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#artificial intelligence (AI) Artificial intelligence is a hot topic today The term "artificial intelligence" was first coined at the Dartmouth Society in 1956, and since then, researchers have developed a number of theories and principles and the concept of artificial intelligence has expanded. Artificial intelligence, the English full name of Artificiallntelligence, abbreviated as the well-known Al, is mainly used to simulate, extend and expand the human intelligence theory, methods, technologies and application systems are studied and discussed. For the definition of artificial intelligence, there are generally two opinions: one is that artificial intelligence is a discipline about knowledge, that is, how to represent knowledge and how to acquire knowledge and use knowledge science; The other is artificial intelligence, which studies how to enable computers to do intelligent work that only humans used to be able to do. But either way, it is a branch of computer science that seeks to understand the nature of intelligence and produce a new kind of intelligent machine that can react in a similar way to human intelligence. The definition of artificial intelligence can be divided into two parts, namely "artificial" and "intelligent". As for "artificial ", it is not controversial. Sometimes we have to think about what people can make, or whether people are intelligent enough to create artificial intelligence, and so on. But in general, "artificial system" is the artificial system in the usual sense, the birth of "intelligence ", there is a great dispute. Because it involves issues such as consciousness, self, mind (including unconscious_mind) and so on. The only intelligence humans can understand is the intelligence of humans themselves. But we all have such a limited understanding of our own intelligence, and of the elements necessary to make up human intelligence, that it is difficult to define what "artificial" intelligence is. There are two ways to implement artificial intelligence. One is to use traditional programming techniques to make the system appear intelligent, regardless of whether the methods used are the same as those used by human or animal organisms. This approach, called the Engineeringapproach, has worked in areas such as text recognition and computer chess. The other is the Modelingapproadh), it not only depends on the effect, but also requires that the method of realization is the same or similar to the method used by human beings or biological organisms.    人工智能文章

The term "artificial intelligence" was first coined at the Dartmouth Society in 1956, and since then, researchers have developed a number of theories and principles and the concept of artificial intelligence has expanded. Artificial intelligence, the English full name of Artificiallntelligence, abbreviated as the well-known Al, is mainly used to simulate, extend and expand the human intelligence theory, methods, technologies and application systems are studied and discussed. For the definition of artificial intelligence, there are generally two opinions: one is that artificial intelligence is a discipline about knowledge, that is, how to represent knowledge and how to acquire knowledge and use knowledge science; The other is artificial intelligence, which studies how to enable computers to do intelligent work that only humans used to be able to do. But either way, it is a branch of computer science that seeks to understand the nature of intelligence and produce a new kind of intelligent machine that can react in a similar way to human intelligence. The definition of artificial intelligence can be divided into two parts, namely "artificial" and "intelligent". As for "artificial ", it is not controversial. Sometimes we have to think about what people can make, or whether people are intelligent enough to create artificial intelligence, and so on. But in general, "artificial system" is the artificial system in the usual sense, the birth of "intelligence ", there is a great dispute. Because it involves issues such as consciousness, self, mind (including unconscious_mind) and so on. The only intelligence humans can understand is the intelligence of humans themselves. But we all have such a limited understanding of our own intelligence, and of the elements necessary to make up human intelligence, that it is difficult to define what "artificial" intelligence is. There are two ways to implement artificial intelligence. One is to use traditional programming techniques to make the system appear intelligent, regardless of whether the methods used are the same as those used by human or animal organisms. This approach, called the Engineeringapproach, has worked in areas such as text recognition and computer chess. The other is the Modelingapproadh), it not only depends on the effect, but also requires that the method of realization is the same or similar to the method used by human beings or biological organisms.    #artificial intelligence (AI)

#Artificial Intelligence Artificial Intelligence and AI has come into the view of the general public, we can see a lot of AI-related products in our life. For example, Siri, AI photo shooting, AI retouching... This article will be a complete answer to your questions. The content of the article will allow non-technical friends can also easily understand. AI's dependence on data is equivalent to human dependence on air Currently (as of 2019) is the most popular era of deep learning, deep learning in various fields, although it has demonstrated a very powerful ability, but not everyone can play deep learning, because it requires a huge amount of data with annotations, this condition is not available to everyone. Simply make an analogy, the lion's power is very strong, the dog's power is much weaker in comparison. Although the lion's fighting strength is very strong, but the lion needs to eat a lot of things in order to maintain combat strength. A dog, on the other hand, doesn't need to eat as much. If the lion is not given enough to eat, he may lie on the ground completely incapacitated. Deep learning is similar to a lion, and to get him to fight, you need to feed him a lot of data (the equivalent of food for a lion). Otherwise the best deep learning model will not be able to play any value

As the name suggests, artificial intelligence is the study of how to use machines to imitate the human brain in reasoning, designing, thinking and learning and other ways of thinking and activities, to help people solve some of the problems that need to be solved by experts, and in layman's terms, it is the use of computers to complete the intelligent activities of human beings. Finally, the use of a variety of automated machines or intelligent machines to imitate and complete the intelligent activities of adults, to achieve some kind of "machine thinking" or thinking automation. However, from an academic point of view, artificial intelligence encompasses a very wide range of no less than dozens of disciplines related to artificial intelligence, and the theoretical fields and application areas involved involve almost all human activities, and no human work can be separated from intelligence, so any field is a potential application area for artificial intelligence. For example, by applying artificial intelligence methods and techniques, various "machine expert" systems designed and developed on computers can mimic experts from all walks of life engaging in medical diagnosis, mass spectrometry analysis, mineral deposit exploration, mathematical proofs, home management, business decision-making and other mental work, and accomplishing certain tasks that require human intellect, the use of specialized knowledge and empirical skills to complete. In the construction of the information society, the application of the network is having a profound impact on people's work and lifestyle. The development of computer network technology is rapidly changing and alternating, and guaranteeing information security will become the demand of the public and the responsibility of the times. In this regard, artificial intelligence technology is a kind of reasoning and computing technology that imitates advanced intelligence. It has strong advantages in many practical control and management problems. If some algorithms and ideas in the science of artificial intelligence can be applied to computer networks, it will greatly improve the performance of computer networks and continuously improve the security of information.