What is the future development trend of AI education?
The future development of AI education has many trends: ** I. Technology Integration and innovation ** 1. ** Increase in intelligence ** - With the continuous development of machine learning, natural language processing, and other technologies, AI education will transform from simple auxiliary teaching tools to smarter educational partners. For example, by accumulating a large amount of student learning behavior data like Squirrel Ai, it continuously optimized the intellectual adaptation education model to achieve more accurate and customized learning services for students. In the future, there might be more AI educational products that could adjust the teaching content and methods in real time according to the students 'emotions, learning progress, knowledge mastery, and other multi-dimensional information. - Generative artificial intelligence technology would be further developed and widely used in education. It had already begun to show signs in higher education. Not only could it provide students with customized learning resources, such as real-time generation of text, video, and other learning materials according to students 'needs, but it could also assist teachers in teaching design, homework marking, and other work. This technology might gradually be popularized in primary and secondary education and other education stages. 2. ** Multi-technology integration ** - VR, AR, and other technologies will be further integrated with AI education. In higher education, VR and AR technology had broken the boundary between virtual learning space and physics teaching space. In the future, it might be more widely used in primary and secondary education, allowing students to learn more immersively. For example, through VR to experience historical scenes, scientific experiments, etc., it would improve the fun and effect of learning. - Intelligent teaching equipment such as the whiteboard, smart desk, and intelligent teaching assistant would be upgraded continuously to work better with AI technology to achieve more efficient and customized teaching. ** 2. Education ecological transformation ** 1. ** Personalized learning becomes mainstream ** - Whether it was from the development needs of "AI+ Education" or from the current practice of products such as Squirrel Ai, the core trend of the future was to meet the individual differences of students. Every student would receive learning content, progress arrangements, and learning methods customized according to their own learning history, ability level, interests, and other factors, truly realizing the student-centered educational philosophy. 2. ** Changing the role of the teacher ** - As for the teachers, their focus would shift. In the "teaching" scene, teachers would be freed from tedious teaching tasks such as teaching research, lesson preparation, teaching, answering questions, setting questions, marking papers, etc., and pay more attention to the cultivation of students 'comprehensive quality, emotional care, and guidance of innovative thinking. In the "management" scenario, education managers would rely more on AI technology to improve decision-making efficiency and realize scientific management, such as using AI to recruit staff, supervise teachers and students, enroll students, arrange classes, campus construction and other work. ** 3. Market and industrial layout ** 1. ** Regional Concentration and Expansion ** - In China, AI education industry manufacturers were mainly distributed in the eastern coastal areas, such as Beijing, Shandong, Jiangsu, Shanghai, Zhejiang, Guangdong and other provinces and cities. In the future, these regions may continue to maintain a leading position in AI education technology research and development, product innovation, etc., and gradually expand their business to the central and western regions to achieve balanced development of educational resources. 2. ** The industrial chain is constantly improving ** - From the perspective of the AI education industry chain, the upstream hardware facilities such as chips and sensors, as well as technology and network services, would be continuously optimized to provide more powerful support for intelligent education services such as intelligent teaching, intelligent learning, intelligent examination and evaluation in the middle reaches. The downstream G-end (education department), B-end (campus, educational institutions), C-end (teachers, students, parents) and other subjects would be more closely connected, forming a virtuous cycle of industrial ecology. ** 4. In terms of policy guidance and talent cultivation ** 1. ** Sustained development supported by policies ** - Due to the importance the country attached to the development of AI technology, it integrated AI enabling education and the cultivation of AI education talents, and introduced relevant policies to promote the development of AI+ education. In the future, with the support of policies, AI education would be promoted and applied in more schools and educational institutions, and there would be more explorations in terms of curriculum design and teaching model innovation. 2. ** Increasing demand for AI education talents ** - In order to promote the development of AI education, the demand for compound talents who understood both education and AI technology would continue to increase. On the one hand, universities might strengthen the construction of relevant majors and train more professionals; on the other hand, in-service teachers and other education workers also needed to receive continuous training to improve their AI literacy. "A Short History of the Future: Legends of the Intelligent Era" was equally exciting. Everyone was welcome to click and read it!
