Revolutionary AI system learns by using text, video, and audio.

The new AI system can connect information, that it gets from text, video, and audio. This new AI-based system can connect itself with multiple systems more effectively, than ever before. And that thing makes the system very effective. 

At this point, we must realize one thing. The AI itself is a platform-free application. So the system can use things like robot bodies and surveillance cameras as the physical tool that increases its operational environment. If learning AI works with the robot. Their AI can operate as a visible control system. 

Or it can operate backward and send information to the central system. That central system interconnects data that it collects from the network, robots, and other things. That allows the system can collect multipurpose data matrix. That it connects data from multiple data-handling tools. 

Machine learning means the ability to connect memory blocks. Same way, when the human brain connects neurons to virtual neurons, the learning machine connects databases to new entirety. And that is one of the biggest advances in data sciences. 

But without data is no databases. And without databases is no learning. The problem is how to input data into databases. The answer is that the system can use cameras and microphones to get information. Those cameras and microphones can be installed in the robot's body. 

If the AI uses robots as the medium it's even more flexible than pure network-based solutions. The idea is that AI can operate as a hybrid application. In those models, the AI solution is a combination of software- and hardware-based solutions. 

Complicated algorithms require powerful computers and effective internet connections. For learning machines information is the material. That is used for making new solutions. Learning machines can make virtual solutions or physical solutions. 

There is the possibility that the AI makes virtual models like CAD images of the work. And if the engineer accepts it, the system will transfer it to industrial robots and 3D printers that make a physical product. 

https://scitechdaily.com/revolutionary-ai-system-learns-concepts-shared-across-video-audio-and-text/

https://shorttextsofoldscholars.blogspot.com/

In the future, robots can call the emergency center when they need computer assistance, like new programs.

Even if spontaneously learning a computer or algorithm is hard to make it's possible, that in the central computer is the library of the computer codes made for different situations. The man-size robots have limited computer capacity. So for making databases and computer code lighter the robot can "forget" the unnecessary code. 

That means the computer deletes the databases after they are used. And then the robot can load the new algorithms into its memory. The ability to change code in the computer makes algorithms less complicated. And robots are more flexible when they can change the components of their program. 

There is an image, where the robot is using the computer. The technology where the programmer can program robots by sending the program code from the computer screens already exists. The system uses a camera or robot's eyes for reading programming code to the computer's memory. When artificial intelligence detects programming code it resends it to a programming tool. 

The new fast-learning algorithms are fascinating tools. A similar algorithm that is used to translate texts from digital images, can be used for programming robots and computers. There is the possibility that the system reads computer program code to a programming tool similar way texts are read to the translation program. So maybe in the future the robot can sit next to the human worker and read the code lines from the computer screen. 

Human size and human-form robots would be the most flexible tools than anything before. The human-looking robots can operate by using the same tools as humans. And the human-looking robot can turn any aircraft or tank in the world into a drone. But the problem is that those systems still have limited computing capacity. The complicated algorithms make it possible that the system can make many things. But what if the robot can ask for help by using regular mobile telephones or interacting with security cameras? 

In the last case, the robot can send a message to the surveillance camera, and then the system can send new instructions to it from the information screen. And in the first case, the robot can simply use the cell phone for asking new computer codes in the form of text messages. The fact is that the new programming code can send to the robot even in the form of a paper letter if the system uses the camera-based reading systems. A similar system makes it possible. That the translation application can read texts from digital images. 

And the computers can send programming code also to programming tools. There is also possible to create a translation program that translates the normally written orders into the form of programming languages. The system can also use speech through the speech-to-text application. And when the operator orders the robot to walk this message will be translated into the regular programming language. 

These kinds of abilities are making robots more powerful and flexible. The ability to send code lines to the robot in the form of text messages makes it possible that robots can operate almost without trouble in areas where internet connections are bad. 

There is the possibility that the robots of tomorrow can use similar mobile applications to a normal person. And if the robot will get in trouble it can send the text message to the central computer that sends the program code to it in the text message. This kind of system makes it possible that robots can interact with controlling systems in many ways. When robots are in trouble they can simply send a message about the situation in the form of laser rays to surveillance cameras. 

And then the local information screen can flash the needed program code to the robot. Those flashes can maintain less than half a second. And then the robot will resend the code to the system for making sure that is the right thing. Maybe that emergency center for robots is real in the world of the future. 

Making this kind of system effective requires the central computer must, of course, to know the mission. So when the master of the robot is giving orders about what the robot should do that person must just make a phone call to the computer center and say what the robot must do. 

