- Here is my new proverbs.. - 1 Update
- About supercharging your bash workflows with GNU parallel.. - 1 Update
- Here is my new software inventions.. - 1 Update
| Amine Moulay Ramdane <aminer68@gmail.com>: Mar 27 06:57PM -0700 Hello, Here is my new proverbs.. I am a white arab and i think i am smart since i have also invented many scalable algorithms and algorithms.. Here is my new proverb: "The neo-nazis and white supremacists tell you to hate and hate, but this is immaturity of politics, because you have to know how to adapt efficiently and not only to survive, and this needs from us to know how to energizes the economy by attracting consumers or by being disciplined at knowing how to be an efficient consumer of products or services so that to energizes the economy and so that to bring the good spirit globally and locally. So as you see it needs emotional intelligence and it needs social intelligence and it needs smartness" And here is my other important proverb: More political philosophy about my new other smart proverb.. As you have just noticed i have just written a new proverb, and here it is: "R&D (Research and development) and innovation bring or introduce a kind of economic volatility, so you have to know how to manage it and how to manage the risk brought by it, so then you have to know how to manage efficiently by not hurting good competition" Note that "volatility" in the the dictionary means: "A tendency to change quickly and unpredictably" Read more here to notice it: https://www.merriam-webster.com/dictionary/volatility This new proverb of mine also says that since the R&D (Research and development) and innovation bring or introduce a kind of economic volatility, so we have also to know how to manage it carefully and efficiently with Antitrust laws, and here is the why of Antitrust laws: "Antitrust laws are statutes developed by governments to protect consumers from predatory business practices and ensure fair competition. Antitrust laws are applied to a wide range of questionable business activities, including market allocation, bid rigging, price fixing, and monopolies." This new proverb of mine is also related to the below problem that brings nationalism and its economic nationalism that hurts good competition, read about it carefully in my below writing and thoughts: More political philosophy about what are the big economic problems of China?.. I am a white arab, and i think i am smart since i have also invented many scalable algorithms and algorithms.. Here is the big economic problems of China: First economic problem is that China is addicted to debt, look at the following video to notice it: https://www.youtube.com/watch?v=IT7DTn9PKLw Second economic problem is that China has Not enough PEOPLE for the FUTURE, look at the following video to notice it: https://www.youtube.com/watch?v=y4qFVuXEe-8 Third economic problem, is that China has the same problem of nationalism and its economic nationalism that hurts good competition that brings efficiency, and here it is, read it carefully: Why is GERMANY Growing More Than JAPAN? and more about China... I am a white arab, and i think i am smart since i have also invented many scalable algorithms and algorithms, and today i will speak about: Why is GERMANY Growing More Than JAPAN? and more.. We have to be more smart, i think China is also reproducing the mistakes of Japan, because Japan has protected its large industrial conglomerates called in Japanese "Keiretsu" and Japan has compensated there disadvantages even if they were not efficient, and Japan didn't hesitate to give the Keiretsu all kinds of advantages and privileges even if they were not efficient, and this was not good for "competition" and Japan has "failed" by doing it. Look in this video carefully to notice it: Why is GERMANY Growing More Than JAPAN? - VisualPolitik https://www.youtube.com/watch?v=vou96yLuWXw I think this is the same that is happening with China, since i think China needs an efficient mechanism that protects correct "competition" that brings good efficiency, read the following to notice it: Competition: Europe's awakening in the face of foreign subsidies Our state aid rules are very strict: an EU company can only receive grants of up to € 200,000 over three years. In China, the three 5G operators received 19 million euros each through the megalopolis of Shenzhen (12 million inhabitants)… According to the Wall Street Journal (article of December 25, 2019), Huawei would have benefited from 75 billion state aid via different channels, figures denied by the company. State capitalism of China obviously raises the question of the inequity of world competition ... The direction the Commission is taking through the "white paper" is not this at all. The Commission does not seek to copy the Chinese model by favoring subsidized European champions. She does not deny her position in the Siemens-Alstom file. Margrethe Vestager was very clear on this point: "What we are asking for is reciprocity and conditions of equality. […] We are not going to sacrifice the advantages of competition to do the same thing that others do, namely to subsidize companies. No, because we would sacrifice the idea that the market is there to serve consumers with fairness and fair prices. " Read more here: https://translate.google.com/translate?hl=en&sl=auto&tl=en&u=https%3A%2F%2Fwww.lepoint.fr%2Fpolitique%2Femmanuel-berretta%2Fconcurrence-le-reveil-de-l-europe-face-aux-subventions-etrangeres-18-06-2020-2380631_1897.php