一些常聽的 Podcast 節目和培養英文聽力的方法

一些常聽的 Podcast 節目 (*)，適合坐車、(讓眼睛) 休息、睡前、或運動時聽

• Acquired: 
• Google search: Stories about its technology and business model
• How ARM Became The World’s Default Chip Architecture (with ARM CEO Rene Haas)
• The Complete History & Strategy of Microsoft: Vol. I, Vol. II 
• Renaissance Technologies: The best-performing investment firm of all time. A book. The hosts even talk about the hidden Markov process!
• TSMC Founder Morris Chang
• American Public Media: Marketplace
• Asianometry: Global Semiconductor Issues, Semiconductor "Course", TSMC Analysis
  

The most-cited papers of the twenty-first century

Helen Pearson, Heidi Ledford, Matthew Hutson & Richard Van Noorden, Exclusive: the most-cited papers of the twenty-first century: A Nature analysis reveals the 25 highest-cited papers published this century and explores why they are breaking records, Nature, 15 April 2025. (Supplementary information)

Papers in AI:

中原隨筆 (My days at CYCU)

在台南住了20幾年，因為種種因素，來到中原大學任教。懷念台南的好天氣、上下班不太塞車、和美食。秉持共好的精神，紀錄我在中原的所見所聞。

• 商業分析實驗室 (Business Analytics Laboratory)：指引 (Guides)，論文報告 (Group meeting)
• 翻轉教室 (Flipped classroom)：工業系 許某教授，什麼是『大學生』
• Feel stressed (壓力山大) about your graduate studies?，快樂和健康地活著，壓力管理
• 工業系必修 (應用和產業知識)：微積分 (計算螺絲的體積)，機率與統計，電路和電子學，線性代數，作業研究 (含最佳化)，學習數學的四個層次，首頁右側的標籤有更多的資訊
• 作業研究：學科競賽，期末報告優秀作品，到高中的介紹 (提問)，最差和最佳的應用場景，進一步的資訊
• Some books and information on machine learning and AI
• AI 時代的數學基礎：微積分，機率與統計，線性代數，作業研究 (含最佳化)。
• 暑期實習 (new)
• 學習：學習動力與方向 (1, 2)，態度與方法，聽不懂演講時怎麼辦，上台報告的方法與建議，專題和論文的製作與報告 (tips for the final project and your thesis)，國科會大專學生研究計畫，如何準備研究所，預備研究生 (4 + 1) (包含資料科學相關研究所和職涯準備)
• Some information and papers related to the seminar
• 培養思辨能力
• 為什麼工 (資) 管的課程看起來很雜？
• 機器學習和作業研究的奇妙結合  (最後一頁：天賦或努力)  
• 李芳齡譯，心態致勝：全新成功心理學 (Carol S. Dweck, Mindset: The New Psychology of Success)

工業工程總結實踐

建議

作業與資訊 (Homework and Information)

作業研究和機器學習

課程

• 作業研究 (上): 3.8 迴歸，11.2 迴歸，12.3.1 類神經
• Google Scholar: generative ai optimization
• 作業研究 (下): 2 Robust Optimization (穩健最佳化)，3 適應穩健最佳化，5 資料驅動的報童模型
• Applications in generative AI: diffusion probabilistic models 
• Dmytro Kuzmenko, Denoising diffusion probabilistic models
• Lilian Weng, What are Diffusion Models?
• Dimitris Bertsimas and Georgios Margaritis, Robust and Adaptive Optimization under a Large Language Model Lens, arXiv:2501.00568.
• 最佳化和機器學習：

  機器學習和作業研究的奇妙結合

Use LLM (e.g., ChatGPT) to learn ***

Dimitris Bertsimas and Georgios Margaritis, Robust and Adaptive Optimization under a Large Language Model Lens, arXiv:2501.00568. (new)

Be careful

• 陳曉莉，MIT研究顯示，習慣用 AI 寫文章會讓腦袋變笨，iThome，2025-06-20 (Nataliya Kosmyna, et al., Your Brain on ChatGPT, arXiv:2506.08872)
• Lee, Hao-Ping (Hank), et al., The Impact of Generative AI on Critical Thinking: Self-Reported Reductions in Cognitive Effort and Confidence Effects From a Survey of Knowledge Workers, 2025, CHI '25: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, Article No.: 1121, Pages 1 - 22. https://doi.org/10.1145/3706598.371377

Manny Li，Google公布AI提示萬用公式！掌握「21字黃金法則」：先穩80分基本功再求好，bnext，2025.08.05

Barbara Oakley, Accelerate Your Learning with ChatGPT, Coursera

The Batch by A. Ng

weekly summary of AI and more by a. Ng. Free subscription and enjoy reading/Listening like I  do.

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• issue 309: Inside Walmart’s AI App Factory (Walmart is no. 1 company in revenue.
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• Large scale system: The system aggregates data generated by 240 million customers and 2 million store personnel, feeding applications that streamline operations among 100,000 suppliers, 150 distributors, and 10,000 retail venues in 19 countries.

雷鋒網，年終收藏，吳恩達盤點 2020 年度 AI 熱門事件，2020 年 12 月 31 日

Some books and information on machine learning and AI

General introduction (without math)

• 簡禎富，工業3.5：台灣企業邁向智慧製造與數位決策的戰略，天下雜誌，2019
• Alex J. Gutman and Jordan Goldmeier, Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning, Wiley, 2021.

