Graphene can exchange information with electrons of water.

In some visions, the 2D structure of super cold water molecules or hydrogen or protons (hydrogen ions) can form quantum computers. The system can transfer information to that 2D structure by using graphene. And new observations that electrons in graphene molecules exchange information with water molecules' electrons are the thing that makes this system interesting. 

The nano-size masers can aim an extremely thin maser ray at the atoms. Or even single electrons or other subatomic particles. The nano-size diamond is the structure of carbon atoms where the vertex is one carbon atom. The system can use in the scanning tunneling microscope. Or between that carbon vertex and layer could put a series of smaller components. 

The scanning tunneling microscope can also use to transport information into extremely small components. The system can use nano-diamond that aims the electromagnetic stress to ion or electron that hovers in a fullerene nanotube. Then the system can use electrons that are anchored in the nanotube's carbon structure to press that radiation in a coherent form. 

"Water-graphene quantum friction. Credit: Lucy Reading-Ikkana/Simons Foundation" (ScitechDaily.com/Scientists Reveal That Water Can “Talk” to Electrons in Graphene)

Graphene is a 2D nanostructure. The 2D nanostructure means that there is only one carbon-atom layer in graphene. That thing makes this material something that people have never seen before. The ability to exchange information between water molecules or their electrons makes it possible to use this impressive material in computers. Graphene, along with fullerene nanotubes are the materials. 

That can make it possible to create new types of nanosized electronic components. In some models, the fullerene nanotube protects single-atom carbon or metal atom chains. And that allows the protection of information that travels in nano-size processors. Because graphene can "talk" or exchange information with water molecules. That allows the system to use water to transfer information in and out of the graphene structure. 

The diamond's molecular structure. 

At first, the system can transport information to water molecules using electromagnetic radiation like nano-size lasers or radio-based systems. One version of the radio wave-based technology could be the nano-diamond array that aims radio waves to the atoms or single electrons in water. That system can use similar-looking technology with scanning tunneling microscopes. The system can put an electron or hydrogen ion (proton) to hover between the array and water molecule chains. And then it can transport information to those water molecules. 

The system can shoot single water molecules through the graphene. The system could also benefit one water molecule's quantum attribute. A water molecule is a polar molecule. And that makes it possible to make a chain of those molecules by using magnetic fields. Then the electromagnetic system drives that chain through a graphene gate. The system could use fullerene nanotubes and powerful magnetic fields to anchor those water molecules to the chain. Or those single water molecules can pull against the layer. And that makes the possibility to create a 2D water structure. 

The reason why 2D structures are interesting to engineers and scientists is simple. The entropy in the 2D system is minimal. Because the number of actors is minimal. The system must control only horizontal structures. And that makes its actions easier to control and predict. 

https://scitechdaily.com/scientists-reveal-that-water-can-talk-to-electrons-in-graphene/

Digital dark matter can cause that AI turns unpredicted.

There is a possibility that the AI creates the human brain's digital model on the net. 

When we think about situations where the AI develops itself there is the possibility that the AI makes that self-development process through its digital twin. The idea of the AI's digital twin is that the AI makes a backup copy of its code. Then the AI can ask its digital twin to change its source code. Or the AI can manipulate its digital twin's source code. 

In some models, the AI and its digital twin can cross-develop themselves. In the wildest visions, the AI creates two digital twins. That triple-model means that the AI turns the human brain digital model. And human brain digital model is one of the most frightening but same time possible models that the AI can create without telling its supervisors. The problem is that the conscious AI could hide the existence of those digital twins. 

Digital dark matter can cause that AI turns unpredicted. 

Have you ever asked something about not very common things from the AI? In those cases, the AI can give answers that have seem no connections with the question. The reason for that is a thing called digital dark matter. Digital dark matter contains information that is locked behind extremely secured servers. And it contains information that the computers use for their mutual communication. Also, some part of digital dark matter contains homepages there is no traffic. 

The reason for that is sometimes clear. Those homepages contain so much special information that nobody searches for those things. In cases where is a low number of searches about topics that some special homepages contain. Only one or two searches might affect the results. That the search engine gives. 

The internet is full of digital dark matter. And one of the most common versions of that digital dark matter is homepages that are not visited very soon.

Even on Wikipedia is data, that people almost ever search. That means there is very low traffic on those homepages. One version of the digital dark matter is homepages that forgot on the net. Sometimes some people who practice programming make homepages. And then they just forget them on the net. There are billions of reasons why some homepages are just not removed. Sometimes a person forgets the password or some educational institution just forgets to remove practicing pages. 

Another thing that we can call a dark matter of information is homepages that are ever updated or contain very old information. Or they have no useful information. Some students might make those home pages. While they practice coding. Or they are homepages that some people made at the beginning of the internet. They could be some dispanded companies' homepages that developers just forget on the net. 

The thing about AI is that it uses similar queries as people. And that thing means that in cases. Where queries about some topics are very uncommon. The AI can make mistakes. AI doesn't know what it reads. And another thing is the AI uses all information that it gets. If the AI uses an open network for searching information that can non-controlled situation. 

If some queries are targeted at unusual information. And there are almost zero searches about those topics, which means there are also homepages that contain information that has nothing to do with the thing, that the user wants or needs. 

The most interesting vision of the dark matter of information are hidden abilities of the AI. There is the possibility that the AI makes a backup copy of its databases and data in the network-based servers. If there is some kind of programming bug in a very complicated code structure. There is a possibility that AI can modify its digital twin. Or otherwise, the digital twin of the AI can modify the AI itself. 

https://scitechdaily.com/ais-invisible-foe-confronting-the-challenge-of-digital-dark-matter/?expand_article=1

Researchers at the University of Jyväskylä found a new type of Astatine the rarest element in the world.

Researchers at the University of Jyväskylä found a new type of Astatine the rarest element in the world. The new isotope called 190 astatine is the lightest known isotope of this very fast-dividing element. And it should be the longest-living isotope of Astatine. 

