Knowledge in one of the following subjects: Principles of Computing, Computer Literacy, Introduction to Information Systems, Introduction to Computer Science, Introduction to Information Technologies or other related subjects. (To refresh the concepts in 'Introduction to Computer Science', here is a link to the course 'Introduction to Computer Science' which was delivered by me in the 2022 Fall term for the BBA students in our management school.)
Able to complete a coursework report as compared with a jorunal publication.

Students are expected to have a good health. Then, the students are able to work over serval nights. Each student needs to have a valid email account for assignment submission, written report submission and communications with the instructor.

Course Outline

Here lists the tentative topics to be introudced and discussed in the course. Comprehensive topics in the area of Intelligent Technology can be found in here.

Introduction to Intelligent Technology.
- Updates: 20230915; 20230922; 20230923.
- Piaget Theory of Cognitive Development.
- 3D-Net: Monocular 3D object recognition for traffic monitoring.
- How Does Tesla's Autopilot Work?
- Offline voice assistants: Voice assistants without Internet connection.
- Text-Command interface -> GUI-Command interface -> Voice-Command interface -> Humanized-Voice-Command interface.
Introducing Generative AI.
- Large language models: OpenAI ChatGPT, Google Bard.
- Chinese LLMs: Baidu Ernie, Tencent Hunyuan, BAAI WuDao.
- Offline LLM models: LLM services without Internet connection.
- Goodfellow, I. et al. (2014). Generative adversarial networks. arXiv preprint, arXiv:1406.2661.
- Goodfellow, I. et al. (2020). Generative adversarial networks. Communications of the ACM, 63(11), 139-144.
- Radford, A., Metz, L., & Chintala, S. (2015). Unsupervised representation learning with deep convolutional generative adversarial networks. arXiv preprint, arXiv:1511.06434.
- Wikipedia, Factor analysis: A generative model for statistical analysis in social science research.
- TechEmergent (2023), 60 best generative AI companies and startups in 2023.
- Midjourney: A text-to-image generator.
  - Question: What is(are) the possible application(s) of text-to-image generation?
- Create an Internet celebrity using free AI tools, like ChatGPT, Google Translate, Midjourney and DeepFake.
- YouTuber experience sharing: Towards a profitable YouTuber with the use of AI tools.
Evolution of Technology.
- Industrial revolution.
- Automation and electrification.
- Information technologies.
- Intelligent technologies.
- Benefit and threads.
Technologies for Information/Intelligent Infrastructue.
- Telecommucation technology.
  - Telegraph (resp. telephone) is for data (resp. voice) communication.
  - Wired versus wireless.
  - Today telecom network: Data and voice communication network.
  - List of wireless tech generations.
  - Brief on telecommunication technology (20231127).
- Internet: Data communication network.
- Satellite constellation. Satellite internet constellation.
- Global Internet usage report, Janurary 2023 edition.
- Cloud services: supported by a network of computers and the Internet.
- IEEE The spirit of innovation (on communication).
- Intelligent infrastructure = Information infrastructure + AI services.
- Web 1.0 => Web 2.0 => Web 3.0 (Information infrastructure + AI services + Blockchains).
Intelligent Products and Services.
- Key technologies; Working principles; My daily live and daily work. Go beyond.
- OpenAI AI Pin.
- Amazon Echo.
- Google Home.
- The business of intelligent services.
- Metaverse: Second Life; Decentraland.
  - Market forecast by Statista;
  - Market size and growth (2023) by Influencer Marketing Hub.
- Question: How does a tech firm make profit from an intelligent technology?
Essentials of Intelligent Technology.
- Technologies for language understanding.
- Technologies for image recognition.
- Core AI/ML technologies.
- Federated learning (Collabrative learning).
Intelligent Services Development.
- Intelligent technology development (hard) = AI model development = Foundation model development.
  - Theoretical analysis.
  - Empirical analysis.
  - Software/Hardware implementation.
  - Hardware design, i.e. processor design.
- Intelligent service development for fun.
- Intelligent service development for profit = Application system development.
Intelligent Technology for Manufacturing.
- Manufacturing execution systems (beware of the terminology).
  - History of the MESA models, from Manufacturing Enterprise Solutions Association (MESA) International.
  - Manufacturing execution systems, from SAP.
  - Manufacturing execution systems, from Autodesk.
  - Production and plant optimization, from Siemens.
- Digitial twin.
  - What is digital twin? from Autodesk.
  - Azure Digital Twins demo|Creating replicas of real-world environments.
  - Ericsson's 5G Digital Twin Simulation.
- Don't Expect Too Much.
  - BMW Factory - Integration of A.I. in the Production Line.
  - Artificial Intelligence in the Automotive Industry, from Glorious insight.
  - AI and manufacturing, from IESE Business School.
- AI + Digital Twin.
  - With digital twin, a light-off factory can now be visualized and controlled (remotely) from its digital twin.
  - With AI, the light-off factory could be made to be an autonomous system.
  - Predicting and visualizing the coming behavior of a system.
  - Note: A digital twin can simply be a bunch of data showing the current status of a system.
- AI algorithms for solving optimization problems are not really intelligence.
- Questions.
  - What intelligent technologies have been applied?
  - How does AI help in solving the optimization problems in manufacturing?
  - How does AI help in new product design?
- AI in Manufacturing: China Experiences. (3+ hours)
- Practical AI use cases for manufacturing, by Siemen and Maya HTT (54 minutes).
Advanced Topics on Intelligent Technology.
- Perceptron and Human Cognition: Frank Rosenblatt Perspectives.
- AI safety, Job replacement, Legal issues, AI Bias
  - Oscar Schwartz, Untold history of AI: Algorithmic bias was born in 1980s, IEEE Specturm, April 15, 2019.
  - Amazon scraps secret artificial intelligence recuriting engine that showed biases against women.
- Fake AI: The Mechanical Turk, a chess master hidding inside the machine.
- Fake video.
  - Barack Obama speech.
  - It's Getting Harder to Spot a Deep Fake Video.
- Three laws of robotics, by Issaac Asimov in 1942.
- Taiwan Computing Cloud (TWCC); Taiwan Web Service (TWS).
- John Sum, Benefits and threads of intelligent technology, unpublished manuscript, November 2021.

Assignments

Assignment 01 (Due date: September 29, 2023).
Assignment 02 (Due date: October 20, 2023).
Assignment 03 (Due date: November 03, 2023).
Assignment 04 (Due date: November 24, 2023).

Lecture Diaries

Use of AI Tools

AI tools, like ChatGPT and Google Bard, have to be used with extrememly careful. Some AI tools might give incomplete information in response to certain questions. Moreover, Google Bard does not provide any reference for the content generated. Students have to be aware of these drawbacks.

ChatGPT, Google Bard and other AI text generators are very good in paraphrasing. Using these tools to paraphrase your assignments and project reports are highly encouraged.

You are allowed to use AI tools, like ChatGPT and Google Bard, for your assignments and project report. In the first step, you have to complete your assignment or the project report based upon your own writing. In the second step, you could use those AI tools to paraphrase the contents of your assignments and reports.

WARNING: For any part of the content (respectively, any word) you have put in an assignment or report, I will ask for your reason and explanation why this part of content (respectively, the specific word) has to be added. If you fail to do so, your assignment (respectively, group project) score will be zero. Nevertheless, your assignment (respectively, group project) score will be zero if you fail to give the source for any part of the content you have added in your assignment (respectively, group project).