What is the future of artificial intelligence?

The artificial intelligence industry chain is divided into the basic layer, the technology layer and the application layer. The basic layer is the foundation of the artificial intelligence industry chain, providing computing power support and data input for artificial intelligence. At present, China's AI companies are mainly concentrated in Beijing, Guangdong, Shanghai and Zhejiang, and Beijing's AI development has entered the fast lane.

Panoramic combing of the artificial intelligence industry chain: the development of the basic layer is weak

The basic layer mainly provides computing power and data support, mainly involving data collection and collection, including AI chips, sensors, big data, cloud computing, open source frameworks, and data processing services. The technical layer processes data mining, learning, and intelligent processing, and is the bridge between the basic layer and the specific application layer, mainly including machine learning, deep learning, computer vision, natural language processing, speech recognition, etc. The application layer applies artificial intelligence technology for different scenarios and commercializes it, and the main application fields include driving, security, medical care, finance, education, etc.

In recent years, artificial intelligence has made great progress in technology and application, and has a certain competitiveness in the world, but the weakness of the basic layer is still a key factor limiting the development of Chinese artificial intelligence. China has developed at the basic level for a relatively short period of time and lags behind the international advanced level. For a long time, most of China's chips have relied on imports, the foundation of computing power is weak, and the open source framework is subject to foreign AI giants.

The AI computing power at the basic layer plays an increasingly important role, and AI chips, as the core of the development of the AI industry, will usher in huge development opportunities. At present, Chinese excellent artificial intelligent chip enterprises include Cambrian, Huawei HiSilicon, Zhongxing Micro, Xijing Technology, Horizon, Fullhan Micro, NavInfo, Rockchip, Shenjian Technology, etc.

Regional heat map of the artificial intelligence industry chain: Beijing's AI development has entered the fast lane

According to the public information, the heat map of the regional distribution of outstanding artificial intelligence enterprises is as follows, which shows that the key enterprises in China's artificial intelligence industry chain are concentrated in Beijing, Guangdong, Shanghai, Zhejiang and other regions.

As the region with the largest concentration of artificial intelligence enterprises in China, Beijing has a relatively complete chain of artificial intelligence industry, covering the entire industrial chain, and leading enterprises have emerged in key subdivisions of the industrial chain. Among them, BOE Technology, the industry leader of sensors in the basic layer, Vimicro Microelectronics, Cambrian, Horizon, NavInfo, etc., the industry leader of AI chips, cloud computing cloud, Kingsoft Cloud, VNET, etc., data crowdsourcing of data services, JD Crowdintelligence, Datatang, etc.; At the technical level, the machine learning leaders IDL, JD DNN, etc., computer vision SenseTime Technology, Megvii Technology, etc., natural language processing, Sogou, Zi Square, etc., speech recognition Mobvoi, wisdom tooth technology, etc.; The key enterprises of artificial intelligence at the application layer are also involved in various fields. Beijing is gradually forming an AI industry ecosystem with global influence.

In recent years, China's artificial intelligence industry has shown a good trend of vigorous development. First, some key application technologies, especially image recognition, speech recognition and other technologies, are at the world's relatively leading level, and the total number of artificial intelligence and high-speed citations are also in the first echelon, according to the world's relatively forefront. Second, the overall strength of the industry has been significantly enhanced.

There are more than 1,000 artificial intelligence industries in China, covering technology platforms, product applications and other links, and a relatively complete industrial chain has been formed. The pattern of rapid development of the artificial intelligence industry in Beijing-Tianjin-Hebei, Yangtze River Delta, Pearl River Delta and other regions has taken shape. Third, the integration and application with the industry continue to deepen.

With its strong empowerment, artificial intelligence is becoming an important driving force to promote the transformation and upgrading of traditional industries, new technologies, new models, and new formats of intelligence in various fields are emerging, and the radiation spillover effect is also continuing to increase. The top domain name has been registered. However, it should also be noted that in the process of rapid development, the basic technology of artificial intelligence in China is still lacking, and there are still relatively few that can truly create commercial value.

There is still a high threshold for the integration of traditional industries and artificial intelligence, and some data show that this year's investment and financing in the field of artificial intelligence has also been significantly reduced compared with the previous two years, especially compared with last year.

Chinese artificial intelligence applications have the characteristics of wide fields and deep penetration, and have unique advantages in industrialization, but also face huge challenges, especially in basic theories and algorithms, the original innovation ability is insufficient, the foundation in high-end chips, key components and other aspects is weak, and high-level talents are also insufficient. With the accelerated development of global artificial intelligence, countries will continue to make breakthroughs in cognitive intelligence, machine learning, and smart chips.

The future development prospects of artificial intelligence are still very good. There are two main directions for future AI research: the first is AI applications.

That is, how to apply artificial intelligence to a specific scenario more widely and efficiently. The second is a breakthrough in the theoretical research of artificial intelligence. This mainly refers to breakthroughs in adversarial learning, genetic algorithms, evolutionary learning, and reinforcement learning theory.

Therefore, it is a very good choice to study artificial science now.

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.

The third phase of artificial intelligence, part III: the development prospects of artificial intelligence.

It's good, it's the way to go.

Artificial intelligence is the industry with the greatest demand in the current environment, and the country's talent gap in this area is particularly large, and the supply exceeds demand, and the development prospects of artificial intelligence are very impressive.

