Sunday, August 16, 2020

Digest for comp.programming.threads@googlegroups.com - 9 updates in 9 topics

aminer68@gmail.com: Aug 15 06:29PM -0700

Hello,
 
 
Yet more precision about more philosophy about what means: "I think i am smart like a genius"..
 
I have to ask a smart question:
 
Why am i below taking the "Exceptionally" gifted in smartness as human smartness of a genius?
 
Is it the right measure ?
 
I think it is the right measure because it is measured relatively to what we call average human smartness, and since we have to avoid the extremist view that i think is not correct thinking, so we have to
be pragmatism since the "Exceptionally" gifted in smartness is viewed as smartness of a genius by the average human smartness, thus i think it is the right measure so that to not be extremism. So reread my thoughts to understand:
 
I have just read the following about:
 
What Is a Genius IQ Score?
 
https://www.verywellmind.com/what-is-a-genius-iq-score-2795585
 
 
So i think i have just made a little mistake, because the very near human smartness of a human smartness of a genius starts at 145 IQ, because we call it "Highly" gifted in smartness, so if we take the "Exceptionally" gifted in smartness as smartness of a genius, we call the Highly gifted in smartness: "very near" smartness to the smartness of a genius. So i correct my little mistake below, so read my thoughts again:
 
I just said the following:
 
--
 
Notice in my previous writing that i am saying about me the following:
 
"I think i am smart like a genius"
 
So notice that in the dictionary the "Like" means "Similar"
and "Similar" means: looking or being almost, but not exactly, the same.
 
So hope you are understanding it correctly.
 
--
 
 
But notice that the "almost" means in the dictionary: "very near"
 
 
But you have to be smart because you have to know how to measure it,
so how do you think you can measure it? is it in relative or in absolute ? i think that it is relative to the other levels of human smartness,
so we can for example say that an IQ of 145 is also very near to
smartness of a genius when you measure it relatively to the other levels of human smartness, because notice that we are not saying "strictly" that it is the most nearer smartness to a smartness of a genius, so you are noticing that the "almost" can be, as in our example above, an interval.
 
 
Thank you,
Amine Moulay Ramdane.
aminer68@gmail.com: Aug 15 05:33PM -0700

Hello,
 
 
More precision about more philosophy about what means: "I think i am smart like a genius"..
 
I have just read the following about:
 
What Is a Genius IQ Score?
 
https://www.verywellmind.com/what-is-a-genius-iq-score-2795585
 
 
So i think i have made a little mistake, because the very near human smartness of a human smartness of a genius starts at 145 IQ, because we call it "Highly" gifted, so if we take the "Exceptionally" gifted as smartness of a genius, we call the Highly gifted: "very near" smartness to the smartness of a genius. So i correct my little mistake below, so read my thoughts again:
 
I just said the following:
 
--
 
Notice in my previous writing that i am saying about me the following:
 
"I think i am smart like a genius"
 
So notice that in the dictionary the "Like" means "Similar"
and "Similar" means: looking or being almost, but not exactly, the same.
 
So hope you are understanding it correctly.
 
--
 
 
But notice that the "almost" means in the dictionary: "very near"
 
 
But you have to be smart because you have to know how to measure it,
so how do you think you can measure it? is it in relative or in absolute ? i think that it is relative to the other levels of human smartness,
so we can for example say that an IQ of 145 is also very near to
smartness of a genius when you measure it relatively to the other levels of human smartness, because notice that we are not saying "strictly" that it is the most nearer smartness to a smartness of a genius, so you are noticing that the "almost" can be, as in our example above, an interval.
 
 
Thank you,
Amine Moulay Ramdane.
aminer68@gmail.com: Aug 15 04:40PM -0700

Hello,
 
 
More philosophy about what means: "I think i am smart like a genius"..
 
 
I just said the following:
 
--
 
Notice in my previous writing that i am saying about me the following:
 
"I think i am smart like a genius"
 
So notice that in the dictionary the "Like" means "Similar"
and "Similar" means: looking or being almost, but not exactly, the same.
 
