Skip to main content

Use of the AI for speeding of computing. And AI-based computer-program code's error correction.



There is possible to make error-correction in the programming languages very easily by benefiting the AI and network-based technology. When the computer program will make contact with databases. It requires the paths where to find those databases. So there is possible that the programmer will set paths to the needed database in the programming editor before the programming starts. 

That programmer can make a macro by using the form that can call by giving a certain command. That macro can bring all databases in the form of a list to the screen. And there can be a description of what each database is doing. That the macro will put the paths of the databases in the wanted point. So the programmer can simply select the right database from the list and the program makes the paths. 

Another thing is that AI can make it possible to use descriptions. If a programmer forgets how to make input-output syntax by using the C- or some other programming language that person must simply write "take input and output syntax between interface and database 'x'". That means that the programmer's time would not go for finding paths or some commands. 

When we are thinking about network-based solutions for the program the modular program is the key to making the new and effective programs faster. On the server can be stored the modules where is a description of what those modules are doing. Then the programmer must just tell the computer what the program should do. And then the AI will collect certain elements in their entirety. After that, the programmer can make cosmetic changes in the code like replacing some images, or something like that. 

When the program is running the workstation can send the code that should drive to the server. And in this point server checks if the code is damaged. And do the bits and the length of the program match with the code in the hard disk. So the system compares two codes. And then it will check things like user permissions. 

The new technology is making it possible to drive computer programs faster than ever before. That cloud-based system makes it possible to share the program code between microprocessors and computers through the internet. The idea is taken from the animation programs from the early 21 st century. Those systems shared the code between multiple processors and made it possible to make complicated animations by using home computers. 

In that AI-based system, the computer program is cut into segments like in the TCP/IP protocol. Each segment has a serial number. The system observes how often the system needs hose segments or modules. And if the system doesn't use some segment for a while. It removes that segment from the RAM and stores it on the hard disk. 


(Segment 1)(Segment 2)(Segment 3) (Segment 4)... .


The AI-based operating systems make it possible. The program code can travel through the hard disks when the program is running. That means the system can remove unnecessary parts of the code from RAM. When they are not needed. In that model, the AI keeps a book on how often the system uses a certain part of the program. And if that part is not needed that thing can be written to a hard disk waiting for recall. 

In modern systems, the computer program can crush into small pieces. And then each processor will handle an individual part of that data. The idea is that every piece of code is equipped with code that helps to break it into pieces and then reconnect those pieces to one entirety. That kind of technology makes it possible to drive complicated AI code by using limited computing power. This kind of system is necessary for the things like drone swarms. 


https://scitechdaily.com/new-technique-dramatically-accelerates-computer-programs-without-fear-of-errors/


https://onlyimaginationlimitsinnovation.blogspot.com/

Comments

Popular posts from this blog

The LK-99 could be a fundamental advance even if it cannot reach superconductivity in 400K.

The next step in superconducting research is that LK-99 was not superconducting at room temperature. Or was it? The thing is that there is needed more research about that material. And even if it couldn't reach superconductivity in 400K that doesn't mean that material is not fundamental. And if LK-99 can maintain its superconductivity in 400K that means a fundamental breakthrough in superconducting technology.  The LK-99 can be hype or it can be the real thing. The thing is, anyway, that high-voltage cables and our electric networks are not turning superconducting before next summer. But if we can change the electric network to superconducting by using some reasonable material. That thing can be the next step in the environment. Superconductors decrease the need to produce electricity. But today cooling systems that need lots of energy are the thing that turn superconductors that need low temperatures non-practical for everyday use.  When the project begins there is lots of ent

Black holes, the speed of light, and gravitational background are things that are connecting the universe.

 Black holes, the speed of light, and gravitational background are things that are connecting the universe.  Black holes and gravitational waves: is black hole's singularity at so high energy level that energy travels in one direction in the form of a gravitational wave.  We normally say that black holes do not send radiation. And we are wrong. Black holes send gravitational waves. Gravitational waves are wave movement or radiation. And that means the black holes are bright gravitational objects.  If we can use water to illustrate the gravitational interaction we can say that gravitational waves push the surface tension out from the gravitational center. Then the other quantum fields push particles or objects into a black hole. The gravitational waves push energy out from the objects. And then the energy or quantum fields behind that object push them into the gravitational center.  The elementary particles are quantum fields or whisk-looking structures. If the gravitational wave is

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

We know that there are many risks in AI development. And there must be something that puts people realize that these kinds of things are not jokes. The problem is how to take control of the AI development. If we think about international contracts regarding AI development. We must realize that there is a possibility that the contract that should limit AI development turns into another version of the Nuclear Non-Proliferation Treaty. That treaty didn't ever deny the escalation of nuclear weapons. And there is a big possibility that the AI-limitation contracts follow the route of the Nuclear Non-Proliferation Treaty.  The biggest problem with AI development is the new platforms that can run every complicated and effective code. That means the quantum computer-based neural networks can turn themselves more intelligent than humans. The AI has the ultimate ability to learn new things. And if it runs on the quantum-hybrid system that switches its state between binary and quantum states,