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"Faith: not wanting to know what is true." -- Friedrich Nietzsche

tech / sci.math / Scientists say Blockchain Systems might qualify as living beings

Hello,

Scientists say Blockchain Systems might qualify as living beings

It is related to my following thoughts:

More philosophy about emergence..

Emergence is the formation of global patterns from solely local interactions.

I invite you to read more about the strong and weak emergence here:

https://en.wikipedia.org/wiki/Emergence

And it is related to AI, and read my following thoughts about AI:

More philosophy about artificial intelligence and more..

The Computer Scientist Training AI to Think with Analogies

Read more here:

Could Big Data be the end of theory in science?

https://www.embopress.org/doi/full/10.15252/embr.201541001

More philosophy about Quantum computers and about artificial intelligence..

I am a white arab and i think i am smart since i have also invented many scalable algorithms and algorithms..

Quantum computers are already detangling nature’s mysteries

Practical quantum computers may be decades away – but the race to build them is already tackling thorny global problems, and unlocking the secrets of the universe

Read more the following interesting article so that to understand:

https://www.wired.co.uk/article/quantum-computing?fbclid=IwAR1X67cCtM0KHkIAgU-kVZk-iSUFOuNh6gT0PNqwNOUKUCeiF9SPWAYKZnI

More philosophy about Quantum Computing and Big Data and artificial intelligence..

Quantum computers are particularly suitable for solving certain mathematical problems. For example, they can be used to find very large prime numbers. It would therefore be possible to apply this technology to the field of cryptography to create stronger cybersecurity systems.

Quantum computing could also allow researchers to model complex chemical reactions. At present, even the most powerful supercomputers cannot do this task. In July 2016, Google engineers managed to simulate a hydrogen molecule for the first time using a quantum device. Similarly, IBM then managed to model the behaviour of even more complex molecules. Researchers hope to be able to create new molecules for medicine through quantum simulations.

In the field of Big Data, quantum computing allows companies to collect and analyze huge amounts of data very quickly thanks to quantum algorithms. The detection, analysis, integration and diagnosis of separate data sets can be carried out much more easily. All the elements of a massive database can be analyzed simultaneously to discover patterns.

Quantum Computing Grows in Popularity with Rising Investments and Experiments

More of my philosophy about artificial intelligence and more..

Deep Mind Assert Reinforcement Learning Could Solve Artificial General Intelligence

I invite you to look at the following interesting video:

Future AI will REVOLUTIONIZE games

https://www.youtube.com/watch?v=nx8RPnrP9W0

So as you are noticing by looking at the above video that games
development will soon be democratized with AI, so look at the
above video carefully to notice it, so our Era has been characterized
by democratization of technology and democratization of information and democratization of finance.

AI spots critical Microsoft security bugs 97% of the time

AI enables actors to pronounce perfect lines in foreign languages

More of my philosophy about artificial intelligence and specialized hardwares and more..

I think that specialized hardwares for deep learning in artificial intelligence like GPUs and quantum computers are no more needed, since you can use only a much less powerful CPU with more memory and do it efficiently, since a PhD researcher called Nir Shavit that is a jewish from Israel has just invented a very interesting software called neural magic that does it efficiently, and i invite you to look at the following very interesting video of Nir Shavit to know more about it:

The Software GPU: Making Inference Scale in the Real World by Nir Shavit, PhD

https://www.youtube.com/watch?v=mGj2CJHXXKQ

And there is not only the jewish above called Nir Shavit that has invented a very interesting thing, but there is also the following muslim Iranian and Postdoctoral Associate that has also invented a very interesting thing too for artificial intelligence, and here it is:

Why is MIT's new "liquid" AI a breakthrough innovation?

And here is Ramin Hasani, Postdoctoral Associate (he is an Iranian):

https://www.csail.mit.edu/person/ramin-hasani

And here he is:

http://www.raminhasani.com/

He is the study’s lead author of the following new study:

New ‘Liquid’ AI Learns Continuously From Its Experience of the World

I invite you to read the following very interesting article:

Collective intelligence is the root of human progress

https://singularityhub.com/2017/10/16/collective-intelligence-is-at-the-root-of-human-progress/

Yet more precision about quantum computers and about artificial intelligence..

