What does the artificial intelligence industry include?
The artificial intelligence industry chain was mainly divided into the upstream basic layer, the midstream technical layer, and the downstream application layer. The basic layer was the foundation of the artificial intelligence industry. It mainly included hardware equipment (such as Jingjiawei, Cambricon, Ziguang Guowei, Han's Laser, Keda GuoChuang, etc. to provide relevant hardware) and data services (such as Merlin Data, Meiya Boke, UFIDA Technology to provide data services), providing computing power support and data foundation for artificial intelligence. The technology layer was the core of the artificial intelligence industry, mainly including general technology (such as Haitian Ruisheng, Green Deep Pupil, etc. to provide general technology), algorithm models (Saiwei Intelligence, Jiadu Technology, etc. to provide algorithm models), and development platforms (Baidu Group, Alibaba.com, etc. to provide development platforms) to provide technical support for the artificial intelligence industry. The downstream application layer involved many application products and scenarios, mainly including language terminal, smart car, robot, visual products, smart education, smart medical care, smart manufacturing, etc. There were many downstream application market participants, such as Xiaopeng Automobile, Junsheng Electronic, Midea Group, Desay Xiwen, Rainbow Technology, Oufei Light, etc. "A Short History of the Future: Legends of the Intelligent Era" was equally exciting. Everyone was welcome to click and read it!
The characteristics of artificial intelligence include
Artificial intelligence products had the following main characteristics: 1. Unpredictable: Early artificial intelligence was used as an auxiliary tool for human creation, but now its internal design process is like a black box, and people cannot predict its generated content. 2. The indirect expression of human thoughts: Human works are the direct expression of the author's own thoughts based on knowledge learning and life thinking, while artificial intelligence products are based on algorithms developed by humans. The staff enters a large amount of data for deep learning, and then filter, arrange, and integrate the content according to keywords. Therefore, it is the result of indirect expression of human thoughts through artificial intelligence. 3. No difference from the appearance of a human work: Without explaining the source, even an experienced person would find it difficult to distinguish between an artificial intelligence product and a human work. " 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 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 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 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!
What does artificial intelligence include?
Artificial intelligence included breakthroughs in computing power, data flooding, and algorithm innovation. Its technical system included machine learning, natural language processing, image processing, and human-computer interaction. It was a cross-discipline that integrated computer science, cybernetics, information theory, neurology, psychology, grammar, philosophy, and many other disciplines. The core was machine learning algorithms, which simulated human thinking and behavior through computers. It referred to a system that had a certain degree of autonomous action by analyzing its environment to achieve specific goals and display intelligent behavior. " 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. 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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!
The role of artificial intelligence in the digital industry
Artificial intelligence has many important effects on the digital industry: 1. Driving innovation and integration: Artificial intelligence will be more widely used in various fields of the digital industry and deeply integrated with traditional industries to create new value and possibilities. For example, in China, the promotion of "artificial intelligence +" had become a key step in accelerating the development of new quality productivity. It could enable the deep integration of artificial intelligence and traditional industries to create new value. 2. ** Increase production efficiency **: In the relevant production scenarios of the digital industry, such as the digital workshop and smart factory that have been built, the R & D cycle has been shortened by about 20.7% and the production efficiency has increased by about 34.8% after the AI transformation. This shows that artificial intelligence can improve the production efficiency of the industry. 3. ** Activate the value of data **: Artificial intelligence is an innovative measure to crack the data "sleeping syndrome", architecture "imbalance", and ecological "autism" of the digital industry cluster. Through big data analysis and machine learning technology, it could mine and utilize massive amounts of data, improve the efficiency of resource allocation, rely on digital platforms to promote innovation and collaboration, and promote the intelligent transformation and development of the cluster as a whole. To be specific, the key point of activating the value of data was to break through key technical bottlenecks to accurately enable enterprise intelligent innovation. Artificial intelligence technology (such as big data analysis, machine learning, and deep learning) could process and analyze massive amounts of data, excavate potential market trends, technological innovation points, and operational optimization solutions, break through the limitations of traditional data processing methods, and help enterprises better understand market demand and user behavior, and then carry out accurate product development and market positioning. 4. ** Become an important engine of development **: Artificial intelligence has become an important engine for the development of the digital economy and new productivity. In the digital industry, training to build vertical domain models and using low-cost data traffic supply would help to promote the development of the digital industry. 5. ** Helping business operations **: For example, in terms of corporate marketing, you can customize AI to obtain digital people to help companies better develop their business. "A Short History of the Future: Legends of the Intelligent Era" was equally exciting. Everyone was welcome to click and read it!
Support the development of artificial intelligence industry
In recent years, many people have shown positive support for the development of the artificial intelligence industry. From a policy perspective, Tan Zuojun, deputy director of the State Council's state-owned assets supervision and administration commission, said at the 2024 China Top 500 Enterprise Summit Forum that efforts should be made to promote industrial reform and innovation, including artificial intelligence, to implement the strategic emerging industry rejuvenation action in depth, to focus on the layout of relevant fields to build future industries, and to cultivate and strengthen new productivity. From the perspective of the local park, the Nanjing economic development zone has been effective in promoting the development of the artificial intelligence industry. Since 2021, on the basis of the implementation of the "Ninghang Action" plan for the listing of Nanjing enterprises, under the guidance of the Financial Office of the Municipal Party Committee, the action plan to promote the listing of enterprises in the economic development zone has been drafted and implemented in depth. It is planned to cultivate 20 listed companies by 2026. It established two professional teams, one was a special class for listing composed of multiple departments in the park, and the other was an external financial class composed of expert teams. They gathered various resources to create an "air classroom" for the capital market, so that enterprises in the park could obtain training and information about the capital market. With such support, artificial intelligence companies such as Mobvoi in the park developed well. Mobvoi was listed on the Hong Kong stock exchange on April 24,2024, with initial financing of more than 300 million Hong Kong dollars, becoming the first stock of AIGC (Generative Artificial Intelligence) in Hong Kong. In terms of industry alliances, the new generation of artificial intelligence industry technology innovation strategic alliance was established on July 23rd, 2017. It aims to support the development of the artificial intelligence industry and establish a healthy and orderly ecosystem. Its members include many well-known enterprises, universities, and research institutions. The China Artificial Intelligence Industry Development Alliance (Aiia), which was established on October 13 of the same year, also had a positive significance in promoting the development of the artificial intelligence industry. In addition, the industry report also reflected the potential and opportunities for the development of the artificial intelligence industry, attracting attention from all over the world. For example, the "Artificial Intelligence Global Transformation Vision: The Arrival of the Transformation Point (2023)" jointly released by KPM and Zhongguancun Industry Research Institute summarized ten trends in the development of the artificial intelligence industry. China was expected to build a global competitive artificial intelligence industry cluster, which indicated that the artificial intelligence industry was of great development value. "A Short History of the Future: Legends of the Intelligent Era" was equally exciting. Everyone was welcome to click and read it!