Farewell To "Deification": Artificial Intelligence In China Is Making Up For Stillness.

AI, once highly sought after, is now entering the cooling off phase.

"At present, AI is still far away, and weak AI is the mainstream of application." In October 31st, Li Meng, Vice Minister of science and technology, pointed out in his speech at the 2019 Beijing Zhiyuan conference sponsored by Beijing Zhiyuan artificial intelligence research institute that the industry has the tendency of "generalization" and "deification" for AI.

In fact, AI has become a technology high frequency term in recent years, but this does not mean that it has come to maturity and harvest. Huang Tiejun, President of Zhiyuan Research Institute, pointed out that in the current upsurge of artificial intelligence development, we should soberly realize that AI is still in its infancy, and should face the future development of AI, deepen its efforts to lay a solid foundation.

The AI market is becoming steady.

Like other industries, the AI industry has gone through the stage of the rush of giants and capital.

A year and a half ago, Zhang Hongjiang, director of the Institute of intellectual resources, said in an interview that "the Chinese AI industry has a solid foundation". Today, when Zhang Hongjiang mentioned the development of China's artificial intelligence industry, he pointed out that the industry has a deeper understanding of AI's capabilities and limitations, and its investment in AI is also more calm.

Anxin securities research report pointed out that with the deepening of the capital market's cognition of artificial intelligence, investment market's investment in artificial intelligence is becoming more mature and rational. Since 2018, although the investment and financing amount of the AI industry has been increasing, the frequency of investment and financing has slowed down.

In addition to the capital market, academia is no exception. "Our academia is just like other industries. It's easy to rush forward. When a topic is very hot, we all rush forward." In an interview with media reports such as the twenty-first Century economic report, Zhang Hongjiang said, "but in the past two years, this situation has been greatly improved."

In Zhang Hongjiang's view, the achievements and participation of Chinese AI scholars in the past two years have become more significant, and they have begun to consider more core issues. There will be more in-depth research on the limitations of deep learning, and some new machine learning algorithms will be explored.

At the same time, more and more AI start-ups begin to really enter the vertical field, making the application of AI technology more extensive and in-depth. "Over the past three years, we have always stressed that artificial intelligence is a technology of empowerment, and its core value is to help our industry improve its effectiveness." Zhang Hongjiang said, "artificial intelligence allows cars to drive automatically, using computer vision technology to identify faces faster and more accurately. AI has also made a series of progress in financial fraud prevention and credit reporting."

In addition, with the development of new technologies, AI has also ushered in a new opportunity. In October 24th, the Politburo of the CPC Central Committee collectively learned the technology of block chain, and then led to the super outlet of block chain. The conjecture of "combined development of block chains and artificial intelligence" is also hot.

However, Zhang Hongjiang told the twenty-first Century economic news reporter, "in my view, the block chain is more a combination of technology and application. There are still many problems to be studied and solved in AI. Zhang Hongjiang said so.

Short board is still obvious.

Although China's artificial intelligence industry has made many progress in the past two years, it is undeniable that China still has many shortcomings in artificial intelligence.

Govan, a member of the Chinese Academy of engineering and member of the academic committee of Zhiyuan Research Institute, pointed out that compared with the developed countries, China still has a large gap in the AI basic theory and original algorithm. The high-level talents are not enough, and the foundations of high-end chips, key components and high-precision sensors are relatively weak.

At the same time, despite the establishment of an open platform for artificial intelligence in specific application areas, the layout of the universal open source algorithm platform such as machine learning is not enough. Therefore, the driving force and international influence of the industrial chain are insufficient.

In twenty-first Century, the business reporter reported that at present, there are also open learning platforms for deep learning such as Baidu PaddlePaddle, but these enterprises have made breakthroughs and lack of aggregation in some vertical fields. There is still a big gap compared with GitHub, an example of the international open source community.

On the short board of talent, Govan pointed out that as of the end of 2017, China's AI talents were not as high as 1/5 of that of the United States, and the leading talents of AI enterprises were mainly dependent on returnees.

"At present, the technology theory and application in the field of AI in China are still different from other countries in the world. This gap is largely due to the lack of stamina." According to Zhang Hongjiang analysis, "the Institute of intellectual resources hopes to gradually narrow the gap and build up a high ground, whether it is the chief scientist, the source of intelligence, or the young scientist. Through these three echelons, we will gather the best number of AI talents in China."