What are the main stages of the development of artificial intelligence?

The development of artificial intelligence can be divided into the following stages:

Rule Engine Stage (1950s-1970s): In this stage, artificial intelligence is mainly based on technologies such as expert systems and rule engines, and realizes reasoning and decision-making by manually writing rules. Representative achievements in this phase include the Dendral system and the MyCin system.

Statistical learning phase (1980s-2010s): The main feature of this stage is the adoption of a data-driven statistical learning method, which learns rules from data by training a model. Representative achievements in this phase include support vector machines, decision trees, neural networks, deep learning, etc.

Deep learning stage (2010s-present): The main feature of this stage is the use of deep neural networks and other technologies to achieve high-level abstraction and representation through multi-level nonlinear transformation, and has made major breakthroughs in the fields of image recognition and natural language processing.

Self-learning stage (future): The goal of this stage is to enable machines to have the ability to learn autonomously like humans, that is, they can learn and discover patterns from the environment without human labeling and guidance. Representative techniques at this stage include reinforcement learning, meta-learning, transfer learning, etc.

Artificial intelligence is a new technology science that researches and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. Research in the field of artificial intelligence includes robotics, language recognition, image recognition, natural language processing, and expert systems, among others.

Artificial Intelligence (AI) in English. It is a new technological science that researches and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence.

Artificial intelligence is a branch of computer science, which attempts to understand the essence of intelligence and can produce a new intelligent machine that can respond in a similar way to human intelligence, and the research in this field mainly includes robots, language 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 field is constantly expanding. Artificial intelligence can simulate the information process of human consciousness and thinking. Although AI is not human intelligence, it can think like a human and may eventually surpass human intelligence.

Advantages: 1. In terms of production, more efficient and low-cost machines and artificial intelligence entities replace various human abilities, and human labor will be greatly liberated.

2. The problems of the human environment will be improved to a certain extent, and fewer resources can meet greater needs.

3. Artificial intelligence can improve the ability of human beings to understand and adapt to the world.

Disadvantages: 1. Artificial intelligence replaces human beings to do all kinds of things, and the unemployment rate of human beings will increase significantly, and human beings will be in a state of helplessness to survive.

2. If artificial intelligence cannot be used rationally, it may be used by bad people to commit crimes, and then human beings will fall into panic.

3. If we can't control and use artificial intelligence well, we will be controlled and used by artificial intelligence, then human beings will perish and the world will become panicked.

What is the stage of AI development at this stage is as follows:

There are three stages in the development of artificial intelligence, <>

The first stage is the intellectualization of technology, but it has not become an industrial or economic phenomenon, the second stage is the intellectualization of the economy, artificial intelligence can begin to exert magic in a wide range of economic fields, it is also divided into two stages, the first half is the development of general capabilities and the platformization of AI capabilities of resources, and the second half is full industrialization, industry application and commercialization begins.

The third stage is the intellectualization of society, "we are in the process of developing the intelligence of the economy from the first half to the second half, and the potential has been initially proved in vertical industries such as unmanned driving." ”

What are the main stages of the development of artificial intelligence?

The development of artificial intelligence has mainly gone through five stages: (1) the embryonic stage, in the 50s of the last century, scientists led by Shen Nong jointly studied the related problems of machine simulation, and artificial intelligence was officially born; (2) The first development period, the 60s of the last century is the first stage of development of artificial intelligence, and artificial intelligence in this stage is mainly based on language translation, proof and other research; (3) The bottleneck stage, after in-depth research by scientists in the 70s of the last century, it was found that the machine imitating human thinking is a very large system engineering, and it is difficult to build a model with existing theoretical achievements; (4) In the second development period, the existing research results of artificial intelligence have been gradually applied to various fields, and artificial intelligence technology has achieved great results in the commercial field; (5) Stable development stage, since the 90s of the last century, with the gradual popularization of Internet technology, artificial intelligence has gradually developed into a distributed subject, providing a new direction for the development of artificial intelligence.

Summary. Hello dear and happy to answer for you. The development of artificial intelligence can be divided into five stages. The development of artificial intelligence has mainly gone through five stages: the embryonic stage, the first development period, the bottleneck period, the second development period, and the stable development period.

Hello dear, I'm glad to answer your questions. The development of artificial intelligence can be divided into five stages. The development of artificial intelligence has mainly gone through five stages: the embryonic stage, the first development period, the bottleneck period, the second development period, and the stable development period.

Kiss. Artificial intelligence works through deep learning by machines, and this learning process is to recognize and remember a large amount of existing knowledge accumulation. One of the best things about creative thinking is curiosity and the ability to pick up a stool.

Albert Einstein said two things: "I have no special talents, I am just extremely curious" and "Imagination is more important than knowledge". The more education a person receives, the more knowledge he accumulates, and the curiosity and imagination may decrease accordingly, so creativity does not increase with the enlightenment of the time spent in education.

Creative thinking is not only about curiosity and imagination, but also about values, so when we talk about innovative talent education, it is not only a question of knowledge and ability, but also a question of values.

Speaking of the hotly discussed artificial intelligence, I have to mention the unique Alphago. AlphaGo's victory over world Go champion Lee Sedol has sparked human interest in artificial intelligence. The concept of artificial intelligence has actually been put forward for a long time.

