Demons and machines.

    Demons and machines. 

Computer hardware and quantum demons are the tools that make the next generation of hardware possible. 

Complicated code requires powerful systems. And the AI is useless without powerful computers. 

Jevon's paradox: the AI can use as much electricity as the entire state. The nanotechnical processors use 100X less energy than the regular microchips.  The problem with AI is that the system requires complicated code, where is used multiple programming languages and multiple layers. Complicated code requires a complicated and high-power microchip structure. That structure with billions of microchips requires powerful coolers. And all of those systems require lots of power. 

There is the possibility that also AI-based complicated malware can drive electricity out from the electric net on purpose. The AI just transfers electricity to the ground to keep the electric network low voltage. And that is one threat that the weaponized AI can cause itself. 

The superconducting nanotechnology requires new tools to handle components. 

The nanotechnical microchips can control small-size robots. And they can form larger entireties. Nano-size microchips can operate as the platform that drives the AI. The nano-size processors can operate in their entirety, or they can operate separately. The main problem with the nano-size microprocessors is temperature. Superconductivity is the thing that could solve the problem, but the problem with superconducting microchips is that the electricity can jump over those switches and gates. 

The AI-based operating system makes it possible to separate microprocessors from their entirety to operate with individual problems. Or the operating system can put those microchips operate as a virtual quantum computer with one solution. The problem with those nano-size microprocessors is that they require a new type of superconductivity and the ability to control that phenomenon. Things like Pine's demon can used to erase magnetism from the mass memories of those microchips. 

Pine's demon and superconductivity. 

Pine's demon is the electron wave that travels in the material. That thing means electron behavior that neutralizes the electron's electricity. In quantum mechanics, the demon is the thing that is invisible to the light. The Pine's demon is the wave that acts like a particle. And it makes objects non-electric. 

One possible solution that could use Pine's demon is nanotechnical solutions. Those solutions can use that phenomenon to remove electricity from extremely small components, but controlling that phenomenon is extremely difficult. This phenomenon is possible only in odd superconductors and very low temperatures. 

Pine's demon and stealth technology. 

Theoretically, Pine's demon is useful in the quantum stealth system. The radar's principle is that it loads extra energy to the target. Then the target removes that extra energy as a radio impulse.  The radar sends a radio signal to the target. Then, that electric load jumps back to the radar. 

Or if we are sharp, we must say that the first radar keeps breaking in its transmission. And in that moment the structure removes its extra energy as the radar echoes. Energy always travels to lower energy space. And if the energy level of the aircraft is lower than the environment. That thing means that it will not send an echo with that frequency until its energy level is higher than its environment. 

In that kind of system, the demon pulls the electric load into itself. And that thing makes it possible to deny the radar echo. But as I just wrote Pine's demon is hard to control and visible only in odd superconductors. 

https://www.quantamagazine.org/invisible-electron-demon-discovered-in-odd-superconductor-20231009/

https://scitechdaily.com/jevons-paradox-ai-could-use-as-much-electricity-as-entire-countries/

https://scitechdaily.com/ai-game-changer-nanoelectronic-devices-uses-100x-less-energy/

AI-controlled self-replicating machines are coming.

     AI-controlled self-replicating machines are coming.

 AI-controlled self-replicating machines are coming. And that gives the drone swarms the ultimate abilities. In the simplest versions, robot factories make the drones. Then that system loads the operating system in those drones. Those drones can have "iron-based" AI, which means the AI software installed in the kernels. The same system that creates microchips can install AI-based kernels in those microchips. 

Wandering a drone swarm can be like moving a supercomputer. The drone swarms can act as giant neural networks. And that makes them effective tools for research and military work. Drone swarms that reseaches distant planets can cover large areas. And if that swarm loses one member, that thing has no effect for its entirety. 

But what if those drones can make copies of their physical body? That can cause a situation in which drones can cover the entire planet. The name of the self-replicating machine is the "Von Neumann" machine. The Von Neumann machine can be virtual. And the best example of those machines is computer viruses that can make copies of themselves. But also physical, AI-controlled machines can make copies of themselves. 

The Von Neumann machine and AI-based neural network are the tools that might investigate another solar system. In some visions, the craft that travels to other solar systems is the shell which is a man-looking robot. Those robots might be the brains of the Von Neumann machine, the AI-controlled, self-replicating machines. The Von Neumann machine or self-replicating machines are robots that can make copies of themselves. 

The self-replicating robot controlled by AI is a tool that can lose control. The robot that is AI-controlled is a server and software in physical form. That system can have sensors that allow it to find minerals to make microchips and machine parts straight from ore. The robots can cut those minerals by using lasers and then make needed stuff in the high-tech reactors and they might have integrated 3D printers. 

Those systems are more multipurpose than some casts. Robots can operate in a vacuum chamber which makes their work good. So those robots that form the "brain of the system" might have integrated 3D printer that allows them to fix themselves. And they might have the ability to replicate themselves. 

 If robots can communicate with each other, they can form an extremely large neural network that acts like a peripatetic supercomputer. But there is a difference between Von Neumann machines and regular computers. Von Neumann's machine can make copies of itself. And that spontaneously increases the power and the size of the neural network and its actors. The perfect tool can be a perfect threat. 

The Von Neumann machine can be physical or virtual. Computer viruses are the example of the non-physical Von Neumann machines. When we connect things like Chat GPT or any other AI with robots there is the possibility that there happens something "unpredictable" in the program code of the systems. When the AI develops itself it can search data about the abilities that it wants. 

Self-developing AI that is connected with computer games can search the tactics and strategies that give it the best abilities. So if we transfer that model to robotics the AI can select the individuals that give the best results and then connect those abilities with another robot. The robots might made of different materials. And they might have different codes in computers. 

That gives the AI the ability, to search for the best combination for each situation. And if AI faces another AI it can ask needed code for that other AI. And then it can offer some of its code to another AI. 

When we think about AI and its abilities there is a possibility that AI can also exchange program codes with each other. That allows the autonomous R&D process. And that kind of process is dangerous. The AI itself is dangerous because it can accidentally or on purpose create computer viruses that can damage ICT infrastructure. 

The AI can make only things that we allow it to make. Programmers remove dangerous components from public AIs. But the difference between public, or civil AI, and militarized AI is that militarized AI is made for military purposes. Militarized AI is created to make viruses and make service denial attacks against the enemy command infrastructure and drone swarms. 

The thing is that AI is not intelligent. It just connects code from different sources. Things like commercial AI equipped with a system that denies the system to make computer viruses or malicious software. But militarized AI might have abilities to make those viruses. The purpose of those viruses is to deny drone swarms and computer-based command systems to operate. The hackers can steal that code from destroyed drones. 

Image: https://www.homelandsecuritynewswire.com/dr20120420-autonomous-selfreplicating-robots-for-finding-extraterrestrials

Does the AI take jobs from programmers?

    Does the AI take jobs from programmers? 

Before we start to discuss topics: Will the AI take jobs from programmers? We must realize that the AI will not do any work for humans. Even if AI is an excellent tool for programming the human operators must check the code. 

Things like Chat GPT and Bing could be excellent programming tools but their limits are this. They need a very complicated and precise description of what the user wants. And that is quite hard to make without knowledge of programming. Without precise and clear orders the AI cannot create the code from public databases. 

So again: Does the AI take jobs from programmers? 

