novaBBS - soc.culture.china - More philosophy about quantum mechanics and Quantum computers and about artificial intelligence..

Hello,

More philosophy about quantum mechanics and 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..

I invite you to look at the following interesting video so
that to understand more what is happening in quantum mechanics:

Does Consciousness Create Reality? Double Slit Experiment may show the
Answer

https://www.youtube.com/watch?v=h75DGO3GrF4

And it is related to my following thoughts and writing:

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:

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

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 my philosophy about the Exploration/Exploitation trade off in
AI(artificial intelligence)..

You can read more about my education and my way of doing here:

Here is more proof of the fact that i have invented many scalable
algorithms and algorithms:

https://groups.google.com/g/comp.programming.threads/c/V9Go8fbF10k

And you can take a look at my photo that i have just put
here in my website(I am 53 years old):

https://sites.google.com/site/scalable68/jackson-network-problem

In Reinforcement Learning in AI(artificial intelligence), for each
action (i.e. lever) on the machine, there is an expected reward. If this
expected reward is known to the Agent, then the problem degenerates into
a trivial one, which merely involves picking the action with the highest
expected reward. But since the expected rewards for the levers are not
known, we have to collate estimates to get an idea of the desirability
of each action. For this, the Agent will have to explore to get the
average of the rewards for each action. After, it can then exploit its
knowledge and choose an action with the highest expected rewards (this
is also called selecting a greedy action). As we can see, the Agent has
to balance exploring and exploiting actions to maximize the overall
long-term reward. So as you are noticing i am posting below my
just new proverb that talks about the Exploration/Exploitation trade off
in AI(artificial intelligence), and you also have to know how to build
correctly "trust" between you and the others so that to optimize
correctly, and this is why you are seeing me posting my thoughts like i
am posting.

You have to know about the Exploration/Exploitation trade off in
Reinforcement Learning and PSO(Particle Swarm Optimization) in AI by
knowing the following and by reading my below thoughts about artificial
intelligence:

Exploration is finding more information about the environment.

Exploitation is exploiting known information to maximize the reward.

This is why i have just invented fast the following proverb that also
talks about this Exploration/Exploitation trade off in AI (artificial
intelligence):

And here is my just new proverb:

"Human vitality comes from intellectual openness and intellectual
openness also comes from divergent thinking and you have to well balance
divergent thinking with convergent thinking so that to converge towards
the global optimum of efficiency and not get stuck on a local optimum of
efficiency, and this kind of well balancing makes the good creativity."

And i will explain more my proverb so that you understand it:

I think that divergent thinking is thought process or method used to
generate creative ideas by exploring many possible solutions, but notice
that we even need openness in a form of economic actors that share ideas
across nations and industries (and this needs globalization) that make
us much more creative and that's good for economy, since you can easily
notice that globalization also brings a kind of optimality to divergent
thinking, and also you have to know how to balance divergent thinking
with convergent thinking, since if divergent thinking is much greater
than convergent thinking it can become costly in terms of time, and if
the convergent thinking is much greater than divergent thinking you can
get stuck on local optimum of efficiency and not converge to a global
optimum of efficiency, and it is related to my following thoughts about
the philosopher and economist Adam Smith, so i invite you to read them:

https://groups.google.com/g/alt.culture.morocco/c/ftf3lx5Rzxo

More philosophy about what is artificial intelligence and more..

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.

Subject	Replies	Author
More philosophy about quantum mechanics and Quantum computers and By: World-News2100 on Tue, 31 Aug 2021	0	World-News2100

If there is no wind, row. -- Polish proverb

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