Computing is hardware and software.

Powerful computing requires both hardware and software. 

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

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

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

The new AI bases the human brain. 

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

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

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

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

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

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

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

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

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

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

https://artificialintelligenceandindividuals.blogspot.com/

The mixed reality is a powerful tool for many things.

The idea of mixed reality is that this kind of system can combine the real world with VR (Virtual Reality). The simplest idea is to make the robot that sends things what it senses to the controller. The robot's eyes would be the camera systems that are connected remotely to the VR glasses. 

The ears of the robot are microphones. And they are sending data to the gamer's headset. The touch sense is the pressure detector that sends the feel of touch to the data gloves. Then the operator can interact with the physical robot.

And that thing allows making safely many things that are very risky for the people. If we are thinking about the cases like nuclear accidents. And sadly battlefields those robots can use many types of communication systems. If the robot is inside the powerful electromagnetic field that can close the radio communication it can change to use laser-led for sharing data. 

There are many types of interfaces that allow robots to operate very effectively. Those systems might be all-time interactive. That system requires non-stop guiding. But there are also learning systems that are making it possible to teach things to robots. In that process, the operators can use the virtual characters. That means the system would look like a computer game. 

Those kinds of systems are things that are recording the actions that the operators are doing. When the operator is made the action the system asks if the operator is satisfied. And of person is satisfied that thing stores those movements and other actions in the system's database.  

The things that are stored in the computer's database determine the skills of the machine. The speech-to-text applications which can dump those texts to the database or interface allow giving spoken orders to the robots. The database can make by using computer-game-type applications. And then the actions that are stored in the database by using the virtual character can download to the robot. 

So the operator can create the necessary action series to the database and then give the name for that action. That word can be "rescue" or "attack". Then the operator can simply give orders to the robot by using the name of that database. If something is forgotten from the action series. Or there is no match in the database for a certain situation. The operator can change to use intensive control like datagloves and joystick. 

https://scitechdaily.com/upgrading-the-space-stations-cold-atom-physics-laboratory-with-mixed-reality/

https://visionsofbrightfuture.blogspot.com/

New artificial intelligence learns by using the "cause and effect" methodology.

Image I

The cause and effect methodology means the AI tests simultaneously the models that are stored in its memory. And when some model fits a case that the AI must solve, the AI stores that model to other similar cases. And in that case, the AI finds a suitable solution for things that it must solve. It selects the way to act that is most suitable for it. The most beneficial case means that the system uses minimum force for reaching the goal. 

The "cause and effect method" in the case that the AI-controlled robot will open the door might be that the first robot is searching marks about things that help to determine which way the door is opening. Then the robot first just pulls the door and turns the handle. Then the robot tries the same thing but it pushes the door. Then the robot can note that the door is locked and find another way to get in. 

But if a robot must get in it might have a circular programming architecture. If the robot cannot open the door by using the methods that are found in the first circle. It will step to the next level and use more force. And then the robot will try to kick the door in or some other way to break it. The idea is that robot always uses minimum force. But the problem is how to determine the case. The robot is allowed to do in cases that it faces the door. 

There are cases where the cause and effect methodology is not suitable. If the alone operating robot would be on ice it cannot test the strength of the ice. But if the robot group is operating under the control of the same AI which operates them as an entirety the system might use the cause and effect methodology. 

There is the possibility that artificial intelligence is located in the computer center. And it can operate radio-controlled cars by using the remote control. So the moving robots are dummies and work under the control of the central computer. There is the possibility that this kind of robot system is someday sent to another planet. 

Image II: 

The model of the large robot groups is taken from ants. The ants are moving robots. And anthills are the central computer of the entirety. 

The cause and effect methodology would be suitable for the groups of simple robots that are operating under the same AI. Those cheap and simple moving robots are easy to replace if they are damaged. And the AI that operates those sub-robots can be at the computer center and control those robots by using regular data remote-control systems. 

