How has artificial intelligence evolved so far?

Our brain is made up of more than 20 billion neurons connected to each other to form a huge neural network structure, which is the basis of intelligence - highly complex structures; Therefore, if you want to simulate intelligence in a computer, you must have an order of magnitude of complexity comparable to the complexity of the human brain, if you use a byte to simulate a neuron, then there will be a capacity of 20g, but in fact, the capacity of 1 byte can store the information of a neuron (including the state of connection with peripheral neurons, a neuron may be linked to hundreds of surrounding neurons)? The answer is no! Even if it's 20G, it's just storage, and it's not yet calculated, but once the 20G data is calculated, can it be simulated?

If you think about the data in your brain for a second, can a computer process 20g of data in a second? Hard! On the other hand, the embodiment of intelligence is not only a highly complex structure that works, but also depends on the high order of the structure, killer whales have 200 billion neurons, and humans have 86 billion (including the whole body), why intelligence is reversed, because the neural structure of human beings is more developed, more orderly, and more optimized, how did such an excellent neural network structure come about, it is evolved over millions or even hundreds of millions of years, in another way, the experience in the history of human evolution is richer, It is the experience that changes the neural structure, and it is impossible to repeat these experiences, so the training of artificial intelligence is difficult.

To sum up, I personally believe that the two major difficulties of artificial intelligence at present are that the hardware technology level cannot achieve a huge amount of computing, and the other is that artificial intelligence cannot be trained to a level close to human.

The Second Issue of the Intelligent Era: The Development Process of Artificial Intelligence, What is Big Data.

The development status of artificial intelligence is in the growth period, and due to the relatively small number of related talents, the talent market for artificial intelligence is vacant, and there is a situation where supply exceeds demand. In addition, the state has issued relevant policies to promote the development of artificial intelligence; Some provinces are also paying more attention to the development of artificial intelligence.

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.

The development of artificial intelligenceArtificial intelligence was born in the mid-50s of the 20th century, was established as a discipline in 1956, and has experienced two cold winters of depletion of funds (1974-1980 and 1987-1993), as well as two springs of great development (1956-1974 and 1993-2005). Since 2006, artificial intelligence has entered a new stage of accelerated development, with parallel computing power, big data and advanced algorithms accelerating the development of current artificial intelligence. At the same time, in recent years, the research of artificial intelligence has attracted more and more attention from the industry, and the industry's investment and acquisition of AI are in full swing.

Artificial intelligence around the world is still in the development stage of perceptual intelligence

According to the degree of development of artificial intelligence, the industry generally divides it into three levels: computational intelligence, perceptual intelligence and cognitive intelligence. Among them, the computational intelligence stage refers to the ability of machines to perform calculations like humans, such as the emergence of neural networks and genetic algorithms, which enable machines to process massive amounts of data more efficiently and quickly; The perceptual intelligence stage refers to the fact that machines can understand our language and understand everything in the world, and speech and visual recognition belong to this category, which can better assist humans to complete tasks efficiently; The cognitive intelligence stage refers to the stage in which machines will be able to actively think and act to fully assist or even replace human work.

At present, the global artificial intelligence is still in the development stage of perceptual intelligence.

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.

Artificial intelligence (AI) refers to the ability of computer technology to simulate, extend, and extend human intelligence to "think like a human". The development process of artificial intelligence can be summarized as the following periods:1

The birth of artificial intelligence (1940s-1950s): In 1943, American scholars McCloskey and Pitts invented the first artificial neuron, which opened a precedent for artificial intelligence; In 1956, the concept of artificial intelligence was formalized at the Dartmouth Conference. 2.

Exploration of Artificial Intelligence (1960s-1970s): During this period, researchers began to explore the possibilities of artificial intelligence technology, tried to develop many new algorithms and methods, and opened the first era of artificial intelligence. 3.

The trough of artificial intelligence (1980s-1990s): During this period, it became more and more difficult to realize artificial intelligence in the real sense, and traditional artificial intelligence methods could not solve some practical problems well. 4.

The revival of artificial intelligence (2000s): With the continuous improvement of computer performance, storage capacity, data processing capabilities, and the rapid development of machine learning, deep learning and other technologies, artificial intelligence has begun to usher in new opportunities and challenges, and has gradually become one of the important directions for the development of digital technology and science and technology. At present, artificial intelligence has been widely used in various fields, including robotics, automation control, voice recognition, computer vision, smart home, etc., which has had a profound impact on human work, life and industry.