No doubt, the human brain is the most advanced yet complicated object in the entire world. Scientists have been trying to decode the formula and release the possibilities that can assist human lives. Over the years, human brains have evolved a lot, and additionally, they have learned how to survive through tough times. Whether you are considering curiosity towards knowledge or adapting to the hurdles of nature.
However, with the advancement in technology, nothing seems impossible. When humankind tries to replicate anything inspired by nature, it has succeeded. Perhaps, it might have taken a long period of time but, we have experienced designing flights that have been influenced by birds.
Coming back to bridging the gap between the human brain and artificial intelligence, can machines think like a human brain?
Artificial Intelligence is powered by computational methods, discrete algorithms, and statistical models, and they can transform this dream into reality. Well, we are not far away from witnessing the similarity between the human brain and AI-driven machines. On the other hand, the neural networks of human brains have assisted in artificial intelligence research.
How can Artificial Intelligence Research Accompanied by Human Brain Assistance Help?
Let’s take an example: renowned scientists are trying to help people with disabilities or paralysed limbs. According to UAE Technician data experts, recent research has started recording the activities or patterns of the brain that are dealing with paralysis. This research aims to collect and analyse data to perform general limb activities with the synthesis of AI-powered robotic limbs.
However, this hasn’t started rapidly. The initial challenge in communicating AI and the human brain was making the machine capable of learning. The first generation consists of machine learning systems. Machine learning signifies the core part of technology where computer programs can modify or learn the possibilities when they discover new sets of data.
To specifically detect the use of machine learning, you can easily consider seeing obstructions, identifying objects, etc. However, it relates to determining relationships among different variables and finding out correlation properties.
The prime objective of Artificial Intelligence is to develop machinery or computers that can take decisions just as human biological brains. Apart from decision-making, perceptions, control, and recognition are also equally significant. The success of artificial intelligence is to build accurate, self-healing, and reliable computer systems.
Additionally, the human nervous system has directly inspired in structuring the artificial neural networks. This has made machines go through patterns, speech, and images. Facebook facial recognition, DeepFace systems are a few examples of learning patterns and images by deploying artificial neural networks.
Why is Artificial Intelligence Linked to Human Brains?
Human brains consistently keep thinking. As per the software analysis of thinking, it has two different layers — One is hierarchical, and the other is a functional structure. However, thinking can appear as a combination of these two. Coming to the hierarchical approach, thinking comes in two-fold layers. The first wrap is of language, and the core is the consciousness or the content.
When you look into the functional and structural approach, language and content are internal layers. Whereas the external layer is made up of thinking and consciousness, or you can call it intelligence. Every layer is dependent on the other, and any layer stands vague if the other doesn’t cooperate. At the language layer, activities are carried out by the bioelectrical movement. In simpler words, whenever people think about anything, definite electrical signals run through the brain.
It is confined within the scopes of neurological affairs; it also reflects in the physical activities. The thinking language of the brain depends on chemical, physiological, and physical movements. However, this can’t be seen while dissecting the brain. So, the functionality of the brain lies under electronic movement and its coding rules.
How is Artificial Intelligence inspired by human intelligence?
The technology hasn’t gone independent yet. It’s still a part of human intelligence. You can consider AI as an expansion of the human brain, and social life incidents have added an incremental level of difficulty. And, they require more precise measurement and control. Human brains can’t deal with them alone, and there are limitations to the scope of human intelligence. Therefore, artificial intelligence can solve the issues by brain expansion technologies both in quantity and quality.
Cognitive Skills that are Possible with Artificial Intelligence
Human brain cognitive skills are challenging, and captured knowledge is one of them. Basically, it has never-ending possibilities and opportunities when it comes to studying brain activities. It is not only about the communication among the neurons of the brain and nervous system. But, Artificial Intelligence has already stepped its foot in the following human brain’s cognitive skills.
Have you ever imagined how the brain instructs us to focus only on one subject at a time when we want to pay attention? Well, the same methodology has inspired the convolutional neural networks or CNNs. Attention has turned into a sensation in the field of deep learning.
To mimic the attentive section of brain intelligence, CNN models are deployed to produce a schematic representation. Additionally, the CNN models are trained to ignore the irrelevant parts of the provided information. This helps in improving the capability of detecting diverse objects in a pattern or image.
Human brains are capable of learning something new without forgetting those skills that they have already learned. On the other hand, experts are trying to minimize the catastrophic forgetting issue related to neural networks. Whenever the neural network proceeds towards the second task and shifts its parameters, the configuration that was used for the first task gets overwritten.
The continual learning aspect of the human brain has inspired deep learning schemes named elastic weight consolidation. It slows down the learning within a subset that contains the network weights. These network weights signify the previous solutions. Thus, multiple tasks are possible without deploying extra weight to network capacity. Weights get shared effectively among tasks, and continual learning proceeds according to the elastic weight consolidation algorithm.
Artificial Intelligence & its Futuristic Advancements
The current progress of Artificial Intelligence is still confined within the weak AI zone. Artificial Intelligence can simulate and expand a few low-end human intelligence; they are feelings, programmed logical reasoning, and perceptions.
Coming to the high-end perspectives of human intelligence, such as imagination, creative intelligence, potential intelligence, etc., can’t be simulated by artificial intelligence, still now.
Cracking and decoding the human brain’s activities are a black box for artificial intelligence. Many of us fear the power of artificial intelligence whether it can surpass the intelligence of the biological human brain. According to futurists, it can go up to 2045, and artificial intelligence would find its profound pace in the industry and mankind.
Strong artificial intelligence needs a brain-computer interface. The purpose of the brain-computer interface is to build a direct connection between external devices and the biological brains of humans and animals.
Elon Musk founded Neuralink, which is a brain-computer interface organization. The technology used there makes use of a thread measuring four to six micrometer in thickness to transfer brain signals to dedicated chips. Machines are manipulated by human brains, and it is expected to replace some of the brain activities with advanced devices.
Expected Outcomes from Artificial Intelligence Assisted by Human Brain Research
The human-computer duo would conclude any decision faster. We can achieve cutting-edge technology of non-verbal communication. AI is a powerful tool, and if deployed appropriately, miracles can take place. It can improve physical fitness and ability. Additionally, it would assist in the industrial revolution. A social change is waiting for us with artificial intelligence, brain-computer interface, nanotechnology, and biotechnology.
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