Recently, the mainland artificial intelligence company Shang Tang Technology discussed the contribution and impact of future AI technology to major industries at the 12th Annual China Investment Conference, and stated that in the future the company is very likely to focus on the development of AI chips. The headline reported that Zhang Wen, vice chairman and president of Shangtang Technology, recently stated that in recent years, AI has made more breakthroughs in the field of security protection. In the future, it will contribute to security protection, transportation, medical care, administration, agriculture, education, and other industrial technology upgrades. The next wave of AI applications will have major breakthroughs in the medical, education, and financial industries. These industries will have rapid progress and at least one unicorn will appear in various fields. It is reported that the scale of financing of Shangtang Technology has exceeded Millet, C round of financing reached 600 million US dollars. From the perspective of core technology, the number of patents on the mainland is similar to that of the United States, and the mainland’s annual patent fee is only about 1% of the United States. Shang Tang’s original technology patent fee is more on the mainland. 10% of the overall patent fee, including licensed technologies such as autopilot and mobile phone products. Zhang Wen also pointed out that AI technology will accelerate the development of many industries. It is like driving a car; he believes that self-driving cars will be commercially available in the next 10 years, such as a simple cargo transporter. The industrial revolution and the historical development of AI technology will open up discussions on the future of AI. Zhang Wen pointed out at the meeting that AI depth computing It has been proposed for the first time since the 1950s, but its application in the industry has been a matter of recent years. It has brought about tremendous changes in the security industry and has been widely used in face recognition technology. Since Facebook 2014 For the first time, face recognition technology was applied, and it successfully defeated 94.5% of the human eye recognition rate with a recognition rate of 97.3%. At present, Shangtang Technology's machine identification has an identification rate of 97.82%, and is further recognized in speech recognition and automatic driving. The technology brings breakthroughs in application. In addition, Zhang Wen cited Accenture data. By 2035, AI will bring economic benefits of 14 trillion US dollars to 12 economies and 40% of the productivity of the global industry. Successful application of AI will result. The average profit of the industry players will increase by at least 38%. Zhang Wen also said that the future AI will also have a great impact on national security. AI will contribute RMB 1 trillion in GDP to the mainland's manufacturing core industries by 2030, and even more. Many. Shang Tang Technology was established in 2014. Founder Tang Xiaoou graduated from the Chinese Academy of Sciences and holds a Ph.D. from the Massachusetts Institute of Technology (MIT). Shang Tang Technology currently has 1,500 employees, 800 R&D personnel and 150 AI doctors. It is also the only company in Asia that independently researches and develops deep learning platforms. At present, there are more than 400 companies in Shangtang Technology Co., Ltd. The main field is financial technology and smart city construction. The company cooperates with big cities such as Shenzhen to carry out safety and urban development. In the Internet of Things (IoT) program, Shangtang also has a market share of up to 60% in the face unlocking market in mainland China. It is also Qualcomm’s only AI partner. In the area of self-drive, Shangtang Technology also works with Honda. (Honda) cooperation. Zhang Wen added that AI's future development will be driven by both demand and hardware. Requirements including security protection will drive AI applications to the ground, while hardware will include equipment required by AI industries such as computing and chips. In the future, it may be possible to develop AI chips to focus on the core of AI technology development.