"At present, strong artificial intelligence is still far away, and weak artificial intelligence is the mainstream of application." On October 31, at the 2019 Beijing Zhiyuan Conference hosted by Beijing Zhiyuan Artificial Intelligence Research Institute, Vice Minister of Science and Technology Li Meng pointed out in his speech. There is a tendency for the artificial intelligence to be "generalized" and "deified" in the industry.

In fact, although artificial intelligence has become a high-tech word in recent years, it does not mean that it has come to maturity and harvest. Huang Tiejun, president of Zhiyuan Research Institute, pointed out that in the current boom of artificial intelligence development, it should be clear that the current artificial intelligence is still in its infancy, and should be oriented towards the future development of artificial intelligence, deep work, and lay a solid foundation.

The AI market is getting steady

Like other industries, the artificial intelligence industry has also experienced the stage of giants and capital swarming.

A year and a half ago, Zhang Hongjiang, chairman of Zhiyuan Research Institute, said in an interview with the media that "China's artificial intelligence industry has a solid foundation." Today, Zhang Hongjiang pointed out that the development of China's artificial intelligence industry pointed out that the industry has a deeper understanding of the capabilities and limitations of artificial intelligence, and the investment in artificial intelligence has become more calm.

The Essence Securities Research Report pointed out that with the continuous deepening of the awareness of artificial intelligence in the capital market, the investment in artificial intelligence in the investment market is becoming more mature and rational. Since 2018, although the amount of investment and financing in the artificial intelligence industry has continued to increase, the frequency of investment and financing has slowed down.

In addition to the capital market, academia is no exception. "Our academic circles, like other industries, are easy to rush to the top, and everyone is moving forward when a topic is very hot." In an interview with the 21st Century Business Herald, Zhang Hongjiang said, "But in the past two years, this The state has been greatly improved."

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

At the same time, more and more AI startups are beginning to enter the vertical field, making the use of smart technology more extensive and in-depth. "In the past three years, we have always emphasized that artificial intelligence is an enabling technology, and its core value is to help our industry improve its efficiency." Zhang Hongjiang said, "Artificial intelligence can make cars automatically drive, using computer vision technology faster, To more accurately identify faces, artificial intelligence has also made a series of advances in financial anti-fraud and credit reporting."

In addition, with the development of emerging technologies, artificial intelligence has also ushered in new opportunities. On October 24th, the Political Bureau of the CPC Central Committee conducted a collective study on blockchain technology, which led to a blockchain super-wind. The speculation about the development of "blockchain and artificial intelligence combined" is also hot.

However, Zhang Hongjiang told the 21st Century Business Herald reporter, “In my opinion, blockchain is more a combination of technology and application. In artificial intelligence, there are still many problems that need to be studied and broken.” Zhang Hongjiang said. .

Short board is still obvious

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

Gao Wen, an academician of the Chinese Academy of Engineering and a member of the Academic Committee of Zhiyuan Research Institute, pointed out that compared with developed countries, China still has a large gap between AI basic theory and original algorithms, high-level talent shortage, high-end chips, key components and high-precision sensors. The foundation is relatively weak, and there is no open source platform for artificial intelligence open source with international influence.

At the same time, although China has established an artificial intelligence open platform for specific application areas, its layout in general open source algorithm platforms such as machine learning is not enough, and thus the driving force and international influence of the industry chain are insufficient.

The 21st Century Business Herald reporter learned that there are also deep learning artificial intelligence open platforms such as Baidu Flying Paddle, but these companies have made breakthroughs and lack of aggregation in some vertical areas, and GitHub, a model of the international open source community. There is a very big gap.

On the shortcomings of talents, Gao Wen pointed out that as of the end of 2017, the high-level talents of artificial intelligence in China were less than one-fifth of those in the United States, and the leading talents of artificial intelligence enterprises mainly relied on returnees, and the high-level talents cultivated locally were seriously inadequate.

"The current domestic technical theory and application in the field of artificial intelligence is still far from the rest of the world. This gap is largely due to lack of stamina." Zhang Hongjiang said, "The Zhiyuan Research Institute hopes to gradually narrow this gap. Establish a highland, whether it is a chief scientist, a scholastic scholar or a young scientist, to bring together the best batch of artificial intelligence talents in China through these three echelons."