Artificial intelligence (ArTIficialIntelligence), English abbreviation for AI. It is a new technical science that studies and develops theories, methods, techniques, and applications that simulate, extend, and extend human intelligence.

Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that responds in a manner similar to human intelligence. Research in this area includes robotics, speech recognition, image recognition, Natural language processing and expert systems. Since the birth of artificial intelligence, the theory and technology have become more and more mature, and the application fields have been expanding. It is conceivable that the technological products brought by artificial intelligence in the future will be the "container" of human wisdom. Artificial intelligence can simulate the information process of human consciousness and thinking. Artificial intelligence is not human intelligence, but it can be like human thinking, and it may exceed human intelligence.

Artificial intelligence is a challenging science, and people who do this work must understand computer knowledge, psychology, and philosophy. Artificial intelligence is a very broad science that consists of different fields, such as machine learning, computer vision, etc. In general, one of the main goals of artificial intelligence research is to make machines capable of doing what is usually required by human intelligence. Complex work. But different eras and different people have different understandings of this "complex work." [1] In December 2017, artificial intelligence was selected as one of the “Top Ten Chinese Media in 2017”.

For example, heavy scientific and engineering calculations are supposed to be undertaken by the human brain. Today, computers can not only perform such calculations, but also can do it faster and more accurately than the human brain. Therefore, contemporary people no longer regard this calculation as It is a "complex task that requires human intelligence to complete." It can be seen that the definition of complex work changes with the development of the times and the advancement of technology. The specific goal of the science of artificial intelligence has naturally evolved with the changes of the times. On the one hand, it continues to make new progress, on the other hand it turns to more meaningful and more difficult goals.

Often, the mathematical foundations of "machine learning" are "statistics," "information," and "cybernetics." Also included are other non-mathematical subjects. This type of "machine learning" is highly dependent on "experience." Computers need to constantly acquire knowledge and learn strategies from the experience of solving a type of problem. When encountering similar problems, use empirical knowledge to solve problems and accumulate new experiences, just like ordinary people. We can call this type of learning "continuous learning." But in addition to learning from experience, human beings will also create, that is, "jumping learning." This is called "inspiration" or "enlightenment" in some cases. All along, the hardest thing for computers to learn is the “enlightenment”. Or, strictly speaking, it is difficult for computers to learn “not dependent on quantitative change” in terms of learning and “practice”. It is difficult to go directly from one “quality” to another, or directly from a “concept”. Go to another "concept". Because of this, the “practice” here is not the same as human practice. The human practice process includes both experience and creation. This is what the intelligent researchers dream of.

In 2013, SC WANG, a data researcher at the Emperor Data Center, developed a new data analysis method that derived a new method for studying the properties of functions. The authors found that new data analysis methods provide a way for computer science to “create”. In essence, this approach provides a fairly effective way to model the "creativity" of human beings. This approach is given by mathematics and is the "capability" that ordinary people cannot possess but the computer can have. Since then, the computer is not only good at calculation, but also good at creating because of good calculations. Computer scientists should categorically deprive the "skilled" computer of its ability to operate too comprehensively, or the computer will one day "anti-capture" humans.

When looking back at the derivation process and mathematics of the new method, the author expands his understanding of thinking and mathematics. The mathematics is simple, clear, reliable, and strong in pattern. In the history of the development of mathematics, the brilliance of the creativity of mathematics masters shines everywhere. These creativitys are presented in various mathematical theorems or conclusions. The most important feature of mathematical theorems is that they are based on some basic concepts and axioms, which are expressed in a modular language and contain rich information. It should be said that mathematics is the most simple and straightforward reflection of (at least one type of) the discipline of creativity.

Hardware has grown stronger over the years, and chip makers, including NVIDIA, are constantly improving their products to better accommodate the needs of AI computing. In many areas, larger data sets are already being trained more widely.

In 2012, Google’s AI project attracted widespread attention, when it used 10 million photos from YouTube to train a neural network of 16,000 CPUs and taught them to identify cats in the picture. But later in the year, the field of picture recognition made another breakthrough. At that time, the 8-layer neural network trained on 2 GPUs outperformed all competitors, and the images were accurately classified based on content. A few months later, Google acquired the neural network startup DNNresearch, which was born in the Department of Computer Science at the University of Toronto.