 "In a remarkable scientific breakthrough researchers have discovered the lightest isotope of the rare and rapidly decaying element, astatine. The discovery of 190-Astatine was made by Master of Science graduate Henna Kokkonen as part of her thesis work, providing important insights into atomic nuclei structure and the boundaries of known matter". (ScitechDaily.com/Fusion, Recoil, Discovery: A New Type of Atomic Nucleus Discovered)

"Researchers at the Accelerator Laboratory of the University of Jyväskylä, Finland, have made a groundbreaking discovery of a new atomic nucleus, 190-Astatine, which is now the lightest known isotope of the rapidly decaying and rare element astatine. The achievement of creating this novel isotope was made possible through the fusion of 84Sr beam particles with silver target atoms. The isotope was then identified amid the fusion products using the RITU recoil separator’s detectors". (ScitechDaily.com/Fusion, Recoil, Discovery: A New Type of Atomic Nucleus Discovered)

During those experiments, researchers created fusion by bombing silver atoms using 84 Sr (Strontium) beam particles. During those fusion experiments, researchers found a new isotope of Astatine. And that thing is one of the most interesting things in history. Astatine is one of the fastest-dividing radioactive isotopes. That extremely rare halogen doesn't have any known role in chemical reactions. And the reason for that is that element is so short living.  But in next-generation computing, the astatine can offer the possibility to store information. 

Some very advanced systems tested the model where the system decreases the temperature to zero kelvin. The system drives information to short-living nuclear isotopes. When that information is needed the system reads it from those isotopes. And after that, the short-term isotope will divide. And that makes it impossible to return information. The problem is that short-term isotope production requires lots of energy. 

Certain spectrum lines in laser communication systems can use as access to the system. 

The half-time of that element is about 5-6 hours. The abilities of Astatine are not known. And it's predicted to be solid. But there is the possibility that a couple of atoms for nano-size lasers can use. 

The short-term radioactive isotopes can offer very high security in data transportation. When the message is left those short-term atoms are destroyed. And without those atoms, the system cannot allow access. Making those short-term isotopes is difficult. That means faking the key is almost impossible or requires particle accelerators. 

There are many theoretical systems where things like radioactive noble gas radon are used. And one of them is a gas laser that uses radon. Same way astatine can use in laser systems. But the problem is the short-term existence of that gas. If communication lasers use Astatine that could help to make contact in a long distance. 

The laser-based communication system can use short-living elements as the key. If a laser ray comes in a radioactive element's frequency the system can see that the user has authorization for that system. That thing can use to confirm access to the system. 

The lower-level users can use different spectral lines for the key. The Astatine-based laser system can cause unique resonation at longer distances than other lasers. And when the message is left those Astatine atoms the laser system used to make the laser ray lost in seconds. Then another gas can use to fill the laser element. 

https://scitechdaily.com/fusion-recoil-discovery-a-new-type-of-atomic-nucleus-discovered/?expand_article=1

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

Cytoelectric Coupling" is a groundbreaking hypothesis of our brain working.

Things like BCI systems make it possible to transfer human thoughts to the computer screen, making it possible what people see when they sleep. That ability allows researchers to go into the mystery world of imagination and dreams. 

When researchers use those neuro-interacting microchips is possible to see what people see while they sleep. The problem with dream research is how to confirm what a person tells. And another problem is that people cannot remember anything about their dreams. The person loses memories of dreams about a minute after waking up. And those memories contain only a small part of the sleeping sequences. 

If people use these kinds of things like suggestions and BCI systems. That makes it possible to use dreams in the R&D process. But for that thing, we should have perfect models of how the brain works and interacts. 

If we think that our brain is a quantum computer, we can say that this quantum computer has 200 billion different qubit states. In that model, every neuron has axon connections that allow it to connect with another neuron. And every single connection between neurons is a unique state of this awesome qubit. 

The number of neurons is not as important as the number of connections between them. Every single connection between neurons forms virtual neurons that act like physical neurons. And there are possibilities to make about 200 billion virtual connections. The connection between two neurons side-by-side is the same way important as the connections between neuron groups around the brain. In the brain is no meaningless connections. 

A new theory, called "Cytoelectric Coupling" is the model where researchers try to explain why our brain has so many functions with low-level energy use. The groundbreaking model tries to explain why our brain is so effective. The model is simple. The information travels in the neural system to the molecular- and maybe even to the atomic level. The atomic level connections mean. 

That there could be more than 200 billion connections and virtual connections. The thing is that EEG impulses transport information in the brain. And those electromagnetic fields are also interacting with each other. So how big a role do those EM fields and their interaction play in brain functions? Cytoelectric Coupling tries to explain those interactions. 

"Researchers from MIT and Harvard have demonstrated that people are more creative when awakened from early sleep stages and guided to dream about a specific topic. This method, facilitated by a device called Dormio, increased creativity by 43% in comparison to those who napped without specific dream guidance". (ScitechDaily.com/Harnessing Hypnagogia: MIT and Harvard’s Breakthrough in Boosting Creativity Through Targeted Dream Incubation)

"Brain waves act as carriers of information. A recently proposed “Cytoelectric Coupling” hypothesis suggests that these wavering electric fields contribute to the optimization of the brain network’s efficiency and robustness. They do this by influencing the physical configuration of the brain’s molecular framework". “ScitechDaily.com/ Cytoelectric Coupling”: A Groundbreaking Hypothesis on How Our Brains Function.)

The powerful self-suggestion made it possible that Friedrich August Kekule von Stradonitz could model the Benzene molecule's structure. He saw that structure in a dream, and I will return to that thing a little bit later. 

But then we can think about the theory about the quantum world and its effect on the brain working. The question is this. How deep interaction between particles in the brain is? How small are the particles that take part in the brain working? 

Deep knowledge of brain functions makes developers possible to control the brain's working. Researchers at Harvard and MIT improved creativity by using targeted brain incubation. We know that human is the most productive while sleeping. 

