THE MAKING OF ARTIFICIAL BRAIN WITH ARTIFICIAL NEURON NETWORK FOR BETTER ARTIFICIAL INTELLIGENCE (AI)
Considering the plan of the scientists to create more sophisticated artificial intelligence in the form of artificial brain that would be using a biological artificial system which will be based on the artificial neural network, the video released by the ‘nowthis’ has shown that steps are already being taken by the scientists to see the vision become a reality.
Biologically, a neuron is an electrically excitable cell that receives, processes, and transmits information through electrical and chemical signals. Synapses are the name of the special connections that do occur between two signals coming from the neurons.
Different neurons can connect together to form a neural circuit. They are the primary component of all the central nervous system which includes the brain and the spinal cord in any animal. The peripheral nervous system which comprises the automatic nervous system and the somatic nervous system.
The different types of specialized neurons found in the biological system are:
Sensory neurons: they are neurons that specialized in responding to one particular type of stimuli such as touch, sound, or light and all other stimuli affecting the cells of the sensory organs, and converts it into an electrical signal via transduction, which is then sent to the spinal cord or brain.
Motor neurons: they are neurons that receive signals from the brain and spinal cord to cause everything from the muscle contractions and affect glandular outputs.
Interneurons: they connect neurons to other neurons within the same region of the brain or spinal cord in neural networks.
Having known what the neuron does to the human biological system, the scientists said that creation of these special neurons could be used in the making of artificial brains and future robotic system.
THE MAKING OF ARTIFICIAL NEURONS
The making of artificial neurons had been a prediction within the scientists that could become the center of future technology especially regarding the trending technology of artificial intelligence (ai). Artificial neurons aim to become artificial cells that will perform all the functions that biological neurons would do, thereby causing future machines with AI equipped with artificial neurons would be acting exactly like humans and reason on their own and take actions that would base on perceived learning.
According to research, a scientist described artificial neurons as a mathematical function conceived as a model of biological neurons, a neural network that forms the elementary units of the artificial neural network.
The artificial neuron receives one or more inputs and sums them to produce an output. Usually, each input is separately weighted, and the sum is passed through a non-linear function known as an activation function or transfer function.
The artificial neurons transfer functions usually have a sigmoid shape, but they may also take the form of other non-linear functions, piecewise linear functions, or step functions. They are also monotonically increasing, continuous, differentiable and bounded. The threshing function has inspired building logic gates referred to as threshold logic; applicable to building logic circuit resembling brain processing. An instance is the memristors which had been extensively used to develop such logic operation in the recent times.
In other words, artificial neurons had been on the research list of the scientists with the aim of having machines functioning with neurons instead of written computer programs which is the case of the current artificial intelligence. The artificial neurons will create artificial brain working with billions of artificial neuron cells in a single brain to machine future machines superintelligence than one could imagine.
Though such imagination is yet to become a reality, current scientists are already making trials on it to see how possible it could be and so far no negative report had been heard in that regard rather a new video from a news body has revealed the recent process made in the making of artificial neurons used for testing purposes.
1000’s of simulated neurons in this #AI-chip, functions like a #human brain. >> @Intel via @MikeQuindazzi >> #ArtificialIntelligence #MachineLearning #NLP #MachineIntelligence pic.twitter.com/BSpoNodsmN
— Mike Quindazzi ✨ (@MikeQuindazzi) July 24, 2018
Philip is a graduate of Mechanical engineering and an NDT inspector with vast practical knowledge in other engineering fields, and software.
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