Look at the video of IBM about there quantum computer, i think that IBM has worked on an interface with hardware circuits that permits to translate from your favorite programming language to the quantum computer language, so there is no need to learn a quantum programming language, so it will become much more easy to program a quantum computer, so look at the video here to notice it:

https://www.ibm.com/quantum-computing/?p1=Search&p4=43700050386405608&p5=b&gclid=Cj0KCQjwp86EBhD7ARIsAFkgakiGC294e584qtmsskplAXivote6smMgZ5hzM2a9Cd8u4bX8qg6ZFSEaAu-uEALw_wcB&gclsrc=aw.ds

And read my following previous thoughts:

I invite you to read the following interesting article about quantum computers:

https://www.mjc2.com/quantum-computing-logistics-manufacturing-optimization..htm

So as you are noticing that a quantum computer permits to do Quantum Parallelism that is special, since a register of a quantum computer is
not the same as a register of classical computer, the register of a quantum computer can be any combination of numbers, all at the same time using quantum effects of a Quantum Computer. If a register can represent any number from 0-1000, then in a quantum computer the register could be set up so that it is a mixture of all numbers from 0-1000 at the same time, and so quantum computer can also do Quantum Parallelism that is so powerful on for example logistics and on artificial intelligence, but you have for example to rewrite the energy "minimization" in deep learning of artificial intelligence into a quantum computing way that can be done really really fast by Quantum Parallelism , but notice that
a quantum computer can not replace a classical computer, a quantum
computer can only be used for some kinds of problems. And i invite
you to read below my way of doing energy minimization in artificial intelligence with PSO(Particle Swarm Optimization), so
read below since i am explaining more in my thoughts below what is
artificial intelligence, so read them below:

