05 February 2017

Weekend Notes - Patterns

MAP of Physics/Mathematics

The same patterns appears everywhere. The language is different - it's also within the language.
These similarities reveals the correlation - as symmetries; laws/formulas/algorithms.
These symmetries reveal the not-yet-discovered-things-and-properties.

Simplicity enables Maximum events (Information) per Time or Energy,
and this efficiency emerge (self-organising).
Events that hasn't happened is a sort of potential energy. Or Entropy is the weight past events.

Dark matter: of course waves (electrons/gravitons/photons/...) needs a inter-medium.





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What is the shape of all knowledge

As xkcd and others have suggested, if you repeatedly follow the first link presented in an article, you’ll always end up at Philosophy. 

We found that articles consistently flow from specific to broader topics—similar to the banana’s path from fruit to biology, with most paths converging on a few topics. When we measured accumulation and influence, the dominant articles fit in one of three categories: academic disciplines (left hand), abstract notions (middle hand), and modern topics (right hand).


SCIENTIFIC CONCEPTS           GENERALCONCEPTS                 HUMAN CONCEPTS

You’ll find a handful of articles floating in a word cloud. Philosophy, as suspected, is especially dominant, ranking first in influence by two orders of magnitude. After Philosophy come broad areas of knowledge: biology, health care, and “web page”.

Copied from: Site ----
WomensMarch
On January 21st, 2017, the Women’s March on Washington gathered enormous crowds in collective protest of the newly inaugurated President of the United States, Donald Trump. 



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Chart types: FT
https://github.com/ft-interactive/chart-doctor/blob/master/visual-vocabulary/Visual-vocabulary.pdf

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Sleep - twitter



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Traveling pattern

Page

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IMPROVEMENTS
Division of tasks + Efficient cooperation (between tasks) --> Most Effective output
Cooperation requires trust


Democracy Index





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DATA VISUALISATION CATALOGUE



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VISUALISATION TOOLS


Screen shot

Comparing these tools:
gif
Twitter: https://twitter.com/lisacrost


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Act & React





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anthropocene equation
http://www.futuretimeline.net/blog/2017/02/14.htm#.WKOZ0fkrKwU


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Proverb/Adage
Balance Of Power : The Equal Stake Model : "Fortune for Unfortunate."
"Power Corrupts, and Absolute Power Corrupts Absolutely"
"Freedom consists of the Distribution of Power, and Despotism in it's Concentration"
Link

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Neural Network v.s. Deep Learning
Photo published for Is Google Hyping it? Why Deep Learning cannot be Applied to Natural Languages Easily
Link: https://t.co/f3t5ntFJve (via: https://twitter.com/hashtag/NeuralNetworks?src=hash)

Neural networks (NNs), recently referred to as deep learning, only work "effectively" with data that is produced from a process of a continuous function.

1. Classify - give it a name
2. Cluster - group-name



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Criminal faces (10% fail-rate?)


Read the black-board
Etingof-130323-110039
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Nice (R-code)



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Visual Information Theory

"Machine learning is what I know best, so let’s talk about that for a minute. A very common kind of task in machine learning is classification. Let’s say we want to look at a picture and predict whether it’s a picture of a dog or a cat. Our model might say something like “there’s a 80% chance this image is a dog, and a 20% chance it’s a cat.” Let’s say the correct answer is dog – how good or bad is it that we only said there was an 80% chance it was a dog? How much better would it have been to say 85%?
This is an important question because we need some notion of how good or bad our model is, in order to optimize it to do well. What should we optimize? The correct answer really depends on what we’re using the model for: Do we only care about whether the top guess was right, or do we care about how confident we are in the correct answer? How bad is it to be confidently wrong? There isn’t one right answer to this. And often it isn’t possible to know the right answer, because we don’t know how the model will be used in a precise enough way to formalize what we ultimately care about. The result is that there are situations where cross-entropy really is precisely what we care about, but that isn’t always the case. Much more often we don’t know exactly what we care about and cross-entropy is a really nice proxy.12
Information gives us a powerful new framework for thinking about the world. Sometimes it perfectly fits the problem at hand; other times it’s not an exact fit, but still extremely useful. This essay has only scratched the surface of information theory – there are major topics, like error-correcting codes, that we haven’t touched at all – but I hope I’ve shown that information theory is a beautiful subject that doesn’t need to be intimidating."
Link: http://colah.github.io/
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Organic Style of Generative Design


