The quantum processor would act like human brains.

The quantum processor would act like human brains.


The quantum processor is actually a copy of the human brains. There are two layers of microprocessors, what are communicating together. The upper layer is like the brain core and the lower layer would be like the bottom of the brains. And in theory, this is the thing, what could make the quantum processor possible, if the operating system would support that two or more layer 3D structure, what is in structural and operationally copy of the human brains.  About attempts to make a copy of human brains by using transistors is a very interesting question. The problem is that if we would want that transistors would replace neurons, we must remember one thing.

The thing is that we would need 30 to 500 billion transistors for replacing each neuron. And maybe in somewhere in future, we would have nanotechnical way produced transistors for making fully functioning copy of human brains, and in fact, there are persons, who attempted to make similar structures by using transistors and other technical components.

And the thing is that the transistors and later microchips are connected in the 3D-structure, what is filled with polymer. The role of the polymer is to insulate the metal structure from the electromagnetic radiation. And the fat has the same role in human brains.  The human brains are so effective because many neurons would handle the problems at the same time.

This means that the data goes in the human brains in simultaneous rows what comes one after one in the mirror neurons, what brings the thing in the knowledge, and the structure of human brains have been used for creating the quantum processors. But the thing is that we cannot create the operating system for that thing. The quantum processor would have the 3D structure, and it can be like two layers of microprocessors, which are connected together.

The thing is that by using this kind of technology the scientists attempted to create artificial brains, what are learning things like human brains. And this thing has been problematic because even the best and the most powerful computers in the world only the fraction of the transistors, what are needed for creating that structure, and of course, there would be needed the operating system, what will teach that thing to operate.

The artificial intelligence is a strange thing because if it wanted to create that it can spontaneously learn things like humans do, the hardware and software must have more advantages. There is a possibility to create programs and operating system, what can be taught to make decisions on the car, what travels on the road. This system bases the idea, that the programmer would program the system, what has the capacity for image recognition. Then the car would take a little trip with driver and programmer, and the camera what is installed in the car is taking the picture all the time.

And the programmer would mark everything, what comes to the way by telling the car, should it drive slower or evade things like traffic lights or street lights and people. That thing would happen by using the photographs, what the system has collected. A person who would teach that machine would mark every point in the pictures and give instruction, what to do in each situation. If the car would face similar objects, it can use the procedures, what it has done earlier with similar objects. But in fact, there are many risks with this kind of things. And the driver must always find the things, what is going on.

There could happen things like that the programmer forgets to mark some vital targets like humans or pets to the system. And the thing is that the computers would not know anything, what is not programmed in their memory. The thing in machines is that they would never ask anything, and even if they would ask something like "did you forget something" the user can close that window by using the ESC button.

But if the computer would become self-learning it can also ask other computers the instructions, and link it's own database to the other databases, what are stored in the network of the servers. This would be a very nice and easy way in theory to create the program, which can drive a car on the road. Making more complicated things must artificial intelligence have the supporting infrastructure, what is more advanced, larger and complicated.

The problem is that this kind of thing needs more than some 150 billion transistors. The transistors are the thing, which makes microchip operating, but the thing is that the benefit about human brain if that it will start the handling of problems in multiple places. The ability to use many places or centers or nexuses for computing at the same time give the very small thing the very high power computing capacity. And this is the thing, what makes the human brains so fascinating.