The upstream of the artificial intelligence industry chain is
The upstream of the artificial intelligence industry chain mainly provided hardware equipment and software services, involving AI chips and other fields. It was an indispensable infrastructure for large model training and AI application development. From the specific content, the upstream is the basic layer, including optical chips, optical modules, AI data centers, memory chips, edge computing, CPO (Optoelectronic Co-packaging), computing power servers, optical devices and other hardware equipment, as well as data services, such as Jingjiawei, Cambrician, Ziguang Guowei, Han's Laser, Keda GuoChuang and other hardware equipment suppliers among the upstream participants of China's artificial intelligence industry, as well as data service suppliers such as Merlin Data, Meiya Boke and UFIDA Technology. "A Short History of the Future: Legends of the Intelligent Era" was equally exciting. Everyone was welcome to click and read it!
Four characteristics of the artificial intelligence industry chain
The downstream of the artificial intelligence industry chain was the application layer. The main features were as follows: 1. ** A wide range of fields **: It covers AI+ games, AI+ finance, AI+ e-commerce, AI+ robots, AI+ medical care, and many other fields. It is integrated and infiltrated in various industries, almost involving all aspects of human social life. 2. ** Directly serve users **: Directly apply artificial intelligence technology to meet the needs of users in different scenarios, such as assisting doctors in diagnosis in the medical field and improving decision-making in the financial field. 3. ** Driving industry change **: Through the support of artificial intelligence technology, the operation mode and efficiency of traditional industries will be changed, and the traditional industries will be transformed and upgraded in the direction of intelligence. For example, smart transportation has changed traffic management and travel experience. 4. ** New application model **: Constantly explore new application models and explore the application potential of artificial intelligence technology in different fields to meet the increasingly diverse and customized market needs. " A Short History of the Future: Legends of the Intelligent Era " was equally exciting. Everyone was welcome to click and read it!
Artificial Intelligence Empowerment Industry
The artificial intelligence enabling industry had many aspects. In terms of application status, China's manufacturing industry accounted for 35% of the global manufacturing market share and was the "main battlefield" for large-scale application of AI. However, there were many problems in the application of artificial intelligence in the industry. For example, the scope of application was narrow, the degree of application was shallow, the effective scene of the large model had not been excavated, and the degree of intelligence of the application was low. In the manufacturing industry, most of them were only used in logistics, quality inspection, etc., and the production and control links had not been fully used, and the degree of application was not high. Most of them only used AI as a knowledge base, far from the application level of prediction and judgment and independent decision-making. In terms of development needs, the manufacturing industry urgently needed comprehensive artificial intelligence innovation. In order to break the "wooden barrel effect", the manufacturing industry could not only rely on the large model to provide power upgrades. It also needed to upgrade the production equipment and production system to complete the construction of the entire AI production line. In terms of development trends, the demand for computing power in the manufacturing industry was moving from cloud-based to cloud-edge integration. The end-side/edge-side reasoning model became a new trend in the future. In order to achieve scale expansion, the focus of AI processing was shifting to cloud collaboration or cloud-edge integration. On the data side, massive amounts of high-quality industrial data elements and corpuses would become the key elements for the deployment of manufacturing models. On the tool side, low-threshold development and lightweight deployment became the focus of industrial AI model exploration. On the model side, it was necessary to promote the combination of general AI models and vertical AI models to meet the needs of various application scenarios in the manufacturing industry. In general, as a general purpose technology, artificial intelligence could be deeply integrated into all aspects of the manufacturing industry and the upstream and downstream industrial chains. It could play an enabling, intelligent, and value-assigning role in industrial development. Through various ways of innovation and development, it was expected to further improve the level of industrial intelligence and production efficiency. "A Short History of the Future: Legends of the Intelligent Era" was equally exciting. Everyone was welcome to click and read it!
