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AI has many applications in the transportation field, including road monitoring, traffic signal optimization, intelligent driving, intelligent parking, intelligent traffic management and traffic safety monitoring.AI+ dianshangAI refers to the use of AI technology to enhance and improve the efficiency and quality of education. AI education includes personalized learning content push, intelligent teaching, auxiliary evaluation, special education, educational resource management, virtual reality (VR) and augmented reality (AR), evaluation and feedback automation, and intelligent tutoring system. The application of AI technology is gradually conceiving the traditional teaching mode, which brings more opportunities and challenges to schools and teachers. In fact, many universities have designed many achievements in AI+ higher education. For example, Beijing University of Posts and Telecommunications's big model-enabled intelligent programming teaching application platform "code", Beijing Normal University's innovative "AI+" classroom teaching intelligent evaluation, and Huazhong University of Science and Technology's intelligent academic early warning and collaborative assistance mechanism.

AI+ educationIn the future, we hope to see the integration of reality and reality and a new teaching paradigm of "teacher, student and machine" interaction.From AI-generated pictures to AI-generated videos, AI technology is deeply digging into the "experimental field" of the film and television industry, and has made remarkable progress. In terms of film and television applications, AI can help film special effects production, lens and script design, advertising creative design, game animation production, news reports, automatic generation of short videos and so on.

AI+ chipCompared with traditional chips, AI chips have more efficient parallel computing capability, powerful floating-point computing capability, power consumption and energy saving performance, and low latency. The existence of AI chip can meet the requirements of large-scale data processing and complex model training. AI chips also have a downstream industrial chain. A large number of enterprises apply AI chips to smart phones and smart devices, self-driving cars, data centers and cloud computing, edge computing and the Internet of Things. With the expansion of application scenarios, AI chips will also play an increasingly important role in the future wave of technology.Compared with traditional chips, AI chips have more efficient parallel computing capability, powerful floating-point computing capability, power consumption and energy saving performance, and low latency. The existence of AI chip can meet the requirements of large-scale data processing and complex model training. AI chips also have a downstream industrial chain. A large number of enterprises apply AI chips to smart phones and smart devices, self-driving cars, data centers and cloud computing, edge computing and the Internet of Things. With the expansion of application scenarios, AI chips will also play an increasingly important role in the future wave of technology.