Neutron lasers and neutrino beams are the next-generation tools.

Neutron lasers and neutrino beams are the next-generation tools. If researchers can capture neutrons and neutrinos. 

Neutron lasers are neutron clouds that are trapped in magnetic tanks. And the main problem with that system is how to get neutrons. The powerful magnetic field can trap neutrons from nuclear reactors. Neutrons are polar particles so the magnetic system can pull them backward slowing their speed. And then the magnetic field can lock neutrons in a magnetic chamber or tank. 

Those systems have based on the idea that when neutrons are stressed with the energy they send neutron radiation. Those neutrons will capture from nuclear reactors. Then in the middle of the tank is the group of neutrons that are put in line. Then the energy will pump to those hovering neutrons. The neutron cloud that surrounds those entangled neutrons will pump energy to them. And they send neutron radiation in both directions.

Below: A diagram of the neutron laser.  

3         VV

1 (***********)

2 >>>>>>>>>

1 (**********)

3       AA

The diagram of the neutron laser is 

1) Neutron cloud

2) Linear positioned neutrons 

3) Outcoming energy 

The outcoming energy stress neutron cloud surrounds linear neutrons. And the beam is forming in that part of the system. Maybe a magnetic field can use to trap those neutrons in the laser system. If that is possible. The neutron laser can be a reality. And neutron-lasers can use as a model for neutrino lasers. 

Image 2) The system used to create the most powerful neutrino beam. " The design of the experiment is elegant — produce neutrinos and measure them at Fermilab, send them straight through 1,300 kilometers of earth, then measure them again in giant liquid-argon detectors at Sanford Lab. Credit: Fermilab". (Phys.org/How do you make the world's most powerful neutrino beam?) In image 2 you can see how difficult is to create a neutrino beam. And that means capturing those particles is even more difficult. 

Neutrino beam can use to research protons.

New sensors in Fermilab were used to test the ability to create a neutrino-particle beam. If that particle beam or "neutrino-ion cannon" is possible to create. That thing allows observing things like the proton's internal structures. The name of that test system is MINERvA. And it's the beginning of the next-generation detectors that can scan subatomic particles' internal structure. 

Neutrinos are ghost particles with very weak interaction. That means they can travel through entire planets without touching anything. And that makes it very hard to detect them. Because neutrinos are particles, they can use to send similar radiation to neutrons. But neutrino radiation is a very short wave. There is a possibility that some kind of magnetic field can trap neutrinos in the chamber. And then powerful radiation will aim at that neutrino cloud. 

When radiation stimulation ends. Neutrinos are sent similar radiation with neutrons. Neutrino beams can use to detect the internal structures of protons. Or they can use "super X-ray" systems that can see many things that are impossible to see another way. Another version is to use neutrinos like ion cannons use ions. But the problem is that neutrinos are not following magnetic fields with very high accuracy. 

Capturing neutrinos in a chamber is not a very easy mission. But if that is possible. It can create a new type of instrument that can observe the internal structures of protons. 

https://fnal.gov/pub/science/experiments/intensity/minerva.html

https://phys.org/news/2019-11-world-powerful-neutrino.html?deviceType=mobile

https://scitechdaily.com/ghostly-neutrinos-provide-groundbreaking-new-way-to-investigate-the-structure-of-protons/

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

https://likeinterstellartravelingandfuturism.blogspot.com/

Robert Bartini and his dreams: ground-effect and invisibility.

Invisible aircraft and nuclear-powered bombers that used ground-effect (Ekranoplan)were Bartini's most radical ideas. There is no information if the original idea of Bartini that remained as a theoretical concept planned to be nuclear-powered. The Business Insider tells that the concept above this text planned refueled by submarines. 

But there is a possibility that Russia planned to create a nuclear-powered ekranoplan in that country. Things like the nuclear-powered Tu-95 Bear-class bomber called Tu-95 LAL tell that in the Soviet Union were many radical concepts in aviation. And one of them could be a super- or even a hypersonic nuclear-powered strategic bomber. 

Robert Bartini (1895-1974) was an amphibious- and ground-effect aircraft development pioneer. He was a Hungarian who worked in the Soviet Union. He was the father of some of the most radical aircraft concepts in history.  

"Caspian-Sea monster" ekranoplans are based on Bartini's research. Bartini's last ekranoplan VVA-14 was completed two years before he died in 1972. The massive Caspian Sea monster made its maiden flight in 1987. The smaller jet-powered ekranoplan, A-90 "Orlyonok" was introduced in 1972. And maybe Bartini saw that aircraft flying. 