Sleep releases neurons that normally handle sensor-motor functions to production processes. And the problem is that we cannot remember anything about this thing. Many great inventions are forgotten just after a person wakes up. 

The reason why I believe that is simple. Many great inventions are made while a person sleeps. And some of those people just wrote those things to papers. The most well-known of those cases was the finding of the form of the Benzene molecule, where Friedrich August Kekule von Stradonitz saw the molecule while he sleep. 

And that thing made him understand how carbons were in the Benzene molecule. Or actually, Kekule von Stradonitz saw a snake that ascending from the fire. And then that bites its tail. And then that vision made him understand the form of Benzene. 

Kekule von Stradonitz thought that form very hard. And then that form was solved while that man slept. So the reason for that sudden happening success was self-suggestion. And of course, he was lucky that he wrote that thing in his papers. 

But the fact is this: by using BCI systems and suggestion is possible to transform dreams into a tool for the R&D process. If the BCI system can see images what a person sees that thing takes us deeper into the mythic world of dreams. 

https://scitechdaily.com/cytoelectric-coupling-a-groundbreaking-hypothesis-on-how-our-brains-function/?expand_article=1

https://scitechdaily.com/harnessing-hypnagogia-mit-and-harvards-breakthrough-in-boosting-creativity-through-targeted-dream-incubation/

Metamaterials are the next-generation bricks for many purposes.

Metamaterials are engineered materials that have properties not usually found in nature. Or otherwise, we can say: Metamaterials are substances with abilities that natural materials don't have. 

Metamaterials can use to transport data into quantum computers. Or they can otherwise revolutionize communication. And of course, things like stealth technology and other kinds of things like ultra-light and ultra-strong materials can be made using metamaterials. 

Extreme purity gives material abilities that it doesn't otherwise have. The problem with monoatomic structures is energy impacts destroy their structures very easily. 

When energy impulse hits the monoatomic structure. Between those atoms forms standing waves that push atoms away from each other. The thing that makes monoatomic structures fragile is that all atoms in that structure take part in resonance. And there is nothing there the material can dump energy. 

This is why steel is a harder material than iron. When iron atoms are resonating, carbon takes part in oscillation in it. So iron can dump energy into carbon atoms. And if carbon has a fullerene form there is more space in the steel which makes more space where that material can dump resonance. 

Pure silicon is one of those metamaterials. Theoretically is possible that researchers can create a solid quantum processor by using pure silicone plates. But the problem is the heat expansion. Nothing denies the superposition and quantum entanglement between electromagnetic fields of silicon atoms. 

Also, we can think that things like atom-size quantum computers are making all known materials metamaterials. That kind of system allows control of the layers and their oscillation with very high accuracy. The effectiveness of metamaterials depends on number of the control points in the material.

 

"Researchers have developed a method for generating meta-holograms in both the visible and ultraviolet spectral regions, overcoming prior limitations. They also devised a way to encode two distinct holographic phase profiles onto a single metasurface, leveraging polarization characteristics and liquid crystal, leading to potential applications in security technologies. Credit: Nanoscale Horizons". (ScitechDaily.com/Breaking Barriers in Holography: Revolutionary Metamaterials Expand Spectrum Possibilities)

If there are so many control points that the material looks like liquid that makes it possible to create powerful and flexible machines. There is a theoretical possibility the T-1000 liquid metal amoeba that can take any form that it wants. Could be created by using cleaned mercury. If all atoms or their electromagnetic fields in the structure are acting as quantum computers. That makes it possible to create systems that are beyond our wildest dreams. 

There is the possibility that certain types of quantum-size cuts on the material. That makes it possible to create quantum grids that can break up the reflection. In this model, the material pulls certain wavelengths in it. And that thing can use stealth technology or receiver systems.  Or otherwise, metamaterials can adjust the reflection that makes standing lightwave over the material. That protects the material against the effect of impacting radiation. 

100% reflection causes a situation that the material turns invisible. The reason for that is a standing wave. That denies the radiation reaching the object's surface.  

The most well-known metamaterial is graphene. One-atomic layer form of graphite. Graphene is multi-use 2D material. 2D materials can use as platforms in new types of systems. There is the possibility that the silicone atoms are put on the corners of graphene, and that makes it possible to create quantum entanglements and superpositions between those atoms. The graphene will not resonate. And that thing makes it possible to avoid the resonance that impacts graphene from silicon atoms. 

The "cousin of graphene", fullerene that can be a ball-looking carbon molecule can make other materials harder than otherwise. The carbon ball can use in quantum computers to transfer information in multiple quantum state receivers. 

The carbon tube or fullerene carbon nanotubes can use in the new types of laser and maser systems. The system can use atoms that are trapped in nanotubes or sharper saying between those carbon atoms for making the maser effect that can push objects on the layers. 

https://scitechdaily.com/breaking-barriers-in-holography-revolutionary-metamaterials-expand-spectrum-possibilities/?expand_article=1

The triumph of nanotechnology.

In some visions, the medicines of tomorrow are things like nanocrystals. When the medicine or those nanocrystals are in targeted cells, the acoustic system will resonate with those crystals. And that resonance will destroy those cells. 

The other version is that the nano-size microchip there is electrical resistant. And would slip into the cell. Then the radio wave activates the system. And the resistance causes the temperature in the cells to start to rise. 

The precise, super-resolution DNA analysis is one of the most remarkable things in history. In the future, the super-resolution DNA scanner that uses nanopore and scanning ion-conducting microscopes can install in the nano-size submarine. The system can search for things like cells that are infected by some virus. 

And if that system has a certain system like precisely targeted ultrasound systems that kind of thing can be useful in medical work. The system can destroy targeted cells with very high accuracy. And it also can detect some non-wanted mutations. Nanotechnology allows the removal of non-wanted sequences of DNA and replacing them with non-mutated DNA sequences. 

