Artificial Intelligence and Angelology

Abstract of artificial intelligence and astronomy: Recently, as I became more computer based I noticed an interesting similarity between computer mechanics and the metaphysical aspects of the university that made Aquin. Supporters who do not have artificial intelligence theory may be interested, but this article extends some of the similarities of Aquinas. The philosophical newsgroup on the internet is titled "comp.ai.philosophy". For example, the problem of this group is constantly changing. The proximity to human consciousness of artificial intelligence (especially computers).

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