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"It takes all sorts of in & out-door schooling to get adapted to my kind of fooling" -- R. Frost

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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.

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

Subject	Author
More philosophy about artificial intelligence and more..	Amine Moulay Ramdane

"It takes all sorts of in & out-door schooling to get adapted to my kind of fooling" -- R. Frost

tech / sci.math / More philosophy about artificial intelligence and more..