AI（Full name Artificial Intelligence）is a new technological science that studies and develops theories, methods, techniques, and application systems used to simulate, extend, and expand human intelligence. Artificial intelligence is a branch of computer science. It attempts to understand the essence of intelligence and produce a new intelligent machine that can respond in a similar way to human intelligence.

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What Is AI?
AI（Full name Artificial Intelligence）is a new technological science that studies and develops
theories, methods, techniques, and application systems used to simulate, extend, and expand
human intelligence.
Artificial intelligence is a branch of computer science. It attempts to understand the essence of
intelligence and produce a new intelligent machine that can respond in a similar way to human
intelligence.
Research in this field includes robotics, language recognition, image recognition, Natural
language processing, and expert systems, etc. Since the birth of artificial intelligence, the theory
and technology have become increasingly mature, and the field of application has continued to
expand.
It is conceivable that the technological products brought by artificial intelligence in the future will
be the containers of human wisdom. Artificial intelligence can simulate the information process
of human consciousness and thinking. Artificial intelligence is not human intelligence, but it can
think like humans and may exceed human intelligence.
Artificial intelligence is a very challenging science, and people who are engaged in this work must
understand computer knowledge, psychology, and philosophy. Artificial intelligence includes a
very wide range of sciences. It is composed of different fields, such as machine learning,
computer vision, etc.
Generally speaking, one of the main goals of artificial intelligence research is to make machines
competent for some tasks that usually require human intelligence. Complex work.

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The definition of artificial intelligence can be divided into two parts, namely artificial and
intelligent.
Artificial intelligence is the study of how to make computers do intelligent tasks that only humans
could do in the past. These statements reflect the basic ideas and basic content of artificial
intelligence.
That is to say, artificial intelligence is the study of the laws of human intelligence activities, the
construction of artificial systems with a certain degree of intelligence, the study of how to allow
computers to complete tasks that required human intelligence in the past, that is, the study of
how to use computer software and hardware to simulate certain human intelligence The basic
theories, methods and techniques of behavior.
Therefore, the research of artificial intelligence often involves the research of human intelligence
itself. Other intelligence on animals or other man-made systems is also generally considered to
be research topics related to artificial intelligence.
Artificial intelligence has received more and more attention in the computer field. It is also used
in robots, economic and political decision-making, control systems, and simulation systems.
Artificial intelligence is a branch of computer science and has been called one of the world's
three cutting-edge technologies (space technology, energy technology, and artificial intelligence)
since the 1970s.
It is also considered to be one of the three cutting-edge technologies (genetic engineering,
nanoscience, artificial intelligence) in the 21st century. This is because it has achieved rapid
development in the past 30 years, has been widely used in many disciplines, and has achieved
fruitful results. Artificial intelligence has gradually become an independent branch, both in theory
and practice. Into a system.
Artificial intelligence is the subject of studying the computer to simulate certain human thinking
processes and intelligent behaviors (such as learning, reasoning, thinking, planning, etc.). It
mainly includes the principles of computer realization of intelligence and the manufacture of
computers similar to human brain intelligence. Can achieve higher-level applications.
Artificial intelligence will involve disciplines such as computer science, psychology, philosophy,
and linguistics. It can be said that almost all disciplines of natural sciences and social sciences
have a scope far beyond the scope of computer science.
The relationship between artificial intelligence and thinking science is the relationship between
practice and theory, and artificial intelligence is at the technological application level of thinking
science. It is an applied branch.
From the perspective of thinking, artificial intelligence is not limited to logical thinking. It is
necessary to consider image thinking and inspirational thinking to promote the breakthrough
development of artificial intelligence. Mathematics is often regarded as the basic science of many
disciplines. Mathematics also enters the fields of language and thinking. Intelligence subjects
must also borrow mathematical tools. Mathematics not only plays a role in standard logic and
fuzzy mathematics but also in artificial intelligence subjects, they will promote each other and
develop faster.