Here is my other new proverb in english and french: Voici mon nouveau proverbe en français et en anglais: "La stabilité s'obtient avec la force de la perfection, car quand vous devenez plus parfait vous augmentez vos forces et donc vous résistez mieux aux instabilités, et je pense que ceci est comme une loi de la moralité" "Stability is obtained with the force of perfection, because when you become more perfect you increase your strenghts , then you better resist instabilities, and I think this is like a law of Morality" Read my following thoughts to understand more what is morality etc.: I think i am also a philosopher, and i can also invent proverbs, here is yet another new smart proverb of mine: "There is an important difference between the appearance of a reality and the truth of a reality, this is why in science you have not to be confident with the appearances, since in science you have to understand the truth, so, to be able to understand the truth you have to know how to be patience before understanding the truth and not to rush in like a fool by lack of wisdom " And here is another proverb of mine: "Wich one has to precede, being able to reason correctly or to rush in like a fool without being able to reason correctly? when you are able to answer correctly this question, you will understand a very important principle that makes you much more wise." Here is another new proverb of mine.. "A wise man is by "logical" analogy like the person that knows how to prepare a good meal from ingredients, since a wise man is the one that knows how to prepare a well organized society or well organized global world from the people." And here is my other new proverb: Note that the English dictionary defines "perfection" as: "the act or process of perfecting" Read here: https://www.merriam-webster.com/dictionary/perfection This is the definition of perfection above that I use below in my explanation of my new proverb. Here is all my explanation of my new proverb below: My new proverb comes to me from the essence of morality that I explained to you in my political philosophy that I wrote in English, since in morality we are pushed towards the pretty tomorrow because we are aware of this pretty perfume that is the perfection that pushes us or encourages us to be or allows us to become perfect or greatly perfect. Read about it here on my thoughts of my political philosophy about morality: https://groups.google.com/forum/#!topic/alt.culture.morocco/7UmkfURwoU4 So here is my new proverb: "Life is like the pretty perfume that calls us to be a pretty tomorrow!" So notice carefully my smart play on words in my new proverb, i think it's smart, and you have to know that the future perfection depends on the present perfection, so when today we are responsibility to be the pretty perfection so that to build the pretty tomorrow, then the pretty perfection of today is part of the pretty tomorrow, and the "pretty perfume" in my new proverb is also the today pretty perfection, but you have to understand the symbolic which allows us to say that being this part of the pretty tomorrow is also like being the pretty tomorrow. It is what makes it a smart proverb. Thank you, Amine Moulay Ramdane. |
| Amine Moulay Ramdane <aminer68@gmail.com>: Mar 27 06:10PM -0700 Hello... About supercharging your bash workflows with GNU parallel.. I am a white arab and i think i am smart since i have also invented many scalable algorithms and algorithms.. I invite you to read the following article: How to supercharge your bash workflows with GNU parallel https://www.freecodecamp.org/news/how-to-supercharge-your-bash-workflows-with-gnu-parallel-53aab0aea141/ I think the GNU parallel is not the right tool, because you have to abstract it much more correctly so that to avoid thread and process switching that hurts scalability, so then in case of GNU parallel you are required to take a look at the bash scripts source code and understand them so that to avoid excessive thread and process switching that hurts scalability, so i think that GNU parallel is not the right tool, so you have to use parallel "processing" between bash scripts so that to easy the job of managing scalability. So i invite you to read my following thoughts about my new software inventions.. And my today software invention is the following: You have to know that a Turing-complete system can be proven mathematically to be capable of performing any possible calculation or computer program, and bash shell for Linux and Windows are Turing-complete, and even if bash shell is not python, it is a minimalist language that is especially designed for administrators of operating systems, but i have noticed that bash shell is not suited for for parallel programming, this is why i am enhancing it with my scalable algorithms so that to support sophisticated parallel programming on both Linux and Windows that permits it to scale much better on RAIDs and on multicores. So i am also writing a book about my enhancement to bash shell with my scalable algorithms so that to help others be efficient in bash shell programming and efficient in operating system administration, and of course i will sell my book, so i don't think you need python since python doesn't come with my scalable algorithms that will enhance bash for Linux and Windows, and i think operating systems administrators don't need