蔡明燁譯，英國製造：國家如何維繫經濟命脈，立緒，2017
當經濟不斷受挫之際，市場上很少出現正面的經濟觀。產業外移、房市泡沫、物價齊漲，薪資水平卻長期低迷甚至倒退，除了籠統歸因大環境不景氣之外，人們也開始質疑自己究竟能夠產製或銷售什麼有價值的東西，而未來的經濟又該走向何方？
他山之石，可以攻錯，在思考我們國家的產業發展時，或許可以看看英國如何度過金融海嘯，重新調整經濟體質，站穩腳步迎向國際新局的例子。而隨著篇章開展，讀者亦能逐漸將書中分析套用在台灣的經濟發展上，當在面對國內經濟轉型的各種挑戰時，不再如無頭蒼蠅般惶惶不安。
作者伊凡．戴維斯為英國經濟學者，也是長期深入觀察當地產業的財經記者，書中對英國經濟的分析採取正向樂觀的論點，但絕不盲目，而是就事論事，從嚴謹的數據與比較分析中得出持平而論的根據，並做出有力的提醒和檢討，目的是要說服讀者，一個正常開放國家的謀生實力，其實比我們所想像中要強得多。
Gilbert Strang. 18.065 Matrix Methods in Data Analysis, Signal Processing, and Machine Learning. Spring 2018. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: Creative Commons BY-NC-SA. (book)
Strang 教授教這門課的時候 83 歲，真的是終身學習的好典範。在美國，這種對專業的執著 (Tapley 教授) 令人欽佩。另外一個例子是 Breiman 教授，71 歲投稿隨機森林 (Random forests)，成為經典論文；其他幾篇重要論文，大都在 65 歲以後以單一作者發表！
Srini Devadas, Programming for the Puzzled: Learn to Program While Solving Puzzles, The MIT Press, 2017.
Learning programming with one of “the coolest applications around”: algorithmic puzzles ranging from scheduling selfie time to verifying the six degrees of separation hypothesis.
AWS re:Invent 2019 – Rob Smedley From Formula 1 Talks About Using AWS to Improve the Fan Experience, 2019/12/4
Formula 1 has been using Amazon EC2 for Computational Fluid Dynamics (CFD) to simulate race car aerodynamics, achieving the performance of a super computer at a much lower cost and reducing simulation time by an average of 70% — from 60 hours down to 18 hours. With the CFD project, Formula 1 used over 500 million data points to study downforce loss when two vehicles race in close proximity. (A car’s downforce increases its tire grip and cornering speed and reduces lap time.) Based on its CFD simulations, Formula 1 has designed a car for the 2021 racing season that reduces downforce loss in wheel-to-wheel racing from 50% to 15% — and offers a more exciting experience for fans.
Andrew Ng, A prosthetic leg that learns from the user's motion could help amputees walk more naturally, The Batch, August 05, 2020.
What’s new: Researchers from the University of Utah designed a robotic leg that uses machine learning to generate a human-like stride. It also helps wearers step over obstacles in a natural way.