Artificial Intelligence Empowerment Industry
With the deep integration of artificial intelligence and manufacturing as the main line, intelligent manufacturing as the main direction, and the artificial intelligence enabling industry guided by scene applications, there were many aspects. The scale of China's manufacturing industry has been the world's number one for 14 consecutive years. The industrial system is complete and has good basic conditions. The scale of the artificial intelligence core industry continued to grow, and innovation results continued to emerge. Its computing power ranked second in the world. From the perspective of consolidating the technical base, it was necessary to promote breakthroughs in basic and original technologies such as large model algorithms and frames, improve the computing power of smart chips, promote digital industrialization, focus on the development of integrated circuits and key software, strengthen the construction of infrastructure such as 5G, data centers, and computing power, and release the value of data. In terms of deep integration, the deep integration of digital technology and the real economy was a distinctive feature of new industrialization. It was necessary to speed up the digitizing of the industry, implement intelligent manufacturing projects in depth, strengthen the integration and application of artificial intelligence in the entire manufacturing process to improve the level of intelligence in all aspects, promote the pilot demonstration of artificial intelligence, and expand the application scenarios to promote the "smart transformation" of enterprises. It was also necessary to build smart products and equipment, make use of the characteristics of large models to promote the upgrade and repetition of high-end equipment, key software, and smart terminal. It was also necessary to vigorously develop smart products and equipment, smart factories, and smart supply chains, so as to play the role of artificial intelligence in magnifying, stacking, and multiplying industrial development. " A Short History of the Future: Legends of the Intelligent Era " was equally exciting. Everyone was welcome to click and read it!
Artificial Intelligence Empowering Industry
The power of artificial intelligence in the industrial field was reflected in many aspects. From the perspective of education, Chengdu Institute of Industry and Technology has built an "artificial intelligence +" AI self-adapting classroom, which constructs an "AI+ intelligent learning partner" education classroom through digital technology. For example, the establishment of the AI Golden Course Research Center to promote the transformation of AI courses, the establishment of the compulsory course of "artificial intelligence", the custom-made students 'customized work orders through project-based teaching, and the intelligent interaction to track the relevant situations of students' learning and match them with learning resources. He also built an "AI+ curriculum thinking and politics" education classroom, from school to classroom, connecting the five levels of curriculum thinking and politics education goals and constructing relevant knowledge maps and case bases; he also built an "AI+ positive psychology" education classroom, cooperated with Tsinghua University team, and used various platforms to measure students 'situation and provide customized services. In terms of industrial production, there were some problems with the current application of artificial intelligence in the industry, such as narrow application scope, shallow degree, large model effective scenes that had not been excavated, low application intelligence, etc. The intelligent upgrade of a single production scene was difficult to improve the production efficiency of the entire production line. The manufacturing industry was the "main battlefield" for large-scale application of AI (China's manufacturing industry accounted for 35% of the global manufacturing market share). There were a large number of potential application scenarios in the big model that ran through all aspects of production and operation. However, at present, there were only shallow applications in logistics, quality inspection, and other aspects. It had not been fully utilized in production and control. Moreover, most manufacturing enterprises only used AI as a knowledge base application, far from reaching the application level of prediction and judgment and independent decision-making. However, there were also countermeasures. For example, Nortel's digital intelligence Yang Zhen proposed that the manufacturing industry needed a comprehensive artificial intelligence innovation. In order to break the "wooden barrel effect" of the large model landing manufacturing industry, in addition to relying on the large model to provide power upgrades, it was also necessary to upgrade the production equipment and production system to complete the construction of the entire AI production line. From the perspective of development prospects, artificial intelligence technology itself was developing rapidly, especially large model technology. Based on "big data + large computing power + strong algorithms", it would reshape the basic form of production and consumption. AIGC, AI4S, AGI and other application scenarios were expected to have opportunities for a transformation of the model. Moreover, the industry was playing an increasingly important role in the development and application of AI technology. At the same time, the market size of China's artificial intelligence industry was expected to maintain steady growth and was expected to exceed the trillion mark by 2029. By 2028, more than 60% of enterprises were expected to incorporate AI literacy into their data and analysis strategies. In addition, national policies also supported the development of the artificial intelligence industry, such as the launch of the Global Artificial Intelligence Management Initiatives, which would help artificial intelligence better play an enabling role in various fields such as industry. "A Short History of the Future: Legends of the Intelligent Era" was equally exciting. Everyone was welcome to click and read it!