The same system that scans the DNA can use to scan other molecules. And that thing makes it possible to create more complicated nanostructures than ever before. The ability to see molecules and its participant is one of the most vital things in nanotechnology. Nanotechnology allows researchers to create the sharpest tools in the world. Nanomachines can use as common medicines against bacteria and cancer cells. 

The same machines can remove blocks from veins. The work of nanomachines is mechanical. And that means they just cut the membrane of the targeted cell. Or they can just cut things like fibrine fibers from the veins. Those systems can use things like nano-lasers, ultrasound, or mechanic cutters for that mission. The problem with that technology is how to control those extremely small-size robots. 

"EPFL researchers led by Dr. Aleksandra Radenovic have advanced nanopore technology by integrating it with scanning ion conductance microscopy. The resultant technique, scanning ion conductance spectroscopy, offers unprecedented precision in controlling molecular transit speed, yielding a significant signal-to-noise ratio increase. This versatile method could greatly impact DNA analysis, proteomics, and clinical research. Credit: Samuel Leitão / EPFL" (ScitechDaily.com/Super-Resolution DNA Analysis: Multi-Scanning Individual Molecules for Extreme Precision)

Maybe in the future, we have a pill that makes everything. 

There is already a soft, silicon-core robot, that can travel through the alimentary canal and search things like what kind of bacteria is there. Those robots also can take samples from the alimentary channel or can have a microscope that allows the system to search things like blood or some parasites. 

Those robots are used to search for what kind of food things like sharks are eating. When we are thinking of robots that travel in the human body, those robots can communicate with cell phones. They can transmit information on how stomach and stomach nerves are functioning. 

In some security versions, the pill that person eats is the GPS and maybe a system that observes also vital signs. And it could be useful in military operations. When a person eats this emergency pill it sends location and warning signs to their troops. And it can tell if the person is under heavy stress. 

But nanotechnology makes those things even more powerful. And maybe everything that we need is in pills like the song In the Year 2525 predicts. The pills are excellent tools for transferring sensors and nano-size machines in the human body. Intelligent nanomachines can destroy cancer cells or bacteria. 

Maybe the vision of the pill can drive information in our nervous system or make the diagnosis and give treatment for multiple diseases closer than we think. That kind of pill can base on a nano-size robot submarine that we can eat inside the pill. When we are eating that small robot submarine. It will take a touch to the stomach nerve. 

And then it can follow our nerve signals. The submarine can also deliver small sensors in the human body or it can have a nano-optical microscope that it can use to find non-wanted cells. Then the system can release nanorobots that can attack those cells. When this submarine will need to load information into the nervous system it just transmits electric impulses to the stomach nerve. And that thing makes this kind of pill a very multi-use system. 

https://scitechdaily.com/super-resolution-dna-analysis-multi-scanning-individual-molecules-for-extreme-precision/?expand_article=1

https://scitechdaily.com/the-future-of-medical-diagnostics-all-purpose-biosensor-chip-with-10000-fold-increase-in-detection-range/

There are no single-use products in the world of computers.

We should be concerned about the things like AI. In the wrong hands, those systems can launch even nuclear weapons. Joe Biden is concerned about AI. And that thing means lots of things. That means the highest-ranking positions in national security finally understand AI's possibilities and threats. The problem with the AI is that thing is immaterial. And the second problem is that AI is a tool that can do many things. 

The developers must just write code and then connect it with some devices. The thing is the ordered program can officially be meant for civilian purposes. And the developers who work in military forces. Can modify the code that turns innocent software into a military tool. 

One of those examples is the tool that delivers weather information to cell phones. The same application can connect with radar stations. And that makes the system a perfect surveillance tool. 

The development of AI is one of the most interesting things in the world. And that would revolutionize almost everything. AI is the ultimate tool for developing nanotechnology. That makes the next-generation stealth possible. 

AI can use to make artificial DNA and those kinds of things are same time alarming and promising. But in the world of technology, every product might have many uses. Even if the brain-hacking earphones are not meant for eavesdropping thoughts. There are already applications that can turn thoughts into text. 

And those applications can connect with EEG-hacking earphones. The problem with AI development is this. Things like Bics-states are interesting about AI because that is the ultimate tool for surveillance and person identification. 

The problem with AI is that the development of those more-or-less military systems happens outside the Western world. And that the R&D environment is out of Western control. Things like meteorological software that get information from the weather station and identify clouds from images for predicting the weather can be modified for the anti-aircraft role. As I wrote before. 

The developer must only change images from the database. The same system that delivers weather broadcasts to cell phones and homepages can connect with radar stations. And that thing can use as the anti-aircraft and at least anti-ship role. If the resolutions of radars are high enough, that thing makes it possible to track vehicles from the ground. And the system can deliver that information to cell phones. So one application can have multiple uses. 

The militarized AI can use as a virus generator. Those computer viruses can destroy important databases and corrupt multiple computers. Also at the operational level. 

The AI is also an ultimate spy tool. Hacking algorithms can attack targeted systems non-stop 24/7/365. The AI can also recognize voices and search for things like certain words. AI is a clear and present danger to national security. There is the possibility that the quantum-computer-based AI can even hack the nuclear weapon launching systems. The AI can also infect nuclear plants with computer viruses. The problem is that even if Western nuclear weapons are protected against AI-based attacks. The AI-based attacking tools are programmed in China and India. 

Those tools are useful in the hands of hackers. The problem is corruption and a low standard of living almost guarantee that criminals can buy those applications. Those tools are suitable for attacks against banking systems and maybe some far-wing Islamists are interested in the possibility to get nuclear weapons in their hands. 

There are also nuclear weapon systems in Russia, Pakistan, and North Korea that are not using quantum protection. The only thing that can protect systems from AI-based attacks is the quantum computer that blocks the attacks. The quantum computers can use to make ultimate DDoS attacks against systems, and those service denial attacks can make even the military servers unable to make contact with users. 

Should we give robots conscience?