Future Development of AI Education
The following are the possible future development trends of AI education: 1. ** Personalized learning, in-depth development **: - By accumulating more data on students 'learning behaviors, for example, Squirrel Ai had accumulated 10 billion learning behaviors of 24 million students. In the future, it would be more accurate to create a customized learning plan for each student. It could find past learning loopholes from every wrong question of the students, and use AI algorithms to track the source of knowledge loopholes. Not only could it provide solution ideas or knowledge framework, but it could also take care of the students 'learning emotions and adjust the difficulty of the learning content in real time according to the students' learning status. - With the development of technology, personalized learning would not only stop at the level of knowledge imparting, but also involve learning methods, learning rhythm, and many other aspects of personalization. 2. ** Education model innovation **: - The development of the smart education model would push forward the transformation of the education model. For example, Squirrel Ai was developing the smart adaptation education model to create virtual teachers. In the future, class tutoring and even private tutoring might be replaced by virtual teachers. This would change the traditional face-to-face teaching model between teachers and students and provide more in-depth customized services. - In terms of teaching scenes, whether it was " teaching,"" learning,"" management," or " examination," new models would be created due to the integration of AI. For example, in the "teaching" link, teachers 'teaching research, lesson preparation, teaching and other work may be more efficient and accurate with the help of AI; In the "learning" link, students' preparation, review and other work will have more intelligent auxiliary tools; In the "management" link, the school's management decisions will be more scientific; In the "examination" link, automated review will become more popular on the premise of ensuring accuracy. 3. ** Extension of application scenarios **: - From the perspective of the industrial chain, the upstream hardware facilities, technical services, and network services would continue to develop to support AI education. The intelligent teaching, learning, examination, evaluation, and other services provided by the middle stream would be more diverse and intelligent. The downstream education department, campus, educational institutions, teachers, students, parents, and other subjects would also continue to expand their demand and application scenarios for AI education. For example, schools might integrate AI education into the teaching of more subjects, and off-campus educational institutions would also develop more courses based on AI. - As AI technology matured, AI education would expand from the common knowledge learning scenarios to more diverse educational scenarios, such as professional skills training, art education, physical education, and other fields. 4. ** Become a key support direction of the national education strategy **: - The country attached great importance to the application of AI technology in the field of education. As the education field had the dual characteristics of combining AI technology and promoting the development of AI technology, the national and local governments would continue to introduce relevant policies to promote the development of AI + education. They would also propose special policies for the cultivation of AI quality among young people in schools to reserve sufficient AI backup talents. 5. ** Promotion of education fairness **: - By providing standardized, high-quality intelligent education services, students from different regions and economic conditions could enjoy high-quality educational resources. For example, in some rural areas where educational resources are relatively scarce, AI education can provide local students with educational content and learning experiences similar to those in developed areas through online platforms. 6. ** Integration with other educational concepts and technologies **: - With the integration of new models such as Steam education, programming and artificial intelligence courses offered in primary and secondary schools may also be better integrated with AI education, enriching the content and form of education. - With the continuous development of 5G, big data, cloud computing and other technologies, AI education will be deeply integrated with it to improve the level of educational information and provide more efficient and convenient services for students and instructors. " A Short History of the Future: Legends of the Intelligent Era " was equally exciting. Everyone was welcome to click and read it!