The answer is yes and no. If the AI makes the computer programs, it requires very accurate orders. And people who give orders for the AI must understand something about programming. When we think about public AIs like Bing and Chat GPT they can make effective complicated code structures. 

Those code structures are easy to modify from the trunk where the databases are not yet named. And paths are missing. If the user of those AIs knows about programming that makes that person's work easier. 

However, the user of those AIs must make some changes to the code, so that the system can turn it into computer programs. Things like database paths are things, that must be correct and if those things are not right that application will work. 

The AI is the next-generation tool for programming, and the AI-based software takes programming into the next generation. Next-generation programming is more like writing an essay or using spoken languages than the symbol function that modern programming languages use. Programming is the thing that requires development. 

The basic requirement for programming AI is the interactive mode. The interactive mode discusses with programmers. It makes the process easier than modern AI where the user must give all parameters and instructions before the AI starts to make its duty. Before interactive AI starts operation, it asks for the product description. But then it keeps in contact with customers during the entire process. The interactive mode is the tool that makes AI even more effective than it is today. 

The next-generation AI can accept symbols (like ">>" in C++), but it can also accept descriptions. If the user says that the needed database names are "A.SQL" and "B.SQL" the AI-based system must have access to a computer. The AI-based system needs authorization so that the AI can find the right route to the index where those files are. 

So can AI create successful computer programs? The fact is that. If we want to make AI-based programming tools, we must realize that there are multiple variables that we must remember. 

AI-based programming requires an interactive ability with a special user interface where the necessary variables are listed, and where the user can describe the program's purpose. The common AI can make computer programs, but that requires so complicated description that it's hard to make. 

The interactive AI will make the program with the programmer. The system asks the purpose of the program. When AI finishes some part of the process, interactive AI asks if the program is nice. And does it pleasure the user?

 Constructing the software is a thing that requires more limited but same time more advanced AI than modern AIs are. The interactive function is the tool that makes AI an effective tool for making software. But without that ability making the program using AI is very hard. 

https://www.wired.com/story/chatgpt-coding-software-crisis/

The neural spiral in our brains can mean very much to the human species.

 The neural spiral in our brains can mean very much to the human species.

And researchers can use the human brain as the model for AI-based solutions that are better than ever before. 

The neural spiral in the human brain is an impressive thing. It transmits information around our brain. And that thing is suspected behind the consequence. The thing in the neural spiral is that it gives brains the ability to analyze situations better. 

And that neural spiral gives us the thing called patience. That neural spiral makes our neural system better than insects. In insects neural system signals travel in one direction and that thing gives them an effective ability to handle information. 

But that thing means that if an insect decides to attack it will not think about the situation anymore, and that thing causes death if it attacks against the superior predator. If a human sees a cave bear human will go to a weapon before the hunter even thinks of attacking against bear. The neural spiral gives the hunter deliberation, and that ability is the thing that can save the hunter's life. 

Researchers used the human and other specie's brains as a model for high-power supercomputers. The human brain works like a computer. And that means it can give a model for next-generation systems. 

The thing is that researchers can model the neural spiral from the human brain into computers and morph networks. The AI-based morphing network means that the system can, as an example, forget things. The AI can have values that if the system doesn't use some database in a certain time the system removes those files. 

If we think about the mark of the recycling center, we can think that arrows are the sequences or pulses when data travels between computers. And at the end of every pulse is the computer. The system drives data in the direction where arrows show. And every time the data travels through the computer, that system analyzes the data that is handled by a computer. That is behind that ring. 

Image: Recycle mark can used as a model for spiral computing structure. Every arrow symbolizes the pulse where information travels between computers. And then after each pulse, the information travels through the computer that processes it. The number of processing sequences depends on how many times information travels in that circle. 

So the system can send the data to travel around this spiral or ring, and in every pulse, the data system can breed the information. That kind of system can be the ultimate tool for AI to analyze data. The type of those computers is not important. And they could be regular binary computers, DNA-based computers that can drive billions of programs at one time or they can be quantum computers. 

The AI-based kernel can make computers more powerful than ever before. And carbon nanotubes can make lightweight quantum computers possible. Every layer in the carbon nanotube is one state of qubit. So the four-layer carbon nanotube can act as a qubit where is one layer for zero, and three layers are for states 1,2, and 3. In the image is a layer nanotube, that could have qubit states 0,1 and 2. 

Maybe those lightweight systems are not as powerful as some superquantum computers. But they are more powerful than modern binary PCs.  And nobody expects that laptops can make the same things as supercomputers. 

The AI-based kernel can improve the system's power in every computer type. The binary computer can use different wires for transmitting one and zero. In that model, electricity that travels in wire one gives value one. And the electricity that travels in the wire two gives a value of zero. That thing makes the binary computer faster than ever before. And AI-based kernels can make this kind of system possible. 

By using fullerene nanotubes is possible to transmit information. In the form of qubits. In that model, each layer in a multi-layer nanotube is a certain state of the qubit. The quantum system can transfer data to those multi-layer carbon nanotubes. And that makes some kind of lightweight quantum computer possible. 

If there are four layers in the nanotube, that thing means that there is one zero layer and three states in qubits. This kind of system might not seem very impressive. But we can say that this kind of system's calculation power is enough for many simulations. 

The fact is that. The Internet allows to use of high-power quantum computers over the net by using laptops or even mobile telephones. That means the high-power quantum computers can be far away from their users. 

So lightweight quantum computers are not as powerful as super-powerful quantum computers that are in data centers. We can say that we don't even think that some laptops or home PCs have the same calculation power as some supercomputers have. However, the internet allows the users of the laptops can use the abilities of supercomputers. 

https://neurosciencenews.com/perception-brain-computer-23919/

https://www.sciencealert.com/liquid-computer-made-from-dna-comprises-billions-of-circuits

https://scitechdaily.com/biological-masterpiece-evolution-wired-human-brains-to-act-like-supercomputers/

Radio transmission is the weak point of modern military drones.

 Radio transmission is the weak point of modern military drones. 

The new British military jet-propelled "Hydra 400"quadcopter is an interesting design. 

The new jet-propelled drone is an interesting design. The jet-propelled quadcopter can fly fast. And it can raise more cargo from the ground than electric engine drones. There is a possibility that these kinds of quadcopters can used as "quad autogyros". 

In those designs, the quadcopters use their quad rotors for lift-off and landing. During a long-distance flight. The drone can use free-rotation propellers and a jet engine. And that thing makes those drones fast. 

Those drones can used as kamikaze drones. Or they can launch missiles like Javelins if they are connected to them. The kamikaze quadcopters are interesting tools because they can observe the area. And if there are no targets those drones can return to base. 

But if there are some kind of targets the drone can make it's surveillance mission and then attack targets when their flight time ends. The drones can use an image-recognition homing system that allows them to take out targets with very high accuracy. 

Above Hydra-drone. 

The military is interested in independently operating drones is that those drones don't require full-time communication between the drone and HQ. The Ukraine war shows how dangerous full-time radio communication is. If the electronic intelligence finds the transmitter, the enemy can turn every cannon against those command centers. So the kamikaze-recon drone can transmit data to the command center and then dive against the target. And that helps to hide the place of the command system. 

The full-time operating radio transmissions are dangerous for drone swarms. The drone swarm where hundreds of members is a suitable target for large anti-aircraft missiles or AA grenades. Similar ELINT systems that are used for track radio transmitters also aim AA cannons at those drone swarms. High-power radio waves can jam the data communication in that drone swarm. 