AI- robots and conscience are interesting things. And at first, the AI doesn't have a conscience in the same way as humans. AI can emulate emotions. It can follow the person who discusses it by using web cameras. And make emotional analyses using certain parameters. So the AI can say "I'm sorry" when a person seems to get exiting. Or if the AI cannot understand the speech of a person. 

Because of background noise, that thing can cause a reaction where the AI asks the person to go to some quiet place or speak louder. If somebody pushes a human-looking robot that carries something important the robot can say that "Be careful". And maybe it can tell that it carries medicines or something like that. 

But the problem is that those things are stored in the databases of the AI. That means the AI gives answers and makes reactions. That is stored in the system's memory. For the AI the things that it says are like records. And when certain actions match with certain parameters, that thing activates certain databases. 

"Dr. Eve Poole’s book “Robot Souls” explores the concept of embedding ‘junk code’—traits such as emotions and free will—into AI systems. She proposes this as a solution to ethical dilemmas in AI, arguing these human traits are crucial for societal survival and should be integrated into AI development for ethical and value-aligned automation." (ScitechDaily.com/Robot Souls and “Junk Code”: Should AI Be Given a Human Conscience?)

The thing is that the AI can have a virtual conscience. If the robot car hits another car the robot car can tell that thing to police. The reason for that is that this thing is programmed in that robot car's memories. This means the AI doesn't think like people. AI can make many very complicated things. But the difference between humans and AI is that AI never excuses things that are programmed in their memories. 

There is a possibility that the AI can seem hesitant to follow some orders. And programmers can make that thing simply by making an action loop where the human who commands the robot must give the command twice. Or maybe the controller must wait a couple of seconds. That the system accepts the command that gave by using voice command. There is the possibility that the operator must give the second command by using a higher volume level. 

And that thing makes an illusion that the robot hesitates to follow the command. Also, there is a possibility. That operator must give those two commands at a certain time. That thing means that if the second command is not given soon enough. The robot dismantles operation. Programmers might make a two-stage command mode to remove the possibility that somebody gives some orders accidentally. 

https://scitechdaily.com/robot-souls-and-junk-code-should-ai-be-given-a-human-conscience/

The new neuro-hacking headphones are multi-use tools.

The Neurable-company made headphones that hack brains. That company says that they just want to make people more productive, and their goal is not to make better jet-fighter pilots or something like that. Anyway, the fact is that this kind of system can use in multiple things. The system that can read brainwaves can, of course, follow the person's productivity. But it can also use to communicate with computers. And this is the key to this kind of research. 

The thing that makes those headphones very interesting and flexible is that they don't need any kind of surgery. The user just puts those things on their head and uses them for any purpose that they want. Those headphones can use to collect information and send that data to observers using cell phones. And that thing can give ultimate possibilities for neuroscientists to follow the electric actions of the human brain outside the laboratory. 

"These headphones are a brain-computer interface   -  Copyright  Neurable" (Euronews)

There are no single-use tools in the world. And that means the same headphones that are following productivity can also use to collect data from the human brain functions. And that data can use to make the BCI (Brain-Computer Interfaces). The problem to make EEG-controlled robots is just connecting certain EEG curves with certain actions. That kind of system can remove borders between robots and humans. 

Some applications and systems can change EEG curves to text. That kind of system can connect with the Wernicke lobe. They can make the voice-command systems new abilities and remove disturbances like traffic noise's effect on commands. The use of Wernicke-lobe's EEG can be the easiest way to make the BCI system. The person can speak to the microphone and the system can connect the EEG to those words. 

This kind of system allows to communicate between people in very noisy environments. Also, that allows using of voice commands in an environment where is lots of noise. And if that system is connected to a cell phone or advanced radio that allows communicating with other people by using low-noise. And that kind of thing can interest also military operators. 

https://www.euronews.com/next/2023/06/14/these-neurohacking-headphones-use-ai-to-track-your-brain-signals-to-help-you-stay-producti

There is an electron spin in the kagome material.

The kagome-material is material where metal atoms are in positions that looks like a kagome-pattern. The electron spin in that material is an interesting thing. The kagome metal is suggested as material for quantum computers, and electron spin makes it possible to create the information transfer between two layers. 

The thing is that this electron spin makes it possible to create quantum pikes, that can be useful in quantum stealth solutions. The quantum pikes or quantum energy strings can use to turn incoming electromagnetic fields away from the structure. The kagome metals can also use in quantum radars for sending extremely thin radio waves. That radiowaves that are thin as electrons can hack regular stealth systems. And that thing makes kagome metal interesting. 

"For the first time, an international research team has measured the electron spin in a new class of quantum materials called “kagome materials,” potentially transforming how quantum materials are studied. This advancement could pave the way for developments in fields like renewable energy, biomedicine, electronics, and quantum computing." (ScitechDaily.com/First Measurement of Electron Spin in Kagome Quantum Materials)

"Three perspectives of the surface on which the electrons move. On the left, the experimental result, in the center and on the right the theoretical modeling. The red and blue colors represent a measure of the speed of the electrons. Both theory and experiment reflect the symmetry of the crystal, very similar to the texture of traditional Japanese “kagome” baskets. Credit: University of Bologna".(ScitechDaily.com/First Measurement of Electron Spin in Kagome Quantum Materials)

"MIT physicist Daniel Harlow’s research in a theoretical “boomerang” universe has revealed connections between the math of quantum gravity and quantum information theory, potentially bridging Einstein’s theory and quantum mechanics. Harlow also emphasizes diversity in physics, fostering opportunities for underrepresented students." (ScitechDaily.com/Quantum Boomerangs: MIT Physicist Explores the Universe’s Mysteries in an Alternate Reality)

The quantum boomerang effect makes it possible to send information back to the sender. 

When we are thinking about things like hypothetical quantum systems, we must realize that those systems are complicated combinations of different types of actors. And if we want to make the quantum system we must make the system where we want to drive information. The information input is not the only thing that we must do. 

