The current situation and development of China's AI industry
The current situation and development of China's AI industry are as follows: ** 1. Current Situation ** 1. ** Technology and innovation ** - In terms of patent applications, China accounted for 23% of the global total in AI patent applications, second only to the United States (38%). - An artificial intelligence technology system including smart chips, large models, infrastructure and operating systems, tool chains, deep learning platforms, and application technologies had been built. 2. ** In terms of industrial scale ** - In 2022, the domestic artificial intelligence market scale was 284.5 billion yuan, with a year-on-year growth of 43.18%. In 2023, the scale of China's artificial intelligence core industry reached 578.4 billion yuan, with a growth rate of 13.9%. - Generative artificial intelligence had been adopted by 15% of enterprises, and the market size was about 14.4 trillion yuan. 3. ** Industrial Cluster ** - It was mainly concentrated in Beijing-Tianjin-Hebei, Yangtze River Delta, Pearl River Delta, Chengdu-Chongqing and Xi'an in the western region, and Changsha and other places in the central region. - The Beijing-Tianjin-Hebei region had the most data on artificial intelligence enterprises, accounting for 31% of the total number of artificial intelligence enterprises in the country; Shanghai, the Yangtze River Delta region, led the development of artificial intelligence industry, accounting for 49% of the total number of artificial intelligence industries in the Yangtze River Delta; the Pearl River Delta formed an artificial intelligence industry cluster centered on Shenzhen-Guangzhou, and more than 80% of artificial intelligence industrial parks were located in Shenzhen-Guangzhou. 4. ** In terms of application fields ** - It has different degrees of application in urban management and operation, industry, finance, Internet, retail, medical care, education and other fields. Among them, urban management and operation application accounted for a relatively high proportion of 49%, Internet and financial industries accounted for 18% and 12% respectively, and education accounted for the least proportion of only 2%. - It has been applied on a large scale in smart manufacturing, smart logistics, smart cities, and other aspects. 5. ** Business management ** - The number of artificial intelligence companies had already exceeded 4000. However, most artificial intelligence companies faced the problem of making profits and were in a state of loss, mainly because of the high cost of AI technology research and development, the fast speed of technology updates, and the long profit cycle. - There was a shortage of high-end compound talents in artificial intelligence, and the talent training system was not perfect. The long training period of talents led to a shortage of supply, especially the demand for high-end compound talents. ** 2. Development ** 1. ** In terms of policy support ** - The government attached great importance to the development of the AI industry and introduced a series of policies and measures to support it. For example, the New Generation Artificial Intelligence Development Plan clearly stated that by 2030, China would become the world's major artificial intelligence innovation center. 2. ** In terms of infrastructure construction ** - In 2022, the overall layout design of the national integrated big data center system was completed, the eastern and western computing projects were officially launched, and the construction of artificial intelligence infrastructure was accelerated. 3. ** Development Stage ** - After 2022, artificial intelligence had changed from specialized artificial intelligence to general artificial intelligence, which was dominated by large models. It had a great impact on the entire economy, and it had a key supporting effect on rebuilding the industrial system and vigorously promoting new industrialization. 4. ** Development goal ** - The Ministry of Industry and Information Technology and other seven departments jointly issued the "Promotion of Equipment Upgrading in the Industrial Field", which proposed that by 2027, the penetration rate of digital R & D design tools and the numerical control rate of key processes of industrial enterprises above designated size would exceed 90% and 75% respectively, which would further promote the in-depth application of AI technology in the industrial field and promote the development of the AI industry. "A Short History of the Future: Legends of the Intelligent Era" was equally exciting. Everyone was welcome to click and read it!