The supercomputer that drives AI would be at different capsule or orbiting trajectories. And the simple robot cars are operating on the ground. The system might have two stages. At the first stage. The main computer that orbits the planet will send the instructions to the ground-based computers. Those are in the landing capsules. And then those capsules are controlling the robot cars and quadcopters. Keeping the moving robots as simple as possible. Is making it possible to replace destroyed individuals from the group easily. 

The AI sends the robot simultaneously to the route over the icy terrain. And the robot tells all the time its condition. If the ice breaks under it can send the data to its mates about the strength of the ice. Robots are sending information about their location all the time. 

The system knows the last position of the robot. And the strength of the ice can measure by using the last images of that robot. The system knows to avoid the place where ice collapses. And the next robot knows to avoid that place. That thing means that the cause and effect methodology is suitable for large groups of robots where individual robots are not very complicated. 

Artificial intelligence can operate remote-controlled robots. And that means the robots that are forming the group are simple. They might be more remote-control cars than complicated robots. The central computer that is operating the entirety is intelligent. The reason why those robots have only necessary sensors is that they are easy to replace. And maybe robot factories can make those robots in the operational area. 

()https://scitechdaily.com/ai-that-can-learn-cause-and-effect-these-neural-networks-know-what-theyre-doing/

Image I: https://scitechdaily.com/ai-that-can-learn-cause-and-effect-these-neural-networks-know-what-theyre-doing/

Image II: https://upload.wikimedia.org/wikipedia/commons/thumb/1/1d/AntsStitchingLeave.jpg/800px-AntsStitchingLeave.jpg

https://visionsofbrightfuture.blogspot.com/

Are we intelligent enough to see the intelligence of our creatures?

When we think that machines are not intelligent, we must find something that supports this thesis. The most usual argument is that we are putting limits on those machines. We are regulating the data what the machine gets and how it uses that data. So the machine cannot become more intelligent than we are, because we can stop it if it gets too much data for use. And that thing could be the worst mistake ever made. 

The creator of that idea didn't probably know about the internet and autonomous machine learning. Nowadays is possible that some algorithm is searching the data and store it. Without the user don't recognize it. And that thing makes the possibility that the machine knows things that the users and programmers are not stored in that system in purpose. 

Can computers be more intelligent than humans? Sometimes people are arguments that the machine cannot be more intelligent than humans by using the argument that humans are created machines, and that's why the machine cannot be more intelligent or smarter than their creators. The case is like can the descendant be more intelligent than their parents. 

Sometimes we are asked, "are we intelligent enough to see the intelligence of other species?". We are living in the "sapiens centric world". That means that we are thinking that there cannot be another intelligent species in the world or even the universe. The SETI program and search for extraterrestrial civilizations is accepted as science. Before that those things were just stories. 

Does the ability to win humans in chess make AI more intelligent than humans?

The thing is that artificial intelligence is winning humans in chess very easily. The new learning machines that can create new tactics and strategies on the chessboard are invincible. Those systems are calculating every each movement of those buttons very effectively. But those systems are also recording tactics that other players are using. That system makes the database by using the game records, and then it can mix those databases for selecting the most effective movements. 

But does that ability make the AI smarter than humans? Are the things like chess the description of intelligence? Or how we are describing the intelligence? The things like making the mathematical or some other formulas or modeling the quantum mechanical rules are sometimes described as "intelligence".

But the people who are working with those kinds of things might not even have a driver's license. That means those people cannot do everything in the world. Even the smartest mind in the world has a limit, is the thing, how we are thinking. Or is there some kind of limit? The theoretical knowledge doesn't necessarily mean. That there is some kind of possibility to make practical solutions to every problem modeled by theorists. And being a good quantum physicist or artificial intelligence researcher doesn't mean that those people are good chess players. 

()https://visionsoftheaiandfuture.blogspot.com/2021/08/are-we-intelligent-enough-to-see.html

Can computers steal your memories?

Can computers steal your memories?

The computer has not own will

In this text, I will use the words "computer wants" and at the beginning, I must say, that the computer itself doesn't want anything. If the computer would kidnap some people, it makes that thing, because the program inside it would translate it's codes that it must trap somebody, and that means that the computer itself doesn't make mistakes.

