The Plausibility of Artificial Intelligence

Rationality of artificial intelligence can generate wisdom. You can realize the dream of artificial intelligence. Is it possible to increase intelligence by using inorganic substances? In this article I will show that artificial intelligence is certainly achievable and that human intelligence can produce intelligence using nonbiological materials. Let's start with the main theory about the philosophy of artificial intelligence: a paper by Church-Turing.

First, there are two types of artificial intelligence. It is a computer that can execute artificial intelligence, every human ability. This is in contrast to artificial narrow intelligence that a computer with artificial intelligence can do with human but can do only in a narrow range. - Steven Mnuchin Strategy finance minister Ben Thompson recently laughed at many Twitter posts as lack of understanding about AI was lacking. He said he does not care about artificial intelligence automation, but autonomous vehicles will move from the coast to the coast in the near future.

We are not doing "strong" artificial intelligence (also known as artificial intelligence) that can still accomplish all the intellectual tasks human beings can accomplish. However, a significant advance in artificial intelligence over the past few years shows that strong artificial intelligence can be achieved in the near future. Artificial intelligence requires appropriate machine learning algorithms, data and computational power. Most of today's most promising artificial intelligence techniques use neural networks. Neural networks can be small and simple, or large and powerful. The larger the neural network, the stronger it is. To achieve the limits of neural networks, and today's artificial intelligence functions, you need to use powerful computer chips.

Currently, artificial intelligence is mainly directed to convolution neural network, generated confrontation network (GAN), and deep learning. We classify all of these different machine learning methods as artificial intelligence, but they are quite limited. Whenever you create a GAN or a neural network, it is common to program the system to learn over time and divide it into so-called epochs. However, the system itself is not learned. We are forced to learn it

Artificial intelligence is divided into two different words "artificial" and "intelligent." The word "artificial" is self explanatory. This is what humans create. "Smart" means the ability to learn new situations, understand and deal with situations, and try out the situation. In this way, the entire term can be defined as a machine that humans can solve problems normally done with our natural intelligence. In the late 1950's, the father of artificial intelligence John McCarthy finally determined the concept of artificial intelligence. In the early 1950s British computer scientists called Alan Turing proposed Turing test as a measure of machine intelligence. But what is this related to artificial intelligence?