The development process and current situation of China's online retail industry
The development of China's online retail industry can be traced back to 2000, when e-commerce companies such as Taobao and Jingdong began to launch online shopping platforms to provide consumers with a more convenient way to shop. With the passage of time, China's online retail industry has gradually developed into a huge market, attracting more and more enterprises to enter the field. At present, China's online retail market has been expanding and has developed into one of the largest online retail markets in the world. China's online retail industry had gone through several important stages in its development. The first was the rise of online shopping around 2000, which was the first peak period of online retail. Second was the rapid development of e-commerce around 2010, which was the second peak period of the online retail industry. With the continuous development and popularity of Internet technology, the e-commerce industry has been further developed. Finally, the popularity of mobile payments around 2014 was the third peak period of the online retail industry. With the continuous improvement and popularity of mobile payment technology, the development of the online retail industry became more convenient and faster. At present, China's online retail industry has become a huge market, attracting more and more enterprises to enter the field. The development of the online retail industry also faced some challenges such as increased market competition and changes in consumer demand. In order to meet these challenges, companies need to constantly improve their service quality to meet the needs of consumers. At the same time, the government also needs to strengthen supervision to protect the rights and interests of consumers and promote the healthy development of the online retail industry.
The current state of China's AI development
The current state of China's AI development has many characteristics: 1. ** In terms of industrial scale ** - The number of enterprises was large and continued to increase, reaching more than 4500. - In 2022, the domestic artificial intelligence market scale was 284.5 billion yuan, with a year-on-year growth of 43.18%. 2. ** In terms of skill level ** - He had achieved remarkable results in the field of large models and was ranked second in the world. Most of the world's artificial intelligence patents (61%) came from China, which reflected the innovative ability of researchers in the field of artificial intelligence and the importance China attached to intellectual property protection. - China's robot installation ranks first in the world, and industrial robot companies have made significant progress in technology research and development, market application, etc., providing strong support for intelligent manufacturing and industrial upgrading. - Although there were still some gaps compared to advanced countries such as the United States, China's large model technology had made significant progress. For example, the Pangu model could be applied to industrial problems such as weather forecast to improve the accuracy of the forecast. 3. ** In terms of application fields ** - It has different degrees of application in urban management and operation, industry, finance, Internet, retail, medical care, education and other fields. Among them, urban management and operation application accounted for a relatively high proportion of 49%, Internet and financial industries accounted for 18% and 12% respectively, and education accounted for the least proportion of only 2%. 4. ** Industrial Cluster ** - It was mainly concentrated in Beijing-Tianjin-Hebei, Yangtze River Delta, Pearl River Delta, Chengdu-Chongqing and Xi'an in the western region, and Changsha and other places in the central region. The artificial intelligence enterprises in the Beijing-Tianjin-Hebei, Yangtze River Delta, and Pearl River Delta urban agglomerations were relatively concentrated, accounting for more than 80% of the total number of AI enterprises in the country. The industrial cluster effect was obvious, and it was the region most likely to be built into a global competitive artificial intelligence industrial cluster. Among them, the Pearl River Delta formed an artificial intelligence industry cluster centered on Shenzhen-Guangzhou; the Yangtze River Delta focused on building a world-class artificial intelligence industry cluster, and Shanghai led the development of the Yangtze River Delta artificial intelligence industry; Beijing, Tianjin and Hebei cooperated to build a global competitive artificial intelligence industry cluster, forming an area with Beijing as the core where the artificial intelligence industry developed rapidly and the cluster developed densely. 5. ** Facing challenges ** - ** Talent shortage challenge **: There was a shortage of high-end compound talents in artificial intelligence. The talent training system was not complete yet. The long training period of talents led to a shortage of supply, especially the demand for high-end compound talents. - ** Proficiency Challenge **: Most artificial intelligence companies face difficulties in making profits. The high cost of AI technology research and development, the fast speed of technology updates, and the long revenue cycle caused most companies to be in a state of loss. "A Short History of the Future: Legends of the Intelligent Era" was equally exciting. Everyone was welcome to click and read it!
