Artificial intelligence technology and application
Artificial Intelligence (AI) was a cross-discipline that integrated computer science, cybernetics, information theory, neurology, psychology, grammar, philosophy, and many other disciplines. It simulated human thoughts and behaviors through computers, and its core was machine learning algorithms. The key technology was to enable the computer system to simulate human intelligence through learning, reasoning, judgment, etc. The core was to help the computer understand and process human language, images, sounds, and other information through algorithms, and extract features and laws from them to carry out tasks such as classification, prediction, and judgment. Finally, the computer could learn, reason, make decisions, and execute like humans. Artificial intelligence included breakthroughs in computing power, data torrent, and algorithm innovation. Its technical system included machine learning, natural language processing, image processing, and human-computer interaction. Artificial intelligence technology had a wide range of applications, including but not limited to computer science, financial trade, medicine, diagnosis, heavy industry, transportation, remote communication, online and telephone services, law, scientific discovery, toys and games, music, and many other aspects. There were also applications in some specific fields, such as the application in the bid evaluation expert database, the application in the field of household economics (such as the development of intelligent household education training, the promotion of household digital training methods, etc.), the application of a large number of ANI technology in the aspect of space-time intelligence and interaction semantics, including the application of AGI technology such as LLM multi-mode data processing and graph rag, and even entertainment new games such as AI inspection. At the same time, there is a specialized specialization in artificial intelligence technology application in China. The length of study is three years. It aims to cultivate high-quality technical talents with the ability to develop artificial intelligence technology application, system management and maintenance, and engage in artificial intelligence-related application development, system integration and operation and maintenance, product sales and consulting, pre-sales and after-sales technical support, etc. The employment of graduates is for artificial intelligence trainers, artificial intelligence engineering technicians, artificial intelligence data services, Arithmetic model training and testing, artificial intelligence application development, artificial intelligence system integration and operation and maintenance, etc. "A Short History of the Future: Legends of the Intelligent Era" was equally exciting. Everyone was welcome to click and read it!
Artificial intelligence technology and application
Artificial intelligence techniques included problem solving, logical reasoning, and theorem proving. In terms of problem solving, he developed techniques such as the Deep Blue computer's victory over the chess master, including search and problem reduction techniques such as looking forward a few steps and breaking down difficult problems into sub-problems. This technique was also applied to chess programs and some programs that could deal with mathematical formulas. Some programs could also improve their performance through experience. Logical reasoning was a persistent sub-field of artificial intelligence research. The focus was on focusing on relevant facts in large database, paying attention to credible proof and correcting it in time. This was crucial in intelligent tasks such as proving or disproving mathematical theorem. From the perspective of application, the field of application was constantly expanding. In terms of engineering applications, there were books that introduced its basic principles, control methods, and applications. The interaction model currently in use, such as Chat GPM, was only a basic application. The ultimate direction was the general artificial intelligence, AGI, which could learn and perform various tasks independently like humans. In actual work life, it could be used as psychological consultation, covering marriage guidance, emotional regulation, and other content. In terms of occupation, the talents trained by the relevant majors could be engaged in artificial intelligence trainers, artificial intelligence engineering technicians, etc. The employment positions included artificial intelligence data services, algorithm model training and testing, etc. In terms of enterprise applications, Tesla said that it was also an artificial intelligence company, and its automatic driving direction was visual recognition + machine learning; SuperMap software launched a geographical space AI technology base, including AI three-dimensional data processing and analysis, AI remote sensing image processing and other functional modules. Furthermore, in various industries, if one could skillfully use AI tools, one could improve work 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 application technology
