Researchers in Germany have developed an artificial intelligence capable of postulating physical theories by identifying patterns in complex data sets and after being fed all known physics
The development of a new theory is usually associated with the greats of physics. You might think of Isaac Newton or Albert Einstein, for example. Many Nobel prizes have already been awarded to new theories. Researchers at Forschungszentrum Jülich in Germany have now trained artificial intelligence capable of recognizing patterns in complex data sets and formulating them in physical theory.
The artificial intelligence, AI-Physicist developed at the Forschungzentrum Yulich University in Germany, uses deep learning and reinforcement learning to process and analyze data from various fields of physics, including particle physics, solid state physics, and astrophysics. She is particularly skilled at identifying patterns, regularities and relationships not yet discovered by previous research and proposing new theoretical models that can explain the observations.
AI-Physicist was trained on a variety of data from different fields of physics. The goal was to create a system capable of processing and understanding a wide variety of physical results and processes. Therefore, the data on which the belief system is inclusive
- Data from the world of elementary particles – including experiments and results from particle accelerators like CERN, where data on collisions between particles may reveal new concepts and potential theories.
- Astrophysical data – which include data from telescopes and other instruments that study the distribution of stars, black holes, and the properties of galaxies. These data provide important information about the universe as a whole.
- Data from the field of solid state physics – This includes data on material properties, such as conductivity, magnetism, and thermal conductivity. Investigating interactions between atoms and molecules in different materials provides a lot of knowledge about the fundamentals of the material.
- General physical data - A huge collection of theoretical and experimental data from a variety of fields and experiments in physics, which provides a broad basis for training and studies.
Before training, the research team edited this data into a uniform format, which forced a lot of data processing. The data processing and cleaning step is essential to the success of the training, as it ensures that the system learns from accurate and related data. Mathematical models and statistical algorithms entered in the learning process allow the artificial intelligence to absorb, process and understand the information efficiently and accurately.
After the training, AI-Physicist can apply the knowledge she acquired in recognizing patterns and building new models. She uses this data to test theories, make predictions, and provide innovative proposals to accelerate and enrich physics research.
Based on the many analyzes it performs, artificial intelligence is able to synthesize theories that combine ideas from a variety of fields in physics, while offering new and original answers to mysteries that have not yet been solved. It also includes a tool for testing the new theories through computer simulations, which allows researchers to assess the increase in reliability and accuracy of the theories before conducting physical experiments.
The AI's ability to investigate and hypothesize independently is reflected in an advanced self-analysis system, where the system learns from every experience and analysis it performs. Using deep neural networks allows it to progress and become more accurate with each task it solves. According to the researchers, the process in which an AI-Physicist learns and develops is similar to the way a scientist receives information, analyzes it, and derives new theories from it - only here, the speed of processing and the amount of data that can be processed are phenomenal.
What are the implications of this development?
The consequences of the development of this artificial intelligence are many and varied. First, it may speed up the pace of discoveries in the field of physics, as it allows researchers to investigate new theories in a more efficient and targeted manner. Second, it offers a new and revolutionary way of understanding the physical world, which may lead to new developments in technology, medicine and a variety of other industries.
Dr. Elizabeth Schwartz, one of the leaders of the project, explains: "Our goal was to create something that not only reads data and performs calculations, but can also think and understand like a real physicist. AI-Physicist changes the game by proposing new models that have not yet been considered.”
"The process of teaching the AI to think like a physicist is not simple," says Dr. Schwartz, "but the results speak for themselves. We are already seeing new hypotheses created by the system that we could not have thought of on our own."
Prof. Marcus Heinrich, another member of the research team, emphasized: "What is special about AI-Physicist is the ability to identify regularities and patterns that are difficult for people to see. It breaks new ground for scientific challenges that seem seemingly insoluble."
One of the first breakthroughs that the AI-Physicist achieved was the development of a new model for understanding the distribution of materials in space. "It is still too early for full verification," says Prof. Heinrich, "but the theory she proposed may offer new solutions to fundamental puzzles in cosmology."
"The potential of AI-Physicist to change the world of physical research is enormous, and the team at the Porchungzentrum will only lead at the beginning of this revolutionary path. The possibilities are endless," says Dr. Schwartz, "and we are only at the beginning of a new era in the study of physics."
More of the topic in Hayadan:
- Deciphering the black box of artificial intelligence - scientists reveal unexpected results
- A document of the Knesset Research Center: Creative Artificial Intelligence: Opportunities, Risks and Regulation Part I
- Sam Altman CEO of OPEN AI: We need to build a control mechanism for artificial intelligence like the Atomic Arms Control Council (video)
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It is worth noting that Asimov proposed a similar thing in one of his (now classic) short stories. According to him, the human mind is not capable of calculating things beyond the laws of physics...
