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.