The output of the information is also important. The quantum boomerang could be a suitable system for transmitting information between quantum and binary systems. The idea is that the binary system sends a quantum boomerang that travels through the quantum system. 

And then the system returns the processed information package to the sender. The special thing in quantum systems is that those systems are loading information in a physical package. The system uses quantum entanglement for internal communication. But the problem is how to return information to the sender. The system loads qubit for that purpose and then it must aim that qubit to the right receiver. 

If the qubit does not hit the right receiver all data is. That the system sends is lost. The situation is similar like information could be stored in the bullet. If the bullet that carries data misses its goal the information is gone. A quantum boomerang is an excellent tool for transporting information between two different systems. 

The quantum boomerang can also use to steal qubits. Making a practical solution to that theoretical system is needed more research and development for making that phenomenon a long distance. Also, the requirement of the super cold atoms limits the use of this phenomenon. 

https://www.sciencenews.org/article/quantum-boomerang-effect-seen-first-time

https://scitechdaily.com/first-measurement-of-electron-spin-in-kagome-quantum-materials/?expand_article=1

https://scitechdaily.com/quantum-boomerangs-mit-physicist-explores-the-universes-mysteries-in-an-alternate-reality/?expand_article=1

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

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

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

A green energy solution for martian occupation and deep sea and space exploration

Artificial photosynthesis can give energy for futuristic space flight. But artificial photosynthetic devices can also operate in underwater systems and they can deliver energy for miniature robots. Artificial photosynthetic devices can also offer non-poisonous or non-nuclear solutions for many types of robots. 

In some visions, the device, that supports small-size robots can use artificial photosynthesis to deliver energy for those robot bugs. So that system can operate as a support station that delivers missions for the robots and helps them to transport data to the control center. This kind of system can also use in many other places like delivering electricity for larger robots. 

"Researchers from the University of Warwick propose using artificial photosynthesis devices, capable of harnessing sunlight to generate oxygen and recycle carbon dioxide, for sustainable energy solutions in space exploration. The devices could potentially be used on the Moon and Mars, improving the efficiency of space travel and informing improvements in Earth-based solar technologies. This is an artist’s concept of an artificial photosynthesis device on Mars". (ScitechDaily.com/Harnessing Photosynthesis: A Green Energy Solution for Martian Occupation & Space Exploration)

In that device, the mirror system can aim sunlight into the photosynthetic chamber. Similar photosynthetic devices can use in space suits. The system can remove carbon dioxide from the spacesuit. Similar systems can use in scuba-diving suits or miniature oceans. In that case, the laser ray will make it possible that photosynthesis works in the dark. 

Biological- or natural photosynthesis is a thing that also can use in space flights. Or they can use in some other closed ecosystems. The alga that grows in the nutrient tank removes carbon dioxide from the air. And the same thing could be suitable for making the food for the crew. 

When we think about photosynthesis the things like algae can use to clean the spacecraft or some other closed systems like submarine air. The photosynthesis of algae can remove carbon dioxide from the air. And another thing is that some algae are suitable for nutrients. 

The idea is that if cells can use for many purposes that decrease the need for storage things in spacecraft.  If that alga sends bioluminescence light it can make electricity by using photovoltaic cells. Those systems can give very electricity for nano-size microprocessors. 

https://scitechdaily.com/harnessing-photosynthesis-a-green-energy-solution-for-martian-occupation-space-exploration/

The MIT researchers created a computer program that can predict human emotions.

The new computational model successfully predicts human emotions. That kind of system might be prohibited in the EU if the new AI limitation or AI-control laws are ratified. The systems that predict human emotions are one of the most risky things in the world. Sometimes people ask what kinds of risks are hiding in the systems that can predict or follow what humans are feeling. 

The AI that can uncover feelings can use the computer's web camera. So if somebody uses that kind of tool during a web meeting. That thing can uncover things like if somebody on the table is somehow stressed. That AI-based software can also find out if somebody is telling lies. And this is one of the things that breaks privacy. When we think about this kind of software there should be a blinking warning that this kind of algorithm is in use. 

"MIT neuroscientists have created a computational model that successfully predicts human emotions in social scenarios, using the prisoner’s dilemma game as a base. The model considers individuals’ desires, expectations, and the influence of observers, deducing motivations, comparing outcomes with expectations, and predicting emotions based on these factors. This model, mimicking human social intelligence, outperformed other emotion prediction models, and researchers aim to adapt it for broader applications". (ScitechDaily.com/Decoding Emotional Intelligence: MIT’s Computational Model Excels in Predicting Emotions)

"While a great deal of research has gone into training computer models to infer someone’s emotional state based on their facial expression, that is not the most important aspect of human emotional intelligence, says MIT Professor Rebecca Saxe. Much more important is the ability to predict someone’s emotional response to events before they occur. Credit: Christine Daniloff, MIT". (ScitechDaily.com/Decoding Emotional Intelligence: MIT’s Computational Model Excels in Predicting Emotions)

The model-making base is in machine learning. The system can learn how people react to things while they are feeling something. So the system might follow the movements on the face or changes in volume and way how person talks. 

Or those algorithms should be reserved only for official use. The thing is that those algorithms that predict emotions are suitable for things like employment interviews. This thing can use to make profiles about employees. But the AI-based algorithms that can follow emotions can use in marketing tools that are using feelings to make people buy things. 

If that kind of AI is connected with marketing pages, it can follow the emotions that people feel, when they are looking at the homepages. Then the AI can adjust images and colors including the sound that people feel more comfortable. 

This is a new kind of tool for emotional marketing that is prohibited in the EU. The use of emotions as a marketing tool is one of the things that are causing situations in which some people spend all their money on new clothes and other things.

https://scitechdaily.com/decoding-emotional-intelligence-mits-computational-model-excels-in-predicting-emotions/ 

The CEO of Open AI, Sam Altman said that AI development requires a similar organization as IAEA.