In terms of the stages of development of artificial intelligence, it can be divided into three stages.

1) 1956-1980.

In 1956, Dartmouth proposed the term artificial intelligence, marking the official birth of artificial intelligence.

At this stage, AI has already made some progress in problem solving and language processing. However, the technical conditions at that time did not allow for the desired goals. In the 70s, investors and ** began to shrink AI funding, and AI began to enter a low period.

2) 1980-1993.

In the 80s, artificial intelligence expert systems emerged, commercial value was widely accepted, and artificial intelligence research re-emerged. But it didn't last long, and it was completely crushed in terms of performance by the produced personal computers, far surpassing the LISP machines that used AI technology, and AI once again experienced a cold winter.

3) 1993-present.

After that, AI technology represented by neural network technology gradually developed, and artificial intelligence began to enter a period of slow development. Deep Blue's victory over world chess champion Kasparov in 1997 made AI a hot topic again. With the rapid development of science and technology, the cost of hardware continues to decrease, the accumulation of data volume continues to increase, and AI technology continues to mature, and artificial intelligence has begun to enter an explosive period.

Various artificial intelligence products have begun to mushroom after a rain and continue to grow and develop.

After the news report of Alphago's victory over Lee Sedol, more and more people began to pay attention to and explore the field of artificial intelligence. And now more and more companies are starting to enter the field of artificial intelligence. Words such as natural language ability, deep algorithms, and neural networks are also beginning to become more and more well-known.

Judging from the current development situation, the development of artificial intelligence can probably go through three stages, let's take a look at which three stages they are. ‍‍

The first stage is the intelligence of computing. Computers can perform calculations like humans, even faster and more accurate than humans, and many fields have realized that machines can process a large amount of data, which is more efficient than humans. ‍‍

The second stage is the intellectualization of language perception. Machines can understand human speech and respond accordingly; At the same time, it can carry out face recognition and other operations, which greatly improves people's efficiency; There are also many industries that use voice and visual recognition functions, and this part is still being strengthened. ‍‍

The third stage is the intellectualization of the cognitive level. Machines can take the initiative to think about problems like humans, give correct replies and feedback, and even have their own judgment and decision, and robots at this time can replace most of the human work. ‍‍

All in all, our current AI is mainly from the second stage of development; The use of speech recognition and visual recognition is also increasing, and according to this development process, it is believed that in the near future, we will see robots serving humans. ‍‍

Historically, AI research has been a rollercoaster ride. The bubble of dreams has burst repeatedly, but it has also pushed artificial intelligence technology forward.

1) The beginning of the AI dream.

In 1900, at the Congress of Mathematicians at the turn of the century, Hilbert announced 23 unsolved problems in mathematics.

In the thirties, Turing conceived a machine, the Turing machine, which was the theoretical prototype of the computer, which satisfactorily portrayed the meaning of the mechanized process of computing and eventually paved the way for the invention of the computer.

In 1945, von Neumann completed the design of an early computer, EDVAC, on a train, and proposed what we now know as the "von Neumann Architecture".

2) The continuation of the AI dream.

In August 1956, at Dartmouth College in the quiet town of Hannos, USA, John McCarthy, Marvin Minsky (an expert in artificial intelligence and cognition), Claude Shannon (founder of information theory), Allen Newell (computer scientist), Herbert Simon, Nobel laureate economists) and other scientists are coming together to discuss a completely non-human theme: using machines to mimic human learning and other aspects of intelligence.

3) The rapid development of AI dreams.

In 1976, Kenneth Appel and Wolfgang Haken, among others, used a mixture of humans and computers to prove a well-known mathematical conjecture: the four-color conjecture (now known as the four-color theorem).

In 1956, Oliver Selfridge developed the first character recognition program, which opened up a new field of pattern recognition.

4) Breakthroughs in AI in recent years.

In 2011, researchers at Google X Labs took 10 million static images from YouTube and fed them to "Google Brain," a large neural network model using so-called deep learning techniques to look for recurring patterns in them. Three days later, this super "brain" actually discovered the "cat" from these ** without the help of humans.

In January 2013, the company established a research institute, of which the Deep Learning Institute is the first research institute under the institute.

The world's top computer and Internet companies have all shown great interest in deep learning.

The development of artificial intelligence can be roughly divided into three stages.

The first stage, which we call computational intelligence, is the ability to store and compute: machines begin to calculate and transmit information just like humans. For example, distributed computing, neural networks.

Its value is that it can help humans store and quickly process massive amounts of data, and is the basis for perception and cognition.

The second stage, which we call perceptual intelligence, is the ability for computers to hear and see: machines begin to read and understand, make judgments, and take simple actions. For example, a camera that can recognize a person's face and a speaker that can understand language.

Its value is that it can help humans to "see" and "hear" efficiently.

The second stage, which we call cognitive intelligence, is the ability for computers to understand and think: machines begin to understand, think, and make decisions just like humans. For example, driverless cars that drive completely independently, robots that act autonomously.

Its value is that it can fully assist or replace part of the work of humans.

At present, artificial intelligence is still in its infancy, and we are still in the initial stage of perceptual intelligence.

The development trend of artificial intelligence technology will start from the current relatively mature fields, try and practice in different fields, and may make breakthroughs in unsupervised learning and knowledge reasoning in the future.