artificial intelligence and manufacturing industry
The deep integration of artificial intelligence and manufacturing industry was an important part of promoting the high-quality development of the digital economy. It was of great significance to promote the self-reliance of science and technology, accelerate the construction of a powerful manufacturing country, and build a new competitive advantage for the country. From the perspective of content and operation mechanism, the integration of the two had four challenges: artificial intelligence engineering ability, mission scenario, data collection, and fusion support elements. In order to promote the deep integration of artificial intelligence and manufacturing industry, suggestions such as strengthening engineering practice ability, enriching industrial application scenarios, perfecting data management and governance, and complementing integrated development elements could be taken. The world's major economy has introduced strategic plans for scientific and technological innovation to support the development of key technologies and industries related to artificial intelligence and manufacturing. China also attached great importance to the integration and development of manufacturing and digital technology. Since the State Council issued the "Made in China 2025" in May 2015 and put forward relevant development requirements, it has focused on the integration and development of digital economy and manufacturing. It has successively issued a series of policies and plans, such as the Guiding opinions of the State Council on deepening the integration and development of manufacturing industry and the Internet, the Intelligent Manufacturing Development Plan, the Industrial Internet Development Action Plan, the Guiding opinions on promoting the deep integration of artificial intelligence and the real economy, and the Guiding opinions on accelerating scene innovation to promote high-quality economic development with high-level application of artificial intelligence. The report of the 20th National Congress of the Party once again emphasized the need to speed up the deep integration of the digital economy and the real economy. " A Short History of the Future: Legends of the Intelligent Era " was equally exciting. Everyone was welcome to click and read it!
The main track of the artificial intelligence industry
The main tracks of the artificial intelligence industry included, but were not limited to, the following: 1. ** Chip field **: For example, smart chips. The chip is the core of artificial intelligence hardware and provides basic computing power support for artificial intelligence operations. 2. ** Hashing power server **: It involves the R & D and optimization of servers that provide powerful computing power. For example, Sichuan uses its national computing power platform to develop the artificial intelligence industry with sufficient computing power resources. 3. ** Arithmetic model construction **: For example, Baidu's " Wen Xin Yi Yan " and so on. Different algorithm models determine the accuracy and efficiency of artificial intelligence when processing tasks. It can be used in a variety of application scenarios such as writing articles, dialogue, image recognition, etc. 4. ** Software Development **: Covers the development of artificial intelligence-related software for different application scenarios such as smart home, autonomous driving, smart customer service, medical diagnosis and other software systems. 5. ** Artificial intelligence industry ecosystem related **: For example, Guangdong's artificial intelligence industry ecosystem industry competition was open to companies mainly engaged in related businesses in this field, including the comprehensive track of enterprise operation management, innovation ability, and other aspects of development. 6. ** Scenario-specific applications **: For example, applications in industrial intelligent transformation, Face Recognition, medical auxiliary robots, etc. These scenarios require the development of artificial intelligence solutions for specific needs. " A Short History of the Future: Legends of the Intelligent Era " was equally exciting. Everyone was welcome to click and read it!