Every mistake, what computers make are made by programmers. So if the computer would be programmed to require some kind of identification, while a person would go through some gate, it would close everybody who has not that mark outside. Same way if the computer, what is connected to the robot is programmed to take the fingerprint from every person on the street, the robot would follow the orders and make that thing. Robots ever apply for orders, what they get.

They do exactly, what the programmer would do, without caring about the things like how much trouble the order would cause. And this thing makes computers very effective for things as military actions. In that world, the actor must do exactly what superior would say, and they must not apply anything. But if the opponent would break the algorithm, it can predict every movement, what the opponent will do.

This makes difficult to make programs for autonomous drones

And this is the thing, that makes the creation of the autonomous drone very difficult. When the opponent would learn, how the drone moves, when it's under attack, shooting down of that thing would be quite easy if the opponent would know, what direction the drone would turn.  Have you seen the movie "Tron"? In that movie, the hero would be trapped in the computer memory. But could that thing be possible in real life? Could computer copy our mind or thoughts in its memory, and turn them to part of it? And why it would make that thing?

The thing is that if the high-power radio wave would travel through the human brains, it would start to oscillate with the same amplitude with the electricity of the nervous system if the frequency of the radio wave is the same with the electricity, what travels in the nervous system, and that electromagnetic radiation can be detected by using normal radio receiver. The system can also use highly targeted radio ray, what can go through the pineal gland, and that thing can be used to record the electric phenomenon of the pineal gland. This organ has been connected with abstract thinking and imagination.

What if computers steal our imagination and ability for abstract thinking?

So the computer steals our imagination. And this is why computers would do that thing, and record the electric phenomenon of the nervous system. They need our productivity. The human being is the only organism on our planet, which has the ability to abstract thinking. And productive thinking is the ability to transform the abstraction to the image on the paper, or ability to create the plans and construction orders from the mind. And this is the thing, why computers would need humans.

Even the most intelligent and advanced artificial intelligence is hopeless if it cannot produce new things. And the thing is that artificial intelligence cannot create anything new. Computers are playing chess better than most of the people, but do you know, why chess is used in the tests of artificial intelligence? In the real world, chess has quite a limited gaming area and strict rules. This makes the programming the chess program quite easy if we want to compare that process with the process, where the computer must drive the car in traffic.

Why computer is better chess-player than we are?

The thing that makes artificial intelligence so effective chess-player in the world is the capacity to calculate things very sharply. It can calculate tens or even millions of ways to move the buttons on the chessboard, and it can make gaming models by using those calculations. In this case, the actions of artificial intelligence base the idea, that there are multiple models of the game stored in the memory of the computer, and it would select the best, what is possible in that case.

Why a computer cannot operate that way in everyday life. While the car is driving in traffic, in that environment it is strict and clear orders, but there are many things, which are called "surprising variables". So if we are programming the computer to follow traffic lights we must remember, that some people might have a red or green skirt, and that's why the system is extremely hard to program. And traffic is a really good example of the environment, where the reality is away from stimulations, models, and theories.

But if we would want that robot would make the same things, what we are doing in everyday life, that kind of thing would be too hard to make, because for that thing is needed so many models, that we cannot create them all, and how many programmers would even know them all? What kind of things would a person do, while going to shop? When we would think the case, that computers would want to make some kind of designs, that thing would turn really difficult.

What if computers could benefit the brain waves during the creation process?

So what if we want to make a computer or artificial intelligence, what designs the building, we must understand that the reason, why architects are hired is the please the customer. So how a computer can please its customer? The answer is simple, the brainwaves are telling, does something please the person, who is sitting in the front of the screen, and then the computer can start the creative process.

That process is based on the methodology, where the computer would use simple forms like triangle, square and circle at the beginning of the process. And then the computer would put more and more details in the image. During that process, the system would follow the EEG of the customer, and then it can select the forms and things, that would please the customer. In that case, the chair would have the radio-transmitter behind the head of the person, and the radio receiver would observe the changes of the EEG, what would be moved to that system.