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Science Introduction
Practical application
Machine Vision, Fingerprint Recognition, Face Recognition, Retina Recognition, Iris Recognition,
Palmprint Recognition, Expert System, Automatic Planning, Intelligent Search, Theorem Proof,
Game, Automatic Programming, Intelligent Control, Robotics, Language and Image
Understanding, Genetics Programming, etc.
Subject category
Artificial intelligence is a fringe subject, belonging to the intersection of natural science and social
science.
Subjects involved
Philosophy and Cognitive Science, Mathematics, Neurophysiology, Psychology, Computer Science,
Information Theory, Cybernetics, Uncertainty
Research category
Natural language processing, knowledge expression, intelligent search, reasoning, planning,
machine learning, knowledge acquisition, combined scheduling problems, perception problems,
pattern recognition, logic programming, soft computing, imprecise and uncertain management,
artificial life, neural networks, Complex system, genetic algorithm
Consciousness and artificial intelligence
In its essence, artificial intelligence is a simulation of the information process of human thinking.
There are two ways to simulate human thinking.
One is a structural simulation, which imitates the structural mechanism of the human brain to
create a brain-like machine;
The other is a functional simulation, which temporarily sets aside the internal structure of the
human brain and starts from its functional process to perform the simulation. The emergence of
modern electronic computers is the simulation of the human brain's thinking function and the
simulation of the information process of the human brain's thinking.
Weak artificial intelligence continues to develop rapidly, especially after the 2008 economic crisis,
the United States, Japan, and Europe hope to realize re-industrialization through robots.
Industrial robots are developing at a faster rate than ever before, which further promotes weak
artificial intelligence and related industries.
Many of the tasks that must be done by humans can now be achieved with robots.
The strong artificial intelligence is temporarily at a bottleneck and requires the efforts of
scientists and humans.
Intelligent simulation
Simulation of machine vision, hearing, touch, sensation, and thinking: fingerprint recognition,
face recognition, retina recognition, iris recognition, palmprint recognition, expert system,
intelligent search, theorem-proof, logical reasoning, game, information induction, and dialectical
processing.
Subject category
Artificial intelligence is a border subject, which belongs to the three interdisciplinary subjects of

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natural science, social science, and technical science.
Subjects involved
Philosophy and cognitive sciences, mathematics, neurophysiology, psychology, computer science,
information theory, cybernetics, uncertainty theory, bionics, social structure, and scientific
development.
Research category
Language learning and processing, knowledge expression, intelligent search, reasoning, planning,
machine learning, knowledge acquisition, combined scheduling problems, perception problems,
pattern recognition, logic programming, soft computing, imprecise and uncertain management,
artificial life, Neural networks, complex systems, genetic algorithms, the most critical problem of
human thinking is the shaping and improvement of the machine's autonomous and creative
thinking ability.
safe question
Artificial intelligence is still being researched, but some scholars believe that it is dangerous for
computers to have IQ, and it may rebel against humans. This kind of hidden danger has also
occurred in many movies. The main key is to allow the machine to not have the generation and
continuation of autonomous consciousness. If the machine has the autonomous consciousness, it
means that the machine has the same or similar creativity as humans. Protect consciousness,
emotions, and spontaneous behavior.
Implementation
There are 2 different ways of implementing artificial intelligence on a computer.
One is to use traditional programming techniques to make the system appear intelligent,
regardless of whether the method used is the same as that used by the human or animal body.
This method is called the Engineering Method (ENGINEERING APPROACH), it has made
achievements in some fields, such as text recognition, computer chess, and so on.
The other is the MODELING APPROACH, which not only depends on the effect but also requires
the realization method to be the same or similar to the method used by humans or biological
organisms. Genetic algorithm (GENERIC ALGORITHM, referred to as GA) and artificial neural
network (ARTIFICIAL NEURAL NETWORK, referred to as ANN) are both of the latter types.
Genetic algorithms simulate the genetic-evolution mechanism of humans or organisms, while
artificial neural networks simulate the activity of nerve cells in the human or animal brain.
Knowledge engineering
Taking knowledge itself as the processing object, studying how to use artificial intelligence and
software technology to design, construct and maintain knowledge systems
expert system
Intelligent search engine
Computer vision and image processing
Machine translation and natural language understanding
Data mining and knowledge discovery
AI impact

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(1) The impact of artificial intelligence on natural sciences. In subjects that require the use of
mathematical computer tools to solve problems, the help brought by AI is self-evident. More
importantly, AI in turn helps human beings finally understand the formation of their own
intelligence.
(2) The impact of artificial intelligence on the economy. The expert system goes deeper into all
walks of life and brings huge macro benefits. AI has also promoted the development of the
computer industry network industry. But at the same time, it also brings labor employment
problems. Due to the application of AI in technology and engineering, it can replace humans in
various technical and mental work, which will cause drastic changes in the social structure.
(3) The impact of artificial intelligence on society. AI also provides a new model for human
cultural life. Existing games will gradually develop into more intelligent interactive cultural
entertainment methods. Today, artificial intelligence applications in games have been deeply
embedded in the development of major game manufacturers.
With the development of artificial intelligence and intelligent robots, it has to be discussed that
artificial intelligence itself is advanced research, and modern scientific research needs to be
carried out with a future perspective, so it is likely to touch the bottom line of ethics. As a
sensitive issue that may be involved in scientific research, it is necessary to prevent conflicts that
may arise as soon as possible, instead of waiting for the conflict to be unsolvable before finding a
way to resolve it.
Application field
Machine translation, intelligent control, expert system, robotics, language and image
understanding, genetic programming robot factory, automatic programming, aerospace
applications, huge information processing, storage and management, execution of compounding
organisms that cannot be executed or are complex or large in scale Tasks and so on.