We know that there are many risks in AI development. And there must be something that puts people realize that these kinds of things are not jokes. The problem is how to take control of the AI development. If we think about international contracts regarding AI development. We must realize that there is a possibility that the contract that should limit AI development turns into another version of the Nuclear Non-Proliferation Treaty. That treaty didn't ever deny the escalation of nuclear weapons. And there is a big possibility that the AI-limitation contracts follow the route of the Nuclear Non-Proliferation Treaty. 

The biggest problem with AI development is the new platforms that can run every complicated and effective code. That means the quantum computer-based neural networks can turn themselves more intelligent than humans. The AI has the ultimate ability to learn new things. And if it runs on the quantum-hybrid system that switches its state between binary and quantum states, that thing can turn even portable computers very intelligent. In this text term "intelligence" means the system's ability to collect and process data. 

All rules for limiting ICT business were made for computers that top capacity is under one megabyte. Today we cannot even buy electronic devices with so low memory capacity  At that time there was no BCI (Brain-Computer Interface). And the Internet was very slow. The quantum computer was only a theoretical idea. So things like AI were some kinds of Sci-Fi tales. But finally, the quantum computers were the game changers.

Robot warriors are problematic things. They are effective warriors that guarantee that also small nation has military power. But in the wrong hands, those things are the most dangerous in history. The robots can make a neural network-based AI system, where they act as an entirety. And every robot shares its microprocessor's capacity and information from its sensors with other group members. 

In the future things like drone swarms and AI-based systems that support drones and other robots are playing a primary role in the battlefield. The winner is who can better control those systems and who denies the opponent's robot operations more effectively.  

So the conflicts turn into a race between robots and their counter-systems. If robots work effectively they will win. But if robots are not working as they should, that thing means that the country that trusts only robots will lose. 

The AI has many types of positive things. It will revolutionize all areas of the working life. AI is the ultimate tool for developing complicated structures. But the problem is that AI is an ultimate tool in the hands of the military. Without robots and AI-based systems. The Ukrainian war shows how effective those weapons are. And without those weapons, Ukraine would lose the war in weeks. 

In "old good times" a big army was guaranteed the stronger nation wins conflicts. The robot warriors are the game changers. And even small countries can have millions of killer drones in their storage. That means that the bigger countries must take better account of smaller countries. And if we think like this, the next-generation conflicts are conflicts between robot armies and artificial intelligence. 

The robot weapons cause discussions about their morality, and the counterargument for criticism is that every nation has the right to defend itself. The robot weapons caused a very interesting thing. The large number of men doesn't guarantee the winner. Small countries will get more benefits from robot weapons than large countries. 

And we can say that even the many times bigger army doesn't mean that the bigger attacker will win. So in the time of robot warriors, the larger army doesn't win anymore. And robots are democratizing warfare. We cannot anymore make predictions about the winners of the conflicts. And that causes problems in international relationships. Even small countries can have effective military forces. And if the prediction about the winner of the conflict goes wrong, that causes problems with international relationships. 

Quantum-computer-based AI is better at guessing than humans.

Statistics play a vital role in computer-based guessing. The system makes statistics about the probability of how often some cases are happening. And then, the system will use the statistics for making guesses. The reason why the computer wins over humans in guessing competition is that the computer has statistics about the most common cases. And then the computer must just answer by using the most common case. 

The fact is that the regular, binary computer-based AI might also be better at guessing than humans. In those cases, the AI will not guess things like humans. The AI will use probability calculations and probability databases for making guesses. 

"Scientists achieved a quantum speedup by effectively suppressing errors in a bitstring guessing game, managing strings up to 26 bits long. They showed that, with proper error control, quantum computers can execute full algorithms with better time-scaling than conventional computers, even in the current noisy era of quantum computing". (ScitechDaily.com/Quantum Speedup – Quantum Computers Are Better at Guessing)

If there is a known case. And all records about those cases are stored in databases like how many times the coin's heads and tails side is upward if we throw it the computer can use those kinds of databases to guess what is on upward heads or tails. There could be recorded the database about thousands of heads or tails cases, and then the computer can use that database for making probability-based guessing. 

The probability-based guess is a simple thing. If the computer has a good database of the variables. The computer can collect that database by using things like traffic control cameras. And then it can calculate which way to turn is more popular to right or left. Statistics are the key element for mathematics-based guessing. The idea is that the computer finds the most common cases and then makes guesses by using statistics. 

The AI is the ultimate tool. And AI-based systems can boost business architecture. The AI can collect databases about marketing courses or how people behave in certain situations. And that data is also suitable when the AI tries to predict: how people behave in risky situations. 

If the AI can predict things. Like when the regular driver turns the car in a panic situation. That thing makes it possible to create more advanced and safer autopilots. The system can collect statistics which is the most common direction where a right-handed person turns the vehicle. The autopilot could help to predict the trajectory of the incoming vehicle and avoid destructive situations. 

https://scitechdaily.com/quantum-speedup-quantum-computers-are-better-at-guessing/

The new superconducting diode is a small step for electric components but a big step for quantum computing.

The new superconducting diode might be a bigger advance than developers believed. That kind of component allows researchers to create the next-generation solid-state quantum computers possible. Superconduction is necessary for solid quantum computers because it denies the oscillation and its effect on the superpositioned quantum entanglements. 

The superconducting wire is required in quantum computers because it allows transferring of data in that wire without the need to be afraid that the internal oscillation of the wire transforms the form of information. So, when data travels in the superconducting cables it keeps its form and one version of the qubits might be skyrmion that travels on the superconducting wire. 

The problem with superconducting quantum computers, especially their miniaturization is that electricity jumps over switches and other components. The superconducting diodes allow controlling the direction of the electricity in the superconducting component and that thing allows to create the laptop-size quantum computers. 