That man's most interesting ideas were nuclear-powered bombers or nuclear-powered ekranoplan and invisible aircraft. The idea of the last one was that the oscillation of the aircraft's body will pull the incoming electromagnetic radiation to it. 

The idea is that the aircraft's body will sink in when electromagnetic wave movement strikes it. And that thing makes it work like foam rubber. The same method that makes foam rubber invisible to sonars can use to make layers invisible to all other electromagnetic radiation. 

But the problem is: how to find the right energy level for material which quantum field can tie incoming energy waves in every electromagnetic spectrum's frequency. 

Aircraft in images; 

1) A-90 Orlyonok

2) Caspian sea monster 

3)Beriev-Bartini VVA-14, wings removed. 

If the aircraft's body sinks in as much as radiation brings energy to it. That thing makes it impossible to see the aircraft, but Bartini was too ahead of his time that this kind of system can work. 

But then there is the possibility that a standing wave field can use to catch electromagnetic waves. That thing makes it possible that electrons and photons are impacting that field. And then that thing can aim the radiation in the wanted direction. 

There is the possibility that Bartini's idea can work but the oscillation must not come from the aircraft's body. In some fixed models the aircraft or layer wanted to turn invisible by using a standing wave. In that model, above the layer is forming a standing wave. 

The standing wave can form by using 100% reflection. If the standing wave's energy level is a little bit lower than the incoming radiation. And then it could conduct energy to the right point. That thing makes a situation where radiation sinks to that standing wave movement. 

Holograms and invisibility. 

The scattering effect makes a hologram. And holograms are quantum fields. So holograms can create virtual structures that can aim the wave movement to wanted direction. The hologram can make incoming electromagnetic radiation slide over it. When we think of holograms as creatures of electromagnetic radiation we can understand that all electromagnetic wave movement can create holograms. 

That means UV and infrared radiation can also make a hologram. But usually, we don't think. That also radio waves and even gravitational waves can create holograms. Electromagnetic waves can make holograms if they can scatter. 

And if those wave movements have a certain energy level they make electromagnetic waves with the same frequency to travel over them. That makes incoming radiation with the same frequency unable to reach the object. That is below that hologram. These kinds of things are interesting concepts. 

https://www.businessinsider.com/russian-secret-bomber-that-would-refuel-by-submarine?r=US&IR=T

https://en.wikipedia.org/wiki/A-90_Orlyonok

https://en.wikipedia.org/wiki/Bartini_Beriev_VVA-14

https://en.wikipedia.org/wiki/Lun-class_ekranoplan

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

https://en.wikipedia.org/wiki/Tupolev_Tu-95LAL

https://artificialintelligenceandindividuals.blogspot.com/

Researchers connected catfish and alligator genomes.

Above is the portrait of Digenes the Sinope. Philosopher. Who sends his dogs to shop for him. This story from ancient Greece inspired researchers to create the hybrid species. Those hybris species are made for researching the behavior of the individuals, but sometimes people are talking about things like intelligent pets, that purpose is to serve humans like dogs served Diogenes the Sinope. 

The military is, of course, interested in genetically engineered animals and hybrid animals like wolf-dog hybrids. Hybrid animals are not interested in other animals and especially opposite genders. 

That makes them safe for their operators. Those hybrid animals will not make things like start to bark in the patrol and alarm the entire enemy troops. 

The database collected in CRISPR and nanotechnology is the ultimate combination. If we want to transform certain abilities from one species to another, we must precisely know the DNA sequence where that certain ability is. By using genetic engineering is possible to make many things that were impossible before. And that thing is the ultimate opportunity and ultimate threat. 

Researchers can make things like intelligent pets, that are making services to us. And if we have things like genetically engineered dogs, we could send those dogs to shops. 

There are no limits to the genetic engineering and development of new species. The only thing that limits this research is the genetic material that the researcher can use.  

Using the well-equipped laboratories. Researchers can make organisms that die at a certain moment. And that kinds of things are fascinating and at the same time frightening examples that science can make. 

And more about hybrid species. 

There is a simple explanation for Big Foot. And that thing is the bear that walks in an upright position. So how do some bears choose that position rather than walking on four feet? The fact is that bears very often rise to that position when they hunt or mark trees. And this special bear was injured to the front feet. But does that thing explain all BigFoot observations? 

By the way, there is a story about BigFoot on ScienceAlert.com. That article claims that the BigFoot is the bear that walks in an upright position.  And that causes very interesting ideas in my mind. Is it possible that BigFoot is a hybrid species? 

