Human Brain and Computer: We are nearing the creation of the technology that will connect computers and the human brains system into one complex? What happens to a person after interacting with an electronic device? How can a computer system deal with the influx of data generated by billions of neurons that are alive? I’ll try for answers in the article.
A new kind of artificial intelligence is expected to develop into an electronic bio-bio hybrid where the brains of living humans and a computer can collaborate. This means that a new kind of AI will emerge an individual AI.
- Know more about:
- 16 Mind Tricks to Get Out of Your Comfort Zone
- 5 Key Trends For The Future Of AI That Change The World
- Best Brain Food 2022: Foods that Increase Brain Power
Human Brain and Computer:
Combining fundamentally different elements (a living brain as well as electronics) and we can observe how the emergence process can work (the creation of new characteristics that aren’t inherent to the components that are combined).
AI helps to connect human brains and computer
Artificial intelligence that is bioelectronic hybrids will have major advantages over the human brains as well as any other computer system. We also discussed certain technical characteristics of a brand new human brains-computer interface.
What is the future for us all? Who will we become?
I’ll declare what I believe is that we’ll be changing quite a bit. I do not want to act as a moralist or attempt to satisfy everyone. As a doctor and scientist, I know that the development of science and the birth of new technologies cannot be stopped or delayed for moral or spiritual-philosophical reasons. Anyone with an individual artificial intelligence will never be kinder or more evil, but he will grow more powerful. This is because I know that the factor in human brains strength isn’t within the muscles but in our heads.
However, the most important question is whether a person with a unique artificial intelligence is going to be better than the average person. Most people are aware of the significance of this and don’t realize how massive the potential revolutions are.
We’re anticipating the inevitable change that is already happening.
If you examine the human spirit it is clear that the most significant distinction between us and our species is our ability to alter the material world and the surroundings around us.
Everything we design–houses garments, and mechanisms are the result of our human brains’s efforts, the direct result of our minds that, by inventing each time, transform us just by a tiny amount.
The fact is that the inventions we create alter the way we think about ourselves
A man dressed in clothing is distinct from a naked man and a person living in a modern dwelling is different from one who lives in the wilderness. Someone driving a vehicle over some time will begin to feel different than one who walks throughout his entire life.
The same applies to the computer
Look around you. All of us spend a significant amount of time using phones, computers, and other electronic devices. We’re getting used to constantly being in contact with the technological devices that we design and this has started quite recently. The world is changing right with our own eyes, and the reality that eventually our human brains will be fully integrated with electronic systems is a certain thing that will mark the beginning of a new form of AI, Artificial Intelligence composed of a computer and human brains.
Take a look around and you’ll be surrounded by millions of people whose attention is focused on the display of their laptop or smartphone. They all are proof of the inevitable connection to an electronic information system.
I’ll go on: ” The moment we consciously picked up a stick and turned it into a tool, the creation of individual artificial intelligence became a matter of time.”
Do you think that personal AI is a novel concept?
In fact, over the last 65 years, we’ve done everything we can to make this concept a reality as soon as we can!
Let’s all remember how it went
The idea that led to the creation of artificial intelligence was first introduced in 1956 following an event called the “Dartmouth Seminar,” a conference on artificial intelligence held at Dartmouth College.
The original idea was to design a device that could replace the human calculator. In the context of this idea, it was planned to build a machine capable of mimicking the variety of neural connections by using an artificial neural network.
In the last decade of the eighties instead of constructing an unreliable computing system Information processing became the main objective. The primary difference between newer systems was the application of flexible algorithms.
At the start of the 20th century thanks to the exponential growth of computing power, a brand innovative concept emerged, that is now referred to as machine learning. The new algorithm has not just retained its previous ability to adapt, but it also was able to alter the limit parameters and alter the range of possible answers.
Then, due to the development of high-performance computing systems, it was possible to make machines learn, and build up experiences using massive databases and multilayer neural networks.
This resource-intensive process was referred to as deep learning. One good example of this modern technology is the Google instant translator system. Instead of delving into and defining the logical connections within the natural language structure the latest model from Google provides a straightforward comparison of the ready-made versions of the language used in the original.
The method is based using the concept of a black box and while doing so, it is impressive for its precision and effectiveness.
A similar method was employed by DeepMind when it created an artificial intelligence for playing Go. The system ( deep reinforcement learning) makes use of two of the deep neural network simultaneously (one analyses the position while the other analyzes the strategies utilized in the game’s protocols from the past).
It is important to note that at each stage we are getting further and further from the notion of creating an alternative to us, namely technological AI. Instead, we are working to build an intelligent tool that can assist us in solving certain problems.
The past years suggest that we require not a rival but rather a tool – – a brand new technology that can help us solve various issues!
The human brains-computer interface that is coming to market will turn into a tool like this. This is the reason why the human brains can transform an electronic device into a part that is part of our nervous system.
Functionally, the individual artificial intelligence is assessed as a set of deep learning software that the human brains can create and evolve by itself without the involvement of third-party programmers. This is possible due to an interface between the human brains and the computer.
Does a computer system have the capacity to manage the volume of data generated by billions of neurons?
The human brain is home to around 8 billion neurons, however, we only care about just a small portion, which is around 16 billion neurons in the cortex of the human brains. Although technically, the interface of the individual artificial intelligence can be used to follow the response of a single neuron in actual practice, this kind of precision is not needed. The use of neural groups that number thousands of neurons will offer a decent amount of clarity in the formulation and interpretation of signals.
The scanner for the human brains-computer interface acts as a gateway and controller of the quantity of data that is incoming.
The primary component that makes up the device is the scanner which detects the information contained in molecular beacons (binary markers) which are injected into human brains tissue. The core in the scanner is a large sensor network built on specifically modified, well-insulated carbon nanotubes. In the test version, this component could be found on the epidermis’ surface. In the version that is working the carbon nanotubes is located in the inner layer of the epidermis (in the fibroblast layer).
The process of installation of the scanner will be similar to the method of tattoos, however, it is likely to be less difficult to apply the scanner in terms of the invasiveness (injury) because the immune system’s cells system (macrophages) won’t be in a position to “eat” particles of the scanner’s material.
It is crucial to realize that the strength of the flow of information from human brains neurons is not only dependent on the number and the activity of the beacon molecules, but also on the number of fixation points for signals and the rate of sampling on the scanner. To function properly, the scanner needs to be kept up-to-date at a rate that is a minimum of 250 Hz however at crucial times (for instance, during a real-life fight) the frequency could rise due to a shrinking of the scanner’s bandwidth. Additionally, the system’s architecture offers the possibility of altering these parameters not just to decrease or increase the amount of data that is incoming but also to reduce distortion artifacts.
So when you change the scanner’s sensitivity, or refresh rate the amount of data will always be exactly in line with the capabilities of the scanner.