Artificial intelligence applications covered many fields, such as computer science, financial trade, medicine, diagnosis, heavy industry, transportation, remote communication, online and telephone services, law, scientific discovery, toys and games, music, and so on. In the field of subspace, SuperMap 2024, launched by SuperMap software, enabled subspace AI as the underlying supporting technology. It included some ready-to-use functions, as well as functions that could be used with customized training fine-tuning of AI process tools. It covered AI three-dimensional data processing and analysis, AI remote sensing image processing, AI remote sensing image interpretation, AI spatial analysis, AI image/video analysis and many other functional modules. From a professional point of view, graduates of the application of artificial intelligence technology were employed as artificial intelligence trainers, artificial intelligence engineers and technicians, etc. They could be engaged in artificial intelligence data services, algorithm model training and testing, artificial intelligence application development, artificial intelligence system integration and operation and maintenance, etc. In addition, companies such as Dingding were also actively exploring artificial intelligence application technology. For example, Dingding lowered the threshold of creating an intelligent entity by reforming the memory, perception, and action functions of the AI assistant. It added memory functions, perception triggering functions, multi-agent coordination capabilities, etc. to the intelligent entity, so that it could perform tasks in different scenarios, such as helping to write weekly reports, making appointments for meetings, and automatically executing tasks according to the scenario and time. Moreover, AI agents were also the embodiment of artificial intelligence application technology. It was an intelligent system that could perform tasks and make decisions on its own. Compared to big language models, AI agents could automatically split tasks, determine task priorities, call external tools to assist in processing tasks, and reflect and evaluate. Big language model tools such as Chat GPM required the user to continuously input prompt words to obtain results. In general, artificial intelligence application technology continued to develop and reflect its value in many aspects. "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 technology in the campus
The application of artificial intelligence technology on campus was reflected in many aspects: 1. ** Education Management **: Realization of intelligence in student information management, teaching resource allocation, campus security monitoring, and other work. 2. ** School sports **: It can improve the teaching effect, promote the student's personal development, improve the accuracy and fairness of the referee, and help the school better manage the health of the students. 3. ** Smart Campus Track **: - ** Real-time data monitoring **: The built-in sensor of the smart campus track can monitor running speed, heart rate, stride frequency and other running data in real time. The user can view it through the track display screen or mobile App to grasp their running status and effect. - ** Intelligent navigation function **: The track is equipped with an intelligent navigation function. The user can choose the running route and destination. The track will plan the route and guide the user through voice or arrow directions to prevent getting lost or running the wrong route. - ** Personalized training recommendations **: According to the user's running habits, health status, and target requirements, recommend a customized training plan such as slimming runs, muscle building runs, and endurance runs to help the user run in a scientific manner. - ** Social and Entertainment Function **: The smart campus track can be connected to social platforms, making it convenient for users to compete, communicate, and share their running experiences. It can also play music to enrich the user's sports experience. 4. ** Teaching **: - Help teachers change from traditional knowledge communicators to organizers, leaders, and participants, promote the reform of teaching content, teacher team, teaching methods, learning methods, assessment methods, etc., build an intelligent talent cultivation system, and use artificial intelligence to enable curriculum reform and top-notch innovative talent cultivation. Cultivate and improve students 'intelligent accomplishment, innovation ability, and lifelong learning ability in the intelligent era. - Teachers can systematically learn from AI+ teaching philosophy, AI+ integration practice, AI driven curriculum design, artificial intelligence general curriculum design and teaching resources construction, such as understanding the development process of artificial intelligence large model, AIGC application cases, the current situation and trend of AI enabling education and teaching, mastering the selection and operation of mainstream AI large model, integrating artificial intelligence technology into curriculum design, application in student evaluation and teaching management, exploring the construction method of AI general curriculum, etc. In order to improve their AI literacy and adapt to the educational needs of the AI era. 5. ** University Administration **: - The university uses a chatbot called Pounce to help with enrollment, financial aid, course registration, and campus resources. - The University of California, Berkley chatbot can satisfy current and future students 'administrative and financial inquiries regarding financial aid, registration, REC sports, accounting and payment. - Deakin University's Deakin Genie chatbot supports students 'inquiries on course selection, admission procedures, study plans, homework help, feedback, and other aspects of their academic journey. It also provides customized help. 6. ** Foreign language teaching and translation practice (some universities)**: For example, Tianjin Foreign Studies University cooperated with iFlytek to promote the application of artificial intelligence technology in foreign language teaching and translation practice. The school and enterprise cooperated to build a multi-language intelligent machine translation platform, creating an intelligent education system that integrated intelligent language education and intelligent language engineering. The talent training model of "artificial intelligence + foreign language" was innovative, and the "artificial intelligence +" translation model was jointly built. "A Short History of the Future: Legends of the Intelligent Era" was equally exciting. Everyone was welcome to click and read it!
