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.
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