The hottest problem of AI for Microsoft China CTO

2022-10-16
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Chief technology officer of Microsoft China: the problem of artificial intelligence is the problem of thinking

the 15th global annual meeting of Tencent Financial News International Financial Forum (IFF) was held at Shangri La Hotel in Guangzhou from November 24 to 25, 2018. The theme of this annual meeting is "new globalization · road to the future". Tencent finance will broadcast this forum live to many people

at the dialogue on "technological innovation and global development", Wei Qing, chief technology officer of Microsoft (China), said that the problem of artificial intelligence now is not a problem of capital and technology, but a problem of thinking. We cannot solve problems with the same level of thinking when we create problems

the following is the transcript of the speech:

at the "technological innovation and global development" dialogue, Wei Qing, chief technology officer of Microsoft (China), said that today we will mainly talk about AI from a technical perspective. This round of technological revolution has brought great impact. Our 314 thermal insulation plastering system composed of mineral cementitious materials and EPS aggregates needs to consider whether we underestimated the impact of this technological revolution. The problem of artificial intelligence now is not a problem of capital and technology, but a problem of thinking. We can't solve problems with the same level of thinking when making problems. By 2015, the whole industry will reach 2trillion yuan. Industrial intelligence is completely data-driven. Many AI companies have powerful algorithms, but some are labor-intensive companies. We should continue to think every day and constantly innovate our way of thinking. We should think about what artificial intelligence is supported by, its "cause", and the algorithm and data of artificial intelligence. Every industrial revolution is accompanied by a breakthrough in science and technology. It is a revolution in productivity and the use of computer technology to make experimental force and displacement parameters measure production relations coherently. The result of every industrial revolution is the decline of efficiency and cost. In this era, we are all explorers of the times, and we need to constantly learn to adapt to this era

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