"The Dreamcatcher system allows designers to input specific design objectives, including functional requirements, material type, manufacturing method, performance criteria, and cost restrictions."
--> Revenue/Cost side: Target/Restrictions

The inside of AI-brain:
Functions blocks
Not surprising despite being different from biology, the resulting observable behaviour is similar. It confirms that the fundamental processes underlying all are the same.
I'm happy to truly understood the fundamental processes that everyone is seeking to discover.


Survival = Time

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A set of travel posters from NASA/JPL depicts various cosmic destinations.
I have most of them

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NEURAL NETWORK CAN CREATE HIGH-RES IMAGES BASED ON A TEXT DESCRIPTION

“For many years, we have trained neural networks to perform tasks like face, traffic sign, or handwriting recognition,” Zsolnai-Fehér told us. “Generally, with millions of training examples, we show the neural network how to do something, and expect them to learn these concepts, and do well on their own afterwards. This piece of work is completely different: here, after learning the neural networks are able to create something completely new — such as synthesizing new, photorealistic images from a piece of text we have written. This opens up a world of possibilities, and I am super-excited to see where researchers take this concept in the future.”


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Shockingly high numbers
Most people are would never believe that 50%,
of all New Yorkers are in poverty for at least One year.


Fathom Information Design, in Boston, MA
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And salaries?
plot2_violin
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https://youtu.be/dVh3pzyjnUU?t=1240   20:40


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Growth in Sales and Income (salaries)

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Sell your personal data
Atomite

08 January 2017

Weekend notes

Fair Agreements - they way friends think/feel

Two models: a) only what's promised* --> predictable,  b) only what's fair --> just

This would legitimate the develop a values (värdegrund) articulated/expressed like loyalty/care.
Mutual - solidarity - Commutative/Kommutativitet (x*y=y*x)

* Pacta sunt servanda - agreements must be kept
* ... - but only if they are built on a fair foundation (morally just)
---> "Fair agreements must be kept"

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Post: R is better then M
Top 10 machine learning algorithms - and their usage


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Yule tree: Key success/failure-factors to evolution


We're closer to robots than you think. 
Intelligence could be the product of a basic algorithm
 161201-brain formula graphic Source Augusta University
This algorithm is found in the Theory of Connectivity, a “relatively simple mathematical logic underlies our complex brain computations,” according to researcher and author Joe Tsien.

The theory describes how groups of similar neurons form a complexity of cliques to handle basic ideas or information. These groups cluster into functional connectivity motifs (FCM), which handles every possible combinations of ideas. 



Pic. Site
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Infographics 2016

 Source: http://scholar.harvard.edu/baym/home




Tweenr: YouTube, GitHub

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Ethical Esthetic: AxessTV serie


120319 | Konstlab | Elisabet Yanagisawa Avén from Atalante on Vimeo.

Japansk Estetisk Filisofi: konst design och filosofi,
Relationer mellan materia och abstraktion. Vad som händer innan det blir materia, först skapa händelser, på ytan. Begrepps-artikuleringar. Ytan, Ytlig, Framträda, Betraktas, Gest-estik. Fenomenologi inte tillräcklig, Det strukturella studiet (begreppen) kommer efter.
Rama in framträdandet skapar förutsättningar för fånga det.
Att beröra och bli berörd.

Rämnor - mellanrummet visar relationen, vad det kommer från.
Ma: inom musiken är mellanrummen - things to come.
Att abstrahera detta gör det begripligt.
Assemblange; the art of making things fit.

Spatio-Temporal
Att upptäcka mellanrummen eller mellan-tingen, det mellan-begreppsliga, som ett sätt att närma sig det-som-är genom att förstå det-som-inte-är, och att båda har en potential, till sin motsats.
Särskillt som minnets närhet, skapar en förväntan.

