Integrated AI is the tool of the next generation.

 Integrated AI is the tool of the next generation. 

Do you know what a kernel is? Kernel is the border computer program that connects hardware to software in computers. The kernel is the code that microchips and other components use when they interact with each other. 

The integrated AI means that the AI is integrated with microchips or their control program. That thing means that the kernel turns into AI. And that could mean that the Chat GPT type program is programmed straight in microchips. 

That allows the computer to program other computers and robots. And that ability makes that kind of combination super hot. 

The Chat GPT is a chatbot. That means it will not control the robots themselves. But that system can create program code that can control robots when they are operating. This ability makes robots flexible and adapts tools because the AI can modify their control codes anytime. That it can adapt to the environment. 

The flexible neuro-network is like brains. The thing, that differs human brains from animals is the number of different skills. Computers are acting like human brains. They store data that they need in records or databases. The system can make it easier to find necessary data records sorting them under certain topics. 

The neural network-based computer architecture works similar way as one computer. That stores data on a hard disk. In neural network-based architectures, the system uses multiple computers and hard drives to store information. In the ideal case, all databases have their own physical devices. That thing makes it possible for the system to be effective. It can share the responses with multiple CPUs in multi-level coordination. 

There are no limits to the neural network's size.

The multi-level coordination is important for physical systems like robots. 

When the system switches on all databases are telling the CPU that handles their operations where that CPU finds them. That data is stored in routers.  There might be multiple CPUs. And each of them has responsibility for one skill area that the robot has. There could be a CPU with certain database connections for emergencies. There is a hierarchy in the CPU network whose purpose is to save the robot if it slips on the floor. 

The artificial reflexes require an integrated- microchip-based database that can help robots react to things like slipping on the floor.  

So the "skills of the left hand" are under one topic. Like in human brains, all information is stored in cells that are databases. In computer-based neural networks, the computer stores all information in databases with the same purpose as memory cells. When the system requires some skills it must first recognize the situation. The computer searches databases that information matches with situations that sensors are telling it. And can give responses for actions that happen around the computer. 

The multi-layer system is the ultimate tool for that kind of system. In a multi-layer system CPU that controls senses is different than the CPU that controls movements. The interconnected database network might be millions of databases in subnetworks. In an ideal situation, each database has its physical processor that interconnects records with each other. 

In a multi-layer system, there must be some kind of artificial reflexes. When a robot slips on the floor there must be data that the robot can use immediately when it sees that the acceleration sensors of the robot are out of balance. That data that makes the robot put a hand to stop falling is easy to store straight in the microchips. 

When the system requires some information or code it must find the right databases. If the computer must search all databases one by one that takes time. So there must be a better mode. 

In the active model, each database will report for the CPU (Central Processing Unit) that it's ready. During that process database can tell that "I'm database 3 that controls left-hand movements, and the CPU can find me behind connection number 3". 

That thing makes routers route data between the CPU and the left-hand's database. In network-based systems, there might be thousands of databases. In each database are thousands of records. There is a possibility that every database has its central processing unit that can search the right records. And then those databases can interconnected. 

Neurons can change their place and missions in brains.

Researchers noticed that the neurons can travel in brains. That means a neuron can begin its career in a different place where it ends its career. This thing can benefit in the cure of brain cancer or accidents. If the destruction of brain cells is very large-scale

There is the possibility to use cloned neurons where the memories are transferred to replace the destruction in brains. The problem with brain damage is that the memory blocks of neurons are gone. And maybe this kind of research makes it possible to minimize brain damage's effect on a victim's life. 

The position of neurons in brains is not necessary where neuron ends its career. That means that neurons can travel inside the brain. That means when the health or speed of a neuron changes it needs to find a new position. 

If there are lots of synapsis in the neuron, that makes it a little bit slow. A large connection number means that the neuron must look for the right connection for a long time. That kind of neuron is suitable for the slow and peaceful thinking processes. But the reflexes require fast-operating neurons. Those neurons have only a few connections. 

And they are fast-operating. The brains must find a balance between those two neuron types. Reflexes are important. 

But the brains must also create new things. For that kind of process, brains must interconnect neurons and connect memories with abstract images. Imagination is another name for visual abstraction. That thing makes humans superior to other species. 

