Why is it always the human mind to interpret artificial intelligence? The core logic of robots is different from human thinking. We are perceptual thinking, and computers are logical thinking. People will think about the meaning of living, but computers won't. How to use artificial intelligence to make the best use of it is our most important task at present. Too many pseudo-concepts are now being promoted. The artificial intelligence industry bubble is getting bigger and bigger, how to guide the effective combination of technology and market, and accelerate the adjustment of artificial intelligence industry. In 2018, the artificial intelligence industry will usher in a major reshuffle. In 2018 or Yingda reshuffle, the industry recommends guiding technology and market effectively At the 4th World Internet Conference “Light of the Internet†held in Wuzhen, Zhejiang, people experienced artificial intelligence robots. Under the guidance of policies and the influx of capital, the domestic artificial intelligence field has ushered in unprecedented prosperity. The reporter visited relevant enterprises and experts in the industry and found that there are many artificial intelligence concepts in the market. In addition to technological breakthroughs, there are false prosperity under the pseudo-concept, which has promoted the emergence of the industry “bubbleâ€. Recently, some artificial intelligence enterprises at home and abroad have closed down one after another, and the industry has warned that after the big waves, in 2018, China's artificial intelligence enterprises will usher in a “closing tide†to accelerate the adjustment of the industry. The industry proposes to create a “de-foaming†pragmatic development environment and guide the effective combination of artificial intelligence technology and the market. Recently, the artificial intelligence industry, which is highly concerned by all parties, has expected the “large-scale bankruptcyâ€. According to the “2017 Sino-US Artificial Intelligence Venture Capital Status and Trend Research Report†released by Tencent Research Institute, according to preliminary estimates, the total number of closed enterprises in China and the United States has exceeded 50. The companies that have closed down recently include Yuheng Matrix and Smart Master House. According to the report, artificial intelligence has experienced a two-year peak of sustained growth in entrepreneurship, and in 2017, the industry began to enter the rest phase. Many market contradictions under the rapid development of the rapid development between 2013 and 2015 have already begun to emerge. As of June 2017, smart drones, restaurant robots, virtual assistants, smart hardware and other fields and industries have begun to show signs of decline. According to the research report, in 2017, many companies in the field of drones encountered some problems, and Yihang and Zero were successively severely cut. The top three global sales, Parrot also announced a one-third layoff. The robot waiter was a gimmick, and several of the early ones closed down. Founded by a number of former Apple employees, Pearl AutomaTIon has earned a total of $50 million in two rounds of investment, and has stopped operating because of the bleak sales of its products. In addition to the reports issued by research institutions, some heads of artificial intelligence companies also expect that the "downturn" will be ushered in 2018. Li Kaifu, chairman of the Innovation Workshop, publicly stated in April 2017 that there is a bubble in artificial intelligence entrepreneurship. In the future, there may be a batch of artificial intelligence companies that have closed down after spending money. “The AI ​​project (financing fever) started in the first half of 2017, and the financing was almost 18 months old. It is estimated that a group of companies will be dumped by the end of 2018.†Li Zhigang, founder and CEO of “New Economy 100 People†predicted that the next two or three years More than 95% of artificial intelligence startups will close down. Liu Wei, general manager and partner of Xinghe Internet Artificial Intelligence Division, also believes that under the dual role of IPO acceleration and high valuation, the first wave of AI companies will be closed in 2018. Yiyuan Pu, founder of Yiou Company, also wrote that in 2016 and 2017, artificial intelligence companies are still working on scientists and publishing the number of papers. By 2018, artificial intelligence companies lacking commercial application capabilities will become increasingly difficult to survive. The wave of bankruptcy will come. The industry believes that the "closing tide" is the only way for the entire industry to reshuffle and stabilize. Liu Qingfeng, chairman of Keda Xunfei, believes that there will be a large number of artificial intelligence startups going out of business in 2018, but the artificial intelligence industry will develop on a large scale. Just like the so-called Internet bubble of the year, in 2002, the Internet was a big bubble, but in 2014, the Internet was an industrial wave in human history. Artificial intelligence will quickly change the world and penetrate into more and more industries. However, it should also be noted that with the intensification of competition in the field of artificial intelligence, those venture companies that rely on concepts may indeed fail. Sun Lining, deputy director of the State Key Laboratory of Robotics and Systems, believes that the development of artificial intelligence requires time and process. At present, the whole industry is overheated and blind, and the occurrence of bubbles and bankruptcies is normal, in line with the laws of the technology industry. Like the robotics, nanotechnology, and recent biomedical frontiers in the early years, the market itself has the process of survival of the fittest and big waves. "With the collapse of small businesses, the future will surely