Begrepps-arkeologi: Hitta artefakter. Återupptäcka
Det namnlösa.

SlideShare
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Everything Facebook knows about you
...that advertisers can use.


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Fotografiska
To fight for something is also to fight against something.
However, we lack the vocabulary for those things; the categories to fight for/against.
Equal rights (is a vision) & equal resource (is a reality).
To share the benefit of your values, time, voice, resources with others (those most in need).
30% tax is 1/3 for the society. 2/3 for me and 1/3 for we.
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Image result for Origin of the Elements in the Solar System


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Moral reframing (4:15): Teach Liberals, to use Conservative value words - and vice versa.

Image result for moral reframing


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Civic Power



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How to Topple a Dictator: 
* Unity, Planning, Non-violence
* Enthusiasm & Humour v.s. Fear & Apathy

27 November 2016

Weekend notes + ARIS + Unethical not to evolve + SI-units


ARIS
Close to how I think...




Video: See at 6.34.

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Unethical not to evolve
Video: ... + Planetary-database


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Fundamental building blocks



Pic. Current model and proposed. The fundamental 'should be' at the base, and then branch upwards.

Storheter som bara har storlek och dimension kallas skalära
De som dessutom har riktning kallas vektoriella eller vektorstorheter.
SI-enheter, Härledda SI-enheter
SI
Skalär storhet: storlek och dimension
Vektorstorhet: storlek, riktning och dimension
En vektorstorhets storlek är aldrig negativ.

Substansmängd (tidigare kallad ämnesmängd) är en grundstorhet, som anger ett antal av mer eller mindre reella partiklar eller kroppar. Jfr. substantiv.
Substansen består av elementära partiklar. Ex. Ampere är en ström av elektroner. Substansmängden elektroner kallas coloumb. 1 Ampere = 1 Coloumb per sekund.

Ljus
Fotoelektrisk effekt är ett fysikaliskt fenomen där elektroner slungas ut från ett ämne då det belyses medelektromagnetisk strålning av tillräckligt hög frekvens
Ljus (>viss frekvens) --> Elektronen slungas ut ur sin bana

3 fall:
  • Fotonens energi är mindre än utträdesarbetet: Elektronen får inte tillräckligt med energi för att slås ut från metallen.
  • Fotonens energi är lika med utträdesarbetet: Elektronen får nätt och jämnt energi till att slås ut, men inget kvar till rörelseenergi Ek.
  • Fotonens energi är större än utträdesarbetet: Elektronen slås ut och får en rörelseenergi Ek = hf - W0.

På följande grundenheter baseras alla andra enheter:
StorhetGrundenhetSymbol
Längdmeterm
Massakilogramkg
Tidsekunds
Elektrisk strömampereA
TemperaturkelvinK
Substansmängdmolmol
Ljusstyrkacandelacd
Ampere = Coulomb per sec
Temp = energy via radiation or material 
Mol is an amount of substance
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The UniVerse
View1: Matter and Non-matter, M : nM, M = E/c^2 : nM= ... ?
View2: Energy and Non-energy, E : nE, E=Mc^2 : nM=... ?
View3: Distance & Time
A DiVine

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Human BrainCells: 85,000,000,000, Each have ca7,000 relations (synapses)
C-Elegance: 300 x 300 --

Image result for formula connections
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Form follows Function : Inspiration creates Transformation 

20 November 2016

Holliday notes: Viable complexity + Google research


Stabilize the template, the information-carrier for the process:
But is it errors, or incremental developments.



Deciphering information:
"This suggests that we are approaching human performance—but only on well-formed text. "
Google research blog


Ambiguity, can be handled by experience; of what's important.
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Pastiche (Content, Style) =>
Content = Current Facts
Style = changes (errors/improvements) to evolve, towards a new complexity.
Image result for https://research.googleblog.com tables

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Translation quality:


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An organism consists of organs or functions - a living or recursive function.