世界經濟論壇 2025 年未來就業報告

World Economic Forum, The Future of Jobs Report 2025,  7 January 2025.

Technological change, geoeconomic fragmentation, economic uncertainty, demographic shifts and the green transition – individually and in combination are among the major drivers expected to shape and transform the global labour market by 2030. The Future of Jobs Report 2025 brings together the perspective of over 1,000 leading global employers—collectively representing more than 14 million workers across 22 industry clusters and 55 economies from around the world—to examine how these macrotrends impact jobs and skills, and the workforce transformation strategies employers plan to embark on in response, across the 2025 to 2030 timeframe.

張國鈞、張曉琪、張艾琦，2025年WEF未來工作報告，國科會科技發展觀測平台，2025/04/22

Foundations of Computer Vision

Antonio Torralba, Phillip Isola, and William Freeman, Foundations of Computer Vision, The MIT Press, 2024.

作者是三位 MIT 的教授。如果你想了解電腦視覺 (Computer vision) 相關研究，甚至機器學習、研究方法，大力推荐。我有空就翻一下，增加對整個領域的了解，每次都有驚喜，很神奇的書。例如

Reinforcement learning is enough to reach general AI

David Silver, Satinder Singh, Doina Precup, and Richard S. Sutton, Reward is enough, Artificial Intelligence, Volume 299, October 2021, 103535.

In this article we hypothesise that intelligence, and its associated abilities, can be understood as subserving the maximisation of reward. Accordingly, reward is enough to drive behaviour that exhibits abilities studied in natural and artificial intelligence, including knowledge, learning, perception, social intelligence, language, generalisation and imitation. This is in contrast to the view that specialised problem formulations are needed for each ability, based on other signals or objectives. Furthermore, we suggest that agents that learn through trial and error experience to maximise reward could learn behaviour that exhibits most if not all of these abilities, and therefore that powerful reinforcement learning agents could constitute a solution to artificial general intelligence.

Summarized AI information from IEEE Spectrum

Eliza Strickland, 12 Graphs That Explain the State of AI in 2025 Stanford’s AI Index tracks performance, investment, public opinion, and more, IEEE Spectrum, 07 Apr 2025

• Stanford HAI, The 2025 AI Index Report

Eliza Strickland, The Top 10 AI Stories of 2024, IEEE Spectrum, 31 Dec 2024.

Yearly summarization of Google AI research coauthored by Jeff Dean and more

Jeff Dean (google scholar)

Some information and papers related to the seminar

(4/9/2025) 許志華 (The original speaker needs to take care of emergency affairs.)

• Dimitris Bertsimas and Michael Lingzhi Li, Scalable holistic linear regression, Operations Research Letters, Volume 48, Issue 3, May 2020, Pages 203-208.
• We could not reproduce their results in the paper, so I asked Prof. Li for his code. He told me he finished the paper as a course project (MIT style?!😂), and the codes were stored on another obsolete hard drive. 
  

電路和電子學的產業知識

工業與系統工程學系隸屬於電機資訊學院，所以系上同學們都要修習電路學和電子學相關的課程。在電機系，這些是非常重要的基礎知識；而且，從 IC 設計、晶圓代工、到封裝測試，台灣有許多世界級的領導廠商，所以，值得同學們好好地學習相關的知識。更多資訊。

TaiwanPlus Docs, Inside Micron Taiwan’s Semiconductor Factory (美國美光科技在台灣的工廠，稱為外國直接投資 (Foreign direct investment, FDI))

以下介紹一些科普和整體產業的書籍和影片，希望可以增加同學們的學習動機，並且增加職涯發展的機會：

2024 ACM A.M. Turing Award

ACM A.M. Turing Award Honors Two Researchers Who Led the Development of Cornerstone AI Technology: Andrew Barto and Richard Sutton Recognized as Pioneers of Reinforcement Learning, New York, NY, March 5, 2025

價值戰爭

 作者：朱敬一/ 羅昌發/ 李柏青/ 林建志，譯者：許瑞宋，價值戰爭: 極權中國與民主陣營的終極經濟衝突，衛城出版，2023 

美中經濟衝突的根源是什麼？

經貿往來為什麼無法造就民主國家與專制國家的穩定合作？

何以市場理性無法擱置自由與集權的對峙？

AI Alignment

Articles: 

• Medha Bankhwal, Ankit Bisht, Michael Chui, Roger Roberts, and Ashley van Heteren, AI for social good: Improving lives and protecting the planet, McKinsey, 2024.
• Yoshua Bengio et al., Managing extreme AI risks amid rapid progress, Science, 20 May 2024, Vol 384, Issue 6698, pp. 842-845 (arXiv)
• Jiaming Ji et al., AI Alignment: A Comprehensive Survey, arXiv:2310.19852 (website)
• Jack Stilgoe, Technological risks are not the end of the world, Science, 18 Apr 2024, Vol 384, Issue 6693.

How Could Machines Reach Human-Level Intelligence?

Yann LeCun, How Could Machines Reach Human-Level Intelligence?, Columbia Engineering, 2024/10/24 (slide)

Daron Acemoglu is not having all this AI hype

Robin Wigglesworth, Daron Acemoglu is not having all this AI hype, Financial Times, May 28 2024. 

Who is Daron Acemoglu? 246,645 Citations so far!