Of course, the system would need data about the formulas and other rules for buildings of that area, but the solution might satisfy every customer on Earth because the EEG would uncover if we like or dislike something. But this kind of thing is the vision of tomorrow. And maybe someday the artificial intelligence would create buildings and act in development missions.

Image:

https://www.houseofbots.com/images/news/2704/cover.png

How to teach robots to follow spoken orders?

How to teach robots to follow spoken orders? 

The idea of machine learning is the same as the people way to learn things, and that's why computer game-style platforms are very interesting things to teach robots. The action or learning process is similar, what is used to teaching dogs. The robot must connect spoken words to some actions, what the programmer can do with it. 

And this makes possible to make robots, which are understanding spoken language. This method is suitable for every kind of robot, and the idea is that the words are connected to recorded actions, so when the programmers are teaching the robot to open the door, they might say "open the door" and then they would transfer to use the virtual workspace, where they can use data gloves and probably Virtual Reality glasses, and make the action by using the virtual movements by using character, what is similar what is seen in the computer games. After the system has been successfully recorded the action, that means that the command "open the door" would activate this kind of movement series. 

The machine learning means that the character, what is the thing that is controlled by a computer would say some words, then the character is moving and acting as the programmer would want. And then those words are connected to the actions, what the programmer has made for the character. 

Moving of the character can be done by using the game platform, and then the virtual character would be used to test the effectiveness of the movements, and then they can transfer to the robot, which will connect those movements and other actions to the words, what the person says. This kind of technology can also be used with combat robots. And those robots can follow the orders, what the commander says without excuse. 

This kind of robot would be very interesting in the many dangerous actions. And thing what makes character dangerous is that some game character would get the physical form. When we are thinking about computer games the programmer, who will make commands to those systems could use the computer games to selecting the most suitable series of movements, and then the commander must just select the most suitable movements and connect the voice command to that series of movements. 

When we are thinking about the actions of robots every kind of action is a series of movements. That means the system would just connect the movements to the command, and that makes that kind of robot very dangerous. The robot itself would not care, what kind of commands it would get, and if the voice recognition or other safety system accepts the command, that allows the operator to give the command "sweep that area", and then the robot will do everything, what includes in that action. So this kind of thing can be used in the Pentagon's terrifying new robot army. 

Image.

https://upload.wikimedia.org/wikipedia/en/5/50/Cylon.jpg

How to teach character in computer games?

How to teach character in computer games?

When we are thinking about machine learning, computer games would be the right place to test and innovate that kind of thing. Computer games are one of the biggest parts of the world of computers, and when we are thinking about artificial intelligence, what would be an effective tool for making those games more realistic, interesting and difficult, we must think the method, what the programmer would use when that person would make the character learning things, what are important in the game. The thing is that the learning of the character would happen by a very effective method, where the movements of the most successful player would be recorded, and then that data would transfer to the automatized characters. That means that the system might copy the master player to the virtual characters.

And then somebody would ask, how the master player would be selected. The answer is simple, in every scenario of the computer game are the character, what is controlled by a human, and the character, what is controlled by the computer against each other. Then the master would be selected by a very easy method. If the character, what is controlled by the computer will win, that means that the computer is master, but if the human player is winning, the character, what is controlled by a human is master. And the code of the game would order the system to use the movements of the master.

This means that the movements, that are recorded from the human users are transferred to the character, which is lost in the battle. When we are thinking about this way to increase the skills of the computer-controlled characters, we might think, that when the player would step in the virtual game board, and start to play, the artificial intelligence would record the things, what the player makes, and then transfers those actions to the characters, what are coming after fallen characters.

That means that the computer-controlled figures, what are coming later would have more complicated movements, than the characters what the gamer faces in the first moment. In this scenario, the gamer would use more complicated movements every time, when that person would be advanced in the game, and the idea is that the gamer would teach the solution, how to fight against the player.