First: intelligence is one of the important trends in the future. With the development of the Internet, big data, cloud computing and Internet of Things and other related technologies will be popularized and applied one after another.

AI-related technologies will first be applied in the Internet industry, and then spread to other industries. Therefore, from the perspective of the overall development prospects, the development prospects of artificial intelligence-related fields are still very broad.

Second, the development of the industrial Internet will inevitably lead to the development of artificial intelligence. The Internet is currently developing from the consumer Internet to the industrial Internet, and the industrial Internet will comprehensively apply the Internet of Things, big data and artificial intelligence and other related technologies to empower the majority of traditional industries.

Artificial Intelligence Professional Career Guidance:

Scientific research, engineering development, computer science, software engineering, applied mathematics, electrical automation, communications, mechanical engineering. On the one hand, the research and development of artificial intelligence is difficult. On the other hand, the research and development of artificial intelligence requires more research resources, and the talent training cycle is relatively long.

Since the artificial intelligence industry is still in the early stage of development, it is necessary to have better employment and export if you want to study artificial intelligence.

Danet Education has abundant teachers, excellent teaching system, outstanding teaching quality, practical lecturers, rich experience, theoretical knowledge + learning thinking + practical operation, to create a complete learning closed loop. Danet Education has created an original teaching system and has a corporate double election meeting. The OMO teaching mode of Danai is newly upgraded, online and offline interactive learning, live learning, learning at any time, asking at any time, and learning repeatedly, making it more convenient for students to learn.

If you are interested, click here to learn for free.

Major listed companies in the artificial intelligence industry:Hikvision (002415), iFLYTEK (002230), Saiwei Intelligent (300044), Dongjie Intelligent (300486), Wingtech Technology (600745), ZTE (000063), Hang Seng Electronics (600570), etc.

Artificial intelligence market size, distribution of enterprises at all levels, distribution of enterprise technology, proportion of artificial intelligence segments, etc.

1. Market size: Chinese's artificial intelligence industry is showing a rapid growth trend

The artificial intelligence industry is the core of the development of the intelligent industry and the foundation for the development of other intelligent technology products, and in recent years, Chinese's artificial intelligence industry has shown a rapid growth trend driven by both policy and technology. According to the calculation of the Digital Research Center of the China Academy of Information and Communications Technology, the scale of Chinese's artificial intelligence industry in 2020 will be 303.1 billion yuan, a year-on-year increase. The growth rate of Chinese's artificial intelligence industry exceeds that of the world.

Note: The market size of CAICT is calculated according to IDC data, and the statistical caliber is consistent with IDC, that is, it includes software, hardware and service markets.

2. Competitive landscape: Chinese artificial intelligence enterprises are mainly distributed in the application layer, accounting for more than 80%.

——The layout of the whole industrial chain of Chinese artificial intelligent enterprises is perfect

As a well-developed region in the field of artificial intelligence in the world, China's enterprises are involved in the basic layer, technical layer, application layer in the field of artificial intelligence, as well as hardware products, software products and services of artificial intelligence. In China, in addition to vertical companies such as iFLYTEK, the giants that have really grown in artificial intelligence are still Alibaba, and Tencent.

——Chinese artificial intelligence enterprises are mainly distributed in the application layer, accounting for more than 80%.

According to the "China New Generation Artificial Intelligence Technology Industry Development Report (2021)" released by the China New Generation Artificial Intelligence Development Strategy Research Institute in May 2021, by the end of 2020, the layout of Chinese artificial intelligence enterprises focused on the application layer and the technology layer. Among them, the number of artificial intelligence enterprises at the application layer accounts for the highest proportion, reaching; followed by the number of enterprises in the technical layer, accounting for the proportion; The number of enterprises in the basic layer accounts for the lowest proportion, which is. The high proportion of application-layer enterprises indicates that the development of China's artificial intelligence technology industry is mainly driven by application demand.

3. Technology distribution: The core technology layout of Chinese artificial intelligence enterprises is mainly big data and cloud computing

From the perspective of the distribution of core technologies of artificial intelligence enterprises, big data and cloud computing account for the highest proportion, reaching; followed by hardware, machine learning and recommendation, and service robots, accounting for ., respectively64%;It is followed by the Internet of Things, industrial robots, speech recognition and natural language processing, and graphic image recognition technology72%。

4. Segments: The field of deep neural networks is a hot topic for AI research in China

According to the Artificial Intelligence Development Report 2011-2020 jointly released by the Institute of Artificial Intelligence of Tsinghua University and the Joint Research Center for Knowledge Intelligence of the Chinese Academy of Engineering, the top ten AI research hotspots from 2011 to 2020 are deep neural networks, feature extraction, image classification, object detection, semantic segmentation, representation learning, generative adversarial networks, semantic networks, collaborative filtering, and machine translation.

The future of artificial intelligence is good.

Employment direction: scientific research, engineering development. Computer orientation. Software. Applied mathematics. Electrical automation. Correspondence. Mechanical engineering.

Artificial intelligence can be said to be a high-end discipline, which belongs to the intersection of social science and natural science, involving mathematics, psychology, neurophysiology, information theory, computer science, philosophy and cognitive science, uncertainty theory and cybernetics. His research interests include natural language processing, machine learning, neural networks, pattern recognition, and intelligent search. Applications include machine translation, language and image understanding, automatic programming, expert systems, and more.