敗部區疫苗的逆襲

楊惠君、陳潔敗文字，楊子磊攝影，敗部區疫苗的逆襲──從賽諾菲到國光，傳統疫苗大廠為何栽跟斗？有復活機會嗎？，報導者，2021/6/30

「國光生技」是台灣最老牌的人用疫苗廠，但與他們合作生產四價流感疫苗的國際伙伴──法國大藥廠賽諾菲集團（Sanofi）一樣，在COVID-19疫苗研發的第一階段競逐，落入敗部區。兩家藥廠的重組蛋白疫苗跌倒路徑也相似：「臨床試驗劑量計算失誤，沒有激發足夠的免疫反應」，只能退回起跑點再來過。...

Reinforcement Learning for Industrial AI with Pieter Abbeel

The TWIML AI Podcast, Reinforcement Learning for Industrial AI with Pieter Abbeel - #476, 2021/4/20.

Today we’re joined by Pieter Abbeel, a Professor at UC Berkeley, co-Director of the Berkeley AI Research Lab (BAIR), as well as Co-founder and Chief Scientist at Covariant.

In our conversation with Pieter, we cover a ton of ground, starting with the specific goals and tasks of his work at Covariant, the shift in needs for industrial AI application and robots, if his experience solving real-world problems has changed his opinion on end to end deep learning, and the scope for the three problem domains of the models he’s building.

We also explore his recent work at the intersection of unsupervised and reinforcement learning, goal-directed RL, his recent paper “Pretrained Transformers as Universal Computation Engines” and where that research thread is headed, and of course, his new podcast Robot Brains, which you can find on all streaming platforms today!

The complete show notes for this episode can be found at twimlai.com/go/476.

Optimization modelling: A practical approach

Ruhul Amin Sarker and Charles S. Newton, Optimization modelling: A practical approach, CRC Press, 2007. 

Although a useful and important tool, the potential of mathematical modelling for decision making is often neglected. Considered an art by many and weird science by some, modelling is not as widely appreciated in problem solving and decision making as perhaps it should be. And although many operations research, management science, and optimization books touch on modelling techniques, the short shrift they usually get in coverage is reflected in their minimal application to problems in the real world. Illustrating the important influence of modelling on the decision making process, Optimization Modelling: A Practical Approach helps you come to grips with a wide range of modelling techniques.

智能工廠來了

陳泳翰，智能工廠來了！：一場水五金與手工具的創新實驗紀錄，天下雜誌，2021

歷時兩年半的「水五金與手工具產業智動化計畫」，簡稱「水手計畫」，同時也象徵著水手們乘風破浪的勇敢無懼精神。來自上銀科技的精密機械工程師，攜手四間傳統工廠：隴鈦銅器、勝泰衛材、銳泰精密、伯鑫⼯具，讓機器人實現產線智慧化、自動化的願景，不僅減輕第一線的人力負擔，也改變了黑手工廠形象，吸引更多年輕世代投身其中。

Algorithms for Decision Making

Mykel Kochenderfer, Tim Wheeler, and Kyle Wray, Algorithms for Decision Making, MIT Press, 2022. (pdf available online)

A broad introduction to algorithms for optimal decision making under uncertainty. We cover a wide variety of topics related to decision making, introducing the underlying mathematical problem formulations and the algorithms for solving them. Figures, examples, and exercises are provided to convey the intuition behind the various approaches. This text is intended for advanced undergraduates and graduate students as well as professionals. The book requires some mathematical maturity and assumes prior exposure to multivariable calculus, linear algebra, and probability concepts. Some review material is provided in the appendix. Disciplines where the book would be especially useful include mathematics, statistics, computer science, aerospace, electrical engineering, and operations research. Fundamental to this textbook are the algorithms, which are all implemented in the Julia programming language.

Prof. Kochenderfer also teaches 2 related courses at Stanford.