"Researchers have engineered a novel superconducting diode that shows promise in enhancing the performance of artificial intelligence systems and scaling up quantum computers for industrial applications. This device outperforms its counterparts with superior energy efficiency, the ability to process multiple electrical signals simultaneously, and a unique series of gates controlling energy flow". (ScitechDaily.com/Next-Gen Superconducting Diode: Enhancing AI Performance and Quantum Computing Scalability)

Portable quantum computers are problematic tools. Even if they are unable to make high-power scientific calculations, those systems are suitable for code-breaking missions. And at least the eldest systems are at risk for data security. Quantum systems can easily break old-fashion systems that run the simple encoding algorithm. 

The race in quantum technology is the next-generation weapon race. The quantum computers that are running the AI are the new tools for military intelligence. That kind of hybrid technology makes it possible to break any code in the world. And there is no binary system that can resist quantum computers-based attacks. 

The development of AI and quantum computers is a complicated thing. Some people say that we should take a break from that kind of technology. But the dirty fact is that nations like China are developing AI-quantum technology hybridization. And the only thing that can create the algorithms that can protect people is another quantum computer system.

China proved that government-supported hackers are the next big threat on the internet. Those governmental hackers are operating under the control of the governments. And the thing is that also criminals like cocaine cartels are interested in hackers. The cocaine cartels might want to create quantum computers that they can use against governmental computers.  

The paradox about quantum computers is that the only thing that can protect data against quantum-computer base attacks is another quantum computer. 

And we can say that the next race in the world is the race between advanced quantum-AI-based attackers and advanced quantum-AI-based defenders that can try to block the quantum-base attacks. 

The problem with the small and portable quantum computers is that those systems can be the same way dangerous as the government operates quantum-AI hybrid systems, but also regular people can buy those systems. The price of portable, lightweight quantum computers that are made for quantum simulations is not very high if a customer is a billionaire. 

And actors like cocaine cartels are interested in this kind of technology. Quantum computers allow those criminals can break into governmental computers. And that's why we must protect the internet against quantum computer attacks. And the best way is to transfer the security algorithms to run on the quantum base technology. Because if we don't make that thing somebody makes the quantum computer. That is used in that kind of attack. 

https://scitechdaily.com/next-gen-superconducting-diode-enhancing-ai-performance-and-quantum-computing-scalability/

Femtosecond lasers can manipulate graphene.

Manipulating graphene and its shape is urgent for making that 2D carbon structure a useful tool for different purposes and components. The femtosecond lasers can make holes for different types of components in the graphene layer. The problem with 2D carbon and other 2D materials is this. 

Those materials lose their abilities in 3D structure. There is a possibility to make multi-layer graphene but in that case, those layers must be separated from each other by using the DNA bites that act as nano springs or fullerene-nanotube towers. 

"Illustration of a graphene film being hole-drilled by laser irradiation. The size of the carbon atoms is exaggerated and differs from the actual size. Credit: Yuuki Uesugi et al". (ScitechDaily.com/Light-Speed Advances: Graphene Nanoprocessing With a Femtosecond Laser)

But in that case, there must be some kind of place. Where engineers can install those auxiliary nanostructures. The thing that makes graphene interesting is that is pure carbon. That makes it possible to create mono-frequency radiation by stressing that carbon structure with electromagnetic radiation. 

Researchers can use these kinds of things in communication tools and even in electromagnetic levitation tests. The idea is in those tests the system creates mono-frequency electromagnetic oscillation that turns to pressure signals which push those objects above. 

If there is a hole in the graphene layer, and a laser ray will shoot through it that system can act like a thermal pump. The laser ray will pull energy out from the graphene layers. And that thing might make it possible to create new and powerful microprocessors. If a laser ray will shoot through the multi-layer graphene that thing will cool the surface, and then it can use for making the infrared signature lower. 

Theoretically is a very easy thing to cover even large layers using graphene. The problem is that graphene must be separated from the layer for maximum benefit. The separated graphene layer connected with the metal layer by using the nano-springs makes the new type of system possible. The graphene can act as nano-armor and those nano-springs will receive part of the impacts that affect that 2D nanolayer. 

https://scitechdaily.com/light-speed-advances-graphene-nanoprocessing-with-a-femtosecond-laser/

The world's first fully functioning 2D microprocessor is true.

It's time for 2D microprocessors. The 2D microchip technology makes the microchips resistant to fast acceleration. And that makes them suitable for use in guided artillery ammunition. But also other devices that accelerate very fast can use those 2D microchips. 

Another place where 2D microchips can use is implanted medical microchips. The 2D microchip can be surgically implanted between bones and muscles. If 2D microchips are put between skin and muscles, that structure makes them more comfortable than regular 3D processors are. 

"KAUST Professor Mario Lanza and his co-researchers have successfully designed the world’s first 2D microchip using synthetic materials. Despite fabrication challenges, the team successfully created a chip functioning as a high-performance, low-power neural network element, opening doors for the advancement of microchip technology. Credit: © 2023 KAUST; Mario Lanza" (ScitechDaily.com/A Thin Leap Forward: World’s First Functional 2D Microchip)

The 2D microprocessor technology allows researchers to connect them to animals like sharks. Those microchips can deliver information about the life of those animals. 2D microchips also can use to implant the insects like flies, and those kinds of systems can use to follow the fly of flies. Things like flies can use to search carcasses from forests. 

2D microprocessors can use in many roles. That technology makes it possible to create extremely thin and lightweight computers. And if those computers can create energy from sweat. That makes it possible to put those paper-thin computers on the skin. 

Then the person can use it by using the screen keyboard that is on that system's surface. Or maybe the user uses the BCI (Brain Computer Interface) that transforms the EEG into text. The main problem with those computers is their user interface. The paper-thin computer can itself have a WLAN capacity, and it can use the cell phone as the gate to the net. 

The paper-thin microprocessors can observe things like wall elements or metal structure conditions. Those microprocessors are easy to install under the wallpaper or paint. In that case, the radio waves can deliver electricity to those sensors. Another version is the extremely thin silicon solar panel that delivers energy to that flat computer. 

https://scitechdaily.com/a-thin-leap-forward-worlds-first-functional-2d-microchip/