Grandes écoles: France’s elite-making machines

Pros of Grandes Ecoles:

  1. Very high standard Engineering / Business / Public Administration / Science & Math Colleges.
  2. Two years of Preparatory Class drilled in advanced Math / Physics / Chemistry.

Cons of Grandes Ecoles:

  1. “Social Reproduction” of French elites within upper-class families for generations.
  2. Elitist – all think in the same mould.

This is similar criticism of the 1300-year-old Ancient Chinese Imperial Exams (科举 pronounced in China Fujian province’s Min ‘闽’ dialect as \Kor-coo, sounds like Grande Écoles Entrance Exams “Concours” \Kong-coo) from which Napoleon Bonaparte, who was strongly recommended by the French Jesuits living in China Fujian as a meritocatic Mandarin selection system, copied it for the first French Grande Ecole (GE) : Ecole Polytechnique (X), and subsequently all other GE in the past 200 years till today.

Flutter Tutorial

1. Best Introduction : Start From the Basics

https://medium.freecodecamp.org/an-introduction-to-flutter-the-basics-9fe541fd39e2

Useful tips (Android Studio)

“Comd S” : Hot Reload

“Comd – >” : rotate iPhone simulator 90 degree

2. Coding Tutorials

2.1 Layouts

Widget Tree:

https://flutter.io/docs/development/ui/layout#flutters-approach-to-layout

2.2 More (… eg. Regex Validation Input)

View story at Medium.com

The amazing power of word vectors

the morning paper

For today’s post, I’ve drawn material not just from one paper, but from five! The subject matter is ‘word2vec’ – the work of Mikolov et al. at Google on efficient vector representations of words (and what you can do with them). The papers are:

From the first of these papers (‘Efficient estimation…’) we get a description of the Continuous Bag-of-Words and Continuous Skip-gram models for learning word vectors (we’ll talk about what a word vector is in a moment…). From the second paper we get more illustrations of the…

View original post 1,685 more words

In Math We Trust: Quantum Computing, AI and Blockchain – The Future of IT

In memory of Prof Zhang Shoucheng 张首晟教授 who passed away on 1 Dec 2018.

Key Points :

  1. Quantum Computing with “Angel Particle” (no anti-particle) : [Analogy] Complex Number (a + i.b) , ‘Anti’ = Conjugate = a – i.b, ‘No anti’ = Real number = a
  2. A. I. Natural Language Algorithm : “Word To Vector” eg. King / Queen (frequently appear together) , etc.
  3. Data Privacy and Big Data Analytics with A. I. : Homomorphic Encryption, ie reveal data but not privacy. (eg. Millionaire Problem)