Maybe, it's the hybridization of the bear and some other animal like a monkey. But there is, of course, possible that the Big Foot is the bear that just wants to walk in an upright position. There is the possibility that BigFoot is some kind of hybrid. But that is only speculation. The question is how bears learned to walk mainly in an upright position.

https://bigthink.com/life/crispr-alligator-gene-catfish/

https://www.sciencealert.com/bigfoot-has-a-very-simple-explanation-scientist-says

https://artificialintelligenceandindividuals.blogspot.com/

Computing is hardware and software.

Powerful computing requires both hardware and software. 

Computing is the combination of hardware and software. Things like powerful artificial intelligence require lots of power. But they can make things like the internet more powerful tools in history. The AI can measure the speed of the internet connection and optimize the result. That it gives for that certain speed. And that makes it more flexible than regular internet. The idea is that the AI uses a similar protocol to PHP. The server drives the AI and it sends the result to the client. And that thing makes it possible to use AI by using slower connections and cheaper platforms like tablets and laptops. 

If we think about AI as a cloud-based solution that interconnects multiple different systems we can model the situation where the dynamic AI will call more platforms to assist it, when it cannot make the solution alone. That kind of system can use the reserves of the CPU of all platforms in the same network segment. In that model the computers share their resources, but only when another computer asks for help. 

When we are talking about AIs like ChatGPT they might be next-generation tools. The thing is that AI can interconnect things like mobile telephones to a dynamic-cloud-based portable computer. And that thing makes them powerful tools. The development of physical systems is important because they allow driving software. So only software is not making the AI. The powerful tool requires data connections and powerful computers that can handle data. 

The new AI bases the human brain. 

"Scheme of a simple neural network based on dendritic tree (left) vs. a complex artificial intelligence deep learning architecture (right). Credit: Prof. Ido Kanter, Bar-Ilan University" (ScitechDaily.com/Building a New Type of Efficient Artificial Intelligence Inspired by the Brain)

Researchers made a new type of AI-based tree-type model. The model is that the system builds the mindmap. Regular computer-based AI uses a linear computing model. But then if the AI creates a mindmap-looking data structure where it can interconnect the databases. The idea is that if the AI gets a keyword like "car", it searches everything that has connected to the car. It finds things like metals fuel and many other things. 

Then, the AI can increase the data mass by searching for things. With a connection with metals. And then if finds mining, mining equipment, etc. The thing that this kind of data system searches depends on the parameters that the AI uses. 

The human brain's purpose is to protect humans in any situation. And that makes them so powerful and flexible. 

The human brain is the most powerful computer in the world. It's flexible and able to make more things than any AI. The human brain uses fuzzy logic. And that makes it a little bit slow. And another thing is that the brain cannot make things like calculations with precise accuracy as fast as some computers. The purpose of the human brain is not to solve mathematical problems. 

The human brain's purpose is to guarantee survivability in all conditions. That is the thing that makes concentration difficult. The human brain's purpose is to observe the environment. We cannot fully concentrate on things like calculations. Our brain sometimes wants to see things, that happens around it. 

This is the reason why we should sit in front of a window. When the brain wants to check that nothing threats us, it can make that thing very fast. If we sit face to the walls. Our brains think that some predator is stalking us behind our backs. The brain is made to protect humans, and it still thinks that it's their mission even if we sit in a safe room and try to solve some complex mathematical problems. 

The human brain uses cloud-based solutions for making operations. Every neuron is an actual miniature brain that can process data alone. And the thing that makes the human brain so powerful is that it can interconnect neurons to structures called virtual neurons. Alone one neuron is not very powerful. But together, they are the most powerful machine in the world. 

Theoretically, we could make AI that is the same way powerful as the human brain. But that thing requires so many databases that it has been impossible. Until the  OPen AI introduced ChatGPT to the audience. The ChatGPT-based system can make those 300 billion databases theoretically quite easily. The miniature microchips called "intelligent sand" can use for making a neural computer that works like the human brain.  But those systems are far away from the power of the human brain. 

https://scitechdaily.com/building-a-new-type-of-efficient-artificial-intelligence-inspired-by-the-brain/

https://artificialintelligenceandindividuals.blogspot.com/

How can energy push and pull at the same time?

The fact is that energy alone cannot make that thing. In my previous text, I introduced the model where a quantum tornado surrounds the superstring. And in that model, the string inside the tornado pulls objects away. Or superstring delivers energy to the particle. That will send it away as wave movement. 

The quantum tornado forms electromagnetic low-pressure in it. The low-pressure is forming when that tornado sends wave movement to the string. And that wave movement forms the small quantum low-pressure that pulls energy out from particles. That low pressure also pulls particles to it. 

