Let's first see the 10 differences between artificial intelligence and human intelligence so that we can program humane and conscientious robots and machines to help people. So let's reduce the risk of artificial intelligence destroying the human species. In this article, we will also introduce the difference between quantum intelligence and classical artificial intelligence.
So what is artificial intelligence? We call artificial intelligence to algorithms with human intelligence and software that imitates the human brain. The greatest feature of human intelligence is the ability to learn: It either learns by itself or learns when someone shows it. Artificial intelligence is also made up of software that learns, and that's why machine learning is the foundation of artificial intelligence.
In this article, we will examine the difference between artificial intelligence and human intelligence. Thus, we will learn how to teach students to code with human resources for digital transformation, industry 4.0 and innovation in education; because in the teaching profession with counseling, learning never ends. In order to teach, we must constantly learn.
We'll start with neural networks that mimic the human brain. Then we'll move on to topics such as form and function, processing and memory capacity, connectivity, power consumption, artificial intelligence architectures, network intelligence, operating speed, learning techniques, and data-driven decision-making resolution. Remember that you will program the artificial intelligence to work, help someone or do a job. These are the criteria you should base on. Come on then!
That's right: We always call artificial intelligence artificial. I even went further and said imitation. I said it mimics human intelligence. So, what can we do or cannot do with artificial intelligence, but become "artificial" in the face of human intelligence? It's not just because the human brain is made of flesh and living soft tissue, while artificial intelligence is made of silicon-based circuits. There is a bigger difference:
The main difference is in algorithms; that is, the reasoning processes we use with artificial intelligence are different from the reasoning and information-processing processes of the human brain, which is also very interesting from a philosophical point of view. Think about it! You are imitating the human brain with something that works differently than the human brain.
This is also an important difference in terms of robotic automation: While robots mimic the human body, movable joints and limbs similar to our skeleton are used. Artificial intelligence algorithms are actually quite foreign to us. As a matter of fact, when we say artificial intelligence today, we mean neural networks. These are algorithms that mimic some functions of the human brain, and the difference starts here:
Artificial Intelligence and Neural Networks
Neural networks are made up of virtual neurons. They are interconnected just like neurons in the human brain (even the wiring diagram is as similar as possible to neurons in the cerebral cortex). They are also stacked layer by layer, which you can see in the drawing from left to right. Virtual neurons operate by transmitting data, again similar to the human brain.
Whereas, neurons in neural networks are short codes that form coding lines with artificial intelligence and generally take a value between 0 and 1. Although neural networks are serial computers and classical computing systems, let's make a note here:
The sum of the probabilities that make up the wave function in quantum physics is also 1, and they take values between 0 and 1.
Machine Learning with Artificial Intelligence
Virtual neurons operate by transferring data via virtual connections; that is, they reason and, for example, decide by looking at these weights how to optimize their route to solve traffic congestion. Whichever data transmission path dominates, the solution produced by that reasoning result is selected.
However, we mentioned that virtual neurons are arranged in layers, right? This also corresponds to the hierarchical order of thinking. In short, while collecting data and learning something with artificial intelligence, we decide how relevant the data we pull from the environment is to the subject, by looking at the weights in virtual connections.
For example, the neural network that needs to resolve traffic congestion will not accept the color of cars as relevant data and will instead consider parameters such as the distribution, orientation and speed of the vehicles. If we show this with a drawing, the data on automobile colors in the object recognition big data from the cyber cameras on the right of the diagram will be eliminated by taking values close to 0.
Feeding Back with Artificial Intelligence
In any case, these weight values are free parameters of neural networks (i.e. neural network AI learns using these parameters at its own discretion. In this example, it learns how to optimize routes to resolve traffic).
So how does the learning process take place? If you want to find missing values that minimize a particular function while training the neural network. We call these functional losses, and it's actually a very simple concept. Under normal circumstances, the color of cars has nothing to do with traffic congestion.
As a matter of fact, the neural networks' learning of this unnecessary data causes them to not be able to fulfill their original functions; that is, they cannot solve the traffic congestion by learning the colors of the cars. Therefore, we call these values close to 0 loss of function.
Neural networks learn by failing; because your comfort zone is comfortable and beautiful, but it is barren soil where the grass does not grow. So my advice to human resources professionals, teachers and digital transformation consultants is to learn to fail first.
Teach staff and students to learn by trial and error, fail and fail. Thus, we saw the main differences between artificial intelligence and human intelligence, so let's list these 2 main differences: Learning methods are different and artificial intelligence is not conscious.
I will share 10 differences between artificial intelligence and human intelligence in my post tomorrow. I hope it has been useful for you so far. Waiting for your likes and comments.