Image:) https://www.dotmagazine.online/issues/ai-intelligence-in-the-digital-age/ai-changing-the-game-for-good/ai-for-network-infrastructure

https://artificialintelligenceandindividuals.blogspot.com/

And then the dawn of machine learning.

   

 And then the dawn of machine learning.

Image: Pinterest

Machine learning or autonomously learning machines are the newest and the most effective versions of artificial intelligence. Machine learning means that the machine can autonomously increase the data mass, sort the data and make connections between databases. That ability is making machine learning someway unpredictable. And that kind of thing makes the robot multi-use systems that can do the same things as humans. 

The reflex robot is a very fast-reacting machine. The limited operational field guarantees. that there is not needed a very large number of databases. And that means the system must not search the right database very often. That makes it very fast. But if it goes out from its field it will be helpless. 

When we are thinking of robots that can make only one thing like playing tennis they can react very fast in every situation. That is connected with tennis. There is a limited number of databases. And that means the robot is acting very fast. 

When a robot or AI makes the decision it systematically searches every single database. And if there are matching details to observed action. That activates the database or command series that is stored in the database. But the thing that makes this type of computer program very complicated is that when the number of stored actions is increased the system will slow.  

If we want to make a robot that can make multiple actions. That thing requires multiple databases. And searching for the match for the situation in every database takes a certain time. So complicated actions require complicated database structures. Compiling complex databases takes time because there are limits in every computer. And in the case of a street operating robot, the system compiles data that its sensors are transmitting to its computers. 

So the conditions that this kind of system must handle might involve unexpected variables like fog or rain. And for those cases, the system needs fuzzy logic for solving problems. In that case, only the frames of the cases are stored in databases by the system creators. And that system is compiling those frames with the data sent from the sensors. 

The waiter robot can be used, as an example of machine learning.

A good example of a learning machine is the waiter robot that is learning the customer's wishes. The robot will store the face of the customer to its memory. When it asks does the customer wants coffee or tea? Then the robot will ask "anything else". And in that case, the robot can introduce the menu. 

And then the customer can make an order. There are certain parameters in the algorithm. Those are stored in the waiter-robots memory. The robot is of course storing that data in the database. The reason for that is simple. The crew requires that information that they can make the right things for the customer. But that data can use to calculate also how many items the average customer makes after a question "anything else"? 

The robot can also store the face in the database that it can calculate how often that person visits the cafeteria. Then that robot can simply store the orders below the customer's face. And it learns how often a person orders something. If some customer is ordering some certain products always. The robot can send the pre-order to the kitchen. That they can get a certain type of order. When some customers will visit often and order all the time same thing, the robot can start to say "do you want the same as usual? For that thing the system requires parameters how often in a certain time is "often"? That was an example of the learning system. 

https://thoughtandmachines.blogspot.com/

   

 The brain cells in a dish are learning faster than AI. 

The brain cells in a dish are learning faster than AI. But when we are thinking. That those brain cells at dish should learn only one thing. Those brain cells could learn a single thing faster than regular human brains because they need only one connection between them. So if we would minimize the data mass that is loaded to the neurons. We can make them react very fast. And also, they can learn that data faster than human brains.

In the cases, when data mass that loaded to the brain is minimal. There is a smaller number of connections between those neurons. So when neurons are handling data they must not search connections. 

The reason why brain cells in a dish are learning faster than brain cells in human brains. Is that the brain cells in the dish can use their entire time. for solving some problems. The brain cells in the human brain must sometimes concentrate on some other things. So there are cuts in the data handling process of human brains. And also there are lots more information that the human brain must handle than certain problems.

There is a reason why human brain cells in a dish are learning faster than human brains. The reason for that fast-learning process is that those brain cells in the dish must handle more limited information than normal brains. If the only thing what those brain cells must learn is some game like chess or video game those brain cells would learn the thing very well and fast. In the real world, what means places outside laboratories neurons must handle larger data masses than in laboratories. 

When people are walking on the streets, their brains must handle many types of signals. If those neurons would be in the dishes. The only thing that they must do is to learn some computer games. That thing is called sensorial adaptation or selective sensorial adaptation. The idea is that the neurons must be in the chamber where they are learning only one thing. 

And if that thing is the only stimulus that those neurons get. That thing will make them learn that only thing very well. Sometimes introduced a theory that "Kaspar Hauser" (1812-1833) the "boy who has grown in the barrel" or at least in total isolation was the victim of "selective adaptation" experiment. In that case, the only stimulus that this poor man got would be the military tactics. 