Above) Positronium (electron and positron). Particle-pair is where two particles orbit each other. That kind of structure can make electromagnetic (quantum) overpressure and low-pressure that alternate each other. That makes particles push and pull at the same time.  

Are hypothetical WIMP particles particle pairs? That explains why nobody sees them. 

The question is this: is the hypothetical WIMP particle(Weakly Interacting Particle) a particle-pair that sends extremely thin electromagnetic wave movement pikes around it? When that (probably) superpositioned particle-pair orbits each other. 

That thing acts like a quantum propeller that harvests energy from around it. And then it conducts energy from electromagnetic fields around them? So are those hypothetical WIMPs superpositioned and entangled Higgs bosons or neutrinos? 

If WIMP is the particle pair. That explains why we cannot see it. And if WIMP is particle pair that rotates each other and then acts as an energy harvester, it can explain dark energy. Dark energy is that energy that source is mysterious WIMP. 

But otherwise thinking of the particle pair that orbits each other can make the effect that pushes and pulls objects. The idea is when those particles are orbiting each other. They send thin pike-looking waves away from them. The particle-pair acts like an antenna that sends electromagnetic radiation around it. That thing forms electromagnetic low-pressure between those radiation pikes. And that low pressure pulls particle to particle pair. 

When they are towards some other particle, they send very thin electromagnetic radiation pike to that particle. And when they are turning away. That particle where radiation pike hits sends extra energy away from it as the form of wave movement. That thing makes it possible. That the same particle can push and pull other particles at the same time. 

https://www.sciencenews.org/article/positronium-energy-levels-exotic-atom-physics

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

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

https://visionsofbrightfuture.blogspot.com/

A new dark energy model is a new way to see dark energy and its origin.

There is a couple of things that can explain dark energy. Dark energy is theoretical because nobody gets any kind of contact with that thing. Dark matter is the gravitational effect that dominates the universe. The problem with dark energy models is that universe expands too slowly that it can't match with cosmic inflation theory. 

There is a question can dark energy be some kind of "U"-shaped thing, where energy returns to the point where it left? For making that thing real. There is a needed two-layer structure in the superstrings. In that model dark energy is wave movement that forms a structure that looks like an apple. 

It looks like the Earth and its magnetic field. The dark energy will travel from the center to the most out shell of that structure. Then it turns inside and surrounds. When the most out shell of that hypothetical energy field touches some particles. It steals their energy and then releases it as wave movement. 

Can dark energy be the energy that same time push and pulls the object? That requires that there is a string there is whirl around it. The string is a standing wave movement. And the whirl pumps energy to that string. 

The string pushes objects away. And the whirl around that string makes the vacuum or electromagnetic low-pressure around that string. That structure makes it possible. That the same wave movement can push and pull at the same time. 

1) Dark energy is forming because of vacuum polarization. 

The vacuum polarization means that it also universe could have poles. If the universe itself is a polar entirety. That means it accelerates particles or superstrings. The superstrings that are forming particles can have poles. And that thing means that the polarization of the universe will accelerate them. So the dark energy would be superstrings that are traveling through the universe. 

The vacuum polarization forms the case where superstrings or particles start to travel to both poles of the vacuum. And then there are falling other particles or pieces of superstrings. Or wave movement in the middle of that particle starts to travel to the poles of the vacuum. And then another wave movement will replace that wave movement. 

Because replacing energy comes from outside. That means a quantum vacuum or polarized quantum will not produce energy from emptiness. It brings energy from the outside. 

2) Dark energy forms when the dark matter turns to wave movement. 

That model requires that dark matter is a so-called virtual particle. In this model dark matter is quantum whirls that are forming between particles. When those whirls are turned back to wave movement. That thing makes those virtual particles send wave movement to the universe. 

3) Third model is that the universe rotates around its center. That requires proving cosmic flow. 

In that model, there is a very massive mass center in the middle of the universe. And if all other objects are rotating that object it means centripetal force denies that galaxies will not fall to the center of the universe. That thing is called cosmic flow or "dark flow". And it's still an unproven theory. 

But if all particles and objects are traveling in the same direction. That means the universe rotates around one point. And there is a possibility that this model solves the question of why the universe's expansion is too slow. And that helps to fix cosmic inflation theory. 

How dark energy rips the universe into pieces, but nobody sees it?

The dark energy theory's origin is in Landau's free energy model. And quantum field theory is used to model it. 