The neuron can move physically or virtually. In the physical model cell, itself moves. In the virtual version of the neuron's movement the neuron transports memory to another neuron. And reprogram the target neuron. Or neuron renews its connections.

If the neuron itself moves helper cells are moving neurons to another place. Another way is that the neuron changes its synaptic connections. Those synaptic connections can be extremely long. And that means the missions that neuron handles are in other brain areas than the neuron itself locates. 

The third way is that the neuron transfers its memory blocks to another neuron. And then that neuron replaces those memory blocks by using new memory units. The key element in a neuron's identity is memory. The memory black determines the skills and position that neuron has. The mission of a neuron is stored in the memory of the neuron. And connecting those memory blocks neurons can create virtual neurons. 

So that means the number of physical neurons is not telling the entire truth about the abilities of the brain. When we are calculating neurons we can say that some bug has only ten physical neurons. But those neurons might have tens or even hundreds of different states. The neurons of the bugs are connected to themselves by the loop synapsis. 

Every track of those loop synapsis determines the new state of the neuron. And connecting those tracks using them at the same time. And interconnecting neurons means that the bug might have thousands of states in its neural system. And the states of neurons are the thing that determines the intelligence level. Each state of a neuron is acting like it will be an independent neuron. And when we are calculating neurons we should calculate the states of neurons rather than physical neurons. 

The human brains have billions of states. The neurons can make loops, they can interconnect. And they can also transfer their memory blocks to new neurons. 

So neurons are teaching each other. That ability makes neurons more interesting than we even think. The memory blocks are always acting similarly. And some of them are handling memories. The ability to transfer memory blocks across neural systems makes it possible to transfer memories between individuals. 

https://scitechdaily.com/thousands-of-different-scents-scientists-solve-a-30-year-old-mystery/

https://scitechdaily.com/where-neurons-begin-in-the-brain-isnt-necessarily-where-they-end/

Image: ) https://www.piedmont.org/living-better/10-fun-facts-about-your-brain

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Thoughts about the book named "The Borrowers"

(Picture I)

Kimmo Huosionmaa

This is writing about fictional, small size human-style organisms. I mean, that maybe some aliens, what life in other planets would be very small size, and in same time something brought my mind the book, what was read to me at the childhood.  Ata, strange Chilean mummy, brought one book in my mind. The book for children is written by Mary Norton, and its name is "The Borrowers". This is the very nice book for children if you wish to read it, and it would be found in the local library.


The book was published in Great Britain, and it was published in 1952, That is the story about the Clock family, what was consisted of four characters, Pod, Homily, Arrietty and Peagreen Clock, who were the extremely small human style fictional aliens or characters, that was the size of the thumb, what were created by Mary Norton. Those small characters were not stolen people property, they just hide that thing. And I have sometimes thought, that could some strange mummies like Ata made the influence of those characters.


Mary Norton made actually six books, where those small characters are adventuring. and the last one has been written in 1982. These book series were read to me when I was the child, and I sometimes thought that there could be very small, human style intelligent characters somewhere, and there are many myths and legends about "small people", who live somewhere, where light ever is shown.  Those "small people" are in the same category with pixies and gnomes. There are many folk stories about those strange characters, who are sitting on the mushrooms, and in some stories, gnomes would look, when pixies were dancing in the middle of mushroom circles.


Those circles, of course, feed the imagination of the people, because of the mushrooms bought in mind the seats, where some very small character would sit and follow the show. When we are thinking the physical and biological aspect of those mythical characters, we would mention, that the number of the neurons is not made any species intelligent. Another thing what makes species intelligent is the number of connections between those neurons. And of course, the size of neurons is the very remarkable thing. And if the neurons would be the very small size or they could have many connections, would even small size alien or creature be intelligent.


When we are thinking about the number of neurons, what would have very much connections, we must face the truth, that the bugs have very effectively working brains, and they do more things than us by using single neuron. So if those fictional "Borrowers" would have small brain cells and they would be connected same way as the bug's neurons, the result would be the intelligent character. But this is only thoughts about one child's book, what is written the long time ago.

https://en.wikipedia.org/wiki/The_Borrowers

Picture I

https://www.scholastic.com/content5/media/products/03/9780439325103_mres.jpg


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