Elegans worm "Caenorhabditis Elegans" is also an example of why neural networks are so powerful. The 32 olfactory neurons of that worm are connected to 13- 14000 receptors. The neural network of those 32 neurons is taking information from very large areas. And the surface area that delivers information is also important for the neural network. In the case of the elegant worm, the purpose of the network is only to input data to the neural system of that primitive worm.
Above this text, you can see the neurons of the "Caenorhabditis Elegans". The reason why that worm is not intelligent is that the axons are networked with two main axons. So those neurons have only two states. The more advanced neurons have loop connections to the body of the cells. Or they are forming the loop of interconnected neurons.
The neurons could have multiple states if it has multiple loop connections in their body. Or the series of neurons are interconnected to a circle. And there is a possibility that the loop of interconnected neurons begins and ends in the same neuron.
So the olfactory neurons of the elegant worm are the example of the "dummy neural network". The dummy neural network means that the system just collects data from the sensors and maybe sends that data to the screens. Another version of the neural network is the intelligent network.
There are two main types of neural networks:
1) Passive neural networks which have subtypes:
1a) Dummy neural network.
This neural network just collects information from the sensors.
1b) Intelligent neural networks.
This neural network preprocesses information before it outputs it.
2) Active neural networks
Active neural networks are always intelligent. Those neural networks can react to things that they see. In the case of a fire, the system can activate sprinkler systems and order people to get out of buildings.
That kind of system can detect also things like knives and aim acoustic weapons at the attacker. Or in the cases of the subways, that system can shut down lights in the case of violence. And the security team can use infrared lights in their operations.
The intelligent network also collects information from the sensors. But there is the preprocessing stage between the output of information. So if we are thinking about surveillance systems that are using the dummy network that system just inputs the film of the surveillance cameras to screens. But the intelligent neural network can also sort the images that the areas where people are more highlighted than areas, there are no people.
And if there is a person, who seems to want to hide in bushes that system can mark this kind of thing for authorities and security personnel. This is the difference between an intelligent and a dummy network. In those cases the system is passive. It collects information and maybe preprocesses it. But the neural network would not make active actions like using loudspeakers that are telling that the person has the knife or using the acoustic weapon against that kind of target.
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