Let's see if he was right
enough to confuse the brain.
Your scope experiment is not an accurate experiment, it is a careless experiment without any scientific value like the rest of your claims.
You obviously know this very well and therefore refuse to conduct the experiment with more rounds for reasons of drama.
Your other claims also lack any foundation and that's why you don't answer substantive questions.
So what's left? A stupid and frustrated old charlatan trying to prove to himself that he is smarter than everyone else.
Thank you for your comment, father, but in any case, the comments of are not interesting and do not receive an objective response.
The following response deserves to reach the Einstein Institute of Mathematics by curious readers.
The idea of a constant pie in all circles can be disproved with the help of an "isn't" argument
The guiding rule - it is impossible to prove "that something does not exist" and it is also possible to prove that "there is something"
Here are two "no" claims for example
1: There is "no" cube-shaped star in the world.
It is impossible to prove a claim of the "no" type, and you have to immediately accept it as a true claim, but it is a candidate for refutation. If a photograph of a cube-shaped star is obtained, then the said claim has been disproved.
2: "There are" in reality 3 numbers A B C that satisfy the equation Aaa+ Bbab = gggg
And now to the mathematicians who believe in a single pi number 3.14 that fits all circles,
The gold claim and the silver claim disprove the constant pie claim in all circles.
The golden theorem says: "there are" in reality no two circles (that differ in size) and have the same pi number.
The gold claim has a valid claim of the "no" type and we will call it .. the silver claim.
The money theorem says: "There are not" in reality two circles (different in size) whose ratio of diameters is (equal) to the ratio of its circumferences.
Mathematicians have no choice, and they must accept the gold claim, and the silver claim, because these are claims of the "no" type
But the mathematicians never accepted the claims of gold and silver,
which are valid claims, and they did not refute the claims either.
I proved the money claim with the help of the scope experiment, which is very accurate.
Two tangible circles participated in the experiment, which are two precise steel cylinders, one with a diameter of 2 mm, and the other with a diameter of 120 mm.
The ratio of the diameters is 60 and the experiment proved that the ratio of the circumferences is 59.958.
The difference is tiny, but it exists without a shadow of a doubt.
From this it follows that the number of pies with a diameter of 2 mm is slightly greater than the number of pies with a diameter of 120 mm.
Until this moment, mathematicians continue to teach two geometric lies.
All the sizes of the circles have a single pi number, and it is slightly larger than 3.14
The ratio of the diameters of two selected circles (always equal) to the ratio of their circumferences.
A. Asbar
Avinoam, tone down your comments a bit and read them before you post
The system has been entered with all the information we have and this is actually the problem. Most of our formulas are approximate and imprecise
The biggest weakness of artificial intelligence is its language.
Why didn't she invent a new computer language, and she uses human language.
Does artificial intelligence not know the secret of human language???
The secret of human language————– ————————————– 1
Original article by A. Asbar A. aetzbar
Words are made up of letter combinations.
Each letter has a unique geometric shape and a unique sound.
Therefore - the only role that a letter can play is that of a name.
Each combination of letters also has a unique geometric shape, and a unique sound.
so,
The only role that a combination of letters can play is that of a name.
The combination of letters A B C can play the role of a name.
The only question that can be asked about such a combination of letters is simple.
The combination of the letters A B C is the name of what?
This question cannot be answered with combinations of letters, because each combination is just a name.
The only possible answer is by waving a hand pointing to "something", and with the waving of the hand the following statement must be added
The combination of the letters A B C is the name of this something, which my hand points to.
The human language is a language of names, and every combination of letters in it is just a name.
The combination of the letters KSA is the name of "something" that my hand is pointing at.
A distinction must be made between knowing the "name of something" which is just a combination of letters,
and the "knowledge of something" that is achieved through experience and actual action.
To know more about "this something" that I pointed to, one must touch it, sit on it, pick it up, smell it, tap on it and hear a sound, and so on.
This practical experience provides a person with a natural knowledge of this something.
Human language requires the use of an act that leads to natural knowledge.
Man is endowed with natural knowledge, which comes to him following an act he does.
The secret of human language —————————————————– 2
Original article by A. Asbar A. aetzbar
The combination of the letters ez
It is the name of "this something" that my hand points to.
To know more about "this something"
You have to touch it, climb on it, taste it, and so on.
A distinction must be made between knowing the "name of something" which is just a combination of letters,
and the "knowledge of something" that is achieved through experience and actual action.