Artificial intelligence technology application employment direction and prospects
Artificial intelligence technology had a wide range of employment applications and good prospects. The employment direction mainly included the following aspects: 1. ** Arithmetic Engineer **: Engage in cutting-edge algorithm research related to artificial intelligence, such as the application of machine learning, knowledge application, intelligent decision-making, and other technologies. For example, in the machine learning process, it covered steps such as data collection, sorting, algorithm design, training, verification, and application. The algorithm was the focus of machine learning development. 2. ** Program Development Engineer **: On the one hand, you have to implement the algorithm. On the other hand, you have to complete the project and integrate various functional modules. 3. ** Artificial intelligence operation and maintenance engineer **: responsible for the operation of big data and AI products, the development of operation and maintenance products, the development and construction of operation and maintenance tool systems for related components, and also providing customer support for big data and AI cloud products. 4. ** Intelligent Robot R & D Engineer **: The research and development direction mainly focuses on the development of robot control systems, high-precision device design and development, etc. The industrial robot system integration direction focuses on workstation design, electrical design, device selection, robot tuning, programming, maintenance, etc. 5. **AI hardware expert **: Industrial operations to create AI hardware (such as CPU chips) in the AI field. Looking at the future, with the development of artificial intelligence, the demand for talents in the industry was large and there was a shortage of talents. By 2020, the scale of China's artificial intelligence industry is expected to exceed 150 billion yuan, driving the scale of related industries to exceed 1 trillion yuan. Some IT giants were investing more and more in the development of artificial intelligence technology. The shortage of artificial intelligence talents in China had exceeded 5 million, and the ratio of supply to demand was 1:10. Moreover, the salary level in the field of artificial intelligence was relatively high. The average salary of graduates was 35% - 50% higher than that of people with the same degree in other industries. In 2018, the average annual salary in the field of artificial intelligence was about 330,000 yuan, steadily exceeding the average level of the Internet industry. The salary of an artificial intelligence major who had just graduated in 2024 was about 6800 yuan. The monthly salary of two years after graduation was about 9947 yuan, and the monthly salary of five years after graduation was about 12243 yuan. The salary increased with the increase of working years and experience. In addition, artificial intelligence would be more widely integrated into various industries such as finance, law, and medicine. Tailored AI models could process massive amounts of data and provide more customized and accurate analysis services. "A Short History of the Future: Legends of the Intelligent Era" was equally exciting. Everyone was welcome to click and read it!
The development and application of artificial intelligence
The ultimate goal of artificial intelligence was to explore the basic mechanism of the formation of intelligence and study the use of automata to simulate human thinking processes. The short-term goal was to study how to make computers do the work that usually required human intelligence. " 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 agriculture
Artificial intelligence had many applications in agriculture: 1. ** In terms of improving production efficiency ** - ** Intelligent Farm Machinery Operation **: The intelligent farm machinery can automatically adjust the operation mode according to the soil moisture, crop growth status, and other parameters. For example, in the fields of plowing, sowing, harvesting, etc., it could reduce labor costs and time consumption, greatly improving the level of agricultural production's automaton and intelligence. - Precise irrigation system: It can precisely control the amount of irrigation water, avoid water waste, and ensure that crops grow under optimal conditions, thereby improving overall production efficiency. 2. ** To solve the problem of agricultural standards ** - By collecting and analyzing a large amount of agricultural data, a standardized production model was established. These models could guide farmers to carry out planting, fertilizing, irrigation and other operations according to unified standards, ensure the consistent quality of agricultural products, and promote the development of agricultural production in the direction of standards. 3. ** In terms of solving the problem of agricultural product quality ** - ** Intelligent pest and disease monitoring system **: It can monitor the growing environment of crops in real time and detect pests and diseases in time so that they can be dealt with quickly to avoid the impact of pests and diseases on the quality of agricultural products. - ** Agricultural product quality inspection equipment **: It can detect the quality of agricultural products in real time to ensure the output of high-quality agricultural products. Moreover, artificial intelligence could accurately adjust planting strategies according to market demand and consumer preferences to produce agricultural products that better met market demand. 