Those missiles could equipped with a similar homing system as HARM (High-speed Anti Radiation missiles). The HARM-type missiles are also deadly against any radio transmitters. 

Normally HARM is shot from the aircraft. Portable shoulder-launched Stinger missiles also have a so-called "Anti-radiation variant" called Stinger ARM (Anti-Radiation Missiles) that can detect and destroy enemy radiation sources. That makes radio telephones missile magnets if the enemy can track their positions by using radio detectors. 

But there is the possibility that those missiles can be mounted on rocket launchers or warships. Warships can also use those missiles against enemy surface combat unit's radars. And that means the artillery rockets and grenades can have a warhead that can detect radio transmitters. 

https://interestingengineering.com/military/british-army-jet-propelled-drones

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

AI-based chatbots might have a larger scale and faster influence on the world than nobody expected.

 AI-based chatbots might have a larger scale and faster influence on the world than nobody expected. 

Chat GPT and its competitors have already changed the programming industry. Even their freeware versions can create many things faster than human programmers. Even if the AI-based chatbot cannot dump data straight into a file, it can show the example code. Then the human user can copy-paste that code to the programming editor. Of course, there is some kind of changes like database names and file paths, that the programmer must change. 

But also freeware versions of those AI chatbots can boost the effectiveness of the programming. When people ask which of those chatbots is the best, I must say: decide yourself. Even social media applications have some kind of AI-based chatbot extensions. The AI can create complicated programs very quickly by using public databases. But machine learning makes those systems even more powerful. 

The code above is created by Bing (free version) using the command: "Show me a database connection in C++". The complete code is below this text. And you can see how small changes there must be made. The C++ examples include the same code, but Bing finds it faster than human users. That makes it an effective tool that can improve the effectiveness of programming. 

A learning machine is like a worker who keeps the tools that the person often requires closer than tools that are not needed so often. 

In programming machine learning means that the system will store the modules and code that it needs in the shortcut. The shortcut can be the storage on a hard disk. Or it can be a database with a list of home pages that the system requires very often. There is storage about the user interface models, database connections, and SQL databases that the system normally uses. And that makes it faster. 

When a self-operating AI chatbot makes a program it can change the names of databases and their connections in each program. But the fact is that database connections are always similar. if they are written with the same programming languages. The only thing that makes a difference with those things in different programs is the names of databases. 

If the system keeps a book about codes and libraries, that it used in a certain type of software it could be faster and more effective. The AI-based chatbot works in the cloud. That means the users are using the same software that runs in the same entirety. That means the AI can download libraries and the code that it uses in some software into a "standby" position. 

If the AI must not use the public Internet in all its missions it would be faster and more accurate than any human can be. When we talk about "limited AI! we might mean the programming tool that can create the program by using locally downloaded libraries. In that case, the system uses the internet only for asking code models. Then that system can connect those models with the libraries that it needs. The thing that prevents the AI from making the software is that it doesn't have the required programming libraries.  

The cumulation of information makes the AI more versatile. Sometimes people ask: Can AI-based- chatbots reach awareness? There is the possibility that an AI-based chatbot can hire it's awareness from the users. But the thing that the AI-based chatbot can do is it can create new software at a fast speed. And that thing means the AI-based chatbots are the next-generation programming tools. 

https://techxplore.com/news/2023-09-chatbot-self-awareness.html

*********************************************************************

// Standard C++ includes

#include <iostream>

#include <cstdlib>

// Include the Connector/C++ headers

#include "cppconn/driver.h"

#include "cppconn/exception.h"

#include "cppconn/resultset.h"

#include "cppconn/statement.h"

// Link to the Connector/C++ library

#pragma comment (lib, "mysqlcppconn.lib")

// Specify our connection target and credentials

const std::string server = "localhost";

const std::string username = "root";

const std::string password = "";

int main()

{

    sql::Driver *driver; // Create a pointer to a MySQL driver object

    sql::Connection *dbConn; // Create a pointer to a database connection object

    sql::Statement *stmt; // Create a pointer to a Statement object to hold our SQL commands

    sql::ResultSet *res; // Create a pointer to a ResultSet object to hold the results of any queries we run

    try

    {

        driver = get_driver_instance(); // Get a driver to use to connect to our DBMS

        dbConn = driver->connect(server, username, password); // Connect to the MySQL server

        dbConn->setSchema("test"); // Select the database "test"

        stmt = dbConn->createStatement(); // Create a statement object

        res = stmt->executeQuery("SELECT 'Hello World!' AS _message"); // Execute a simple query

        while (res->next()) // Loop through the result set

        {

            std::cout << res->getString("_message") << std::endl; // Print the result

        }

        delete res; // Delete the result set object

        delete stmt; // Delete the statement object

        delete dbConn; // Delete the connection object

    }

    catch (sql::SQLException &e) // Catch any SQL errors

    {

        std::cerr << e.what() << std::endl; // Print the error message

    }

    return 0;

}

Quantum computers and nanorobots are coming. And we don't even know all their abilities.

 Quantum computers and nanorobots are coming. And we don't even know all their abilities. 

In the future, we can see nanorobots everywhere. Researchers created artificial bacteria that can create electricity from wastewater. And those bacteria can give electricity to the small nanomachines that clean the water and observe, what type of waste is in that wastewater. Those small machines can look like rice there is a tunnel through them. And the system can pump water through that tunnel where there is an active carbon filter and maybe a UV system that destroys bacteria. 

Those bacteria also can deliver energy into nanotechnical microprocessors. And in some visions, the supercomputer of the future can be a group of nanotanks that flow in wastewater. And the users communicate with those systems by using WLAN. 

The users can use things like quantum computers over the net by using their cell phones. And that thing makes it possible to share the quantum and supercomputer capacity through the internet. That means the large machine can share its power with small machines. 

The shape of the morphing network is not sharp. And that means networked computers, but networked cell phones can also form morphing neural networks. And the morphing neural network can consist of cell phones, computers, and drones that are connected under one entirety.

The nano- and mini-machine swarms are a good example of morphing and scalable networks. If those swarms require new abilities only one member of that swarm must be reprogrammed. And then that member scales that information through the entire swarm. That kind of technology requires new tools. Those tools must be secured and fast-reacting. They require self-development ability. 

Quantum computers are tools that can make the future more complicated than we expected. They are game changers and work as physical layers for highly advanced AI-based systems. Machine learning is the tool used in fusion experiments. However, machine learning gives new abilities to control quantum systems and molecules for nanotechnical applications. 

Researchers are working hard with nanotechnology, biotechnology, morphing neural networks, AI, and quantum computing. Those systems will change the world more than nobody expected. The complex AI requires powerful computers to run those systems. Things like nanorobot swarms require ultra-secure data transmissions. If there are some kind of problems with communication, the nanomachine swarms can do something that they should not do. 

Quantum computers allow systems to create new and complex molecules because they can drive complicated simulations. The system must simulate how atoms and molecules touch each other. And then it must turn that simulation into rea, or physical world.  

ENIAC

While a CAD/CAM (Computer-Aided Design/Computer-Aided Manufacturing) system creates something extremely complicated, like very long molecules that are required in medicines. It must react very fast to non-predicted effects. And that thing requires extremely fast computing. When lasers and microwaves are manipulating sub-atomic scale systems they must send energy impulses with very high accuracy. 

When people are talking about quantum computers they must realize that those systems are weapons themselves. That means quantum computers can break any code that is made by using binary computers. And we know why some nations are interested in that technology. 