python since it is not suited for operating system administrators since it is not a minimalist language as bash for Linux and Windows. You can read more about bash shell from here: https://www.infoworld.com/article/2893519/perl-python-ruby-are-nice-bash-is-where-its-at.html Also my next software invention is the following: More philosophy about what is artificial intelligence and more.. I am a white arab, and i think i am smart since i have also invented many scalable algorithms and algorithms, and when you are smart you will easily understand artificial intelligence, this is why i am finding artificial intelligence easy to learn, i think to be able to understand artificial intelligence you have to understand reasoning with energy minimization, like with PSO(Particle Swarm Optimization), but you have to be smart since the Population based algorithm has to guarantee the optimal convergence, and this is why i am learning you how to do it(read below), i think that GA(genetic algorithm) is good for teaching it, but GA(genetic algorithm) doesn't guarantee the optimal convergence, and after learning how to do reasoning with energy minimization in artificial intelligence, you have to understand what is transfer learning in artificial intelligence with PathNet or such, this transfer learning permits to train faster and require less labeled data, also PathNET is much more powerful since also it is higher level abstraction in artificial intelligence.. Read about it here: https://mattturck.com/frontierai/ And read about PathNet here: https://medium.com/@thoszymkowiak/deepmind-just-published-a-mind-blowing-paper-pathnet-f72b1ed38d46 More about artificial intelligence.. I think one of the most important part in artificial intelligence is reasoning with energy minimization, it is the one that i am working on right now, see the following video to understand more about it: Yann LeCun: Can Neural Networks Reason? https://www.youtube.com/watch?v=YAfwNEY826I&t=250s I think that since i have just understood much more artificial intelligence, i will soon show you my next Open source software project that implement a powerful much more scalable Parallel Linear programming solver and a powerful much more scalable Parallel Mixed-integer programming solver with Artificial intelligence using PSO, and i will write an article that explain much more artificial intelligence and what is smartness and what is consciousness and self-awareness.. And in only one day i have just learned "much" more artificial intelligence, i have read the following article about Particle Swarm Optimization and i have understood it: Artificial Intelligence - Particle Swarm Optimization https://docs.microsoft.com/en-us/archive/msdn-magazine/2011/august/artificial-intelligence-particle-swarm-optimization But i have just noticed that the above implementation doesn't guarantee the optimal convergence. So here is how to guarantee the optimal convergence in PSO: Clerc and Kennedy in (Trelea 2003) propose a constriction coefficient parameter selection guidelines in order to guarantee the optimal convergence, here is how to do it with PSO: v(t+1) = k*[(v(t) + (c1 * r1 * (p(t) – x(t)) + (c2 * r2 * (g(t) – x(t))] x(t+1) = x(t) + v(t+1) constriction coefficient parameter is: k = 2/abs(2-phi-sqrt(phi^2-(4*phi))) k:=2/abs((2-4.1)-(0.640)) = 0.729 phi = c1 + c2 To guarantee the optimal convergence use: c1 = c2 = 2.05 phi = 4.1 => k equal to 0.729 w=0.7298 Population size = 60; Also i have noticed that GA(genetic algorithm) doesn't guarantee the optimal convergence, and SA(Simulated annealing) and Hill Climbing are much less powerful since they perform only exploitation. In general, any metaheuristic should perform two main searching capabilities (Exploration and Exploitation). Population based algorithms ( or many solutions ) such as GA, PSO, ACO, or ABC, performs both Exploration and Exploitation, while Single-Based Algorithm such as SA(Simulated annealing), Hill Climbing, performs the exploitation only. In this case, more exploitation and less exploration increases the chances for trapping in local optima. Because the algorithm does not have the ability to search in another position far from the current best solution ( which is Exploration). Simulated annealing starts in one valley and typically ends in the lowest point of the same valley. Whereas swarms start in many different places of the mountain range and are searching for the lowest point in many valleys simultaneously. And in my next Open source software project i will implement a powerful much more scalable Parallel Linear programming solver and a powerful much more scalable Parallel Mixed-integer programming solver with Artificial intelligence using PSO. Thank you, Amine Moulay Ramdane. |