This would make possible to create harder and harder computer games. The machine learning is one of the key elements in computing, and by using this kind of method, computer games would become very difficult. When the gamer would play the game, the movements and actions would be recorded, and transfer to the next characters, until the computer would win. This is one version of using machine learning.

https://upload.wikimedia.org/wikipedia/en/thumb/e/e4/Tetris_DOS_1986.png/250px-Tetris_DOS_1986.png

Machine learning and working life

Machine learning and working life

When the applicant comes to the house, that thing is exciting for both sides. The applicant would be exiting, how the works are done, but also how the working environment would treat that person, and does anybody even speak to that new worker. If a person leaves outside of the social environment of the workplace that will make the situation stressful.

And that will make changing the workplace more addictive. But also the employer has the right to expect something, and if the works are not done properly, that thing causes the need to end the career of the worker.

But what kind of person would be suitable for some work or workplace? That thing can find out by making master profiles of the applications of the long-term workers, and things that they are told in applications are very important. Then artificial intelligence might search the applications, which seems similar to those long term workers.

There are many things, what are telling that something is wrong in the working environment. One of those things is productivity. We can call many things by using the word "productivity".  If we are thinking about the coding company, what makes computer programs, artificial intelligence can search for things like errors in the writings, and also the number of marks, what are written.

When the error level would rise or the number of wrote letters is decreasing, artificial intelligence would recognize that thing. And if those changes are stable, there is something wrong, and something disturbs the work. But there are some other marks what artificial intelligence can register. One is the time, what person keeps the mobile telephone in hand after phone calls. That means if the person would keep the mobile telephone longer in hands after a certain phone call, that means that there is something special of that call.

But the thing is that artificial intelligence detects many other things, what we cannot even think. The system can detect the changes in the form of the body, which might tell about negative changes in the lifestyle.

The artificial intelligence can detect if those people have sweat on their faces. Also, the movements and the speed of the individual people can be detected, but those highly sophisticated systems also detect the route of certain people. That tells if the person avoids some areas in the house, what will uncover the problems, what that person might have with other workers. Artificial intelligence can send reports of that behavior to security responsible officers, who would decide the things, what they are doing next.

Machine learning and real-life solutions

Machine learning and real-life solutions

The virtual chat, which is controlled by artificial intelligence is one of the innovations for modern research and developing. The idea is based quite a simple idea to connect the speech to text and voice command application to research and development tools. This means that when some people are making as an example of the seminar about this thing, the software would turn the speech to text, and the system can collect every kind of data, what can be connected to those texts or speeches, and then the computer would follow the chat. The system would compare the written words to the database, and then give the answers, what might seem to given by the real human.

But when we are thinking the artificial intelligence as the project manager, the thing is basing the database, what is created in project meetings and planning discussions. The base of that thing is so-called negative brainstorming, where all threats and problems, what project can face would be located and uncovered, what makes possible to predict the things, what can cause problems or danger the projects.

Then the real project would be made, and at the same time the data of that project can be collected to another database, and those databases can compare for uncovering the miscalculations, and finding the reasons for that. And then those data can be connected to the matrix, which can be used to help other projects, and the automatization in that kind of thing makes decisions easier.

When we are thinking the artificial intelligence, we must realize that the data is the thing, that makes that thing effective. Machine learning is addicted to the ability to get the data and compare it with the real situation. Those kinds of complete and very large databases are really hard to make, because if we want to create artificial intelligence, what can control projects and give answers, what would solve problems, what project faces suddenly.

What kind of programs those things might be? The answer is machine learning. The thing is that when the database is growing, and the stored data would be more complete, the machine can operate more and more independently. The idea of machine learning is that those machines learn things like human beings, and this is the way, how we are learning things. When the database of successful and unsuccessful actions is made sharply that kind of system would turn very independent.

But it can do those decisions only in the sector. If we would want to create the database, what allows robots to operate independently in the normal society, that kind of computers and robots would need extremely large databases for successful operations. And this kind of system, what are automatically recording things like vehicle movements in some airports and then those systems would learn from the solutions, what human is done.