Current situation and development trend of the programmer industry
** 1. Current situation of the programmer industry ** 1. ** Work content ** - The main tasks of a programmer included writing code, testing software, debugging programs, and working together to complete projects. When writing code, you need to use a variety of programming languages (such as Java, Python, C++, etc.) to build efficient and maintainer code according to the needs of the project. This is directly related to software performance and user experience. In the process of testing software, test cases should be written to ensure that the code runs normally in different situations through unit testing, integration testing, and system testing, and bugs should be found and fixed in time. When a program had a problem, one had to analyze the log and use a debugger to find the root of the problem and fix it. This required technical ability, patience, and a meticulous attitude. In terms of teamwork, the programmer needed to work closely with the designer, product manager, tester, etc., participate in project meetings, share ideas and suggestions to push the project forward. 2. ** Working environment ** - The working environment varied from company to company and project to project. Working in an office was more common, usually equipped with high-performance computers and comfortable office equipment. Open office spaces were conducive to team communication and cooperation, and some companies provided independent work spaces to reduce interference. At the same time, with the development of technology, remote work had become the choice of many programmers. This could save time on commutes and allow programmers to work in a comfortable environment. 3. ** Working hours ** - Working hours are more flexible, and many companies adopt flexible working schedules. Although some projects may require overtime, most programmers can arrange their work at their own pace to help maintain a work-life balance. 4. ** Professional Development Status ** - There were many career paths for programmers. Starting from junior programmers, they were mainly responsible for simple coding and testing to accumulate experience and skills. After being promoted to intermediate programmers, they needed to have project management skills, be responsible for more complex tasks and guide junior programmers. Senior programmers had higher technical and management standards, responsible for designing system architecture, setting technical standards, and playing a leading role in projects. There were also management positions such as technical manager, who were responsible for team management and coordination to ensure that the project was completed on time. 5. ** In terms of industry scale and growth ** - With the rapid development of the software and information technology service industry, the scale of the industry continued to expand. In 2023, the revenue of China's software and information technology service industry exceeded 12 trillion yuan, and there were more than 38,000 enterprises above designated size, and their income maintained a high growth rate. As an important practitioner of the industry, the overall number of programmers also increased with the development of the industry. Driven by the demand of emerging fields (such as cloud computing, Internet of Things, etc.), the demand for programmers was also increasing. For example, China's demand for software talents increased by 30% in the past two years. 6. ** Remuneration and Benefits ** - Due to the huge demand for IT talents in emerging industries such as Internet finance, Internet medical care, big data + cloud computing + artificial intelligence, many IT companies recruited talents through school enrollment plans, customized class plans, internal recommendations, etc. The remuneration of programmers was relatively high, and the benefits were relatively good. ** 2. The development trend of the programmer industry ** 1. ** Technology Development ** - Rapid technological updates were a challenge and a trend for programmers. With the development of cloud computing, big data, artificial intelligence, 5G, blockchains, industrial internet, and other fields, programmers must constantly learn new programming languages, frames, and tools to maintain sensitivity to new knowledge and skills and update their knowledge reserves in a timely manner. 2. ** Industry development trend ** - Under the influence of the development trend of software and information technology services, the development of programmers also showed a corresponding trend. From the perspective of the industrial chain, different links of the industrial chain have different development priorities, which requires programmers to adapt to the technical requirements of different links. For example, to stabilize the upstream, it is necessary to consolidate the development environment, tools and other basic software strength-related technologies; To attack the middle reaches, it is necessary to improve industrial software, application software, platform software, embedded software and other related technologies; To do the best downstream, it is necessary to adapt to the technical requirements related to increasing the supply of information technology service products. - In terms of strengthening the research and development of core technologies, the national level relied on policies and innovation centers to create an innovation environment, and the enterprise level continued to increase R & D investment to improve the innovation system. The programmers needed to participate in the research and development of these core technologies (such as cloud computing, big data, artificial intelligence, etc.) to form their own core technology competitiveness. - In terms of cultivating and strengthening the main body of the market, the software and information technology service industry will promote the integration and development of large and medium-sized enterprises. The programmers may face the new working environment and technical requirements after the merger and reorganization of enterprises and the integration. With the development of industrial clusters, the software industry in the strategic layout areas such as Beijing-Tianjin-Hebei, Guangdong-Hong Kong-Macau Bay Area, Yangtze River Delta Integration, Chengdu-Chongqing Double-city economic circle, etc. In the ecological cluster, programmers also need to adapt to new technical exchanges, innovative cooperation modes, etc. "When a programmer meets a psychologist" is equally exciting. Everyone is welcome to click to read it!