4. ** Helping farmers increase their income ** - To improve agricultural production efficiency, improve the quality of agricultural products, and directly increase farmers 'income. On the one hand, the improvement of production efficiency reduced production costs and increased the output per unit area. On the other hand, high-quality agricultural products were more competitive in the market and could obtain higher sales prices. At the same time, it also gave birth to new agricultural services and business models, providing more income-generating channels for farmers. 5. ** In crop and livestock management ** - ** Increase crop yield **: For example, through deep learning algorithms, analyze soil, weather, aerial/satellite images and other data related to agriculture to help farmers make decisions on planting time, irrigation, fertilizer, etc., increase the productivity of land, equipment, and people, and reduce yield losses. - ** Early Disease Detection **: It helps in early detection of crop or livestock diseases. For example, in animal husbandry, it could prevent diseases such as lameness in cows in advance and reduce the losses caused by animal diseases. - ** Reduce labor costs **: Reduce labor costs related to sorting during the post-harvest sorting process. For example, some robots could be used to sort agricultural products and replace human labor. - ** Increase product quality **: Increase the quality of agricultural products and protein in the market. 6. ** Robot applications ** - **Root AI harvesting robot **: It can operate in a complex growing environment, detect whether fruits and vegetables are ripe in real time, and pick them. It used visual algorithms to distinguish ripe fruits and accurately locate them. There was also a patent holder that could gently pick soft fruits. - **FarmWise robot **: Used to solve the problem of weeds in farmland. Through computer sensors and vision technology to perceive plant information, combined with learning algorithms, it could distinguish between crops and weeds. It could also adjust the precision of the blade according to the field conditions, suitable for a variety of crops. - ** TerraSenta Crop-monitoring Robot **: A combination of multiple sensors, wheels, and shock-absorbing chassis suitable for a variety of terrains. It could navigate through plants and analyze data and traits based on machine vision, such as recording corn plant height, ear height, stem width, and leaf status, to provide suggestions for planting. - [Vegebot harvesting robot: suitable for harvesting easily damaged crops such as cabbage and lettuce.] There was a vision and cutting system. The vision system recognized the ripeness and disease of the vegetables. The camera of the cutting system ensured smooth cutting. The gripping force of the robotic arm could be adjusted according to different crops. - **Blue River Fully Automatic Agriculture Equipment **: It has computer vision technology that recognizes weeds and selectively kills unwanted plants. It is more effective than traditional weeding methods. It improves production efficiency while reducing the use of chemicals, optimises conventional processes, and reduces the impact on the environment. "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 on campus
The application of artificial intelligence on campus was reflected in many aspects: 1. ** Education Management **: Realization of intelligence in student information management, teaching resource allocation, campus security monitoring, and other work. 2. ** Identification of high-risk students **: High schools can introduce artificial intelligence data analysis driven systems to comprehensively consider students 'academic achievements, attendance trajectories, and behavior data, accurately predict the difficulties that students may face, and automatically generate targeted intervention plans. This changes the traditional process of manually identifying problematic students by teachers and instructors. 3. ** Personalized education **: The primary school district can use artificial intelligence tools to customize learning plans and educational resources for students according to their individual learning trajectories and styles (the "Student Portrait" system). This will reduce the burden of teachers preparing lessons and differentiated teaching, making education more accurate and efficient. 4. ** Administrative management **: Secondary schools can introduce artificial intelligence systems to take over administrative tasks such as schedules, budget management, and home-school communication. This will free up the time and energy of the school leadership, allowing them to focus more on core matters such as teaching guidance, strategic planning, and community interaction. 5. ** Teacher evaluation **: You can also carry out intelligent transformation (the reference materials did not describe the specific method in detail. It can be speculated that it is to use artificial intelligence to achieve a more objective and comprehensive evaluation of teachers 'teaching effects, etc.). 6. ** In terms of improving teachers 'quality **: Teachers can learn AI + teaching philosophy (Including the development of artificial intelligence models, AIGC application cases, and the current situation and trends of AI enabling education and teaching), AI + integration practice (Selection and operation of mainstream AI models, integration of artificial intelligence technology into curriculum design, application in student assessment, teaching management, and curriculum design, etc.), curriculum design driven by AI (Exploring the construction method of AI general course, teaching design case analysis, and AI teaching assistant, student aid, and management practice, etc.), artificial intelligence general course setting and teaching resource construction (paying attention to the construction of artificial intelligence teaching resources, AI evaluation of teaching quality, and the development of AI enabling teachers, etc.) to improve their own AI literacy to better adapt to the educational needs of the AI era. 7. ** Sports facilities **: The smart campus track on campus can be used as a new sports tool combined with artificial intelligence technology. It can monitor the user's running data (such as speed, heart rate, step frequency, etc.) in real time, provide intelligent navigation functions, recommend customized training plans, and connect to social platforms to play music. It can provide a more intelligent and convenient running experience for running enthusiasts. 