And the problems are that the controlling traffic at some airport than making an independently driving car. But those systems operate in the areas, where are strict regulations. That kind of system is far away from robots, what can live in a normal society, and live there like humans. Even if we would make the machine-version of the dog, what will go shopping for us, we are facing problems, and one of them is, what to do if the price, what is given to that robot is wrong?

One of the biggest questions is, what would the machine allow to do, if somebody attacks against it? When we are thinking the case, where human being attacks against the robot, what looks like a human, we would think that the person would do the same thing for a real human. And that thing is offering things, that in the future police would use the decoy robots, what are looking like helpless people.

If somebody will attack them that person would be arrested by those robots, which might also be used for intelligence and combat operations. That kind of system might be advanced, and also one version of the robot soldiers of tomorrow.

The problem with high power calculating

The problem with high power calculating

1. The national security asset

The problem with high power data centers is that the people, who can come from the hostile nations would use the datacenters in their own purposes. That means that they can come and create their own stealth fighters by using the datacenters of the western nations.

And in other hands, scientists need high-power data machines and computers. If we would want to make top science, we must have proper tools for that thing, and that is the reason, why the high-power datacenters are sometimes problematic tools for the people.

2. There is a limited time of those systems

There is, of course, limited time in those systems, and that means that there is a possibility. That somebody would use those systems things like mining the bitcoins or calculating the probabilities of the stock marketing. There is a possibility that the computer programs, which will predict the behavior of human beings are tested with the stock marketing.

This kind of programs are collecting data from the stock magazines and the sales, and buying in the course, and then the system would create a database by using the public data. And by using that data, the system tries to create predictions, what are the actions of the dealers after some certain actions.

3. The idea of a hybrid version of the learning process is the human operator gives instructions to artificial intelligence during operation

The method, what artificial intelligence uses in the learning process is the hybrid learning. When artificial intelligence is collecting the data and makes some solution, it asks the acceptance from the human operators. When the human operator denies some solution, the idea is that this operator would explain the computer, what was the error.

The accepted solutions are collected to the databases and the artificial intelligence compiles then to another database where is stored the delayed solutions, and artificial intelligence would compare the accepted version to denied thing. The purpose of the cognitive systems is that they would never make things, what is denied again.

When the data is collecting, the human programmer can use simple command tool to make the machine learning more powerful. Because of artificial intelligence needs very little instructions, and when the databases are growing, there is no need to assist the program, what is advancing more and more independent.

Cognitive systems

Cognitive systems

https://controllingsociety.blogspot.com/

What are cognitive systems?


Cognitive systems mean the system, what is learning things. That means that if the system fails, it would not try again with the same methods and tools. That kind of things are calling as selective simulations, and the principle is that the machine would eliminate thing, what would not give success to the mission. In some examples, the machine would try to tighten the screws, and it must change tools for that.

Maybe it would try to use the wrong tool for that job, and then it would not try to make the action with the same tool again if that thing fails. In this case, the system would work with the image recognition system, and that thing means that the computer is collecting the database about the tools, what it has used in this mission. So what the cognitive system mean? It means the system that collects the database independently and spontaneously.

Artificial intelligence works backward and makes database 

This thing would make the learning machines very effective tool. And if we are thinking about neural networks, where independent systems are changing data together, and combine the databases, what they are collected, would that thing very fast learning a combination of computers, what is connected with different sensors. When the system collects the database independently, it could help people in many jobs.

The independent learning systems can operate backward, and collect the data from the writings, and CAD drawings what the person like engineer makes, and then search the problems and errors compiling the solutions with the database, what might be collected from the accidents, what has been happened with wrong made electric installations, and the system can tell the engineer, if something goes wrong and the electric system would turn dangerous.

The system learns from errors 

 Or it can tell if in some part of the project would be spent too many materials, and that would be told to the planner. Also at the beginning of the project, the system might tell, if there were problems with similar sites. In the world of the military, artificial intelligence would notice what kind of troops were the most effective, and also the ages and backgrounds for every person can be collected, because the computer uses that data for creating the perfect choice for every each mission.