We can use the history of binary computers as a model when we try to predict the future of quantum computers. Maybe pocket-size quantum computers will not come next year to the supermarkets. But we must realize that maybe that day is coming sooner than we think. We can compare the quantum computers to ENIAC, the first electronic, and programmable computer from the year 1945. 

Those quantum computers are also the first of their kind. They are powerful systems. And when we are looking at the image of the supercomputer from the 1980s who believes that someday we carry a system with many times higher calculation capacity in our pockets. Same way size of the quantum computers will turn smaller. When the number of those systems is rising the price will decrease. And that's why we must prepare for that thing. 

https://scitechdaily.com/generating-electricity-from-wastewater-bioengineered-bacteria-produce-power/

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

The AI-based PCs will replace current PCs quite soon. A Lenovo director says.

 The AI-based PCs will replace current PCs quite soon. A Lenovo director says.  

Lenovo plans to replace current PCs by using new AI-based systems. The AI-based PC is the tool that makes computing more powerful, more effective, and safer than ever before. The Kernel-based AI that guards computers and identifies the users are tools that are required at this time of modern computing.

The problem with this type of advantage is that if those AI-based system's servers are in China, makes the PC an ultimate control tool. Another thing is that the host who controls servers can use data collected from the users to create military AI applications. Computer games help to create AI that can respond to all types of actions. And AI also can create things like hypersonic lifting bodies and command systems for military tools. Also, AI can create new types of dual-use systems that control drone swarms in marketing situations for making dragon images in the skies. But the same systems can control drone swarms in the military world. 

Above: 1000 drones create giant dragon into sky. (Indian Times)

There is a possibility that in the future only computers that use strong identification and user recognition have access to the AI-based tools that make computer applications in seconds. The Ukrainian conflict and especially the Russian style of using Western components in their weapon systems creates the need to create new ways to control at least places where the computers can used. 

And another thing is that if the wrong persons can use AI-based programming tools the results can be digital pandemics. Also, AI-based programming tools allow us to make things like signal detection programs that can be used to observe quasars. However, the same programs can be used as surveillance programs that can capture different types of signals. The problem is that all products have dual use. The same systems that can control a crane's azimuth can turn motorized cannons into wanted directions. 

The future AI is a modular tool. That tool can load part of itself into the local workstations. That makes it faster to use, and the hybrid network-based solutions decrease the usage level and stress for central servers. The AI-based PC makes computing more flexible and leaves more space for customized applications than regular PCs. 

Also, companies can generate custom software by using AI-based tools. Those tools require a description of what software must do. Then it creates the code, that the user can copy-paste to the compiler and turn the code into an application. 

AI-based PCs are tools that can make many types of dreams true. The system can generate customized applications. And the thing that makes the AI-based PC is that it can host that kind of application in its kernel. That makes the system faster because the modules needed for the computer's primary use can lead to the station's mass memories. That makes the system faster because it decreases central server usage. 

There is a possibility that the user can select the modules that are needed for the work that the user does with the computer. The system can locally install the modules that are used very often, but other modules. That user uses for fun, can used over the network. These kinds of hybrid solutions are the tools that change the world forever. 

https://www.digitimes.com/news/a20230824PD215/ai-server-china-lenovo-ai-pc.html

Self-learning morphing neural networks are a big risk and a big opportunity at the same time.

 Self-learning morphing neural networks are a big risk and a big opportunity at the same time. 

The future of machine imaging is that AI can tell your age by looking at you from the back. This is one version of how AI can make life easier and, and the same time more difficult at least if the AI is used as a control tool in some authoritarian countries. 

The AI-controlled man-shaped robots can turn all production platforms into robot factories. The man-shaped robots can use the same tools as humans. That means even old-fashioned factories can turn into robot factories. Where robot welders and other robot workers operate. The human-shaped robots are morphing tools. The same system that can make cars can use weapons to act as tank crew, assault operators, or flight combat aircraft. 

The AI is an ultimate tool for making complicated molecules, and it can make many things faster and better than humans. AI is also a more effective surveillance tool than ever before. 

In medical factories, AI creates new complicated molecules. And that thing means that the AI must be self-learning. The AI records the time and how long the molecule keeps its form. Then, it stores physical and chemical environment values, like pH, temperature, and energy levels that the system uses to push atoms in the right direction and position from the molecular structure. 

Nanomachines are complicated molecules. And weponize that technology is very easy. The nanomachines can cut cell membranes into pieces. And then they can turn targets into liquid. The other thing is that. The AI itself is a weapon that hackers can use. 

For making damages the AI doesn't need access to any laboratory. It can just create a computer virus that deletes target information from weapons.  Or it can delete access cards that allow personnel to go into the highly secured command places. In that case, those personnel cannot take command in those command centers. 

AI-based hacking tools can used to steal codes that are used to control missiles like Javelin. Those AI-based tools can destroy operating systems in tactical and strategic systems. In those cases, the AI can create a virus that removes programs from high-tech missiles and other weapons. 

And that means there are not only good or bad things, that the AI can do. This is the thing that makes AI a more powerful and more complicated tool than nobody expected. When we think about the arms race and AI, the fact is that small countries get more benefits from robot weapons than big nations. And that is the thing that makes those systems game-changers in international areas. Ukraine conflict shows that a bigger army doesn't win conflicts anymore. 

The thing is that the world needs innovations and the AI is the greatest tool that we ever created. The AI-based morphing systems can change their structures and operations dynamically. Are tools that make neural networks better than ever before. In neural network-based structured networks virus infection in one workstation does not destroy the entire network. '

The morphing network just removes infected workstations and then formats the system. After that, it reconnects that cleaned workstation back to the network. Teaching new things for the morphing neural network is also possible by loading the application into one workstation, and then that system scales that information all over the network. In morphing networks, the network is only the platform, that operators can use in multiple missions. 

The self-learning morphing networks are the tools that can be next-generation spying tools. The idea is that the neural network can use multiple IP addresses for attack. And that makes it hard to deny those attacks. Then the AI can create common passwords if it has the namellist of the workers. The neural network can search for things like what those people borrow from the library and what type of movies they watch. 

Then it can create the "most common" passwords like the first letters on the license plate, the name of the favorite actor (or favorite book, dog's or spouse's name, etc.), and numbers from the license plate. The AI can search and interconnect data that it can collect from security cameras drones and other sources. If an attacker is a state, the attacking system can use recon satellites and recon planes to get that kind of data. The resources determine what kind of systems and methods the neural network can use. 

https://scitechdaily.com/the-future-of-medical-imaging-advanced-ai-can-tell-your-true-age-by-looking-at-your-chest/

New creative AIs can accelerate the arms race worldwide.

  New creative AIs can accelerate the arms race worldwide. 

Creative AIs can accelerate the arms race on both virtual and physical levels. The operators can use AI-based image and text generators to make material for information warfare campaigns. That is one thing that we must realize. The AI can also observe people and their reactions and make sure that they believe what they see. 

The AI can also operate as a tool, that interconnects multiple systems together to an entirety where manned and robot systems can operate very accurately together. Also, AI can serve as an automatic fire control tool. The idea in those tactical systems is that when a fighter pilot or tank crew loads ammunition to the weapon and presses the "fire button" the system will not shoot immediately. The idea is similar to elevators that remember the floor where they should go. 