The current situation of the development of China novel culture
The current situation of the development of China novel culture showed a pluralistic characteristic: ** 1. Online literature ** 1. ** Themed Patterns ** - Online literature had already achieved a change in subject matter, and a pattern of content and subject matter had been formed. Reality and sci-fi topics developed rapidly, keeping pace with fantasy, xianxia, history, and other categories. For example, in the past five years, the compound growth rate of reality theme reached 34%, and in 2021, the growth rate was the top 5 of all categories; in 2021, the number of new works of science fiction theme was the top 5 of the category, becoming one of the five major categories of online literature. This showed that online literature played a positive role in reflecting contemporary social life and technological development. Mass creation could keep up with the pace of the times and record China stories from a more diverse perspective. 2. ** Reader Group ** - Online literature was an important part of reading for all, and the number of readers had reached the highest level in history. By the end of December 2021, the total number of online literature users in China had reached 502 million, an increase of 41.45 million compared with the previous year, accounting for 48.6% of the total number of netizens. Among them,"Generation Z" readers became the new main body. Among the new users of Qidian Chinese Network in 2021, the post-95 generation accounted for more than 60%. This group injected new vitality into the development of online literature and led a new atmosphere. 3. ** Creation and copyright protection ** - Stimulating creative vitality became the focus, and the "Generation Z" gradually became the successor of online literature. At the same time, strengthening copyright protection and promoting comprehensive governance to promote the orderly prosperity of online literature were also the focus of the industry. 4. **IP Development and Impact ** - A new chapter in the development of high-quality online literature IP full-link series. The phenomenal explosion consolidated its position in the context of film and television. The full-link adaptation stimulated the strong potential of IP conversion, and the development of high-quality IP series was good. The cross-media communication ability of online literature had increased. Not only did it provide high-quality content for movies, animation, games, and audio books, but it also achieved three-dimensional communication and exponential growth in influence. - In terms of international influence, the number of overseas users of online literature exceeded 100 million, becoming an important channel for foreigners to understand China and learn Chinese culture. From content to ecology, from text to IP, the creation and production model of China online literature was also being imported. A large number of foreign authors began to use their mother tongue to create novels on overseas websites of China online literature. ** 2. Traditional novel culture ** 1. ** Historical and cultural heritage ** - Traditional novels had a deep cultural heritage, such as the ancient strange novels,"Shiyi Ji,""Yi Jian Zhi,""Taiping Guang Ji,""Yuewei Cottage Notes,""Strange Tales from a Chinese Studio," etc. They contained rich cultural implications and were an important part of traditional culture. Some of these works had also influenced the culture of other countries, such as Yi Jian Zhi, which was used as a reference for Japanese ghost culture-related creations. 2. ** The continuation of the influence of ancient novels ** - The ancient view of novels once regarded novels as a part of culture, and the orthodox literati mostly evaluated novels from the perspective of culture rather than style, which affected the development of novels to a certain extent. For example, the ancient orthodox literati emphasized the practicality of the novel, such as the functions of "admonition, knowledge, and research", but they were mostly negative about the entertainment function of the novel. Although the shackles of this concept in modern society have been reduced, some concepts in traditional novel culture are still reflected in cultural inheritance and academic research. In modern times, online literature and traditional novel culture influenced each other and developed together. They played an important role in inheriting culture, reflecting the times, and satisfying the needs of readers. <a href="/?from=ask_words" style="color:red" target="_blank">Read more exciting novels for free</a>
The current situation and trend of artificial intelligence development in China