Since then, AI activities have continued to accelerate, and the world's leading technology companies are rushing to enter this field. At the same time, many of the world's most listed technology companies are constantly releasing their latest research results, which also increases the charm of AI.

Social issues are related to a region, country, and even the world. Now it mainly includes environmental issues, population issues, resource issues, human security issues, and so on! In the face of these major, wide-ranging and high-risk issues, human capabilities cannot be effectively resolved. But with the development of artificial intelligence, these problems will be effectively dealt with or even solved. For example, the development of face recognition, speech recognition and other technologies to count and screen the population of various countries can effectively alleviate the entry of terrorists in various countries. If the environment deteriorates, the environmental problems in bad areas will be improved. Transform uninhabitable places into places where you can live, such as the desert. These projects are often expensive and difficult for ordinary people to work, so they can use smart machines for work in unconventional environments. The issue of population security is an important and difficult problem in society, including traffic safety, social violence and so on. Introducing artificial intelligence into the social system can better improve and control road traffic and social security protection systems. It mainly uses artificial intelligence's high precision, high technology, low risk and other characteristics to replace people to do things that cannot or are not easy to do.

Public utilities are a basic undertaking involving people's livelihood, national stability and development, and social efficiency. Today's work is mainly for the service-oriented cause of the people. The use of artificial intelligence can promote the development of public utilities with high efficiency, precision and humanity.

The value of artificial intelligence social public utilities can be seen from three aspects. First, for demographics and processing, the current population is a big problem. China now has 1.4 billion people, but because of many restrictions, not everyone can get the care of the country. In addition, there are many problems in the society such as human trafficking and missing people. Demographics and services to the general public are severely restricted. The research in the field of artificial intelligence identification is an effective way to solve such problems. For example, face recognition, palmprint recognition, retina recognition, etc., using these techniques can effectively identify a large number of complex problems of missing persons, authentication, and the like. The second is information processing, and the 21st century is the era of big data. It can be said that who has mastered the data and mastered the data processing method is to grasp the development trend of the 21st century. In the field of artificial intelligence, intelligent processing such as intelligent search can be thought of as human beings to extract effective data in big data and process the data of these paper mountains and seas. The third is to get along with others. Artificial intelligence can completely avoid races, language and cultural differences between countries, thus making the world truly a global village. There is also a serious social problem in the society, that is, the imbalance of population structure and the problem of widowed and lonely people. These problems are not problems of one person or policy, nor are they completely solved by someone or policy, but with the help of intelligent robots. under. Almost everyone can get the formal integrity of a family, of course, can not consider the exclusion of human factors, ethics and morality.

Experimental studies have shown that the development of the human brain is generally only within 5%, and the development of human intelligence is so slow. However, artificial intelligence is different. Since the concept of artificial intelligence was put forward in 1956, artificial intelligence has developed many branches and theoretical methods under the efforts of various countries. Recently, the National Institute of Information Research of Japan designed a university-based intelligent robot under the research of four or five years. Although the scores of college exams taken in the previous two years were very low, this year's test scores reached 511 points, the first time higher than the average score of 416 points, and the total score of 950 points. The university exam subjects tested include mathematics, physics, and English. This test score has an 80% chance of entering 411 private universities and 33 national universities in Japan. Artificial intelligence robots score high on math and history exams, but are completely unable to answer physical questions. According to the National Institute of Information Research in Japan, artificial intelligence robots do not have the ability to process language, so they do not reach an average score in this respect. Although the results in terms of physics are not very good, this achievement shows that using intelligent robots to explore the laws of the universe and discover social laws is an aspect with optimistic prospects.

Artificial intelligence plays an important role in the development of the country and the development of the world. The use of artificial intelligence, such as human inhumanity, technical accuracy, and high potential, can effectively solve various problems. In these aspects, the social value of artificial intelligence can be clearly seen. If it can effectively and practically control the research and development of artificial intelligence, artificial intelligence will be a sword for us human beings.

It should not be overlooked that when thinking about the positive benefits of artificial intelligence, we and our country should also consider the various social, moral and environmental problems brought about by artificial intelligence. Can not pay attention to efficiency and ignore the hazard, if artificial intelligence is a sharp sword, then this sword is double-edged. The film "Mechanical Ji" shows both positive and negative issues for the ultimate development of intelligent robots. Being a human being who can think and feel like a human being, whether it exists as a human being after being covered with human skin or in the presence of a robot will be the ultimate problem facing us human beings.

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