“The four industries with the greatest impact on artificial intelligence (AI) in the future are manufacturing, education, finance, and medical care.†On the 24th, Li Deyi, Chairman of the China Artificial Intelligence Society and academician of the Chinese Academy of Engineering made a judgment on the future changes in artificial intelligence in traditional industries. .
Li Deyi said that intelligence is an important criterion for judging whether a manufacturing industry is developed or not. There is still a gap between the current level of application of industrial robots in China and the international comparison. In 2015, the number of industrial robots owned by 10,000 industrial workers in China was only 49, and the global average was 69.
In addition, Li Deyi believes that the subversion of educational concepts and educational models by artificial intelligence is also worthy of attention. “The training methods of rote learning and a large number of questions will surely be eliminated in the smart age.†Li Deyi said that in the smart age, education should be the ability to cultivate students' knowledge, decision-making ability and innovation ability.
Li Deyi believes that with the iteration and acceleration of service robot technology, analysts and other work in the financial industry will be replaced by robots, and many businesses will be automated, and those who are truly involved in operations will be few.
The intelligent transformation of the medical industry has actually begun to emerge in Anhui Provincial Hospital. Wisdom diagnosis and auxiliary diagnosis system reads medical images in one second, and the provincial auxiliary diagnosis and treatment center helps diagnose reports issued by county-level hospitals......Technology Providers Liu Qingfeng, President of HKUST, said that the machine is accurate in medical imaging diagnosis of lung diseases. The rate is over 94%, and this rate will increase as the machine learns.
Li Deyi believes that artificial intelligence is leading unprecedented changes in traditional industries, and there is a huge gap in the demand for intelligent academic talents.
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