So hope you are understanding it correctly.
 
--
 
 
But notice that the "almost" means in the dictionary: "very near"
 
 
But you have to be smart because you have to know how to measure it,
so how do you think you can measure it? is it in relative or in absolute ? i think that it is relative to the other levels of human smartness,
so we can for example say that an IQ of 140 is also very near to
smartness of genius when you measure it relatively to the other levels of human smartness, because notice that we are not saying "strictly" that it is the most nearer smartness to a smartness of genius, so you are noticing that the "almost" can be, as in our example above, an interval.
 
 
Thank you,
Amine Moulay Ramdane.
aminer68@gmail.com: Aug 15 04:15PM -0700

Hello,
 
 
What means: "I think i am smart like a genius"..
 
Notice in my previous writing that i am saying about me the following:
 
"I think i am smart like a genius"
 
So notice that in the dictionary the "Like" means "Similar"
and "Similar" means: looking or being almost, but not exactly, the same.
 
 
So hope you are understanding it correctly.
 
 
 
Thank you,
Amine Moulay Ramdane.
aminer68@gmail.com: Aug 15 03:45PM -0700

Hello,
 
 
China passes US as world's top researcher, showing its R&D might
 
Read more here:
 
https://asia.nikkei.com/Business/Science/China-passes-US-as-world-s-top-researcher-showing-its-R-D-might
 
 
I think that R&D is so important, since you can easily notice it by
reading my following thoughts:
 
About USA and the brain's power..
 
I have just looked at the following video, look at it carefully:
 
India Is Becoming Its Own Silicon Valley
 
https://www.youtube.com/watch?v=YHVNWtBuDVk
 
Look in the above video at how the smartest people of high-tech
in India are talking about USA, since they are saying that they
don't want to come to USA because of Donald Trump(and this is
related to my writing below), and i think what they are saying is that Donald Trump and his followers are racism towards other groups that are not of there white European group, so i think USA has made a big mistake by electing Donald Trump, and i think that Germany and other European
countries have not to make the same mistake as USA, because read my
my following writing to understand why:
 
More political philosophy about immigration..
 
I am a white arab, and i think i am smart, since i am an inventor
of many scalable algorithms and there implementations, and today
i will speak about an important subject that is immigration..
 
Let's look for example at USA, so read the following from Jonathan Wai that is a Ph.D., it says:
 
"Heiner Rindermann and James Thompson uncovered that the "smart fraction" of a country is quite influential in impacting the performance of that country, for example, its GDP."
 
And it also says the following:
 
""According to recent population estimates, there are about eight Chinese and Indians for every American in the top 1 percent in brains." But consider that the U.S. benefits from the smart fractions of every other country in the world because it continues to serve as a magnet for brainpower, something that is not even factored into these rankings.
 
What these rankings clearly show is America is likely still in the lead in terms of brainpower. And this is despite the fact federal funding for educating our smart fraction is currently zero. Everyone seems worried Americans are falling behind, but this is because everyone is focusing on average and below average people. Maybe it's time we started taking a closer look at the smartest people of our own country."
 
Read more here:
 
https://www.psychologytoday.com/us/blog/finding-the-next-einstein/201312/whats-the-smartest-country-in-the-world
 
So as you are noticing it's immigrants(and there are about eight Chinese and Indians for every American in the top 1 percent in brains) that are making USA a rich country.
 
 
And read also the following to understand more:
 
Why Silicon Valley Wouldn't Work Without Immigrants
 
There are many theories for why immigrants find so much success in tech. Many American-born tech workers point out that there is no shortage of American-born employees to fill the roles at many tech companies. Researchers have found that more than enough students graduate from American colleges to fill available tech jobs. Critics of the industry's friendliness toward immigrants say it comes down to money — that technology companies take advantage of visa programs, like the H-1B system, to get foreign workers at lower prices than they would pay American-born ones.
 
