The new game-chancing technology makes information transportation between neurons and non-organic microchips easier.
What type of computer is the most powerful in the world? The answer is the human brain that controls the quantum computer by BCI (Brain-Computer Interface). In that kind of system, the brain interacts straight with the quantum systems. That kind of technology is tested in laboratories. And the reason for that is that the BCI can control multilevel computing systems effectively.
The miniaturized microchips called "intelligent dust" can also make it possible. That the AI can interact with every single neuron separately. That thing makes it possible to transfer new information to neurons, that control the OI (Organoid Intelligence). And the most powerful of the OI-based systems is the BCI, the system where the human brain interacts with microchips and microcomputers without borders.
The main problem with BCI is how the system separates commands from the "white noise". The problem with the BCI is that we cannot perfectly control our thoughts. So the system must filter the data that is meant for command from thoughts like "it's nice to get some cake". If the system cannot filter meaningless commands, it operates wrong.
If the system uses simple models like taking the EEG from the Wernicke lobes, that thing is revolutionary. But if the operator can use the entire brain for the operating orders. That thing gives new depth to the interface.
So there are two types of BCI.
1) In the simplest model. The user just gives the common orders. Like ordering a robot to move stones. In that model, the AI-controlled robot just walks to stones and moves them. So the user gives only commands.
2) The more complicated model is the robot. That interacts with the cortex all the time. In that model, the system uses electric stimulation and EEG-reading systems for connecting robots with the senses. And making it act as another body for the person.
The new type of innovation is making possible information change between neurons and atoms. The ability to transfer information between neurons and atoms is revolutionizing computing. The new miniature microchips are allowed to pack much more independently operating microchips in the circuits. And that kind of thing is making even virtual quantum systems possible.
In virtual quantum systems, multiple binary computers are playing the qubits. The AI and TCP/IP-based system shares data with the data-handling lines. And each of those lines plays one state of the qubit. Then the AI reconnects that data again to its entirety, and that kind of binary system can be more powerful than ever before.
But the ability to transport information into independently operate quantum circuit makes the most powerful computers possible. In those models, the living neurons transport data to the quantum system that can operate independently. This type of system allows transporting information in its original form from the OI (Organoid Intelligence) to the non-organic quantum system. And that kinds of systems are making it possible to create hybrid computers that are even more powerful than we ever imagined.
That kind of system allows to transport of information to a quantum system in its original form. And even as data storage, those kinds of systems are revolutionary. They can store the EEG signals in their original forms. But the neurons can also transport information to the independently operating quantum system that continues the data processing, and then return the answer to neurons.
Independently-operating networks that can use neutral atoms as quantum computing might be more effective in that kind of purpose than ion- or electron or photon-based systems. The neutral atoms are more stable than ions. And that thing means that the sensors that use neutral atoms are safer. The ions can start to move in electrical fields much easier than neutral atoms. So the neutral atoms that can use in quantum computing are more effective and less vulnerable than ion-based systems.
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