The current field of artificial intelligence is still in the climbing stage, and the industry unicorn is hard to find. Its most widely used applications are focused on Internet advertising and Fintech (financial technology), and health care is seen as the industry most likely to break out of artificial intelligence. On November 16th, Li Yanhong, Chairman and CEO of Baidu, appeared on his own. "With the enthusiasm of the mobile Internet, it is no longer possible to have unicorns again! The market has entered a relatively stable stage of development, and the Internet population penetration rate has exceeded 50%." Artificial intelligence application accelerates the advantages of domestic technology giants Since the beginning of this year, Baidu has continued to encounter multiple crises about “bidding rankingsâ€, but Baidu still claims to be an artificial intelligence company. Li Yanhong does not talk about search, O2O, internet finance, etc. as usual. He believes that the future of the Internet is artificial intelligence. "We can now use artificial intelligence to help doctors diagnose a wide variety of patients. Some diseases are very rare, or the probability of having one hundred thousandth of the same symptoms is a certain disease. Under the circumstances, human doctors are not necessarily more comprehensive than computers." In addition to Baidu, giants such as Alibaba and NetEase also have multiple layouts in the field of artificial intelligence. Even more unwilling to miss this slogan is the entrepreneurial company outside the giant. Wuzhen think tank and Netease Technology released the "Wuzhen Index: Global Artificial Intelligence Development Report (2016)", showing that the number of newly added artificial intelligence enterprises in the world has reached 806 in 2015, and an artificial intelligence enterprise is calculated every 10.9 hours. Born. However, the current field of artificial intelligence is still in the climbing stage, and the industry unicorn is hard to find. Its most widely used applications are focused on Internet advertising and Fintech (financial technology), and health care is seen as the industry most likely to break out of artificial intelligence. In March of this year, after AlphaGo defeated the world's top player Li Shizhen, people had to marvel at the power of artificial intelligence. However, conquering chess is just the beginning of artificial intelligence. For more than half a year, artificial intelligence is accelerating penetration into various industries. At the opening ceremony of the Hanover IT Expo in Germany in 2015, the chairman of Alibaba's Board of Directors Ma Yun demonstrated the SmiletoPay face-lifting payment technology. On the spot, he brushed his face and bought a set of stamps for the guests, which became the highlight of the opening ceremony and instantly in the network. Brush the screen. At the 3rd Internet Conference in 2016, viewers can also experience this cool biometric technology. The user only needs to reveal his face at the checkout counter. After the identification is successful, click OK to successfully pay. According to Chen Jidong, director of the ant Jinfu Biological and Safety Intelligence Department, the artificial intelligence biometric robot “Ai Ke†of Ant Financial Service has a face recognition accuracy rate of 99.6%, which is combined with multi-factor verification such as eye pattern. 99.99%, far more than 97% accuracy of the naked eye recognition. This shows that biometrics are more reliable than “seeing with your own eyesâ€. At present, biometric technology has been widely used, such as face control and pedestrian search in security. At this Internet conference, the organizing committee also adopted the method of “face recognition†for the registration of participating media and guests. However, in the payment field, security is considered, and face recognition technology has not been widely deployed. In the eyes of many technology industry insiders, the biggest opportunity for artificial intelligence is still in the field of health care. In October of this year, Baidu released its latest achievement in the medical field of artificial intelligence, "Baidu Medical Brain." It is a product that uses artificial medical data and professional literature collection and analysis to carry out artificial intelligence. It can simulate the doctor's consultation process, communicate with users in multiple rounds, and raise possible problems according to the user's symptoms. Final recommendations. At present, the landing of Baidu medical brain is still unknown, but it provides a path for exploration of the development of the industry. Ren Pingping, general manager of the marketing department of Keda Xunfei, believes that some simple and repeated labor future will inevitably be replaced by robots. "For example, in the field of social services, artificial intelligence technology and robots can completely replace the customer service manager of the bank's business hall. It can handle balance inquiry, card opening business, etc. In addition, in the field of travel, robots are also expected to become travel assistants." As the next vent, artificial intelligence, every company hopes to get its own ticket in this new field. "Wuzhen Index: Global Artificial Intelligence Development Report (2016)" shows that the number of artificial intelligence enterprises in the world is concentrated in a few countries such as the United States, China, and the United Kingdom. The number of enterprises in the three countries accounts for 65.73% of the total. Among them, the total number of artificial intelligence enterprises in the United States is 2,905, ranking first in the world. In California alone, the number of companies in the San Francisco/Bay Area and the Greater Los Angeles area reached 1,155, accounting for 19.13% of the world. From the perspective of artificial intelligence investment, the United States and Europe are more intensive and more numerous in the world, followed by China, India and Israel. The United States received a total of more than 3,450 investments, ranking first in the world. The UK received a total of 274 investments, ranking second, while China ranked third with 146 recorded total investments. In terms of the scale of artificial intelligence enterprise financing, China ranks second in the world, but the scale of the top three is large. It can be seen from the above analysis that the advantages of the United States in the field of artificial intelligence are still very obvious in the three dimensions of the number of artificial intelligence enterprises, the scale of financing, and the number of patent applications. In addition, the US investment in artificial intelligence has increased significantly both in terms of amount and frequency. It is worth noting that China's investment in artificial intelligence has significantly accelerated, but the transaction volume has not increased significantly. Zhang Xiaodong, the national thousand-person plan expert and chairman of Wuzhen think tank, said that this does not mean that the industry capital winter is coming, mainly because the previous valuation is too high and there is a bubble in the industry. In fact, the rationality of capital can bring the industry back on track to a certain extent. According to Yao Xing, vice president of Tencent, the current artificial intelligence industry has made some progress in vertical areas such as speech recognition and image recognition, and some good applications have been born. But overall, the development of artificial intelligence is still at a relatively early stage. Yao Xing does not believe that machines can replace human brains. "Human intelligence is innate, and it is at a very high starting point. People's knowledge of new things can only be mastered through a small sample of learning, but currently machine learning is based on a large number of samples." The resulting problem is that artificial intelligence startups do not have the sheer volume of big data and samples to make machine learning. From this perspective, giants such as Alibaba, Baidu, and Tencent already have innate advantages. How the industry "unicorn" emerges from the gap between the giants still needs time to prove. 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