Future development direction and trend chart of AI
The future development of AI showed many trends: 1. ** Enhanced self-learning ability **: With the advancement of machine learning algorithms, AI will be able to learn and adapt to new environments more independently, reducing its dependence on human intervention. 2. ** Personalized Service Popularity **: AI will provide more customized services based on personal preferences and behavior patterns. 3. ** Multi-Agent Cooperation **: The AI system can cooperate with other AI systems to solve complex problems. 4. ** Realization of superhuman intelligence **: The ability to develop beyond human cognition and processing ability in a specific field. 5. ** Pay attention to ethics and safety **: As AI capabilities improve, discussions on AI ethics and safety will become more important to ensure its healthy development. 6. ** Interdisciplinary integration and ethical considerations are more concerned **: The development of AI is not only a technological advancement, but also involves more cross-disciplinary content, and more attention will be paid to ethical considerations in the development process. 7. ** Technology innovation **: - ** Arithmetic Breakthrough **: Deep learning, reinforcement learning, and other algorithms continue to evolve. AI can handle more complex tasks and achieve higher levels of cognition and decision-making. - ** Chip Acceleration **: Research and development of dedicated AI chips to improve AI computing power, reduce energy consumption, and make AI applications more popular and efficient. - ** Explanation **: develop an explainable AI model that allows humans to understand the AI decision-making process. - ** Human-computer collaboration improvement **: By improving the human-computer interaction interface and augmented reality technology, AI will better collaborate with humans. 8. ** The rise of small data and high-quality data **: Small data focuses on accuracy and relativity. High-quality data is filtered, cleaned, and labeled to remove noise and irrelevant information, reducing the dependence and uncertainty of algorithms on data, and enhancing network reliability. Diverse data sets can help solve the bottleneck of general artificial intelligence. 9. ** Human-machine alignment **: Build a trustworthy AI system to ensure effective cooperation between humans and AI. Transform human values and ethics into reinforcement learning reward functions, so that AI output results are consistent with human values. 10. **AI Constitution Establishment **: Establishing an AI supervision model framework similar to the Constitution Superior Law to ensure the compliance, safety, and risk reduction of AI system development and use. 11. ** Development of an explainable model **: An explainable approach allows the decision-making process and results of the AI model to be described. It improves the explainability while ensuring effectiveness, reduces the consumption of public resources, increases user trust, and improves application in key areas. " A Short History of the Future: Legends of the Intelligent Era " was equally exciting. Everyone was welcome to click and read it!
Ai's future industry culture development trend
Currently, the integration of AI and culture was an important development trend. In terms of literary creation, AI technology was deeply integrated with literature. Under this trend, cultural creation showed the characteristics of AI, digitizing, and technology. From a market perspective, the development of AI technology affected many culture-related industries. Taking Short videos, film and animation, cultural tourism and other industries as an example, Wensheng's video AI model brought impact and challenges, but also contained opportunities. For example, in the face of the wave after the release of Sora, the big video model of openAI, China companies needed to start their own exploration of the big video AI model. Within the cultural industry, the application of AI could help reduce costs and increase efficiency, which was in line with the country's policy direction of encouraging enterprises to cultivate new productivity. However, the integration of culture and technology also faced challenges, especially the effective integration of traditional culture into the application of AI technology. Whether it was transformed into standardized products or developed into visual and non-contact products, it would take time to accumulate and settle. From the perspective of talent, with the popularity of AI and the lowering of the threshold for content creation, China's population bonus, which had the largest number of netizens in the world, was expected to transform into the vitality of cultural innovation. In the specific fields of the cultural industry, such as the cultural tourism industry, the influence of AI was also increasingly prominent. For example, Shaanxi Cultural Investment Group joined hands with many industry giants to create a number of AI innovative applications around AI cultural tourism model, artificial intelligence, digital human and smart scenic spots, IP meta-universe, Short videos AI innovation application platform, etc., constantly activating AI new productivity in the fields of AI enabling cultural tourism IP, AI mini-drama production, digital cultural creativity, etc., and promoting the high-quality development of cultural tourism industry. At the same time, some enterprises actively explored the innovative application of artificial intelligence technology in the cultural tourism industry, developed a variety of products such as digital employees, cultural tourism knowledge map, etc., and promoted the application of new scenes of cultural tourism consumption. In the field of education, the Ministry of Education would also implement the artificial intelligence enabling action to promote the deep integration of intelligent technology, education, teaching, and scientific research. In the future, there might be new cultural development trends in cultural inheritance and cultural literacy education. " A Short History of the Future: Legends of the Intelligent Era " was equally exciting. Everyone was welcome to click and read it!