Artificial Intelligence Industry Development Report
The following is related to the development of the artificial intelligence industry: ** I. Market Scale ** 1. ** Global market size ** - In 2024, the global artificial intelligence chip market is expected to reach between 67.1 billion and 71.25 billion US dollars, with a year-on-year growth rate of about 25.6% to 33%. - By 2025, the market size was expected to grow further to 91.96 billion to 92 billion US dollars. 2. ** China Market Scale ** - In 2023, China's artificial intelligence chip market reached 120.6 billion yuan, up 49% year-on-year. ** 2. Competition Pattern ** 1. ** Worldwide ** - International chip giants such as Nvidia, Intel, and AMD dominated the global market with their strong technical strength and market share. 2. [China] - Technology giants such as Baidu, Huawei, and Ali were actively deploying artificial intelligence chips in the China market to promote the development of domestic artificial intelligence chips. At the same time, local manufacturers such as Horizon, Shenjian Technology, and Cambria showed strong competitiveness in specific fields or application scenarios. ** 3. Technology-related ** 1. ** Method Type ** - At this stage, artificial intelligence algorithms were mainly based on deep learning algorithms, including other shallow machine learning algorithms. - In terms of technological essence, artificial intelligence could be divided into three categories: symbolism, Connectionist, and behavior (from Wang Tao's point of view). The current artificial intelligence (including large models, etc.) was essentially a probability of statistics and analysis. It had the characteristics of probability technology, which meant that it was impossible to have high reliability, success rate, and accuracy rate. 2. ** Chip Type ** - AI chips mainly included CPU, CPU, and the ADC chips represented by VPUs and TPUs. Among them, the CPU was the most used. It was estimated that by 2025, the CPU would still occupy 80% of the AI chip market share. ** 4. Field of application ** 1. ** Medical field ** - In China, artificial intelligence had made significant breakthroughs in the medical field. For example, China Medical demonstrated its potential in medical imaging diagnosis, disease prediction, drug development, and other aspects through large language models, deep learning, and other technologies. It was awarded the "2024 Medical Model application innovation award", undertaking the construction and maintenance tasks of several national medical data platforms, releasing medical models and all-in-one machines, and cooperating with many medical institutions to carry out multi-scene applications. - Guiyang Langma Information developed the "39AI General Practitioner", which was the first medical model that passed the national record. It has provided medical consultation and accurate auxiliary diagnosis services to users, and built a closed loop of "Internet + medical" health services. - Medical quasi intelligence, Shenrui Medical, and Shukun Technology had outstanding performance in the field of AI medical imaging diagnosis. 2. ** Other Domains ** - In terms of smart manufacturing, AI could be used to improve production efficiency and quality. - In the field of autonomous driving, AI technology is driving the intelligent transformation of the auto industry, and it is expected to achieve full autonomous driving in the future. - In the field of smart home, AI technology could provide users with a more intelligent and convenient home life experience. - In the field of financial technology, AI technology could improve the intelligence level of financial services and reduce financial risks. ** 5. Problems ** - Artificial intelligence had been hyped up for a long time, and there was a bubble phenomenon. After the bubble burst, it was hyped up again. Moreover, because artificial intelligence was a probability based on statistics, its reliability, success rate, and accuracy were limited. At the same time, some laymen (such as some big V or best-selling authors) may lack evidence for the development of artificial intelligence because they may not understand the laws of chip development (such as the changes in Moore's Law) and the nature of artificial intelligence probability technology. "A Short History of the Future: Legends of the Intelligent Era" was equally exciting. Everyone was welcome to click and read it!
Global Artificial Intelligence Industry Scale
In 2023, the global artificial intelligence industry reached 707.8 billion US dollars. " A Short History of the Future: Legends of the Intelligent Era " was equally exciting. Everyone was welcome to click and read it!