But the brain in the jar has brought one thing to my mind. Even those mini-brains would be small-size they are learning things. The memories of the person can transfer to those cells. And if there are enough brain cell cultures. That thing makes it possible to store memories in those cells. And then transmit them to another person. 

The thing is that the memories can transfer to the cell cultures. Makes it possible to talk with animals. If those memories can project to the screens of the computer that thing can give data. About how animals are living? The memories of the animals would download to the cell cultures and then those memories could transport to the screens of computers. Or of course, some extreme scientists would transfer the EEG of those brain cells to their brains. 

There is the possibility to transfer "trained neurons" to the nerve channel of the fetus. And that thing is opening new and very fascinating and same way frightening visions in my mind. That thing would make it possible to create the learning process that continues over generations. So that thing could be the real "deep learning". That means people like highly trained military officials would multiply. 

https://www.newscientist.com/article/2301500-human-brain-cells-in-a-dish-learn-to-play-pong-faster-than-an-ai/

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

https://thoughtsaboutsuperpositions.blogspot.com/

Machine learning is creating novel materials and complex molecular structures.

Machine learning is creating novel materials and complex molecular structures. 

Machine learning is the thing that revolutionizes everything. The idea of developing materials like molecules is always similar to putting lego bricks into a certain form. At first, the system puts two bricks together. And then the machine will start to expand the structure. The system can use a similar methodology to put the atoms and molecules together. 

The system follows temperature. And other things like oxygen level, pressure and pH, and radiation level in the reaction chamber. Those things are necessary when new molecules are created for nanotechnology. And also the production of artificial enzymes needs a similar technology with nanomachines. 

Artificial intelligence can use scanning tunneling microscopes, electron microscopes, and optical laser- and regular microscopes for observing how the molecules and atoms are making connections. When some connection seems successful. The system can continue by using the same parameters. 

When the system tests which parameters are best. It tests the different pH, radiation and pressure, etc. values. Then it tests which values are offering the longest possible stability for the molecules. Or otherwise, the system can observe which physical and chemical values are nearest to the most wanted results. That means all molecules are not meant to be stable. 

Some molecules are meant to cut in certain conditions. Those molecules can be cytostatics that are neutral in the normal chemical environment of the body. When some kind of activator for example. The enzyme, sound, or laser ray hits those molecules that thing cuts those macro-molecules to medicine or cytostatics. If the molecule travels in the body in the form of a macro-molecule. That thing decreases the secondary effects of extremely poisonous cytostatics. 

 And that kind of molecule is useful in medical work. Those molecules are connected to the nutrient. Then nutrient is transported to cells that are needed for those medicals. After that, the enzymes of those cells open the chemical bonds. Or in some other cases, some kind of acoustic or electromagnetic radiation system will break those molecules. And that activates their medical abilities. 

https://phys.org/news/2021-12-machine-synthesis-complex-materials.html

Image: https://phys.org/news/2021-12-machine-synthesis-complex-materials.html

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/

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

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

(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.

The artificial intelligence would not have moral breaks for its actions.

The artificial intelligence would not have moral breaks for its actions.

The thing, what makes robots the ultimate tool for many things is that they don't have a consequence, and they ever doubt the orders, what they have got from their leaders. And this makes those things very dangerous. In fact, robots can be physical machines, but they can also be artificial intelligent programs, what is collecting shares from the stock market. The thing what we ever thought before is that those computer programs might have an algorithm, what tells that everything, what cannot be uncovered does not exist. When we are thinking this kind of computer programs, we might think that they can't harm human life, but there is an exception, what would make computer programs very dangerous.


The thing is the ability to collect data automatically from the different sources, and then connect that data to the operational profile, what the artificial intelligence could use to maximize the profits, what it would get to the owners of that thing. If there are no limits for the actions, what is allowed to that artificial intelligence, the results would be devastating. In this scenario that artificial intelligence makes mistakes and buys the shares of the company, that would operate ethnically wrong way. One of those companies is the mercenary or war business companies, what is working for international companies and non-democratic governments. In that case, we might think, that artificial intelligence notices that action, what is not acceptable.


But if the program has taught to make a profit with any means, the case that somebody would uncover that kind of investment would cause the situation that artificial intelligence would buy contract killers or even try to kill that person by hacking the cars, who uncovers the secret. The thing is that the computer program uses machine learning to create tactics against those people, who dangers its investments. The thing is that if there is not a moral level in artificial intelligence, that kind of programs can make things, what would normal people ever do.