The development trend of AI technology
The development trend of AI technology was as follows: 1. ** The rise of small data and high-quality data **: In the AI era, the importance of data is self-evident, but a large amount of invalid data consumes computing resources and affects model training. 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. High-quality data was filtered, cleaned, and labeled to eliminate noise and irrelevant information, which could reduce the dependence and uncertainty of artificial intelligence algorithms on data and enhance network reliability. The construction of diverse data sets could theoretically support the development of AI with different technical routes and provide a possibility to solve the bottleneck problem of general artificial intelligence. 2. ** Man-machine alignment-building a trustworthy AI system **: Building a trustworthy AI system to ensure effective cooperation between humans and AI is essential. In addition to the quality of the input training data, the reliability of the AI system was also reflected in the executibility of the output results. Only when the output was in line with human values could the AI model's abilities and behavior be consistent with human intentions. 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 efficiency, effectiveness, effectiveness, and ethical standards of behavior needed to be taken into account. 3. **AI " Constitution "-ensure compliance and safety **: The current AI system's compliance, safety, and ethical issues are prominent. It is necessary to establish an AI supervision model framework similar to the Constitution. During the design phase, the social impact of monitoring people, guiding values, and overuse in the military field should be considered; during the training phase, the data and algorithms should not violate user privacy or cause unfair results; during the deployment phase, the operation status of the system should be continuously monitored to discover and fix risks and loopholes in a timely manner. 4. ** An explainable model-making AI more transparent and credible **: The explainable method aims to make the decision-making process and results of the AI model describable, so that humans can understand, evaluate, supervise, and intervene in the model's behavior, balancing the reliability and effectiveness of the algorithm. Increasing the explainability under the premise of ensuring effectiveness could reduce the consumption of public resources, enhance user trust, and promote applications in key areas, such as assisting doctors in diagnosis in the medical and health field, and clearly providing risk assessment and investment strategies in the financial services field. 5. ** Multi-mode large model development **: Inspired by human multi-sensory intelligence, AI will have the ability to perceive the world with vision, hearing, and other abilities. Vision, hearing, and so on could be used as direct input to the AI, using the same learning method as the large language model, and aligned with the language semantics to achieve the intelligent ability of multi-mode alignment. 6. ** Video Generation Evolves to World Model **: The world model is built on the basis of understanding common physics knowledge. Although there are many problems with the development of the world model in the video, it is learning the visual imagination and minute-level future prediction ability. These are the basic characteristics of the world model. 7. ** End-side large model development **: By increasing the intelligence of the model and reducing the parameters, the " large model is made small " can be deployed to run independently on the terminal. This could improve data processing speed, reduce data transmission requirements, reduce network load, and protect user privacy. It could also enhance users 'trust in AI technology. At present, domestic and foreign mobile phone manufacturers have made progress in this area. 8. AI research from auxiliary to active: Current scientific discoveries mainly rely on human intelligence for experiments and verification, and information technology only plays a supporting role in verification. On the other hand, artificial intelligence had advantages in terms of memory, high-dimensional complexity, full field of vision, depth of reasoning, conjectures, and so on. It had shown potential in scientific research, and some recent results also showed a trend of leaping from inference to reasoning. 9. " Development of Incarnate Intelligence ": Incarnate intelligence is an intelligent entity that has a physical body and can interact with the physical world, such as robots and autonomous vehicles. The multi-mode large model was used to process the sensory data input and generate a motion command to drive the intelligent body. It replaced the traditional driving method and realized the deep integration of virtual and reality. It had a wide application prospect in the first and second industries. 10. ** Combining AI with various industries to form artificial intelligence +**: AI as a general technology, combining with existing technologies and industries to produce a multiplying effect. " A Short History of the Future: Legends of the Intelligent Era " was equally exciting. Everyone was welcome to click and read it!
The development trend of artificial intelligence education
Artificial intelligence education showed a multi-directional development trend: In terms of education, the traditional dual structure of teachers and students would be transformed into a three-dimensional structure of teachers, machines, and students. The machine became an intelligent teaching assistant, student partner, or tutor, learning and growing together with teachers and students, bringing about changes in learning methods and management evaluation, creating new educational scenarios to support customized learning, such as gamified learning, social learning, cooperative learning, autonomous learning, question-driven learning, project-based inquiry learning, and so on. In terms of promoting the main body, the government's attention has been increasing. For example, China proposed to carry out the "artificial intelligence +" action, and Sichuan listed artificial intelligence as the province's "No.1 innovation project". They would also hold relevant competitions and forums to attract the participation of all parties, such as the national " Artificial Intelligence +" industry application innovation competition and related forums, gathering experts, scholars, industry leaders, and education workers to discuss the development path. In terms of resource allocation, it was conducive to the balanced distribution of educational resources, so that more schools and students could enjoy high-quality educational resources and services. In terms of technological innovation, artificial intelligence itself could promote the innovation of educational technology, such as developing new teaching tools, improving learning methods, etc., injecting new vitality into the development of education. At the same time, for the generation of artificial intelligence, there will be developments in multi-mode functions in the next few years. For example, the ability to provide images and videos from short text fragments will be improved, and the text to image, text to video, and Text To Speech technology will be improved. The model's context understanding ability will also be improved. Model developers will work to eliminate the bias and ethical issues caused by artificial intelligence in the process of consumer data training. It also increased the size of the context window for the model to process information to handle more complex tasks and improve the consistent response. In terms of public welfare activities, it would launch a public welfare action plan such as "Smart Future" for youth artificial intelligence education, promoting the popularity and development of youth artificial intelligence education through educational assistance, organizing expert research, reporting topics, curriculum construction, etc. From the perspective of business layout, some brands followed the development trend of artificial intelligence education and launched related projects, such as the AI Smart Study Room project. " A Short History of the Future: Legends of the Intelligent Era " was equally exciting. Everyone was welcome to click and read it!