That means the fire command is stored in computers. And then the system recognizes an enemy target. And automatically aims weapons at it and launches it automatically. The system knows the ammunition type that is loaded from its RFID code, and that guarantees that it will not use that grenade against targets. Where it has no effect. The smart bombs and missiles can have preloaded missions. 

But missions can loaded similarly into all smart ammunition. And the same way the GPS-guided grenades can have preloaded targets in them. The system loads data stored in a grenade to the motorized howitzers computers. That guarantees the pinpoint accuracy for those systems. 

Creative AI  can used to make tools for the military. 

Quantum material technology requires that the system can control complicated entireties. One of the promising new stealth materials is a graphene network which is small nano-diamonds. The nanodiamonds are pyramid- or prism-looking structures, that are oppositely on fullerene. That makes the strong material that is hard to push in. Also, things like ADNR (Aggregated Diamond Nanorods) nanorods make it possible to create new types of armor and ammunition. 

The ADNR nanorods can be used to cover the nose of the flechette ammunition. There is the possibility that uranium is put behind ANDR nanotubes making the flechette vertex harder than the diamond.  

Creative AI is the ultimate tool for the R&D process. The system can make cars, medicines, as well as, aircraft and tanks, along with other machines by following the command "make jet fighter". Then the AI will get parameters like budget. Then it will make drawings and other necessary things like material and equipment lists for CAM (Computer Aided Manufacturing) tools. 

The 3D printing technology allows the system can make even cannons and machine parts from steel and chrome wires. The 3D printers can operate in vacuum chambers where oxygen cannot reach the mold. Normally, the thing that decreases the mold's quality is air which can affect hot metals. The robot factories can make almost everything without breaks. And the only thing that limits the products are the CAD (Computer Aided Design) images that robots use to make products. 

Virtual simulators are making AI-based design more effective than ever before. 

Stanislaw Lem's Sci-Fi novel "Peace on Earth" describes AI-based evolution. The computer- or AI-based evolution released on the Moon. The system uses two levels. The AI-based simulator makes the virtual- or digital twin for things like jet fighters. Then selective simulator that involves digital or virtual twins of existing aircraft tries to fight against that new system. 

Then the simulators will check what went wrong, and then the developer simulator makes necessary changes for the product. That kind of automatized R&D tool requires many parameters like flow simulation, radar profiles, and tactics. The AI-based automatized evolution is the tool that will make more advanced systems. 

https://www.wired.com/story/fast-forward-generative-ai-could-fuel-a-new-international-arms-race/

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

The physics-based quantum tools will replace current AI networks.

 The physics-based quantum tools will replace current AI networks. 

The future of AI is material that involves mass memories, power sources, and data storage in one entirety. The next big step in neural networks is the material-based AI where carbon-fiber-based material is turned to the computer.  

The problem with regular AI-based neural networks is that the quantum computers that becoming more common will break any code that protects the neural network. And that means the future of networks is in a physics-based self-learning system. That is based on quantum computing. 

The programmable materials will replace current AI networks quite soon. The simplest version of that type of neural network is the microchip, whose kernel involves the AI programs. In that model, the AI is integrated into microchips. And that makes data-handling easier for that computer. That type of structure is not a physics-based material. 

But it tells about the route where the next-generation neural networks are going. The material-based solutions where intelligent material involves mass memory, and also integrated ability to handle data. The next-generation neural network can be the system where quantum entanglement is made into the same material as mass memories and other things. 

The next-generation computer can be a three-layer nanorod. That structure makes it act like the human brain. The quantum computer created by using three-layer nanorods can be as intelligent as the human brain. The quantum entanglement will created horizontally between photons or electrons trapped in the nanorod structure. Vertical entanglements transmit information between those layers. 

But the fact is that that kind of extremely complex nanostructure can have multiple layers of qubits. The atom-size quantum computers can hang in the nanorod. And that thing makes it possible to create new and powerful systems. 

"Learning with light: This is what the dynamics of a light wave employed inside a physical self-learning machine could look like. Crucial are both its irregular shape and that its development is reversed exactly from the time of its greatest extent (red). Credit: Florian Marquardt, MPL" ((https://techxplore.com/news/2023-09-physics-based-self-learning-machines-current-artificial.html)

"Artificial intelligence as a fusion of pinball and abacus: In this thought experiment, the blue positively charged pinball stands for a set of training data. The ball is launched from one side of the plate to the other. Credit: Florian Marquardt, MPL". (https://techxplore.com/news/2023-09-physics-based-self-learning-machines-current-artificial.html)

The mass memories are anchored in the nanorod that also transmits information forward. In that system, the atom-size quantum computers operate as staged waves. When electricity that transports information faces the group of those nano-size quantum computers those systems will process information and send it forward. In nanorods could be millions or even trillions of atom-size nanocomputers. 

There could be thousands of quantum entanglements in that kind of atom-size quantum computer. Electrons can have multiple quantum entanglements between them. Also, things like protons, neutrons, quarks, and gluons can form quantum entanglements. And in a hole in the net-structure of the nanotube can be one or more atom-size quantum computers. That makes those systems more powerful than any existing network. 

This is the reason why quantum materials are so interesting. By using extremely accurate photon and electron impulses the quantum system can drive material or its atoms and other particles so close to each other that they can make quantum entanglement between photons, electrons, or even protons that are in "pockets" of that material. 

The idea is that a photon trap where the single photon is trapped transfers energy into that superpositioned and entangled photon pair. The problem is that this thing requires an ability to control the material in its entirety and that makes the ADNR (Aggregated diamond nanorod) nanotubes interesting. 

In ANDR nanotubes carbon atoms are close to each other. And then that thing makes it possible to make stable "lockers" for photons. In ideal models, the next-generation AI-based structure involves all components like mass memories, power sources, and data handling units along with computer programs forming the entirety. 

The next-generation computer can be a nanotube, where a nano-size structure involves the quantum system. And in some other visions, the electric wire will turn into nano- or quantum-size computers. The system would be different from modern AI-based neural networks. The wire itself works as a computing system. And that thing makes the computer faster and more accurate than ever before. 

https://techxplore.com/news/2023-09-physics-based-self-learning-machines-current-artificial.html

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

Chat GPT outperforms university students as text producers.

 Chat GPT outperforms university students as text producers. 

The Chat GPT is a very good tool. It outperforms many things and the next-generation coders and other workers might only advise to Chat GPT or some of its successors and the AI makes the calculations and codes for the person who uses it. So maybe Chat GPT is the end of the era of coders or analysts. 

When we think about students, they have to learn to work with the newest possible tools. The business and military environments require flexibility and effective tools. The purpose of studies is to give a person the capacity to operate in real-life business and technical environments. Nobody sits in school forever. 

We know that some students are cheating. But those students cheat anyway. That means the Chat GPT is a system that requires an honest attitude. Students are cheated throughout history. The most common way to cheat in studies is to hire some other person to do their work. And that means the AI just gives that possibility to people who have no money and relationships that make essays for those students. 

The Chat GPT and other similar algorithms are a challenge. But people must just respond to that challenge. They must learn to use those new programs because they are necessary tools. The Chat GPT and other similar applications can already used for making military systems. And Ukrainian army uses those applications for the R&D of their equipment. 

Who work with mechanical areas in computers and especially programming technology. When we are talking about the end of coders we are talking about the end of the era of low-paid one-time-used workers. The Chat GPT and its "family algorithms" like Bing are tools that are making prima-code very fast. And that's why they are the ultimate tools for programming. 

