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Artificial Intelligence 06 – Neurones Concepts Recognition by 256 Synapses

Written By: Jean-Paul Cipria - Juil• 29•17
Intelligence Artificielle 7 Segments - ©Jean-Paul Cipria 2017

Intelligence Artificielle 7 Segments – ©Jean-Paul Cipria 2017.

How to simulate a pattern recognition ? For exemple we have to learn by training to recognize the 10 first arabian letters to assignate to « zero » to « nine » concepts.
Where are Synapses ? Where are the Neurones ? Where are the Concepts Localization on Brain ?

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Created :2017-07-29 17:54:42. – Modified : 2018-02-24 19:33:20.


Difficult ! Master Level.

Difficult ! Master Level.


Done ... Un Café ?

Done … Un Café ?

Let’s see a Matlab simulation for a prototype without using tools elaborate for ?

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Artificial Intelligence 05 – Mental Fluidity

Written By: Jean-Paul Cipria - Juil• 25•17

La distinction entre le type et l’attribut est une clé majeure dans la compréhension de la cognition humaine.

Difficult ! Master Level.

Difficult ! Master Level.


Expériences En Construction

Expériences En Construction

Created :2017-07-25 13:29:02. – Modified : 2017-07-31 18:28:29.

La fluidité mentale est

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How do a PhD to Learn a High Level Paradigm and Concepts ?

Written By: Jean-Paul Cipria - Juil• 21•17
Simple Idea to a Doctorate Thesis Level - ©Jean-Paul Cipria 2017

Simple Idea to a Doctorate Thesis Level – ©Jean-Paul Cipria 2017

It is important to trace how a Doctorant follows a mind trajectories to improve his knowledge.
Then let’s try to follow an example.

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Created :2017-07-21 19:52:37. – Modified : 2017-07-31 18:24:53.


Very Difficult - PhD Level

Very Difficult – PhD Level


Done ... Un Café ?

Done … Un Café ?

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Annexes de Thèse de Doctorat en Physique – Présentation Courte – 2min19.

Written By: Jean-Paul Cipria - Juil• 20•17
HMI - Annexes de Thèse de Doctorat - ©Jean-Paul Cipria

HMI – Annexes de Thèse de Doctorat en Physique – ©Jean-Paul Cipria

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Created :2017-07-20 12:27:19. – Modified : 2017-12-29 20:56:50.


Very Difficult - PhD Level

Very Difficult – PhD Level


Done ... Un Café ?

Done … Un Café ?

Annexes de Thèse de Doctorat en Physique – Présentation Courte. Film 2 min 19s.

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Artificial Intelligence 04 – Propositionnal Logics or Relationnal Quantities ?

Written By: Jean-Paul Cipria - Juin• 23•17
It is ... a Car and also a Scientific Regression ?

It is … a Car and also a Scientific Regression ? Picture 1.

First articles 01, 02 and 03 on artificial intelligence used relational laws from quantities, measurements, statistics to and from same concepts. It is one of the 20th century sciences methods. We establish relationships  with mathematical equations on a real phenomenon descriptive variables.

Difficult ! Master Level.

Difficult ! Master Level.


Expériences En Construction

Expériences En Construction

Created :2017-06-23 11:41:33. – Modified : 2017-07-31 18:28:42.

Then we forgot since Galileo around 1600, with great, huge successes, to use smelling, hearing and common human sensations or sentiments. It was a great discover by scientists to do some methods seated on measurements with relationship with numeric quantities WITHOUT our own opinions.

Then, now we are trying to go forward ? How ? Why artificial intelligence is so difficult to grasp with « old « sensations » methods as non sciences ones ?

As you might guess …

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