Practical experience is an integral part of human language.
Every combination of letters in the human language is just a name.
The combination of letters in the initials is just a name.
The only question that can be directed towards this combination of letters is this:
"The combination of letters in the beginning is the name of what"?
The answer to this question requires doing an act that leads to knowledge, but this act does not exist in the human reality. Therefore, the combination of letters in the capital remains as a line scribble with a unique geometric shape and a unique sound.
What is Genesis - the cry of man, is it really just a name?
Since every combination of letters in the human language is just a name,
You don't need to ask "what is the combination of letters in the capitals"
Yes, one should ask "the combination of letters in the beginning - is it the name of what?"
The combination of letters in RA is just a name.
The only question that can be directed towards this combination of letters is this:
"The combination of letters in RA is the name of what"?
The answer to this question requires doing an act that leads to knowledge, but this act does not exist in the human reality. Therefore, the combination of letters in RA remains as a line scribble with a unique geometric shape and a unique sound.
What is the creation - the man's cry, is it really just a name?
Since every combination of letters in the human language is just a name,
You don't need to ask "what is the combination of letters in RA"
Yes, one should ask "the combination of the letters in RA - is it the name of what?"
The secret of human language————————————————— 3
Original article by A. Asbar A. aetzbar
Human language is a language of names, combined with actual experience.
The language of names requires the natural existence of a wonderful translation system -
The link between sight and hearing - to the image that appears in the person's imagination.
Such a translation system exists in man, and he is not aware of its existence.
When a person looks at a drawing of a familiar combination of letters,
or he hears the sound of a familiar combination of letters,
The miraculous system creates a familiar image in the human imagination.
And when this familiar image appears, the person understands the language of his names.
Man has no control over this miraculous system, and it works by itself.
A proposed name for this autonomous system
Picturetransworder
Now all that remains is to create an application that should translate a page of a book into pictures,
And the viewer of the images should understand the content of the page.
The picturetransworder application can be run on any text,
From lectures and fiery speeches, to philosophical texts and to legal documents and pieces of poetry, and so on -
The result will be surprising, because in each book there are many combinations of letters,
(such as, for example, B.R.S., B.R.A., N.S.H.) - that the picturetransworder system is unable to translate into pictures.
The source of the eternal debates between people, stems from combinations of letters, which set
Picturetransworder is unable to translate them into images.
The picturetransworder system awaits scientific investigation.
A. Asbar 5/2019
Aetzbar
For the umpteenth time: it's a shame you don't learn something from the *passive* tense.
It is not possible for artificial intelligence to invent new physics, because the artificial intelligence was provided with data of accepted physics.
In order to invent new physics, you have to ignore Newton's old physics, the concept of matter with gravity, and the concept of dark matter.
The dark matter problem was created by Newton who invented an imaginary demon.
He even invented a name for this demon, and it is gravity.
Newton also invented a quantitative imaginary physical concept, and called it matter.
Newton also combined these two inventions and established a rule:
A lot of matter, has a lot of gravity.
It is time for the science of physics to get rid of these two inventions.
Matter is not a quantitative concept, and gravity does not exist in physical reality.
Matter is a physical form, created as a geometric form is created.
A geometric form is created by adding quantities of the length of a closed line, containing a quantity of area, and a physical form is created by adding quantities of passive time and energy.
Passive time is a quantitative physical concept that appears in neurophysics.
Energy is a quantitative physical concept.
Matter is a physical form, and is not a quantitative concept.
Gold, carbon, hydrogen are physical forms.
And just as a geometric shape is not a quantitative concept, so a physical shape is not a quantitative concept. Newton was wrong when he stated that matter is a quantitative concept, and he was also wrong when he stated that matter has gravity.
The mistake developed into the formula of "a lot of matter - a lot of gravity" and ever since
The science of theoretical physics is sinking and fading.
Matter is continuous and not particulate, nor is it a quantitative physical concept.
A lot of matter and a little matter are literary concepts, and have no place in physical reality. The materials with the names, iron, carbon, hydrogen, lead, …………..
They are physical forms.
All the physical forms in the world consist of combinations of amounts of passive time and energy. The infinite space in which the stars move is full of passive time and energy.
The matter of the stars is created from what is in the infinite space, and when stars die, they give to the infinite space their energy, and their passive time.
The concept of Newtonian matter and gravity have finished their role, and it is time for passive time and energy to introduce a new physics.
The new physics is neural physics, with passive time.
The new physics has a new geometry, of closed circular lines.
Expansion in the book "Esbar's magical journey on the wings of natural knowledge"
A. Asbar