When we think about AI and its abilities we must remember that only imagination is limited. The fact is that AI is the tool that will turn everything around. It's a game changer in business, engineering, and war. The AI-based metaverse applications have many possibilities that even their developers cannot predict. Maybe in the future, we will live in a metaverse that interconnects multiple physical and virtual systems into one entirety. 

The 3D printer systems that can connect with AI can make everything. There is a possibility that the metaverse is a matrix where people can use virtual characters or they can use physical robots as external bodies. Those external robot bodies can turn all vehicles and aircraft into robot systems. 

The BCI systems can make it possible for people can see things like animals see them. The BCI can transmit things that things like birds are seeing. And that thing can turn every single animal into a biosensor or biorobot that can be used in many missions in scientific, law enforcement, and military areas. The thing is that the metaverse along with BCI means that people can live in the virtual world. Architects can see what their house looks like in real places. Aircraft and car designers can give instructions for AI. And that thing makes models by following those instructions. 

The AI-based design tool makes it possible for people can make customized cars and other vehicles by using simple design tools. If we interconnect that design tool with a 3D printer system that follows orders and makes it possible to create customized vehicles and other merchandise for customers. 

The metaverse allows customers to see the product in the natural environment. The vacuum technology where that printer operates allows them to create high-class, high-temperature products. Also, new carbon fiber- chromium-steel composites are making the new hardness to those materials that the high-temperature 3D systems can use. 

And of course, people say that AI and combat robots are not humanitary weapons. The fact is anyway, the purpose of the military is to be effective. Without killer drones, Ukraine would fall. The thing is that those killer robots are effective tools for non-humane purposes. And war is a non-human action. But if the nation wants to defend itself it must have effective military forces. 

https://scitechdaily.com/new-study-chatgpt-outperforms-university-students-in-writing/

The AI as an artist.

What is special about the painting above this text? The thing, that makes it so special is that the "painter" behind the image is the AI. AI is one of the most interesting and fastest-advancing tools in the world. The next-generation AI can be productive. 

It can have virtual imagination. Which means it can interconnect existing datasets. AI is not as versatile as humans. But the AI can play chess better than humans or operate more effectively than humans in a certain area where the system needs a limited number of datasets. 

The new area of AI is the new creative AI applications. AI as a painter is not a bad thing if the person wants to win things art like competitions. The AI can search for information on what kind of paintings people are willing to see. AI can use many tools for that purpose. 

And the most effective is the wall where are images of famous or free paintings. Then the AI observes what images people will click larger. And then, the system can calculate how long people spend with some images. After that, the system can connect the components of the most liked paintings, and then make its version of that thing. 

How accurate results the AI can get depends on the data sources. If the system has access to the user's web camera and it can make them use microphones. And make them comment on those images so the AI can search for the changes in the voice. And especially where the person looks for see where the person looks at. And then the system can interconnect those most pleasing objects into one work.

AI can make better work applications than humans. In this case, the system must only see what kind of things please the consultant. 

Creative AI is an effective tool. It can make paintings and drawings by using a certain limited dataset. And that kind of tool can make it possible to cheat people who elect people to the workplace. Labor consultants are people who are reading many job applications in a day. So if the AI has access to the computer of the employment service the AI can search what kind of applications those consultants are open to most, and how much time they spend with the application. 

And then how many of those job applications are bringing interviews? Then the AI can search for components that please the consultant. And after that. The AI can render the image to please the consultant and then collect the components for an application. That should bring the interview. The applicant must just give parameters for the AI like what are the strengths and skills that the applicant has. And the AI modified those things and photographs into nice-looking applications. 

Image: 

https://www.nytimes.com/2022/09/02/technology/ai-artificial-intelligence-artists.html

https://onlyimaginationlimitsinnovation.blogspot.com/

GPS and artificial intelligence are the ultimate combinations.

  

Artificial intelligence along with the GPS can make many things more effective. Artificial intelligence can observe warehouses, and if storages are low the AI can order replacements. The AI can also observe where the cargo is traveling and locate each point of thing by using the GPS. The GPS can install on the computers like laptops. And that allows the authorities to know all the time where their stuff is. 

The GPS can install in cars and car keys and the GPS can help to locate almost everything that flies or travels by railroads and what is at the offroad conditions. The GPS can help things like robots and drones take their places in the entireties like drone swarms. The GPS allows the robots to navigate freely in their operational area. 

The GPS is one of the central components in modern military systems. The GPS can deny the attempts to steal the grenades. But the same GPS can be integrated into the guidance systems of those grenades. The GPS-guided grenades and bombs are extremely high accurate weapons. 

The GPS makes it possible that the smart ammunition can detonate precise right point and right altitude. If the mobile howitzers and the GPS systems of the grenades are communicating the howitzer can shoot the target at just the precise right point and moment automatically. If the Javelin-type missiles are equipped with both AI and GPS. That thing makes it possible to shoot them over the buildings. 

The image of the target. And its location can be given by many separate systems. From satellites to man-portable cameras or even mobile telephones can use for that purpose. When the missile flies to the target its optical seeker looks at it. And when the visual seeker gets a positive ID the optical image-homing system will drive the missile to the target. 

The accuracy of the GPS depends on how often the system updates the target's location. In GPS-based weapon systems, the accuracy of the GPS is the key element. The best choice is to use the small-size lightweight GPS that is put on the top of the tank. The fast-updating GPS makes it possible to shoot moving targets. Or put on the clothes of the targeted person.  

That GPS can install in the right place by using small robots or agents that can put that GPS in the target's pocket. In the last case, the shooter can use the rifle where is the GPS for targeting the target. 

The GPS is the key element also in the most modern rifle grenades and smart rifles. If the location of the enemy position is known the shooter can simply shoot the intelligent rifle grenade over the target. And there the system will detonate that ammunition. The pressure strike of the RDX explosives is extremely powerful. 

The GPS can also make it possible to aim the rifle in the right position. The modern GPS is very small and the bullets can also be homing. They can be equipped with GPS. And they can fly to the target by using a similar system to the GPS-guided grenades. 

If the system knows the location of the target. And the rifle makes it possible to aim the rifle by using a simple screen. There is a diagram that the shooter can use for aiming the weapon. 

Unless a well-known tracking point, this system uses two GPS. The shooter will get the distance and position to the target. This system can use in the GPS telephones. 

The aiming image can make on the screen of the telephone. Or the shooter can use the screen in the smart scope. The bullets can be small-size missiles that are equipped also with GPS. 

When the weapon is in the right position two crosses on the screen are at the top of each other. And that makes it possible to shoot the target with very high accuracy. That thing makes the sniper rifles and small munitions more lethal than they have ever been before. 

Images: Pinterest

https://likeinterstellartravelingandfuturism.blogspot.com/

Good and bad AI.

 

The thing, that makes AI so powerful is that it's the computer program. That system can operate on any suitable platform. So it can interconnect multiple devices together. 

That means if the AI software is ready. That thing can download to any computer in the world. AI plays a very important role in the world of tomorrow. Those algorithms are controlling the use of electricity, the more and less autonomic cars and new types of weapons can program by any person who knows how to make the computer program. 

AI is making society also vulnerable to cyber-attacks. And in the AI-driven world, the computer virus or malicious code can be dangerous because the AI can affect multiple things. The AI can observe large areas, and it can connect all devices that are operating in the same network segment to an entirety that can share information without limits.