The current development of artificial intelligence in China was as follows: ** 1. Technology Development ** 1. ** Active participation in the development of large models **: After the announcement of artificial intelligence in the United States such as chatGPM, it caused a sensation. A large number of companies in China released 80 large models in a short period of time, among which the Pangu model had a great influence. 2. ** Achievement in many fields **: Artificial intelligence technology has made progress in many fields in China, such as deep learning and natural language processing. For example, the Pangu model has greatly improved the accuracy of weather forecast and solved the complex calculation problems in weather forecast (weather forecast involves hundreds of high-end mathematical equations and the parameters change at any time). ** 2. In terms of application scenarios ** 1. ** Breakthrough in the industrial field **: China's artificial intelligence application scenarios are extensive. In the industrial aspect, the Pangu model can solve industrial problems in thousands of industries, provide assistance for Chinese enterprises to deal with foreign sanctions, and help Chinese enterprises gradually get rid of the US's sanctions and neck situation. 2. ** Multi-industry application expansion **: - ** Medical Health **: For example, in areas where there is a lack of medical care, artificial intelligence doctors (intelligent medical assistants) can be used to assist village doctors in diagnosis and solve the problem of resource imbalance. - ** Education **: Artificial intelligence teachers can be used to solve the imbalance of teaching resources such as Mandarin and English caused by the lack of teachers in the village education. - ** Finance **: Used for risk assessment, fraud detection, and smart investment. - ** Manufacturing industry **: Intelligent robots and automated production lines have improved production efficiency and quality, and are constantly expanding their applications in e-commerce, smart education, smart finance, smart cities, smart assistants, smart security, smart transportation, and other fields. ** Third, policy support **: From the national strategic level, we attach importance to the development of artificial intelligence. Since 2016, we have proposed a number of policy measures to promote its development. The development trend of artificial intelligence in China: 1. ** More intelligent and autonomous **: In the future, China's artificial intelligence will be more intelligent and autonomous, with higher learning and adaptability. It will be able to solve complex problems and make independent decisions, thereby expanding the application field and increasing the value of various industries. 2. ** Deepen human-machine collaboration **: Human-machine collaboration will be closer. Artificial intelligence will not only replace repetitive work, but will also cooperate with humans to complete creative tasks, bringing new opportunities and challenges to various industries. 3. ** Establishment of ethical and legal framework **: With the widespread application, China will also emphasize the ethical use of artificial intelligence, establish a legal framework to regulate its development and application, and ensure that it meets social ethics and legal requirements. 4. ** Continuous innovation and cross-border integration **: Cooperation between various fields will lead to new technologies and applications. For example, the combination with biotechnology and quantum computing may trigger a new technological revolution and promote social progress and development. "A Short History of the Future: Legends of the Intelligent Era" was equally exciting. Everyone was welcome to click and read it!
AI's current development direction
The current development direction of AI mainly had the following aspects: 1. In terms of data, small data and high-quality data were on the rise. Small data focused on accuracy and relativity, and high-quality data was strictly filtered, cleaned, and labeled to eliminate noise and irrelevant information. This would help reduce the reliance and uncertainty of artificial intelligence algorithms on data and enhance network reliability. Diverse data sets could provide theoretical support for the development of AI with different technical routes, and it could also solve the bottleneck problem of general artificial intelligence. 2. Human-machine cooperation: emphasize human-machine alignment and build a reliable AI system. The reliability of an AI system depended not only on the quality of the input training data set, but also on the executibility of the output results, which had to conform to human values. Relying solely on data and algorithms was not enough to achieve human-machine alignment. Human values and ethics needed to be transformed into reinforcement learning reward functions. When developing AI, the ethical standards of task efficiency, effectiveness, effectiveness, and behavior needed to be taken into account. 3. In terms of compliance and security, establish an AI supervision model framework similar to the constitution to ensure the compliance and security of the AI system. In the design phase, the social impact of the system in monitoring, value guidance, military fields, etc. should be considered; in the training phase, data and algorithms should not violate user privacy or cause unfair results; in the deployment phase, the operational status should be continuously monitored to fix potential risks and loopholes in a timely manner. 4. In terms of explainability, the development of an explainable model allows the AI decision-making process and results to be described so that humans can understand, evaluate, monitor, and intervene in its behavior. It can improve explainability while ensuring effectiveness, reduce public resource consumption, enhance user trust, and promote applications in key areas such as health care and financial services. " A Short History of the Future: Legends of the Intelligent Era " was equally exciting. Everyone was welcome to click and read it!