8. ** In terms of curriculum design **: Many universities across the country offered general courses on artificial intelligence for undergraduate students. For example, Beijing announced that the general courses on artificial intelligence for municipal public undergraduate universities would be fully covered. Tianjin opened the first batch of general courses on artificial intelligence for all universities in the city. This was also the application of artificial intelligence in campus education content. "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 education
Artificial intelligence had the following applications in the education industry: 1. ** Personalized learning **: With the data analysis ability of artificial intelligence, each student's learning progress, knowledge mastery status, learning habits, and other factors are analyzed in depth, and then a customized learning plan is customized for them. For example, the intelligent learning system could accurately push the learning content and practice questions that matched the students 'current level according to their performance and learning time, improving their learning efficiency. 2. ** Smart Tutoring Answer **: develop a smart tutoring tool that can answer students 'questions in real time. Using natural language processing technology to understand students 'intentions, giving precise and detailed answers and guidance, providing timely assistance in the process of independent learning, and cultivating their independent learning ability. 3. ** Virtual Reality and Augmented Reality Teaching **: Using Virtual Reality (VR) and Augmented Reality (AR) technology to build an immersive teaching environment. For example, in the teaching of history, geography, and other subjects, students could experience the scenes or geographical environment of historical events through VR equipment to increase the fun and intuition of learning, and improve students 'enthusiasm and participation in learning. 4. ** Education Resource recommendations **: Through artificial intelligence algorithms, according to students 'learning needs, interests, hobbies, and learning stages, recommend high-quality education resources, such as books, videos, online courses, etc., so that students can obtain suitable learning materials and broaden their learning horizons. 5. ** Intelligent homework correction feedback **: Using artificial intelligence technology to realize automatic homework correction, not only can it quickly and accurately determine whether the answer is right or wrong, but it can also give detailed feedback and suggestions based on the student's answer, helping the student to find problems in time and improve their learning methods. 6. ** Teacher's teaching assistance **: provides teaching assistance tools for teachers, such as intelligent lesson preparation system, classroom teaching analysis system, etc. The intelligent lesson preparation system could generate teaching plans and teaching resource suggestions according to the teaching outline and the characteristics of students. The classroom teaching analysis system could provide teachers with teaching effect evaluation and improvement suggestions by analyzing classroom teaching data to improve teaching quality. 7. ** Cultivate innovative practical ability **: Use artificial intelligence-related practical projects and competitions to stimulate students 'innovative thinking and practical ability. For example, organizing students to participate in artificial intelligence programming competitions, robot design competitions, etc., so that students could learn and apply artificial intelligence knowledge in practice, cultivate the ability to solve practical problems and team spirit. 8. ** Education management optimization **: In education management, artificial intelligence technology is applied to realize intelligent operations such as student information management, teaching resource allocation, and campus security monitoring. Through data analysis and prediction, we can rationally arrange teaching resources and improve the efficiency of school management and the scientific nature of decision-making. 9. ** Promotion of educational fairness **: Use artificial intelligence technology to spread high-quality educational resources to areas with scarce educational resources, providing students in remote areas with the same quality of educational opportunities as students in developed areas. For example, through online education platforms and intelligent learning systems, more students could enjoy high-quality courses and teaching services. 10. ** Education ethics and safety education **: Incorporate artificial intelligence ethics and safety education into education, let students recognize the potential impact and risks of artificial intelligence technology, cultivate their correct values and ethics, guide students to abide by laws, regulations, and ethics when using artificial intelligence technology, and ensure the reasonable application of technology. In addition, in the first application guide for artificial intelligence in the field of education issued Beijing City, six major applications of AI in education were identified, including student assistance, teaching assistant, evaluation assistant, education assistant, research assistant, and management assistant. "A Short History of the Future: Legends of the Intelligent Era" was equally exciting. Everyone was welcome to click and read it!
