Artificial intelligence: the application threshold is lowered, and the technical dividends are realized

The next 5 to 10 years will be a very large dividend realization period for artificial intelligence. At this stage, various industries will make full use of the technological dividends of the past 65 years and compete for the implementation of artificial intelligence, thereby promoting the development of various industries. ——Yuan Hui, founder and chairman of Shanghai Zhizhen Intelligent Network Technology Co., Ltd.

During the COVID-19 epidemic, artificial intelligence applications have advanced by leaps and bounds, and all sectors of society have high hopes for artificial intelligence technology and expect artificial intelligence to become one of the core driving forces of the digital economy after the epidemic. In the “14th Five-Year Plan” released in March and the outline of the long-term goals for 2035, my country listed “new generation artificial intelligence” as one of the seven major fields of scientific and technological frontier research, and artificial intelligence has risen to a national strategy.

On April 19, the Boao Forum for Asia Annual Conference 2021 paid special attention to “Artificial Intelligence in the Post-epidemic Era”. A number of experts were invited to discuss the industrial application of artificial intelligence and the opportunities and challenges faced by participating in social governance both online and offline.

Artificial intelligence technology is in urgent need of breakthrough

Whitfield Diffie, winner of the 2015 Turing Award and a famous American cryptography and security technology expert, has made great achievements in the field of Internet security and is known as the “father of public key encryption technology”. He said that artificial intelligence must have more computing power to achieve the vision of artificial intelligence development we want to see. At present, human predictions of artificial intelligence computing power are too conservative.

Yuan Hui, founder and chairman of Shanghai Zhizhen Intelligent Network Technology Co., Ltd., said: “From a technical point of view, artificial intelligence faces the problem of ‘stuck in the neck’. The ‘neck’ at the core of technological development.” He believes that the current artificial intelligence technology system and technical framework have not broken away from or broken through the technological accumulation of the past 60 years. “Artificial intelligence technology should achieve greater breakthroughs in the future, which is a common challenge faced by scientists all over the world.”

Open source improves application efficiency

Wang Haifeng, chief technology officer of Baidu Group, said that in the future, there will be more and more integrated innovations in the artificial intelligence industry.

He said that with the development of artificial intelligence technology today, from the perspective of scientific research, the problems it faces are becoming more and more complex, but the application threshold will become lower and lower, and more people can pass a good platform or Model without caring about the core algorithm. Libraries can solve application problems.

Wang Haifeng mentioned when introducing Baidu’s first open-source, fully functional industrial-level deep learning platform Feipao, and mentioned that Feipao currently has more than 2.6 million developers, and these developers do not need everyone from the first line The algorithm code of artificial intelligence begins to be written, but the framework is called directly. On similar platforms, the threshold for artificial intelligence application has been greatly reduced. At the same time, this also promotes the faster application and promotion of artificial intelligence and the faster promotion of industrial intelligence.

In recent years, the deep learning open source platform is becoming an important choice for the rapid deployment of artificial intelligence in all walks of life in China. The latest data shows that Google, Baidu, and Facebook are firmly in the top three in terms of the comprehensive market share of deep learning platforms in China, accounting for more than 70% of the market share. Among them, Baidu’s share increased by 3.38%, and its growth rate ranked first, and its comprehensive market share ranked second, almost the same as Google, which ranked first.

Promotion and landing to promote the development of various industries

In terms of industry applications, Yuan Hui said: “The next 5 to 10 years will be a period of very large dividends for artificial intelligence.” At this stage, various industries will make full use of the technological dividends of the past 65 years and compete for the implementation of artificial intelligence. , so as to promote the development of various industries, including medical care, education, etc.

“During the new crown pneumonia epidemic, when people cannot communicate face-to-face, artificial intelligence applications solve people’s rigid needs in production and life.” According to Du Lan, senior vice president of iFLYTEK, as a leading artificial intelligence manufacturer, it has harvested during the epidemic. iFLYTEK, which benefits from artificial intelligence, has attracted much attention. During the domestic epidemic, when the second wave of imported cases increased, airport, customs and community staff were often seen using iFLYTEK translators to communicate with foreign guests. . The iFLYTEK phone robot also participated in the investigation of 9 million people in Wuhan, and was also used for epidemic prevention and control in South Korea.

“The technology and application of artificial intelligence has greatly improved the value of data.” Duran particularly emphasized the data security issue of artificial intelligence. She said that the current personal information protection law and data security law have slowly transitioned from the stage of discussion to the stage of being formulated and promulgated, which will bring very good prospects for industrial development.

“At present, artificial intelligence is mainly exposed to biometric-related data. These data should be managed in layers in advance, and should be regulated by institutions with secret-related qualifications, and then shared after desensitization.” Duran said.

(Source: Wang Zhuhua, Science and Technology Daily)

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