And the reason for that is the artificial intelligence ever excuse the orders. The orders to this program would be to make a profit without caring results, and this kind of things might cause the situation, that the artificial intelligence would start to care only the profit, what it can get, and the computers have no moral. They don't care anything else than the missions, what they have got. And this makes them so effective weapons.

The machine learning part II

The machine learning part II

The thing what is a problem with the artificial intelligence and the teaching process, where the machine learn things is to make teaching or programming process easier. And the thing in the teaching process is that the teacher or programmer must handle the huge masses of information, for making computers do something. When we are thinking about my favorite thing, the robot car, we are facing the thing, that the programmer needs to find out multiple details about the things, what the car will notice.

And then the programmer must give the instructions to the computer, what the car should do in every situation, what it might face on the streets. And this causes problems. The thing is that the car must notice people, who are stepping suddenly on the way and push the brake pedal. But there is one thing, what we must realize, and that is, what if somebody would try to rob the car. And this is the thing, where the car needs to defend itself and people inside it, but if the person would rise hand, and the computer thinks, that the finger is the gun, would the case turn very horrifying thing.

But when we will think about the interface of this kind programming tool, what is capable to create orders, how they act in the situation, we must think the brand new solution. This new type of programming tool might use multiple interfaces and allows many ways to handle the objects. And one version would be the tool, what looks like drawing program. Objects can copy to the memory of computer using similar cutting tool with picture handling tool.

And the thing is that the object will be surrounded and then on the screen is written the instructions, what to do in that situation. Of course, this kind of programming tools must have many different ways to input the data to the system. During the process, the programmer must first make the instructions, what to do, and then the car would send to the highway for recording the necessary reactions in certain situations. When the robot car faces the problem, what is not stored in memory, it would ask help to solve it. And then the driver can take control and record the reaction. This kind of things might be useful when the car is driving a certain route, but there is a problem with this kind of things.

The programmer must realize that the same object has different forms in the real world. And the thing, what makes more problematic for programming the reaction for the car, how it should do in the traffic lights, than making programs for killer drones. The killer drone needs only instructions, what is the enemy, and if the sensor would tell if the signal tells that the target is enemy, would the killer drone shoot the target by using missiles.

The transmitters of the own troops tell to drone, that they are own side, but the drone can open the fire if the signal is not recognized as the own side troops. But the car what drives independently needs many other ways to do than shooting the missiles. And that's why the programming the self-moving car is more complicated than making the drones. The thing is that the killer drones would just need advice, how to shoot targets, but the automobile cannot handle situations in the same way. That car must follow the instructions and orders to operate by following the law and avoiding risks.

About machine learning

About machine learning

Every learning process is basing the information, what is stored in memory. And when we are trying to teach something to the computer, we are facing the difference between human brains and computer. If we want to drive a driver's license, we have a huge database for supporting that process, and the thing is that we must not learn everything from the empty base. The thing is that at the age of 18, we must not learn things, like what is the barrier, or should we avoid things like traffic lights.

Those things are clear for human beings, and if something is not clear, we must ask that thing, or our instructor just says, what we must do when we are facing some stop sign. And this is the thing, what causes accidents in robot cars. Computers know only things, what are programmed in their memory. But when the robot car is traveling on the road, the problem would be that there is a huge mass of information, what this system must handle.

The thing is that every each traffic mark, or things what the car faces must be programmed in the memory, and then the computer would compile the information, what comes from the cameras and other sensors to the things, what are stored in the memory of the computer. And this is the problem. The thing, what makes computers great calculators is that they handle data precisely, and there are no inaccuracies in that process. That thing makes the data handling process of the car very difficult because if the traffic mark is dirty, the system would not recognize that thing.

And that causes problems. Also, special things like some road works or the cases that the car would face some unexpected things like cable ferry would make very big problems, because if the car faces the sign, what it doesn't recognize, would it stop, and wait for the new instructions. But what if there are no traffic lights in the cable ferry. The robot car cannot solve the problem, because there is no information, what to do in the situation, that some person in an orange suit shows the allowance to drive in cable ferry.

If we would teach the machine, how to act in the situation, where the person would give allowance to drive in the ferry, we might forget, what happens if some person, who has similar work clothes would raise the hand in the front of the street work and move the wrist for giving orders for the digger. In the worst scenario, that thing causes the situation, that our robot car would just push the gas pedal, and then we are in the pit. The thing is that robot cars are working perfectly when they are operating in the closed tracks is of course very big thing, but it would be the long route, that we can make the car, what allows us to read morning magazine behind the control wheel. But there are already been experiments, where robot cars are operating in their own track and limited areas.