But if that criticism rings true in some parts of the tech industry, it misses the picture among Silicon Valley's top companies. One common misperception of Silicon Valley is that it operates like a factory; in that view, tech companies can hire just about anyone from anywhere in the world to fill a particular role.
 
But today's most ambitious tech companies are not like factories. They're more like athletic teams. They're looking for the LeBrons and Bradys — the best people in the world to come up with some brand-new, never-before-seen widget, to completely reimagine what widgets should do in the first place.
 
"It's not about adding tens or hundreds of thousands of people into manufacturing plants," said Aaron Levie, the co-founder and chief executive of the cloud-storage company Box. "It's about the couple ideas that are going to be invented that are going to change everything."
 
Why do tech honchos believe that immigrants are better at coming up with those inventions? It's partly a numbers thing. As the tech venture capitalist Paul Graham has pointed out, the United States has only 5 percent of the world's population; it stands to reason that most of the world's best new ideas will be thought up by people who weren't born here.
 
If you look at some of the most consequential ideas in tech, you find an unusual number that were developed by immigrants. For instance, Google's entire advertising business — that is, the basis for the vast majority of its revenues and profits, the engine that allows it to hire thousands of people in the United States — was created by three immigrants: Salar Kamangar and Omid Kordestani, who came to the United States from Iran, and Eric Veach, from Canada.
 
But it's not just a numbers thing. Another reason immigrants do so well in tech is that people from outside bring new perspectives that lead to new ideas.
 
Read more here:
 
https://www.nytimes.com/2017/02/08/technology/personaltech/why-silicon-valley-wouldnt-work-without-immigrants.html
 
 
 
Thank you,
Amine Moulay Ramdane.
aminer68@gmail.com: Aug 15 02:53PM -0700

Hello,
 
 
What is being smart like a genius ?
 
I am a white arab, and i think i am smart like a genius, since
i have invented many scalable algorithms and i am still inventing
other scalable algorithms, not only that but i am explaining
to you what is smartness and what is consciousness and what is
self-awareness, since i am smart like a genius and i am understanding
them with my smartness, so i will soon write an article that explains
them, also i am able to understand easily artificial intelligence
since i am smart like genius, and you will soon notice it more
when i will show you my next Open source software projects that
implement a powerful Parallel Linear programming solver and a powerful Parallel Mixed-integer programming solver with Artificial intelligence using PSO.
 
Read my previous thoughts:
 
More smartness about what is artificial intelligence..
 
I am a white arab, and i think i am smart since i have invented many
scalable 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
 
 
Read my previous thoughts:
 
 
More about artificial intelligence..
 
You have to understand me, i am going really fast in understanding artificial intelligence, since i think i am a white arab that is smart since i have invented many scalable algorithms, but 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 Parallel Linear programming solver and a powerful 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..
 
Read my previous thoughts to understand:
 
I am a white arab, and i think i am smart since i have invented many scalable algorithms..
 
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
Parallel Linear programming solver and a powerful Parallel Mixed-integer programming solver with Artificial intelligence using PSO.
 
 
Thank you,
Amine Moulay Ramdane.
aminer68@gmail.com: Aug 15 01:49PM -0700

Hello,
 
 
About the Sanitizers..
 
I am a white arab, and i think i am smart since i have invented many scalable algorithms, and today i will talk about Sanitizers..
 
So read the following web page about the Sanitizers:
 
https://github.com/google/sanitizers
 
And notice carefully the ThreadSanitizer, so read carefully
the following paper about ThreadSanitizer:
 
https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/35604.pdf
 
 
And it says in the conclusion the following:
 
"ThreadSanitizer uses a new algorithm; it has several modes of operation, ranging from the most conservative mode (which has few false positives but also misses real races) to a very aggressive one (which
has more false positives but detects the largest number of
real races)."
 
So as you are noticing since the very agressive mode doesn't detect
all the data races, so then it is not "scalable", so it is not good,
since you can still take a lot of time to verify a big project so that to find the remaining data races that are not detected by ThreadSanitizer.
 
