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.