Click here to read the complete article

fredag 13 augusti 2021 kl. 21:56:42 UTC+2 skrev Amine Moulay Ramdane:
> Hello,
>
>
> Scientists say Blockchain Systems might qualify as living beings
>
> Read more here:
>
> https://interestingengineering.com/blockchain-systems-ai-living-beings
>
> It is related to my following thoughts:
>
> More philosophy about emergence..
>
> Emergence is the formation of global patterns from solely local interactions.
>
> I invite you to read more about the strong and weak emergence here:
>
> https://en.wikipedia.org/wiki/Emergence
>
> And it is related to AI, and read my following thoughts about AI:
>
> More philosophy about artificial intelligence and more..
>
> The Computer Scientist Training AI to Think with Analogies
>
> Read more here on scientific American:
>
> https://www.scientificamerican.com/article/the-computer-scientist-training-ai-to-think-with-analogies/
>
> More philosophy about Deductive reasoning and inductive reasoning and Big Data..
>
> "Deductive reasoning, is eventually limited because setting a premise in advance of an experiment would constrain the reasoning so as to match that premise. Instead, he advocated a bottom-up approach: In contrast to deductive reasoning, which has dominated science since Aristotle, inductive reasoning should be based on facts to generalize their meaning, drawing inferences from observations and data."
>
> "Big Data science renews the primacy of inductive reasoning in the form of technology-based empiricism and has inspired a view of the future in which automated data mining will lead directly to new discoveries. According to this view, the new “hypothesis-neutral” way of creating knowledge will replace traditional hypothesis-driven research. Analyzing vast volumes of data will yield novel and often surprising correlations, patterns and rules."
>
> "Big Data will put a strong emphasis on correlations, that is, relations “between phenomena or things or between mathematical or statistical variables which tend to vary, be associated, or occur together in a way not expected on the basis of chance alone” (http://www.merriam-webster.com/dictionary/correlations). Of course, correlations are already used in science as heuristic tools and often function as the starting point for further investigation. However, this claim assumes the primacy of correlations over causal explanation or, even more radically, the replacement of the latter with the former. To put it in Anderson's words: “Petabytes allow us to say: “correlation is enough”. We can stop looking for models. We can analyze the data without hypotheses about what it might show. We can throw the numbers into the biggest computing clusters the world has ever seen and let statistical algorithms find patterns where science cannot […] Correlation supersedes causation, and science can advance even without coherent models, unified theories, or really any mechanistic explanation at all”"
>
> Read more here:
>
> Could Big Data be the end of theory in science?
>
> https://www.embopress.org/doi/full/10.15252/embr.201541001
>
> More philosophy about Quantum computers and about artificial intelligence...
>
> I am a white arab and i think i am smart since i have also invented many scalable algorithms and algorithms..
>
> Quantum computers are already detangling nature’s mysteries
>
> Practical quantum computers may be decades away – but the race to build them is already tackling thorny global problems, and unlocking the secrets of the universe
>
> Read more the following interesting article so that to understand:
>
> https://www.wired.co.uk/article/quantum-computing?fbclid=IwAR1X67cCtM0KHkIAgU-kVZk-iSUFOuNh6gT0PNqwNOUKUCeiF9SPWAYKZnI
>
> More philosophy about Quantum Computing and Big Data and artificial intelligence..
>
> Quantum computers are particularly suitable for solving certain mathematical problems. For example, they can be used to find very large prime numbers. It would therefore be possible to apply this technology to the field of cryptography to create stronger cybersecurity systems.
>
> Quantum computing could also allow researchers to model complex chemical reactions. At present, even the most powerful supercomputers cannot do this task. In July 2016, Google engineers managed to simulate a hydrogen molecule for the first time using a quantum device. Similarly, IBM then managed to model the behaviour of even more complex molecules. Researchers hope to be able to create new molecules for medicine through quantum simulations.
>
> In the field of Big Data, quantum computing allows companies to collect and analyze huge amounts of data very quickly thanks to quantum algorithms. The detection, analysis, integration and diagnosis of separate data sets can be carried out much more easily. All the elements of a massive database can be analyzed simultaneously to discover patterns.
>
> Read more here:
>
> https://www.dsxhub.org/quantum-computing-and-big-data-a-revolution-in-data-analysis/
>
> Quantum Computing Grows in Popularity with Rising Investments and Experiments
>
> Read more here:
>
> https://translate.google.com/translate?hl=en&sl=auto&tl=en&u=https%3A%2F%2Fhardware.developpez.com%2Factu%2F315284%2FL-informatique-quantique-gagne-en-popularite-avec-des-investissements-et-des-experiences-en-hausse-malgre-la-complexite-de-la-technologie-et-les-limites-des-competences-selon-IDC%2F
>
> More of my philosophy about artificial intelligence and more..
>
> Deep Mind Assert Reinforcement Learning Could Solve Artificial General Intelligence
>
> Read more here:
>
> https://www.nextbigfuture.com/2021/06/deep-mind-assert-reinforcement-learning-could-solve-artificial-general-intelligence.html
>
> I invite you to look at the following interesting video:
>
> Future AI will REVOLUTIONIZE games
>
> https://www.youtube.com/watch?v=nx8RPnrP9W0
>
> So as you are noticing by looking at the above video that games
> development will soon be democratized with AI, so look at the
> above video carefully to notice it, so our Era has been characterized
> by democratization of technology and democratization of information and democratization of finance.
>
> AI spots critical Microsoft security bugs 97% of the time
>
> Read more here:
>
> https://venturebeat.com/2020/04/16/ai-spots-critical-microsoft-security-bugs-97-of-the-time/
>
> AI enables actors to pronounce perfect lines in foreign languages
>
> Read more here:
>
> https://translate.google.com/translate?hl=en&sl=auto&tl=en&u=https%3A%2F%2Fintelligence-artificielle.developpez.com%2Factu%2F315303%2FUne-IA-permet-aux-acteurs-de-prononcer-des-repliques-parfaites-dans-des-langues-etrangeres-cette-technologie-peut-traduire-le-cinema-et-la-television-sans-perdre-la-performance-originale-d-un-acteur%2F
>