Development and application of artificial intelligence
Since the concept of artificial intelligence (AI) was first proposed in the middle of the 20th century, its development process had experienced many fluctuations and changes. Its early development focused on basic research and theoretical exploration. The term "artificial intelligence" was officially used at the Dartmouth conference in 1956, marking that AI became an independent research field. At that time, it mainly focused on problem solving and symbol processing. The core was to let machines simulate human decision-making processes. In the 21st century, with the significant changes in computing power and data volume, machine learning became a key driving factor for the development of AI. Machine learning used algorithms and statistical models to identify data patterns and make decisions without explicit programming. As a branch, deep learning simulated the neural network structure of the human brain and made breakthroughs in the fields of image recognition, speech recognition, and natural language processing. AI was widely used. In the medical field, it could help doctors diagnose diseases and improve the accuracy and efficiency of diagnosis. In the financial industry, it was used for risk management, fraud detection, and algorithm trading. In the auto industry, autonomous driving technology was changing the way people traveled. It also showed great potential in education, retail, manufacturing, and other fields. The main types of AI at the current stage include machine learning, deep learning, natural language processing, computer vision, and so on. In life, AI was combined with finance, manufacturing, education, transportation, health, retail, and service industries to bring more convenience to people's lives. For example, smart medicine could create an information platform through relevant technologies to achieve multi-party interaction; smart finance could predict market trends, calculate, classify, design, and so on. With the rapid development of AI technology, it also faced ethical and legal challenges. Data privacy, algorithm bias, and the impact of automaton on employment were currently issues of concern. At the same time, the future development of AI was full of infinite possibilities. From dedicated intelligence to general intelligence, the application of intelligent entities was seen as one of the future development directions. As technology developed and applications deepened, it was expected to play a revolutionary role in more fields. International cooperation and policy formulation would also play an important role in its healthy 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 of artificial intelligence in education
Artificial intelligence has many applications in the field of education: 1. ** Student learning and development ** - To promote the application of AI study partners and AI guidance, and to provide customized learning suggestions and feedback for students to prepare independently before class, learn efficiently during class, and review after class. - According to students 'interests and hobbies, it provides customized learning paths, appropriate digital resources, and inquiry learning guidance to enhance the learning experience. - Build customized learning paths with AI self-adapting learning platforms such as Wolfram Alpha. You can also turn written content into video lessons using tools such as Synthesis, integrate them into simple course creation tools, add interaction elements, and create a customized video learning experience. - Through smart tutors and chatbots (such as Tutor.ai and Syntea), they provide customized tutoring services in the form of AI avatars, gradually guiding students to solve problems and answer difficult questions in real time, reducing the waiting time for feedback, and supporting students to ask questions in the browser to obtain answers on the Internet. 2. ** In terms of teaching methods ** - It can be used in all scenarios such as teacher preparation, classroom teaching, teaching and learning situation analysis, homework management, and Q & A guidance. - Exploring AI scenario teaching, creating an immersive learning experience, creating simulation experiment space and practice environment to support teachers 'experimental practice teaching. 3. ** Physical and mental health of students ** - We will implement the AI health monitoring volunteer program, collect data on students 'diet, nutrition, sleep, exercise, activities, physical examination, etc., establish healthy growth files, and monitor early warnings. 4. ** Home, school, and community education ** - Through intelligent push + manual assistance, a new type of "parent school" was built, integrating resources such as family and country feelings education, parent-child communication education, learning growth education, crisis response education, etc., supporting education policies, education methods, theories, and successful cases to carry out large model professional corpus-based training, providing precise learning and education services for parents. 5. ** Education governance model innovation ** - To promote the construction of smart campus, carry out the comprehensive management of school basic data, business data, and teaching data, design analysis models and evaluation index systems to build a "campus brain" to support academic administration management, teacher evaluation, teaching evaluation, logistics services, campus security, etc. 6. ** Building an evaluation system ** - Guide schools to use artificial intelligence to build a diverse evaluation system for teachers and students. 7. ** Helping education and research ** - Build a new intelligent teaching and research ecosystem to promote the development of educational research. 8. ** School management ** - Realizing multi-mode, panoramic, dynamic campus intelligent management. "A Short History of the Future: Legends of the Intelligent Era" was equally exciting. Everyone was welcome to click and read it!