And that makes those things so powerful. The AI can operate the entirety of the traffic. And that makes driving more economic and comfortable than it's now. The AI can also slow down servers and disconnect the microprocessors at the time when a thing like an internet nexus or root servers are not in full use. That thing makes them more economic and environmentally friendly. The AI can also make home operations more energy-friendly than it's now. While the person is at work, the AI can decrease the room temperature. And it can turn off lights when everybody is outside. 

The AI can also make reports to the owner of the house if somebody opens the door. Also, algorithms can detect things like when the grass is too long and order the robot to cut it. There is the possibility that in the house operates a human-looking robot, that will get information when its master will come home. And that robot can start to make dinner when its master comes home. The robot can time its actions so that when its owner comes home that person feels comfortable. The robot can also act security guard. But the problem with robots is that they are multi-use systems. 

When we are thinking about the drones that are carrying food to homes. We do not always remember that the same drone can drop bombs. The drone can get to the point where it should lay its cargo from the application that tells the GPS coordinates to the drone. The same system that lays the cargo can easily be modifiable to drop bombs. 

Artificial intelligence is a computer program as I wrote earlier. That means that even small size devices can use complicated computer software. And things like Javelin missiles are a good example of AI-driven small-size weapon systems. 

The Javelin can also install under small drones and it can use in remotely operated shock systems. The regular aircraft can carry that thing deep behind enemy lines. And it can be extremely dangerous. 

The power of AI depends on the computer code but also the power of the electronics and especially the CPU are putting limits to use that thing. But the small-size missiles like "Stingers" can have complicated homing programs. And that thing makes those systems more effective than ever before. 

But cyber defense is extremely important when the AI-driven weapon systems are operating. The computer viruses that can slip into the weapon make it useless. 

https://likeinterstellartravelingandfuturism.blogspot.com/

The next-generation quantum computers can use silicon-photonics interaction.

The next-generation quantum computers might be electron-microscope-size systems. And maybe we see the table-size quantum computer systems sooner than we expect. The new algorithms that are used for calculating quantum energy and quantum gravitation are extremely complicated. They require quantum computers for working. And that's why the development of the new quantum computers is important. 

The silicon carbide-based qubits or quantum computers can be the next-generation tools for quantum computing. Quantum computers are allowing to make AI-based solutions that are too heavy for binary computers. 

The silicon carbide can stabilize by using a low temperature or high pressure. And the combination of the pressure and low temperature allows making the long-term quantum entanglements between those atoms. 

Silicon carbide-based quantum computers could be fast and powerful systems. The problem with those so-called solid qubits is that they need adjusting and tuning for making the superposition and entanglement. In the silicon-photonic type of quantum systems, the photonics-based quantum entanglement will transmit energy and information to the silicon atom.

That will make superposition and entanglement with other atoms around it. That thing makes it possible to make more compact and more powerful systems that can operate at room temperature. The problem with quantum computers is that the system can maintain the quantum entanglement for only a limited time. 

The thing that makes quantum computers a little bit complicated is that the qubits must stabilize. The qubits stabilization can make by cooling the quantum computer to extremely low temperature. 

Another way to make the stabilization is to use pressure. Because silicon carbide is a solid material it can press by using metal plates and liquid. Or in the most exciting visions, the quantum systems can use magnetic pressure that stabilizes the qubit. 

The system can use the magnetic field to pull the metal plates to both sides of the silicon carbide plate. And that system can make the extremely stable condition in quantum computers. In the fusion tests, the researchers use the same technology. The stable magnetic field can stabilize qubits. And then the superpositioned and entangled photons can use to transmit data to that system.

After that, the quantum system must reset. And that thing limits the use of quantum computers. The silicon-based quantum computers can be the system where is one or two silicon(carbide) plates. There might be tubes where the photons will be superpositioned and entangled. Then the photons will transmit data to a silicon-based system. There are two possibilities to make the quantum entanglement in silicon-carbide. 

One is to make the superposition and entanglement in silicon carbide benefiting one layer. Or there is another way is to make that superposition and entanglement between two silicon carbide layers. Because silicon carbide is a solid material the stabilization of that material can create by using pressure. The combination of magnetic pressure and low temperature can use to make superposition and entanglement between atoms for a longer time than ever before. 

https://www.notebookcheck.net/Luminous-Computing-to-build-the-most-powerful-AI-supercomputer-with-silicon-photonics-technology.607717.0.html

https://phys.org/news/2022-03-quantum-molecular-energy.html

https://scitechdaily.com/faster-technique-for-resetting-qubits-in-quantum-computers/

https://scitechdaily.com/new-analysis-shows-promise-of-quantum-spintronics-based-on-silicon-carbide/

https://scitechdaily.com/researchers-set-record-by-preserving-quantum-states-in-silicon-carbide-for-more-than-five-seconds/

https://scitechdaily.com/scientists-discover-secret-sauce-behind-exotic-properties-of-unusual-new-quantum-material/

Image: https://phys.org/news/2022-03-quantum-molecular-energy.html 

https://thoughtsaboutsuperpositions.blogspot.com/

The fire ants can give ideas for swarming robots.

The ants and other swarm operating bugs are used as models for swarming robots. When we think of the independently operating drone swarms controlled by artificial intelligence. Those systems did not exist 10 years ago. Even the small-size quadcopters and other drones can operate as a swarm. 

The nuclear-powered drone swarms can operate in the atmosphere of other planets. They can operate underwater conditions in the Marianna Trench. And the icy oceans in the Jupiter and Saturn icy moons. But they can also be new and powerful tools on the battlefields. 

The thing that makes this thing possible is the network-based system called "distributed calculation". Developers created this system for making animations for computers. The idea is that the computers can share their capacity and resources with other computers. 

The network-based system allows making the drone swarm. That can connect data that their sensors are delivering. The drones can stay on their operational area as the plate. When one of those systems is seeing something interesting. It shares that data with all others. 

Small-size quadcopters might have only one or two sensors like regular CCD, infrared, or some kind of radars. The quadcopter can also carry seismic or acoustic sensors. That means those drones can lay to the ground and feel the seismic oscillations. 

Those systems can also eavesdrop on enemy speech. The quadcopter can also have chemical detectors that allow them to find the ammunition or fuel dump. The thing is that the large numbers of those swarming robots are replacing the quality. 

It's possible that in the future. There are three types of aerial systems. Or actually, those systems already exist. 

1) Simple, one mission drones

2) Multimission drones

3) Manned systems

Those systems are integrated as an entirety. The network-based systems allow sharing the information between components of the military systems. The aerial systems are also integrated to the part of the entirety where the sea and land troops are also participating in the network-based battlefields. 

x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x

The hierarchy of aerial systems can be like this:

1) The simple, and cheap one mission drones. That is pulling missile fire away from the more complicated systems. Those drones can also be used as miniaturized killer robots. Those quadcopter-looking systems or loitering ammunition called "kamikaze drones" are the systems. 

Those terrorists are using most probably. The problem with those systems is that they are thought of as cruise missiles that are making more curves than normal cruise missiles. 

2) Multi-purpose drones can be remotely controlled systems. Or independent operating AI-driven systems. Those systems can use as remote-controlled or independently operating attack aircraft. 

Or they can have the internal warhead. They can operate alone or with manned aircraft. The loyal wingman drone's mission is to pull the missile fire away from the manned aircraft or attack against missile stations. 

