Definition of AI
AI, full name is artificial intelligence. It is a new technology science to research and develop the theory, method, technology and application system for simulating, extending and expanding human intelligence. Since the birth of artificial intelligence, the theory and technology are increasingly mature, and the application field is also expanding. It can be imagined that the technological products brought by artificial intelligence in the future will be the "container" of human intelligence.
Artificial intelligence is a very challenging science. People engaged in this work must know computer knowledge, psychology and philosophy. Artificial intelligence includes a wide range of science, which is composed of different fields, such as machine learning, computer vision, etc. in general, one of the main objectives of artificial intelligence research is to enable machines to be competent for some complex work which usually needs human intelligence to complete.
The development of AI
In 1950, a senior named Marvin Minsky (the father of artificial intelligence) and his classmate Dunn Edmund built the world's * * * neural network computers. Also in 1950, Alan Turing, known as the father of computers, put forward a remarkable idea, Turing test. According to Turing's idea, if a machine can talk to human beings without being identified as a machine, then the machine has intelligence. In this year, Turing boldly predicted the feasibility of a real intelligent machine.
Time has jumped to the 1970s, and artificial intelligence has entered a period of difficult and dangerous years. As for the research of artificial intelligence, researchers underestimated the difficulty and lacked funds. As a result, the cooperation plan with the United States Defense advanced research program failed, and the pressure of public opinion began to slowly press on the side of artificial intelligence, resulting in a lot of research funds being transferred to other projects, which also worried about the prospect of artificial intelligence.
AI industry is facing decline, but technology will not stop because of external factors, until the early 1980s, AI industry began to rise
Today, in the nearly 70 years of development of artificial intelligence, scientific researchers and technicians continue to break through obstacles, so that we can see the brilliant achievements of artificial intelligence today. In 2016, Google alphago defeated Lee Shiyun of South Korea. It is also a landmark symbol of artificial intelligence surpassing human beings.
Current situation of artificial intelligence industry
At present, the development of artificial intelligence industry is mainly due to the proposal of deep learning algorithm. It is a technological breakthrough to realize large-scale computing based on the amount of data and computing power. As a super artificial intelligence, there is still room for further breakthrough in the basic theoretical research on the origin of consciousness and the mechanism of human brain.
At present, apple, Google, Microsoft, Amazon and Facebook, without exception, have invested more and more resources to seize the AI market and even transform themselves into an AI driven company as a whole. "Bat", the domestic Internet leader, also takes artificial intelligence as a key strategy, actively layout the field of artificial intelligence with its own advantages.
Nowadays, the development fields of the start-ups in China's artificial intelligence industry are different. There are the most start-ups in the field of computer vision, followed by service robots, and the third is voice and natural language processing. Intelligent medicine, machine learning, intelligent driving and other fields are also relatively popular. Computer vision technology is one of the important core technologies of artificial intelligence, which can be applied to security, finance, hardware, marketing, driving, medical and other fields. At present, the level of computer vision technology in China has reached the world's leading level. The main reason why it has become the most popular field is its extensive commercial channels and technical basis.
The AI industry chain can be divided into infrastructure layer, application technology layer and industry application layer. Basic layer: it mainly includes basic data providers, semiconductor chip providers, sensor providers and cloud service providers; technology layer: it mainly includes voice recognition, natural language processing, computer vision, deep learning technology providers; application layer: it mainly integrates AI related technologies into its own products and services, and then cuts into specific scenarios. At present, auto driving, medical treatment, security, finance, marketing and other fields are generally optimistic.
Future trend of artificial intelligence
Artificial intelligence is the simulation of the information process of people's consciousness and thinking. Artificial intelligence is not human intelligence, but it can think like human beings and may surpass human intelligence. Robot is a form of artificial intelligence. It is an automatic machine that can imitate some human activities. Generally, it can realize walking and operation of production tools and other actions. It can be used to replace people in the environment that people can not adapt to. Modern robots are equipped with electronic computers. Through programming, they can have a certain degree of artificial intelligence, such as recognizing languages and images, and making appropriate responses.
In the past, scientific and technological progress mainly refers to the improvement of the ability to perform the designated tasks. Today's artificial intelligence gives machines the ability to respond and adapt to optimize output. Through the combination with Internet of things, robotics and other technologies, artificial intelligence can construct an integrated information physical world. With the rapid development of artificial intelligence, it is expected to be widely used in many industries and scenarios around the world, especially we will see a lot of human work replaced by machines. Of course, technical feasibility is only one factor affecting the speed and degree of automation
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