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AI+ chipAI+ educationTake intelligent driving as an example. In the process of intelligent driving, under the machine learning and deep learning, the AI algorithm has the driving strategy of the vehicle. AI algorithm can predict the trajectory of other vehicles by further processing and analyzing the perceived information. At the same time, according to the analysis of the current situation of the vehicle, the next step is completed by controlling braking, acceleration and steering.

This article does not constitute specific investment advice, investment is risky, and you need to be cautious when entering the market.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.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.

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