The History and Current Situation of AI
The development history of AI can be divided into the following stages: - Early stage: The improvement of computing power, the widespread application of big data, and breakthroughs in emerging technologies such as deep learning, laying the foundation for AI development. - Landmark event: In 2016, DeepMind's AlpaGo defeated the world Go champion Lee Seh-ho, demonstrating the powerful ability of AI in complex strategy games. At present, AI was in a rapid development stage, and its current status was as follows: - Technique: - China was already a world leader. In the past decade, 61.1% of the world's authorized artificial intelligence patents came from China. - The development of the AI complier was divided into three stages: plain AI complier, dedicated AI complier, and general AI complier. It was a complier optimized for AI and machine learning applications. It had Python language as the front end, multi-layer infrared design, deep optimization for neural networks, and targeted at the architecture of the DPS chip. It was mainly used in reasoning and training scenarios. - In terms of applications: - The number of users and the market scale grew rapidly. In just over a year (Chinese companies released their first generation products in the first and second quarters of 2023), there were already 230 million users in China (as of June 2024). It was estimated that by the end of 2024, there would be nearly 300 million users, accounting for 16.4% of the overall population. - It has widely penetrated into vertical scenes and become a daily high-frequency application. The daily call volume of the big head model has exceeded 100 million. For example, the daily call volume of Baidu Wenxin Yiyan in September was more than 700 million times, and the latest data has exceeded 1.5 billion times. Moreover, it is deeply integrated in many fields such as government affairs service, enterprise operation, industrial production, smart transportation, smart energy, etc., forming the pattern of "AI + thousands of industries". - The performance level was rapidly improved, and the higher the level, the higher the level of functionality, the more the "trance-like" problem of the large model was solved through technical iterations. The multi-mode ability expanded the application boundary, and the higher the level of functionality in many fields. For example, the data related to autonomous driving showed the advantages of AI in it. In addition, AI had a wide range of applications, including autonomous driving, smart home, medical health, financial services, education, entertainment, and many other fields. It also played an important role in logistics management, production process optimization, quality control, intelligent agricultural management, environmental monitoring, energy optimization, and so on. In the future, AI will continue to develop in terms of technological breakthroughs, application scenarios, ethics, and legal norms. "A Short History of the Future: Legends of the Intelligent Era" was equally exciting. Everyone was welcome to click and read it!
AI industry development prospects
The AI industry has many development prospects: 1. ** Multi-mode and pre-trained large models **: Multi-mode and pre-trained large models are standard in the artificial intelligence industry. In the future, in terms of big models facing the industry, it was very likely that China's big models would arrive first, which would also be one of the key factors in the competition of domestic big models. 2. ** In terms of data **: The scarcity of high-quality data will force data intelligence to leap. The ever-increasing demand for high-quality data in the field of large models was expected to promote the comprehensive improvement of data in the three dimensions of large-scale, multi-mode, and high-quality. As a result, data intelligence-related technologies were expected to achieve a leap in development. Moreover, in the future, based on the cloud-native container environment, the "Hucang Integration" architecture that supported streaming and batch data processing would become the base of the new generation of data platforms to help improve data quality. 3. ** In terms of computing power **: The realization of the new computing model of intelligent computing power is accelerated. It is expected to achieve the goal of "everything is data","countless non-computing", and "all computing is not intelligent". In other words, intelligent computing power will be everywhere and present the four characteristics of "multi-heterogeneities, software and hardware cooperation, green intensive, and cloud edge integration". 4. ** In terms of content creation **: The application of artificial intelligence-generated content will permeate all scenarios. It is expected that in the future, the efficiency of human content creation will be further improved, the digital content ecosystem will be enriched, and the era of human-computer collaboration will be opened. All kinds of scenarios that require creativity and new content may be redefined. 5. ** Scientific research **: Artificial intelligence drives scientific research from a single point breakthrough to a platform. The development of a platform means that proven value needs to be deposited into a platform tool to increase the universal value to the downstream. 6. ** Exploration of general artificial intelligence applications **: In terms of the application of general artificial intelligence, its technical principles emphasize two characteristics. One is that it needs to achieve intelligent processing and decision-making based on advanced algorithms, such as deep learning, reinforcement learning, evolutionary computing, etc. The second is that it needs to have a cognitive architecture similar to the human brain, including perception, memory, analysis, thinking, decision-making, creation, and other modules. Some research institutions and companies have begun to explore how to combine embodied intelligence and brain-computer interface with ChatGPM, which is expected to lead to a batch of applications that are more in line with the characteristics of AGI. 7. ** Safety governance **: Artificial intelligence safety governance is becoming stricter, tighter, and more difficult. China, the United States, and Europe are showing characteristics such as policies and regulations being in the lead and stricter supervision. 8. ** Technology Creation **: It can explain that AI, ethical security, privacy protection, etc. will create related technologies. 9. ** Open source innovation **: Open source innovation will be the cornerstone of the AGI ecosystem. With the continuous introduction of policies to encourage artificial intelligence technology innovation and open source communities, enterprises and other entities actively participated in the construction. Open source innovation was expected to become one of the important cornerstone of China's AGI ecosystem, promoting China to make major breakthroughs in cutting-edge theoretical innovation, from "following" to "leading". 10. ** Model as a Service **: Model as a Service (Maas) will be the core of the AGI ecosystem. "A Short History of the Future: Legends of the Intelligent Era" was equally exciting. Everyone was welcome to click and read it!
