At first look, it may appear that this novel and unusual neurophysiological idea is primarily of interest to physicians and biologists. However, this idea from the domain of neurophysiology provides us with the chance to construct a highly unique artificial intelligence.
A new sort of artificial intelligence: technological symbiosis in opposition to traditional electronic systems
All present artificial intelligence systems, regardless of their features, are created as single vertically controlled electronic complexes that work utilising algorithms of varied complexity. Any man-made electronic computing system's irresistible quality is centralised control. We simply don't know how to construct in any other way.
New AI system for a single user
A bioelectronic hybrid, in which a living human brain and a computer operate together in a dual complimentary system, will become a new type of artificial intelligence. Both components will complement and strengthen one another, resulting in something entirely novel that neither nature nor totally electrical system designers have seen before.
We'll learn about a new sort of artificial intelligence called individual artificial intelligence, which is based on a neurocomputer interface that connects the neurons in the human brain to a computer directly.
How will the neurocomputer interface work?
Despite the fascinating possibilities of this direction, just a few attempts have been made around the world to develop a direct connection between the human brain and a computer. Elon Musk's Neuralink was one of the most well-known. The flaw in these projects is that they follow the typical surgical path, which means they fail to overcome two major roadblocks.
The first stumbling block is the inaccuracy with which individuals interpret local foci of brain activity. Simply put, when it comes to which clusters of neurons are accountable for various processes, each of our brains is to some extent unique. But that's only half the battle. Worse, the exact picture of brain activity is continually changing due to plasticity.
The signal crossover point is the second and, to be honest, the most significant stumbling block. Essentially, this is the point at which an artificial electrical signal transforms into a biological nerve impulse and vice versa.
Artificial intelligence and a new circuit, or how to get rid of wires and doctors' brains
The transmitting and receiving elements of the neurocomputer interface will be totally split in the new artificial intelligence system, resulting in two completely independent communication methods.
From biological tissue to digital data
A network of inactive marker objects (ultra-small nano-sized beacons incorporated into live tissue) will serve as the receiving part (responsible for receiving a signal from biological tissue), the condition of which will be remotely monitored by an active external component of the system (scanner). A marker object is a physiologically neutral chemical structure that changes conformational state in the presence of a nearby weak electrical charge (in the field of vision of an external scanner) (a neuron at the stage of pulse generation). This technical innovation will allow the transmission of information about the existence of a signal to replace the direct transmission of a signal from living neurons to a computer system. This will cause the receiving part of the device to turn.
From machine to biological tissue
The transmitting part (on the way from the computer to the biological tissue) will remotely transmit the signal only to synapses, and not to neurons, as they are trying to do now. The transmitting part of the interface will use marker objects (beacons of the receiving part) as points of orientation in space (addresses of neurons) and sources of feedback.
Interestingly, the signal that will only be transmitted to synapses must be of a non-electrical nature. This will allow us to generate an artificial signal (nerve impulse) in the neurons of the brain that is completely identical to the physiological one. As a result, the neurons of the human brain will experience stimulation of synaptic plasticity and, as a result, they themselves will actively participate in the formation of lines of dynamic interaction with the transmitting part of the neurocomputer interface. The brain tissue itself will build a connection with the transmitting structure of the interface.
Furthermore, installing such an interface will not necessitate the use of highly qualified medical experts, making the system more accessible to the majority of consumers.