Intelligent future development trend
Future industry development trend
From a national perspective, China's medium-and long-term industrial development ideas were gradually becoming clear. It had been clearly laid out in the fields of cutting-edge science and technology and industrial transformation such as brain-like intelligence, quantum information, genetic technology, future network, deep-sea space development, hydrogen energy and energy storage. Various ministries and commissions actively promoted the development of future industries. For example, the National Development and reform commission strengthened the top-level design, the Ministry of Science and Technology and the Ministry of Education approved the construction of pilot projects, and the Ministry of Industry and Information Technology carried out the announcement of innovation tasks. The construction drawings and task books for the future industry were being formed. All regions were also actively rushing to the future industrial development, and many took the lead in formulating relevant development plans. About 20 provinces and cities across the country laid out future industrial development around cutting-edge technology and industrial transformation. For example, some of the future industries cultivated in Shen Zhen were already in the expansion or incubation period. By 2030, a number of achievements, enterprises, and talents would emerge in many future industries in Shanghai and form industrial clusters. Some provinces and cities had also proposed the added value or main business income targets of future industries within a specific period of time. The future industry is not only expected to cultivate large-scale new pillar industries and industrial clusters, but also promote the transformation of traditional advantageous industries to green, intelligent and low-carbon, playing a greater role in strengthening the industrial chain. At the same time, the traditional advantageous industries gradually moved from product export to production capacity and spatial re-layout. The continuous strengthening of the factor endowments of the emerging leading industries was also the industrial development trend, which would also have a certain impact and synergy on the future industrial development. " A Short History of the Future: Legends of the Intelligent Era " was equally exciting. Everyone was welcome to click and read it!
The application and development trend of AI technology
"The application and development trend of AI technology" In today's era of rapid technological development, artificial intelligence (AI) technology had become one of the most eye-catching fields. Its application range was wide and its development trend was rapid. The application of AI technology has penetrated into many aspects of our lives. In the field of smart home, it allows people to easily control the switch of home appliances, adjust the temperature and lighting, etc. through voice commands. The use of sensors also allows the device to automatically adjust the status according to the habits of family members, greatly improving the convenience of home life. Self-driving cars were a hot spot in the application of AI technology. By using devices such as laser radar, cameras, and sensors to monitor road conditions and the environment, autonomous driving could not only reduce the occurrence of traffic accidents, but also change future traffic patterns. In the medical field, AI also played an important role. It could assist doctors in disease diagnosis, develop treatment plans, and monitor the health of patients, effectively improving medical efficiency, reducing costs, and improving the patient's treatment experience. In terms of intelligent security, intelligent monitoring equipment combined with Face Recognition technology to achieve security monitoring and management of public places, and to detect and prevent security incidents in time through artificial intelligence algorithms. Looking into the future, the development trend of AI technology showed many significant characteristics. First of all, deep learning technology, as the core of AI, will continue to mature and become popular. This will provide more powerful support for the application of AI, enabling it to handle more complex tasks and achieve higher levels of cognition and decision-making. Secondly, AI technology will be integrated with other technologies, such as 5G technology to achieve more efficient data transmission and processing, pushing the development of intelligence to a new height. Moreover, the application of AI would pay more attention to personality. Through the analysis of user behavior and needs, it would provide more intelligent and customized services and experiences. In the direction of chip acceleration, the development of dedicated AI chips would further improve AI computing power and reduce energy consumption, thus making AI applications more popular and efficient. At the same time, in order to improve the credibility and reliability of AI, explainable AI models will become the focus of research so that humans can understand the decision-making process of AI. Human-computer collaboration would also continue to improve. By optimization of human-computer interaction interface and augmented reality technology, AI and humans could better cooperate to complete tasks. However, the development of AI technology would also have a profound impact on society. With the widespread use of AI, some occupations would disappear, but at the same time, new occupations would be created, which required the labor force to upgrade and transform their skills. In addition, with the in-depth application of AI technology, it was crucial to formulate reasonable regulations and ethical standards to regulate AI behavior. It was necessary to consider its impact on social fairness, ensure that technological progress benefited everyone, and avoid worsening social injustice. In short, the application of AI technology has penetrated into every corner of our lives, and its future development will be a multi-dimensional, cross-disciplinary comprehensive process. While bringing great potential and convenience, we also need to actively respond to the many challenges that come with it. "A Short History of the Future: Legends of the Intelligent Era" was equally exciting. Everyone was welcome to click and read it!
