What are current problems in artificial intelligence?

One of the biggest problems in artificial intelligence is the philosophical problem for technical reasons. Many people's expectations for artificial intelligence arise from science (network) novels. Some experts argue that AI is dangerous for humans, better than humans, and ultimately will replace humans.

The reason behind these scenarios is often explained by techniques. As the computational speed is increasing year by year, we believe that experts will be able to simulate all aspects of human beings, including physical and psychological processes.

There are two interrelated problems in this theory. One is a binary system where computers use boolean logic (discrete mathematics). We do not yet know how the mind works so it is impossible to copy *. I can only simulate human behavior

In this regard, there is the fact that humans are not dual but imitating creatures. In other words, just like digitizing analog sounds and saving / recording music, you need to "sample" the simulation process and create the binary code. (During playback, the sounds that were saved digitally will be converted back to analog sound, you will need to listen to the sound.)

In order to understand the dichotomy of simulation and numerical value, it is necessary to understand the most complicated system of human biology such as nervous system and human brain. This is a difficult topic, but the next two articles will cover some of the related issues.

Artificial intelligence supports block chain development in two ways. First, excavation forces are applied to artificial intelligence model training to solve the problem of resource waste. The other is to establish a real wise contract. The current smart contract is not smart, it is just a digital contract. With the help of artificial intelligence, there will be truly intelligent smart contracts using machinery to manage day-to-day operations of contracts like smart DAO in the future. In investing in the artificial intelligence industry, he believes that there are two aspects that require attention. On the one hand, it depends on whether the company can obtain sufficient data, and artificial intelligence varies greatly depending on the size and quality of the data. On the other hand, in the process of obtaining data, can the company guarantee the user's privacy?

Ash was invited to block chain industry and artificial intelligence summit in 2018

Shan Qingfeng talks about the viewpoint of the combination of block chain and artificial intelligence, Shan Qingfeng has two main aspects, that is, the problem of artificial intelligence that the block chain needs to solve, and how artificial intelligence helps the development of the block chain I will think about it. He believes block chains will mainly support artificial intelligence development, data sharing, data tagging, data auditing and tracking on three sides. Artificial intelligence and some mechanical algorithms rely heavily on data, organizations and companies have a lot of data, but these data are isolated islands. As a result, the data becomes assets of the block chain and is useful for data sharing. Convert non-standard data to standard data and motivate data tags with block chain tags. Furthermore, in the process of using artificial algorithms with artificial intelligence, if the data is unsafe, it will produce bad results.

Ash was invited to block chain industry and artificial intelligence summit in 2018

A reasonable agent of artificial intelligence solves the problem in a similar way. You need to search the solution space to get the best results. This makes search algorithms very important in artificial intelligence research. This is what we are programming with AI about what is considered to be the best result and why a solution is more popular than other solutions. In this article we will look at how artificial intelligence looks for a solution to a specific problem. A simple reflex agent is programmed to perform certain actions on specific conditions, so we are not looking for the best possible solution, especially. Instead, the AI ​​agent works towards the goal and determines one action or set of actions leading to the goal. The set of actions leading to the goal is a solution to the given problem. Here, the agent must consider the influence of behavior on the future state.