The hottest member Zhang Fengbao paid attention to

Committee member Zhang Fengbao: AI education should pay attention to docking with traditional industries

committee member Zhang Fengbao: AI education should pay attention to docking with traditional industries

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original title: Committee member Zhang Fengbao: AI education should pay attention to docking with traditional industries

local mineral prices are generally lower in China Education news Beijing, March 4 (Li Che, Dong Lu Wanlong) "Through the investigation of more than 20 colleges and universities in China, we found that many colleges and universities have more emphasis on Algorithms in the design of talent training programs related to AI majors, while the data and computing power are relatively weak; theory and scientific research are more than emphasized, while the application and practice are relatively insufficient." Zhang Fengbao, member of the CPPCC National Committee and vice president of Tianjin University, said that the training of AI professionals needs to pay equal attention to theory and engineering practice, and work simultaneously in the three directions of algorithm, data and computing power. At present, the training system of AI related talents in many domestic universities needs to be improved

Zhang Fengbao suggested that in addition to focusing on talent training in basic research, the field of artificial intelligence should also strengthen the training of data engineers. "Reasonable and efficient data processing is the key for AI algorithms to be applied to traditional industries and give full play to their advantages." Zhangfengbao said that data processing, on the one hand, requires relevant methods, tools and engineering experience, on the other hand, requires cross knowledge involving industries, and the content of this kind of talent training is not fully reflected in the current training programs of various colleges and universities

Zhang Fengbao said that various traditional disciplines can add courses on the basics of artificial intelligence knowledge, so that relevant professionals can understand the processing method, output results and types of required data of artificial intelligence when there is no oil flowing out of the oil delivery valve and return pipe. In the teaching work, we should pay attention to the connection with specific applications, and strengthen the ability of combining mature artificial intelligence technology with the specific business processes of traditional industries

it is easy to operate. In addition, Zhang Fengbao also suggested that efforts should be made to strengthen the investment in talent training and scientific research in the computing sector, as well as to cultivate a multi-level and diverse workforce that can work with AI