The development trend of artificial intelligence in the education industry
The development of artificial intelligence in the education industry showed many trends: 1. ** Course System Change **: - In the lower grades of primary school, they focused on using smart toys and games to let students perceive and experience artificial intelligence; in the upper grades of primary school and junior high school, they focused on understanding and application, and carried out basic programming knowledge learning; in the high school stage, they focused on project creation and cutting-edge applications, and promoted project design practice activities. 2. ** Teaching resources and environment development **: - ** Resource development and sharing **: develop universal teaching resources and set up artificial intelligence education programs on the national primary and secondary smart education platform to achieve the co-construction and sharing of high-quality resources. - ** Construction of environment and opening up **: Build a ubiquitous teaching environment, set up artificial intelligence education bases for primary and secondary schools in batches, promote the opening of venues related to universities, research institutes, and high-tech enterprises to primary and secondary schools, allocate balanced artificial intelligence laboratory resources for primary and secondary schools, and upgrade teaching facilities and equipment. 3. ** Promotion of teacher supply **: - The training of artificial intelligence education teachers will be included in the plan, and professionals will be encouraged to be introduced as part-time teachers. We will do a good job in urban and rural areas and improve the overall quality of education. 4. ** Change in learning mode **: - ** Personalized Learning **: Create a unique learning path and plan based on the students 'learning progress, interests, and hobbies. It provides customized content guidance to help improve learning effectiveness. - ** Intelligent Teaching **: The intelligent tutoring and evaluation system will be widely used. It will combine virtual reality and other technologies to create vivid teaching situations, improve teaching quality and students 'enthusiasm for participation. 5. ** Equalization of educational resources **: With the help of network and artificial intelligence technology, high-quality educational resources can be extended to remote areas, reducing the educational gap between urban and rural areas. 6. ** Human-computer collaboration model is gradually becoming a trend **: In the future, education will form a three-way interaction between teachers, machines, and students to jointly promote learning and growth. 7. ** Increase in product development and implementation **: The education industry is becoming a representative industry for the implementation of large model technology products. Many companies are actively developing and implementing related products. With the development of large model technology, customized learning and intelligent solutions will become an important trend in the education industry. 8. ** Expansion and specifications of application scenarios **: - For example, Beijing issued an application guide to clarify the application specifications. By 2025, the construction of artificial intelligence pilot application scenarios in the field of education will be completed, and the application of artificial intelligence scenarios will be widely carried out in primary and secondary schools. By 2027, the application pattern of large-scale, systematic and normal artificial intelligence in the field of education in the whole city will basically take shape, covering the construction of application scenarios in many aspects such as student learning and development, teaching method reform, and students 'physical and mental health. " A Short History of the Future: Legends of the Intelligent Era " was equally exciting. Everyone was welcome to click and read it!
Future development trend of wanda movies
The future development trend of the company was to steadily transform into a technology, platform, and ecological company. The company planned to continue to expand its market share in the cinema sector and continuously improve its content production capabilities. In addition, the company would focus on developing the derivative business and cooperate with companies with rich IP reserves to use the Mtime platform to promote the development of the derivative business. The company would also rely on its existing cinema resources to focus on promoting the derivative business to increase non-box office revenue. The company would also be able to produce content and develop a 3-5 year development plan to release some new works. In the future, the company would focus on the distribution side, including distribution and marketing and publicity. In addition, the company would also accelerate the development of the asset-light cinema business, improve the overall capital utilization efficiency, increase the company's revenue, improve operational stability and anti-risk ability, and achieve long-term sustainable and stable development through the asset-light model of brand management.