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

Research

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

Nice talks on AI, geopolitics, optimization, SCM, and more

Harvard University, Ronny Chieng Address | Harvard Class Day 2026, 2026/5/30 (Ronny Chieng)

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)
• 新課：Nonlinear Optimization (非線性最佳化)

作業研究期末報告

優秀作品 (內容和投影片製作)

• 廖庭煜、陳秉均、汪志剛，儲能整合應用規劃 (pdf，2022 秋作業研究 (上)。清楚說明，問題和數學與程式的對應關係) 
• 王喬誼、潘幸慈、許雅婷：Trading Strategy in the book Python for finance by Yves Hilpisch (pdf，2023 春作業研究 (下)。將一般的方法移到後面。只報告複雜的方法，以便在八分鐘內完成)

Summarized AI information from Stanford HAI and IEEE Spectrum

Want to understand the global AI landscape? These reports are fantastic for staying updated on state-of-the-art trends. I highly recommend them to all my students, especially for doing research and job interview prep.

Stanford HAI, The 2026 AI Index Report

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.

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 (Some frequently listened-to podcasts (*) suitable for listening while traveling, giving your eyes a rest, before bed, or during exercise.) 

• Acquired (You could look at its transcript using iPhone.)
• Google Part III: The AI Company 
• I am listening to it the third time to fill in some missed details.
• In a rapidly changing world, learning how technology, corporations, and uncertainty management interact is essential.
• Hinton did split the money fairly with his students, so the message in the podcast is incorrect.
• 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
  

作業研究競賽題目

Please cite this webpage if you use the material/method in this blog. Thank you. (如果您使用本部落格中的資料/方法，請註明此來源網頁。謝謝。)

• Some papers/information for idea generation or implementation

預備研究生 (4 + 1) (包含資料科學相關研究所和職涯準備)

預備研究生規定 (資訊處，新增加同學的問題)

• 培養
• 商業分析實驗室 (Business Analytics Laboratory)：論文。
• 人少，老師 (每週) 單獨討論。學生的光，老師看得見。
• 根據經驗，班排不是一個絕對的指標。重點在於想要 (投入時間) 改變自己。
• 可詢問庭煜，準時畢業且有良好的研究成果。建議從三下開始；庭煜從三下準備校外機器學習競賽、暑假實習和我做研究。

The coming wave

Mustafa Suleyman and Michael Bhaskar, The Coming Wave: Technology, Power, and the Twenty-first Century's Greatest Dilemma, Crown, September 5, 2023

洪慧芳譯，控制邊緣：未來科技與全球秩序的抉擇，感電出版，2024

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.

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.

工業工程總結實踐

建議

作業與資訊 (Homework and Information)

Tabular foundation model

Hollmann, N., Müller, S., Purucker, L. et al. Accurate predictions on small data with a tabular foundation model. Nature 637, 319–326 (2025). https://doi.org/10.1038/s41586-024-08328-6 (Code)

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:

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

The Batch by A. Ng

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

• 
  
• 
  
• 
  
• 
  
• issue 309: Inside Walmart’s AI App Factory (Walmart is no. 1 company in revenue.
• )

• 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

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.

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

Jeff Dean (google scholar)