AI – from a Computer System to Human Brain

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Shahid Bukhari

EU Tech Chamber

Every industry, no matter what it is, now depends on artificial intelligence. The core component of any system remains to be the human intelligence. And why not? After all managerial control is still in humans hands. We’ll discover how AI is moving from computer systems to human brains in this article. Where the human and machine will have a common brain at all.

We realized that the structural characteristics of transmembrane proteins in ion channels channels at brain synapses allow human intelligence to function as a classical dual system.

It initially seems as though only medical professional and biologists would be interested in this novel and exceptional neurophysiology. However, we have a chance to develop artificial intelligence thanks to the idea of neurophysiology.

Technological Symbiosis Not in the Favor of Conventional Electronic System

With all their different characteristics, the present artificial intelligence systems have one thing in common. They are all created as particular, vertically directed electronic complexes that run via algorithms of different complexity.

Any man-mad electronic computing system’s alluring features of centralized control. We are essentially incapable of producing anything else. Yet, instead of using the standard approach, we may imitate nature and develop a technological symbiosis between computer system and human minds. The quickest and most powerful transformation process could result from combining automated and cognitive process.

Latest AI Arrangement for Single User

Alive brain and machine will collaborate in the new AI system to create a dual harmonizing system. Together these two components will reinforce each other and provide completely original result. The new invention would not be an entirely natural or electrical system.

The neurons in a computer and a human brain are intimately connected by this new type of personal artificial intelligence. This new side of artificial intelligence will soon become more known to us.

Work Technique of Neurocomputer

Integration of the human brain and a computer into a single interface hasn’t been attempted very often. Yet, Elon Musk’s Neuralink, a fantastic example of such attempts, is still having trouble. They were weak because they were following conventional surgical approach and were unable to get past these obstacles.

Obstacle No.1: Each of us has a unique brain to a certain extent if we consider what type of neuron group performs what kind of function. Still, we say it is the half-mess because worse is that the detailed picture of brain functions is persistently changing.

Obstacle No.2: It won’t be false if we say that obstacle No. 2 is the main obstacle and that’s the signal intersection point. Essentially, this is the point where an artificial electronic signal converts into a biological nerve impulse and vice versa.

New Wireless Circuit

This is very interesting about this new circuit: both the transmitting and receiving pieces of neurocomputer interface will be fully separated. It means they will be completely different communication devices.

The Transmitting Part
The transmitting part from the computer to the biological tissue will distantly send out the signals merely to synapses and not to neurons. The transmitting part will apply, indicating objects as points of direction in space and sources of reaction.

The signal, interestingly, must be of a non-electrical nature. This will let us create an artificial signal (nerve impulse) in brain neurons. This signal will be completely matching the physiological one. Consequently, the human brain neurons will have stimulations of synaptic plasticity.

The neurons themselves will dynamically chip in the configuration of lines of active interaction with the transmitting part. In addition, the tissue of the brain itself will form a link with the transmitting formation of the interface.

Furthermore, you don’t need any highly qualified medical personnel to install this interface. And that is the thing that will make it even easier for users.

The Receiving Part
This computer part will receive a signal from biological tissue. In fact, it will be a network of inactive indicating objects (nano-size beacons incorporated into living tissues). An active external component of the system (scanner) will remotely monitor the state of this network.

An indicating object is a neutral molecular composition biologically. It alters its conformational position in the presence of a weak electrical charge (a neuron at the point of pulse creation). This technique will allow the straight conduction of a signal from living neurons to a computer system.

By this way, the receiving part will convert into a non-invasive means. So, this scheme will keep you away from expensive surgical procedures. In addition, intravenous injections of molecular markers into the body will be possible.

The Brain and Computer Will Exchange Data Directly

You will simply need a neurological urge to exchange the info rather than any words or letters. The brain and computer will swape information via impulses that lack symbolic interpretation and have a sudden significance.

Working with a machine will, therefore, resemble engaging with intuition rather than an electrical instrument. During many months to a year, the common version of the component (brain & machine) will prevail. However, it will avoid the barriers of language and even literacy. Even a person who can’t write or read may utilize the new individual AI structure.

Comparison of Human Brain & Computer System- Final Touch

This is nothing else but just the magic of emergence that creates AI by uniting biological tissues with an electronic system. And we will be able to achieve the best possible outcome of emergence. The new properties of biotechnological symbiosis cannot be achieved separately by a biological brain and a computer system.

It is a fact that the human brain is weaker and slower than a computer system to process information. It is also less of an intelligent mechanism. On the other hand, electronic systems cannot have creativity, plasticity, and energy competency like the human brain.

In addition, the living brain has much more experience of the surrounding reality in terms of performance. While computer memory can store an indescribable amount of digital data. More, computer systems can easily enter direct communication with any technical tool or the internet.


All the points discussed above suggest the combination of the human brain and technology into a single composite of AI. This combination will not only enhance their overall effectiveness but also create a new type of artificial intelligence.