"Unlike vacuum energy. which can be deduced only from the formulae of quantum field theory. The cosmological constant can be determined directly by astrophysical experiments. Measurements with the Hubble space telescope and the Planck space mission have yielded close and reliable values for the fundamental physical quantity." (ScitechDaily.com/Physicists Discover a New Approach for Solving the Bizarre Dark Energy Mystery)

"Calculations of dark energy on the basis of quantum field theory, on the other hand, yield results that correspond to a value of the cosmological constant that is up to 10^120 or 10120 times larger – a colossal discrepancy, although in the world view of physicists prevailing today, both values should be equal. The discrepancy found instead is known as the “cosmological constant enigma.” (ScitechDaily.com/Physicists Discover a New Approach for Solving the Bizarre Dark Energy Mystery)

 Dark energy is determined as free energy. That is not participating in the system. The problem with modeling that mysterious wave movement is simply dark energy is not interacting. And sometimes researchers ask why or how energy that doesn't interact can rip the universe in pieces. 

In that model, the dark energy is quite similar to gravitation. Gravitation interacts with visible and dark matter. So could dark energy be the mysterious "antigravitation"? Because gravitation interacts with dark matter, or otherwise saying mysterious gravitational effect, and visible material. 

Some physicists believe that there is a common particle in both versions of the material. But there is a possibility that dark matter is virtual material. In that model darn matter is a quantum whirl that suddenly vanishes. And when that whirl turns to wave movement it sends dark energy. 

Sometimes researchers offer dark matter explanations for dark energy. But the problem is that the universe expands too slowly. That means it doesn't fit the model of cosmic inflation. Cosmic inflation offered as proof of the dark energy. But the problem is that theoretical and real models are not fitting. 

Dark Energy is a mystery. It's the wave movement. That doesn't react, but that energy rips the universe into pieces. The problem with dark energy models is that universe expands too slowly. And that thing is the reason why dark energy is so hard to model.

Dark energy is a hypothetical form of energy until its existence is proven. The expansion of the universe is the thing that makes us believe in dark energy. But the problem is that the theoretical model doesn't match observations. 

When the cosmic inflation model was introduced the idea was that the expansion of the universe accelerates. When the distance between the objects increases. The gravitational interaction between them turns weaker. And then, the effect of the dark energy should increase. So dark energy should accelerate the expansion of the universe. But problematic thing is that the expansion is too slow. 

https://scitechdaily.com/physicists-discover-a-new-approach-for-solving-the-bizarre-dark-energy-mystery/

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

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

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

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

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

https://en.wikipedia.org/wiki/Inflation_(cosmology)

https://visionsofbrightfuture.blogspot.com/

Chat GPT passed the MBA examination.

Chat GPT artificial intelligence passed the MBA examination. It could adjust its answers by benefiting from the tips that humans gave. That gives an interesting vision of the possibilities that AI has.

Of course, it is possible, that some people try to make their examination by using AI. In this scenario, the person will put the AI to make all work.  And then enjoy the results. But there is a possibility that other AI-based systems will uncover straight loans. 

There is the possibility that in the future, AI can make many things like data analysis and other kinds of work for humans or helps humans very much. There are needed humans. But their role is to check the results that the AI gives. That means AI can make mistakes. 

The AI as a data analyst is as good as the data sources are. If the AI uses uncertain sources, or those sources involve false data, the AI will not realize that, which makes it erratic. 

If the AI uses let's say, ten home pages. It uses the first home pages that it finds. And in the worst case, the data that the AI uses involves things like souvenir guides. And in the thesis, that kind of thing is not very impressive. 

If the thesis should handle things like the economic situation in the Mediterranean area, the AI should remove things like souvenir guides and fictional novels. The thing, that causes problems for AI is. How to confirm the information that it collects? AI is a very good tool for analyzing pre-processed data. 

But if the AI should search the data from the net, it should make a difference between fact and fiction. The problem is that the AI can collect data. But it doesn't understand what that data involves. The Ai knows that the data it collects fills certain parameters. But otherwise, it doesn't know the meaning of the data. 

AI is an impressive tool. But the problem is that it doesn't realize the data that it collects for users. It uses certain parameters for selecting texts. And one of them is this: the AI or its user selects. As an example five home pages. And then. It connects paragraphs from those pages. But then there is the possibility that those homepages involve data that has no connection with work that the AI should do. 

The error correlation, like how many times a certain world repeats on the homepage can help the error correlation. Still today, there are needed humans who check the information that the AI inputs or outputs. The human must control the data that load into the system. Or the users must check the processed information. 

https://www.nbcnews.com/tech/tech-news/chatgpt-passes-mba-exam-wharton-professor-rcna67036