| Amine Moulay Ramdane <aminer68@gmail.com>: Mar 27 05:30PM -0700 Hello, Here is my new software inventions.. I am a white arab and i think i am smart since i have also invented many scalable algorithms and algorithms.. And my today software invention is the following: You have to know that a Turing-complete system can be proven mathematically to be capable of performing any possible calculation or computer program, and bash shell for Linux and Windows are Turing-complete, and even if bash shell is not python, it is a minimalist language that is especially designed for administrators of operating systems, but i have noticed that bash shell is not suited for for parallel programming, this is why i am enhancing it with my scalable algorithms so that to support sophisticated parallel programming on both Linux and Windows that permits it to scale much better on RAIDs and on multicores. So i am also writing a book about my enhancement to bash shell with my scalable algorithms so that to help others be efficient in bash shell programming and efficient in operating system administration, and of course i will sell my book, so i don't think you need python since python doesn't come with my scalable algorithms that will enhance bash for Linux and Windows, and i think operating systems administrators don't need python since it is not suited for operating system administrators since it is not a minimalist language as bash for Linux and Windows. You can read more about bash shell from here: https://www.infoworld.com/article/2893519/perl-python-ruby-are-nice-bash-is-where-its-at.html Also my next software invention is the following: More philosophy about what is artificial intelligence and more.. I am a white arab, and i think i am smart since i have also invented many scalable algorithms and algorithms, and when you are smart you will easily understand artificial intelligence, this is why i am finding artificial intelligence easy to learn, i think to be able to understand artificial intelligence you have to understand reasoning with energy minimization, like with PSO(Particle Swarm Optimization), but you have to be smart since the Population based algorithm has to guarantee the optimal convergence, and this is why i am learning you how to do it(read below), i think that GA(genetic algorithm) is good for teaching it, but GA(genetic algorithm) doesn't guarantee the optimal convergence, and after learning how to do reasoning with energy minimization in artificial intelligence, you have to understand what is transfer learning in artificial intelligence with PathNet or such, this transfer learning permits to train faster and require less labeled data, also PathNET is much more powerful since also it is higher level abstraction in artificial intelligence.. Read about it here: https://mattturck.com/frontierai/ And read about PathNet here: https://medium.com/@thoszymkowiak/deepmind-just-published-a-mind-blowing-paper-pathnet-f72b1ed38d46 More about artificial intelligence.. I think one of the most important part in artificial intelligence is reasoning with energy minimization, it is the one that i am working on right now, see the following video to understand more about it: Yann LeCun: Can Neural Networks Reason? https://www.youtube.com/watch?v=YAfwNEY826I&t=250s I think that since i have just understood much more artificial intelligence, i will soon show you my next Open source software project that implement a powerful much more scalable Parallel Linear programming solver and a powerful much more scalable Parallel Mixed-integer programming solver with Artificial intelligence using PSO, and i will write an article that explain much more artificial intelligence and what is smartness and what is consciousness and self-awareness.. And in only one day i have just learned "much" more artificial intelligence, i have read the following article about Particle Swarm Optimization and i have understood it: Artificial Intelligence - Particle Swarm Optimization https://docs.microsoft.com/en-us/archive/msdn-magazine/2011/august/artificial-intelligence-particle-swarm-optimization But i have just noticed that the above implementation doesn't guarantee the optimal convergence. So here is how to guarantee the optimal convergence in PSO: Clerc and Kennedy in (Trelea 2003) propose a constriction coefficient parameter selection guidelines in order to guarantee the optimal convergence, here is how to do it with PSO: v(t+1) = k*[(v(t) + (c1 * r1 * (p(t) – x(t)) + (c2 * r2 * (g(t) – x(t))] x(t+1) = x(t) + v(t+1) constriction coefficient parameter is: k = 2/abs(2-phi-sqrt(phi^2-(4*phi))) k:=2/abs((2-4.1)-(0.640)) = 0.729 phi = c1 + c2 To guarantee the optimal convergence use: c1 = c2 = 2.05 phi = 4.1 => k equal to 0.729 w=0.7298 Population size = 60; Also i have noticed that GA(genetic algorithm) doesn't guarantee the optimal convergence, and SA(Simulated annealing) and Hill Climbing are much less powerful since they perform only exploitation. In general, any metaheuristic should perform two main searching capabilities (Exploration and Exploitation). Population based algorithms ( or many solutions ) such as GA, PSO, ACO, or ABC, performs both Exploration and Exploitation, while Single-Based Algorithm such as SA(Simulated annealing), Hill Climbing, performs the exploitation only. In this case, more exploitation and less exploration increases the chances for trapping in local optima. Because the algorithm does not have the ability to search in another position far from the current best solution ( which is Exploration). Simulated annealing starts in one valley and typically ends in the lowest point of the same valley. Whereas swarms start in many different places of the mountain range and are searching for the lowest point in many valleys simultaneously. And in my next Open source software project i will implement a powerful much more scalable Parallel Linear programming solver and a powerful much more scalable Parallel Mixed-integer programming solver with Artificial intelligence using PSO. Thank you, Amine Moulay Ramdane. |
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