Artificial intelligence industry development trend
The development trend of the artificial intelligence industry was as follows: 1. ** The rise and popularity of AI big models **: Artificial intelligence big models (such as the GPM series, Bert, etc.) have been successful. They are based on big data training and have powerful natural language understanding and generation capabilities. As technology advanced, large models would become more popular and more widely used in fields such as intelligent assistants, knowledge graphs, and automated content creation. 2. "The development of embodied intelligence and physical AI": Artificial intelligence is developing towards materialization and embodiment. Incarnate intelligence can interact with the environment through sensors and actors in the real world and make adaptable behaviors. It is supported by the advancement of robotic technology, autonomous driving, AR, and VR technology. It plays an important role in manufacturing, medical surgery, disaster relief, and other fields. 3. ** Breakthrough in Generative AI **: Generative AI models such as ChatGPM and DALL-E2 demonstrated powerful content generation and creativity. They could generate articles, pictures, music, and simulate real-life scenes. In the future, there would be more applications in scientific research, creative design, and customized services, changing the way content was produced and innovative. 4. ** In-depth application of AI in the medical field **: The application of artificial intelligence in the medical field covers disease diagnosis, drug development, customized treatment, and health monitoring, improving the efficiency and quality of medical services. In the future, with the emergence of more medical data and more powerful algorithms, there would be more breakthroughs in the accuracy of medical diagnosis, early detection of diseases, and the personalization of treatment plans. 5. ** Green AI and sustainable development **: Green AI has become a new research direction, aiming to reduce the energy consumption and carbon footprint of AI models through optimization of algorithms and computing architecture. In the future, the practice of green AI will promote energy conservation and pollution reduction in data centers, promote the application of artificial intelligence in the field of environmental protection, and contribute to global sustainable development. 6. ** Multi-Modality Generative AI Development **: Able to process and generate data in multiple modes (such as text, images, audio, and video) at the same time, making AI applications richer and more realistic. For example, in film and television production, high-quality video content can be generated according to scripts, improving creative efficiency and the quality of works. 7. ** Technology Integration **: Artificial intelligence will be integrated with more technologies (such as the Internet of Things, 5G, and Blockchain) to form new application scenarios and solutions. 8. ** innovative applications **: Create more innovative applications in the fields of health care, education, transportation, and other fields to improve service quality and efficiency, such as smart medicine (disease diagnosis, gene editing, drug research and development, etc.), smart home (intelligent control of household equipment), and smart transportation (optimization of traffic flow management, autonomous driving, vehicle safety, etc.). 9. ** Market expansion **: The artificial intelligence market will continue to expand, and more developing countries will join in to promote the global artificial intelligence industry. 10. ** Talent Cultivation **: With the rapid development of the industry, the demand for talents will continue to increase. In the future, more attention will be paid to the cultivation and introduction of talents. 11. ** Artificial intelligence surpasses humans in specific tasks and the gap is changing **: It has surpassed human performance in tasks such as image classification, visual reasoning, and English comprehension, but it still falls behind humans in more complex tasks such as competition mathematics, visual reasoning, and planning. 12. ** Industry leads artificial intelligence research **: Industry plays a leading role in the field of artificial intelligence research, launching more famous AI models, and industry-university cooperation is also increasing. 13. ** Increase work productivity **: Artificial intelligence can improve work efficiency and quality, and even narrow the skill gap between low-skilled and high-skilled workers. 14. ** Acceleration of scientific progress **: More extensive and in-depth applications in the field of scientific discovery, and a series of breakthrough results. 15. ** Increase in the number of regulations **: The number of regulations related to artificial intelligence in the United States has increased significantly in the past year, and the number of mentions of artificial intelligence in the global legal process has reached an unprecedented level. 16. ** Large models are deeply enabling vertical industries and cutting-edge fields **: Large models are becoming an important tool for cutting-edge research, demonstrating their potential in new materials, biomedicine, energy science and other fields. "A Short History of the Future: Legends of the Intelligent Era" was equally exciting. Everyone was welcome to click and read it!
The application of artificial intelligence in the restaurant industry
Artificial intelligence had many applications in the restaurant industry. From the perspective of intelligent robots, the embodied intelligent robots obtained a food business license, which allowed AI dining robots to enter the food and beverage market. In the cooking segment, there were cooking models and equipment similar to the kitchen intelligence of Wande Kitchen, which could produce delicious dishes. They could also handle dishes that required high taste and were difficult to control, such as fat sausages and pickled vegetables. They could also cook many kinds of dishes at the same time. For example, when cooking buns, bread, and milk at the same time, they could achieve different temperatures in the same cavity. AI was also widely used in food and beverage marketing. These applications could help the food and beverage industry reduce costs and increase efficiency when faced with problems such as high housing rents, high food prices, and obvious loss of employees. They could also regulate the food processing process and meet the refined needs of consumers for the taste of dishes. " A Short History of the Future: Legends of the Intelligent Era " was equally exciting. Everyone was welcome to click and read it!