Analysis of the current development of AI technology
At present, the development of AI technology presented many situations: In terms of technological breakthroughs, in 2017, Google's artificial intelligence Go program, Alpago, defeated the human Go champion, demonstrating its powerful ability in the field of complex strategy games. The number of changes on the Go board was as high as 1 multiplied by 10 to the power of 170. Alpago learned millions of human chess games and played tens of millions of games to summarize the rules and win. In the development of China, Chinese artificial intelligence companies accounted for 60% of the world's funding, and they had great advantages in vision, speech recognition, and natural language processing. For example, in the field of vision, due to the large demand for security in China, Face Recognition was widely used, and companies like Hikvision had a higher market value. In terms of natural language processing and voice recognition, the characteristics of Chinese provided certain natural advantages for related companies such as iFlytek. From the application level, AI technology has made achievements in the field of ancient book restoration. For example, the scanning all-around king of Hehe Information cooperated with the team of South China University of Technology to solve the problems of incomplete words, handwriting defilement and illegibility in Chinese ancient books. In terms of life, AI phones improved work and life efficiency in terms of language translation, call summary, background replacement, and so on. They also improved security and privacy. AI could also help ordinary people make Short videos accounts on their phones to realize traffic. From the perspective of data, there was a large amount of invalid data at present, which consumed computing resources and posed a challenge to the reliable training of models. In the future, the value of small data and high-quality data would become more and more important. Small data focused on accuracy and relativity, while high-quality data eliminated noise and irrelevant information through screening, cleaning, and annotation to reduce the dependence and uncertainty of artificial intelligence algorithms on data. In terms of human-machine collaboration, it was very important to build a reliable AI system to ensure that its output was consistent with human values. In addition to the quality of the training data set, human values and ethics needed to be transformed into reinforcement learning reward functions to ensure that the AI's abilities and behaviors were consistent with human intentions. In terms of supervision, due to the increasingly prominent compliance, security, and ethical issues of the current AI system, it was necessary to establish an AI supervision model framework similar to the constitution. From the design, training, to deployment stages, clear standards and specifications were needed to ensure compliance and security. " A Short History of the Future: Legends of the Intelligent Era " was equally exciting. Everyone was welcome to click and read it!
The development of China's aerospace industry
I recommend a few super interesting novels. "Starting from the bad guys to dominate the world," written by Ah Tang and Chestnut. The main character Shen Yu could travel through the world, and each world had a random cheat. He had a god-level selection system in the world of the bad guys, a life simulator in the world of Battle Crusher, and a system of the great villains in the world of Douluo. The main character was not a good person, and his moral bottom line was flexible. "100% Drop Rate: Starting from Awakening Divine Luck" was written by a web novel when the game was abandoned. After the game was launched, Su Jing's talent was upgraded from C-grade to S-grade, god-like luck, and his critical hit rate was 100%. He used this to reconstruct the human world. "The Idiot Players Who Run Across the Eight Desolates of Ghost Valley", written by the Great Demon King. Zhang San started the game in the Ghost Valley Eight Desolates Hell Level Sect Ruins and summoned Blue Star players. These players were silly and funny. This NPC is Too Strong, written by Wang Yuchan. Li Yu transmigrated to the game world and took advantage of the players 'lack of development. After the server was opened, she used her NPC identity to let the players do missions to obtain cultivation resources. The Eastern Sequence, Starting from Coroner, was written by Tantai Zongqi. Zhao Yao, the forensic doctor, had transmigrated to a quaint place with corpses beside him. He had returned to his old profession and uncovered the secrets of the warlock world. The novel "Hundred Years of Spaceship" is equally exciting. Everyone is welcome to click and read it!