And in this case, every detail of the warrior's profile can be and the effectiveness of the equipment would also be saved to the database, and that allows the artificial intelligence tell the military leaders, what kind of troops that commander must choose for missions. That means that the system is looking for similarities of the combatants and equipment, what have got effect against the certain type of enemy, and that would also allow choosing perfect men for each equipment. The same way the civilian company would select it's workers that way, that the work would be done most effectively.

A little bit more about the robot, what would be equipped with artificial brains

A little bit more about the robot, what would be equipped with artificial brains

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(Wikipedia)

Robots are not humans

When we are thinking about robots, what are equipped with artificial brains, we might think that this system operates like a human. If we would think the case, that the robot is equipped with the artificial neurons, we must remember that this kind of system is stable. It cannot create new connections between those silicone-carbon neurons, and that means that this system needs some kind of mass memory like flash memory for recording things and creating the databases, what it can benefit for creating the solutions for problems.

And the database is the thing, what makes the intelligence. The idea of intelligence is that thing would connect the stored data together, and then make the new models for the necessary actions. And in the case that the robot would collect data spontaneously by using sensors, that thing might be very dangerous, because that kind of things would cause that the robot would become the thing, what recognizes itself. The thing is that, when we are creating a massive database, we would offer change to create own connections between memory blocks. That process could be similar, is the learning thing robot or human.

Teaching the robot is similar process than teaching child

When we are thinking about the situation, where we are teaching robot for walking, we are facing the thing, that when the robot is recording things, the actions would become more independent in each time, when we are taking this robot out from laboratory for walking. In this kind of scenarios, the artificial intelligence would record the actions, what the controller would do, and the recording would happen in the natural conditions by walking with a robot at the streets.

But that process would also be supported by using computer game type workspace, where the programmer would fix the errors of the actions of the robot. That kind of thing is called hybrid learning. There the simulation supports the learning in the natural environment. This kind of things would be a very effective tool when the robots are learning actions, what are needed in complicated environments, like in cities. That means that when the robot is learning like a child, everything would be recorded, and the programmer must not write every movement to the console.

Why do robots learn chess easier than making sandwiches?

The thing what differences the chess-game from the sandwich is that there are strict regulars in the chess board. The computer must separate only two colors and the forms of the chess buttons. If we will want to create the chess-robot, what needs to operate by using the specific buttons, and that means it will need only the hand, that is equipped with RFID (Radio Frequency ID) sensors. Robot hand and other physical systems can be connected with every chess program, and the system can get the movements of the buttons from the database.

Then it can analyze the movements, and increase its own tactics by comparing the movements of the opponents and making the game simulations against those humans. and the thing is that the bigger database would make that program more intelligent and its knowledge of chess is increasing, which means that it can know more sophisticated tactics against human players. And the growing of databases is calling as a learning process. The big database would involve more game styles and movements, and the computer will connect them together for creating more and more new ways to play against other players.

The key is how to recognize things? 

The RFID system would tell the robot hand, where each button locates, and the thing, what the system must only know is the location of the hand, that it would not move button outside of the chessboard. And that thing can be made by teaching the movement of the hand, and there could also be small transmitters, which will locate the manipulator in the right place. The system can teach by putting the button in the hand, and then the operator would write the name of each button, and the system records the RFID signal, what it compares with the database, where the roles of the buttons have been stored.

But when we are starting to make sandwiches, that robot needs more information from the sensors. In the food cannot install the RFID sensors, and the robot must recognize the materials by using some other sensors. And the problem is that robot must know every single component like mayonnaise, sausages butter and other things like bread. Then it must take the right amount of the things and cut as an example of the sausages for the right size. And every movement and move track must be programmed to the system separately. Of course tools like knives can be RFID-marked, but the food can be recognized with image-id systems. And this makes this kind of thing very difficult for the computers, what are in the best with the limited logical problems like calculations.