> More of my philosophy about artificial intelligence and specialized hardwares and more..
>
> I think that specialized hardwares for deep learning in artificial intelligence like GPUs and quantum computers are no more needed, since you can use only a much less powerful CPU with more memory and do it efficiently, since a PhD researcher called Nir Shavit that is a jewish from Israel has just invented a very interesting software called neural magic that does it efficiently, and i invite you to look at the following very interesting video of Nir Shavit to know more about it:
>
> The Software GPU: Making Inference Scale in the Real World by Nir Shavit, PhD
>
> https://www.youtube.com/watch?v=mGj2CJHXXKQ
>
> And there is not only the jewish above called Nir Shavit that has invented a very interesting thing, but there is also the following muslim Iranian and Postdoctoral Associate that has also invented a very interesting thing too for artificial intelligence, and here it is:
>
> Why is MIT's new "liquid" AI a breakthrough innovation?
>
> Read more here:
>
> https://translate.google.com/translate?hl=en&sl=auto&tl=en&u=https%3A%2F%2Fintelligence-artificielle.developpez.com%2Factu%2F312174%2FPourquoi-la-nouvelle-IA-liquide-de-MIT-est-elle-une-innovation-revolutionnaire-Elle-apprend-continuellement-de-son-experience-du-monde%2F
>
> And here is Ramin Hasani, Postdoctoral Associate (he is an Iranian):
>
> https://www.csail.mit.edu/person/ramin-hasani
>
> And here he is:
>
> http://www.raminhasani.com/
>
> He is the study’s lead author of the following new study:
>
> New ‘Liquid’ AI Learns Continuously From Its Experience of the World
>
> Read more here:
>
> https://singularityhub.com/2021/01/31/new-liquid-ai-learns-as-it-experiences-the-world-in-real-time/
>
> I invite you to read the following very interesting article:
>
> Collective intelligence is the root of human progress
>
> https://singularityhub.com/2017/10/16/collective-intelligence-is-at-the-root-of-human-progress/
>
> Yet more precision about quantum computers and about artificial intelligence..
>
> Look at the video of IBM about there quantum computer, i think that IBM has worked on an interface with hardware circuits that permits to translate from your favorite programming language to the quantum computer language, so there is no need to learn a quantum programming language, so it will become much more easy to program a quantum computer, so look at the video here to notice it:
>
> https://www.ibm.com/quantum-computing/?p1=Search&p4=43700050386405608&p5=b&gclid=Cj0KCQjwp86EBhD7ARIsAFkgakiGC294e584qtmsskplAXivote6smMgZ5hzM2a9Cd8u4bX8qg6ZFSEaAu-uEALw_wcB&gclsrc=aw.ds
>
> And read my following previous thoughts:
>
> I invite you to read the following interesting article about quantum computers:
>
> https://www.mjc2.com/quantum-computing-logistics-manufacturing-optimization.htm
>
> So as you are noticing that a quantum computer permits to do Quantum Parallelism that is special, since a register of a quantum computer is
> not the same as a register of classical computer, the register of a quantum computer can be any combination of numbers, all at the same time using quantum effects of a Quantum Computer. If a register can represent any number from 0-1000, then in a quantum computer the register could be set up so that it is a mixture of all numbers from 0-1000 at the same time, and so quantum computer can also do Quantum Parallelism that is so powerful on for example logistics and on artificial intelligence, but you have for example to rewrite the energy "minimization" in deep learning of artificial intelligence into a quantum computing way that can be done really really fast by Quantum Parallelism , but notice that
> a quantum computer can not replace a classical computer, a quantum
> computer can only be used for some kinds of problems. And i invite
> you to read below my way of doing energy minimization in artificial intelligence with PSO(Particle Swarm Optimization), so
> read below since i am explaining more in my thoughts below what is
> artificial intelligence, so read them below:
>
> So i invite you to learn more about quantum computers and quantum computing in the following website of IBM and DWAVE:
>
> https://www.dwavesys.com/tutorials/background-reading-series/quantum-computing-primer
>
> And:
>
> https://www.ibm.com/quantum-computing/?p1=Search&p4=43700050386405608&p5=b&gclid=Cj0KCQjwp86EBhD7ARIsAFkgakiGC294e584qtmsskplAXivote6smMgZ5hzM2a9Cd8u4bX8qg6ZFSEaAu-uEALw_wcB&gclsrc=aw.ds
>
> And I invite you to read the following interesting article:
>
> This is your brain on Quantum Computers
>
> https://singularityhub.com/2016/10/02/this-is-your-brain-on-quantum-computers/
>
> And read the following news:
>
> New Passive Quantum Error Correction Could Be The Breakthrough for Large Scale Quantum Computers
>
> Read more here:
>
> https://www.nextbigfuture.com/2021/02/new-passive-quantum-error-correction-could-be-the-breakthrough-for-large-scale-quantum-computers.html?fbclid=IwAR00BbqQIMw-b9FgeNrbaN-WMepzV1Y4QLOEtgs3x5WLP1nNt7rNNQJL8jU
>
> Look at the following video:
>
> China claims ‘quantum supremacy’ with new supercomputer | DW News
>
> https://www.youtube.com/watch?v=E5MBAJJU9Hk
>
> And read about the following interesting new discovery..
>
> Quantum computing breakthrough could accelerate adoption by years
>
> https://www.techradar.com/uk/news/quantum-computing-breakthrough-could-accelerate-adoption-by-years?fbclid=IwAR3e2Clzl4lynlpFZdXwQRN1PQeRDF-U48UsVBYH7YGKmoYMdQzftpl4les
>
> About Symmetric encryption and quantum computers..
>
> Symmetric encryption, or more specifically AES-256, is believed to be quantum resistant. That means that quantum computers are not expected to be able to reduce the attack time enough to be effective if the key sizes are large enough.
>
> Read more here:
>
> Is AES-256 Quantum Resistant?
>
> https://medium.com/@wagslane/is-aes-256-quantum-resistant-d3f776163672
>
> This is why i am using Parallel AES encryption with 256 bit keys in my powerful Parallel Archiver, you can read about it and download it from here:
>
> https://sites.google.com/site/scalable68/parallel-archiver
>
> 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 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..
>
> 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.
A blockchain is as alive as any database.

Click here to read the complete article

Subject	Author
Scientists say Blockchain Systems might qualify as living beings	Amine Moulay Ramdane
Re: Scientists say Blockchain Systems might qualify as living beings	markus...@gmail.com

"Faith: not *wanting* to know what is true." -- Friedrich Nietzsche

tech / sci.math / Scientists say Blockchain Systems might qualify as living beings

"Faith: not wanting to know what is true." -- Friedrich Nietzsche