So what i advice is to use the incremental testing by using
the methodologies that i talk about in my following thoughts:
 
https://community.idera.com/developer-tools/general-development/f/getit-and-third-party/71464/about-turing-completeness-and-parallel-programming
 
For the rest of the Sanitizers above, here is my thoughts on how you can do it in Delphi and Freepascal:
 
https://community.idera.com/developer-tools/general-development/f/getit-and-third-party/70231/fearless-security-memory-safety
 
Also don't forget about the following:
 
Null safety library for Delphi and FreePascal is here..
 
I have just read the following news:
 
Google Dart gains sound null safety
 
https://www.infoworld.com/article/3562572/google-dart-gains-sound-null-safety.html
 
And as you have noticed , i have also provided you with the
following MyNullable library for Delphi and FreePascal that
brings null safety.
 
Java lacks null safety. When a function receives an object,
this object might be null. That is, if you see 'String s' in your
code, you often have no way of knowing whether 's' contains an
actually String unless you check at runtime. Can you guess whether programmers always check? They do not, of course, In practice, mission-critical software does crash without warning due to null values. We have two decades of examples. In Swift or Kotlin, you have safe calls or optionals as part of the language.
 
Here is MyNullable library for Delphi and FreePascal that brings null safety, you can download it from my website here:
 
https://sites.google.com/site/scalable68/null-safety-library-for-delphi-and-freepascal
 
 
Thank you,
Amine Moulay Ramdane.
aminer68@gmail.com: Aug 15 12:59PM -0700

Hello,
 
 
More of my thoughts on parallel computing and computing..
 
I am a white arab and i am an inventor of many scalable algorithms and there implementations and i am a more serious software developer specialized in parallel computing and synchronization algorithms, so I invite you to read my following thoughts in the following web links about parallel computing and computing:
 
https://community.idera.com/developer-tools/general-development/f/getit-and-third-party/71464/about-turing-completeness-and-parallel-programming
 
https://community.idera.com/developer-tools/general-development/f/getit-and-third-party/71555/here-is-more-of-my-thoughts-on-programming-languages
 
https://community.idera.com/developer-tools/general-development/f/getit-and-third-party/72018/about-the-threadpool
 
https://community.idera.com/developer-tools/general-development/f/getit-and-third-party/70188/today-i-will-talk-about-data-dependency-and-parallel-loops
 
 
And here is "some" of my inventions that i have put in my website:
 
Scalable reference counting with efficient support for weak references
 
https://sites.google.com/site/scalable68/scalable-reference-counting-with-efficient-support-for-weak-references
 
Scalable RWLock that works across processes and threads version 4.63
 
https://sites.google.com/site/scalable68/scalable-rwlock-that-works-accross-processes-and-threads
 
Scalable MLock
 
https://sites.google.com/site/scalable68/scalable-mlock
 
SemaMonitor and SemaCondvar
 
https://community.idera.com/developer-tools/general-development/f/getit-and-third-party/72713/about-my-inventions-that-are-my-semamonitor-and-semacondvar-and-my-monitor
 
 
You can find more in my website here:
 
https://sites.google.com/site/scalable68/
 
 
Thank you,
Amine Moulay Ramdane.
aminer68@gmail.com: Aug 15 12:30PM -0700

Hello,
 
 
PDQ for Delphi and Freepascal is here..
 
This is a port by Amine Moulay Ramdane of PDQ version 6.2.0 to Delphi on Windows and to Freepascal on both Windows and Linux, i have also provided you with two demos, one queuing MM1 demo, and another Jackson network demo. Also i have provided you with my html tutorial on how to solve analytically the Jackson network problem provided to you as a PDQ demo.
 
PDQ is an analytic queueing-circuit analyzer made freely available under MIT/X11 license from www.perfdynamics.com
 
Read more about PDQ here:
 
http://www.perfdynamics.com/Tools/PDQ.html
 
You can download it from my website:
 
https://sites.google.com/site/scalable68/pdq-for-delphi-and-freepascal
 
 
Thank you,
Amine Moulay Ramdane.
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