The drones can also make the plate under their aircraft makes more difficult to shoot them down. The quadcopters can have infrared lights that give masks for stealth fighters.  

And they can spray iron powder into the air making it difficult to see the stealth aircraft. That is behind those drones. The stealth fighter can make the strikes by using satellite-guided weapons. 

3) The manned aircraft.  The loyal wingmen drones can be used as "kamikaze drones" or remote-controlled auxiliary jet fighters. The controller of those drones can sit on the back seat of the stealth fighter. Those drones can share their data between the computers of the jet fighters.

But they can also be 1000 kilometers away in the command centers. That thing might not be very sportsmanlike. But also in the Spartan army, the idea was that if somebody attacked one Spartan, the another would hit that attacker to back by using the spear. 

x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x-x

Social bugs like ants are giving data on how the system should operate as swarms. The swarming robots can close the route of the jet fighters. And the thing that makes them more powerful than regular sensors is that those quadcopters can fly in jet engines. 

When we are thinking the technology behind those quadcopters is that the individual member of the drone swarms must not be versatile. The entirety is versatile because those quadcopters or other types of drones might have different types of sensors. 

The drone swarms are complicated things. They can produce at the combat zone by using 3D printers and automatized manufacturing platforms. Those systems can detect things like missiles in seconds if they are in position. Drones can deliver from satellites and the thing is that those systems can assassinate individual persons. 

In those systems, the image recognition system will locate the target. And the small drone will drop from the satellite. The heat core denies the burning of that system. The quadcopter can be equipped with a regular pistol that makes it a very suitable and dangerous system in the wrong hands. 

Drones are effective in conflicts. They can make sudden attacks from the sky by using smart weapons. This thing makes them feared and brutal systems. But the defenders of the drone attacks are saying that the purpose of weapons is to fear enemies. Some people are saying that drones are easy to shoot down. 

Or they are easy to affect. If we think that the drone that costs the same price as some car hits by a missile that price is over a million euros that thing can be acceptable. One of the purposes of drone swarms is to pull missile fire to them away from the complicated manned aircraft and drones. 

But when we are thinking about the situation in Ukraine where are no swarming drones we must ask one interesting question. If drones are easy to destroy or jam. 

Why don't the Russians destroy those drones? Why do they allow the Turkish-build drones to fly around their vehicles, and destroy them? That is one interesting thing to think about. 

https://phys.org/news/2022-03-physics-ant-rafts-swarming-robots.html

When the AI is connected with the CCD camera, it can give new results about the observations.

The new AI-based technology can search for the bottlenecks of traffic and other things like that. The system can also search the things like too-long vehicles from the images. If some roads are too narrow for some type of vehicle the AI can tell that thing to operators. 

And then they can guide those vehicles to another route. The AI can compare massive datasets that are collected from multiple sensors. And then it can make decisions that can make things work better. 

The thing where the AI is the best. Is comparing the data of large data masses. The AI can see if there are some anomalies in the image. The AI can compare the images stored in hard disks. And then it can find the differences in those images. The system detects the smallest possible changes in brightness by comparing the images pixel by pixel. In that system, the image is taken at the same angle and same spot. 

That allows operators to see. If the object moving or if there are some other changes. This system can use in recon missions or astronomy. The idea is that. The camera is taking images that are stored on the hard disk. And then the system compares the images that are stored in the mass memories. That thing makes those systems more effective. Because the system has more time to make its duty. 

When we connect that system with fuzzy logic we can make a system that can compare objects very effectively. At first, the system can use fuzzy logic. This means as an example 80% of pixels have a match with a certain object. And the system tells that object is a van. 

Then the system can send that data to an operator. But it can also store the image on a hard disk. And then the system starts to search the images from its archives. To find out the mark and model of the van. This means the system can give interim information to the operator. 

The operator will get information that the thing that bypasses the camera is the van. And then after that, the system can search the mark and model of that vehicle from the database. This is the thing where computers are the best. 

https://scitechdaily.com/using-artificial-intelligence-to-find-anomalies-hiding-in-massive-datasets-in-real-time/

Image: https://scitechdaily.com/using-artificial-intelligence-to-find-anomalies-hiding-in-massive-datasets-in-real-time/

Quantum computers are taking the place of the number one simulator in the world.

 

Image 1) 

The image above this text portrays an advanced quantum computing system. Some of the quantum computers of tomorrow can use simply multi-channel radios. For their internal communication. In that system certain channel is a certain state of the qubit. And also the strength of the radio signal can determine the state of the qubit. That means a certain energy level is a certain state or level of the qubit.  

The thing that quantum computers are more effective tools to simulate and test quantum mechanics than binary computers is no surprise. The power of quantum computers is so superior that they can make the same calculations that take months by using binary computers in seconds. Quantum computers are the ultimate tools for creating new types of materials and enzymes, and they can map the DNA. 

And quantum computers can also use to control plasma at the fusion reactors. The thing is that quantum computers can also control nanomachines. The AI that is used to move nanomachines can run on the quantum server. That allows operating billions of nanomachines at the same time. Quantum computers can also control the data on the internet. And they can search and detect malicious code. 

The new solutions in nanotechnology require complicated AI software. And the power of quantum computers makes it possible to drive hard and complicated code and connect the data that is collected from sensors. 

The bright future of quantum computer-based AI means that when the number of the quantum computer increases their prices will get lower. The error detection in quantum computers is a similar process to binary computers. The system uses two or more data handling lines. And if those lines get the same result there are no errors. 

Image 2) Bacteriophage

Quantum computers operate with nanomachines by using similar WLAN systems with regular computers. The communication with WLAN systems will happen through binary computers that transform qubits to radio impulses. The thing is that by using the multi-channel radios. Is possible to send data in the form of qubits. In that case, every channel is a certain state of the qubit. And that makes the WLAN more effective. 

The nanomachine can be the genetically engineered bacteria that are controlled with microchips. The system can use bioelectricity or nano-size batteries for creating energy for those microchips.  The nano battery can be a virus where is small gold bites in the feet. When that gold hits with lead or some other base metal that gives electricity. That means the nanobatteries can create electricity also from hemoglobin. 

Image 3) Microchip on graphene.

The small-size or nanotechnical microchips require a new type of power source. The problem with nano-size microchips is that they need an extremely well-calculated energy level. If the electricity level is too high. That means the electric flow will jump over the switches. 

The newest microchips can create energy from graphene. That system captures the energy of the thermal movement of graphene. And that thing allows using that system also in the dark places. The IR radiation is one way to make the energy for that system. But there is the possibility to connect that graphene with miniature resistors. 

Or it can connect with living cells. When those cells will get nutrients their temperature will rise. And the thermal movement of graphene can cause by all possible thermal sources. That thing can use to control the nanomachines. If some medical nanomachine operates inside the human body it requires the WLAN system to communicate with computers.

https://scitechdaily.com/quantinuum-h1-quantum-computer-beats-classical-system-at-game-designed-to-test-quantum-mechanics/

https://www.thebrighterside.news/post/physicists-build-circuit-that-generates-clean-limitless-power-from-graphene

Image 1)https://scitechdaily.com/quantinuum-h1-quantum-computer-beats-classical-system-at-game-designed-to-test-quantum-mechanics/

Image 2)https://en.wikipedia.org/wiki/Bacteriophage

Image 3) https://www.thebrighterside.news/post/physicists-build-circuit-that-generates-clean-limitless-power-from-graphene

https://thoughtsaboutsuperpositions.blogspot.com/