reach a balance: large integration, large companies and stable development sectors. This is in line with the laws of cutting-edge technology development." Industry analysis, two reasons to accelerate the pace of adjustment of the artificial intelligence industry. First, entrepreneurial and investment overheating in the field of artificial intelligence has emerged as a "virtual fire" and "pseudo-innovation" and pseudo-concepts. According to market statistics of Tencent Research Institute, domestic intelligent robots and drones related technology entrepreneurs are the most popular, ranking first in the echelon; semantic analysis, speech recognition, chat robots and other natural language series technology ranks second echelon; third The echelon is a series of computer vision series technologies such as face recognition, video/monitoring, autopilot, and image recognition. As of June 30, 2017, the total number of artificial intelligence companies in the world reached 2,542, of which 1078 were in the United States, accounting for 42% of the total number of artificial intelligence companies in the world; China had 592, accounting for 23%, ranking second. The total financing amount of American AI company reached 97.8 billion yuan, accounting for 50.10% of the total global financing; China ranked second with 63.5 billion yuan, accounting for 33.18% of the total financing of AI companies worldwide. According to relevant sources of Tencent Research Institute, although the artificial intelligence industry has broad prospects, the incremental growth of entrepreneurial projects, the innovation gap has emerged, and the bubble is still expanding. “Since the first VC investment in the United States in 1999 to the AI ​​technology platform Enkia, in just 18 years, major investors competed for potential artificial intelligence companies, and the global artificial intelligence sector invested 202.6 billion yuan. There are few and many funds. At present, there are two core contradictions in the artificial intelligence industry: first, the demand for investment is large and the supply of entrepreneurial projects is reduced; second, the market expectation is high and the product experience is not good." Li Yi, chief researcher of the Internet Research Center of the Shanghai Academy of Social Sciences, believes that up to 90% of smart speakers and robots on the market are not artificial intelligence. “No matter face recognition or speech recognition, there are only a few companies at home and abroad that have huge amounts of data.†Reporters visiting the market can see that some speakers and robots equipped with simple preset programs dare to use "artificial intelligence"; some automation equipment also steals concepts and is packaged into artificial intelligence. Even companies that do underwear are also speculating that they are artificial intelligence. Experts believe that the hype similar to these "pseudo-innovation", the hotter the speculation, the greater the potential bubble, and the greater the damage to the development of artificial intelligence. Alibaba's former CEO Wei Zhewen said that there are a large number of "pseudo-artificial intelligence" in the artificial intelligence project, and the proportion may be as high as 90% or more. Lu Xiaoliang, deputy general manager of Xunfei Wisdom Medical Division, said that the current bubble is definitely there. At the moment, the hot AI, "Most of the company is in the money." Eliminating flicker and speculation, artificial intelligence requires lucid and objective judgment and solid efforts. Guan Lei, Marketing Director of Shenzhen Luobo Medical Technology Co., Ltd. believes that artificial intelligence is a comprehensive technical science. In the enthusiasm and economic cluster, artificial intelligence has become a hot concept of investment. The emergence of artificial intelligence bubbles and the collapse of the tide is due to the intersection of concepts, talents, products, and markets. These four are interlocking and indispensable. The artificial intelligence of “storytelling†will eventually be eliminated, and the artificial intelligence companies that focus on technology, research products, and market will be able to go on for a long time. Second, the technological development cannot keep up with the pace of industrialization, and the threshold is too high to land quickly. Industry analysis, with the release of the “New Generation Artificial Intelligence Development Planâ€, “Three-Year Action Plan for Promoting the Development of a New Generation of Artificial Intelligence Industry (2018-2020)â€, domestic artificial intelligence enterprises will continue to advance in the direction of industrialization. . In the process, the gear of the "survival of the fittest" will also accelerate. Technically, Sun Lining and other people in the industry believe that the technological development of artificial intelligence still needs a process, saying that "mature" is too early. Tencent Research Institute analyzes that the foundation of artificial intelligence development lies in algorithms, computing power and data, all of which are indispensable. China has a huge database, and it is not backward in application algorithms. In the field of computing power, there are very serious defects. The core of computing power is in the chip, and China's technical shortage in the chip field has also extended to the AI ​​chip. From the perspective of enterprises, the technical threshold of the AI ​​industry is very high and the investment time is very long. Many entrepreneurial R&D companies have no way to let the products fall in the short term, and the application prospects are slim. For example, there are many companies in the medical imaging industry, but there are very few products that can be used clinically. Some enterprise technologies are immature, products are unqualified, it is difficult to break through and achieve stable market share growth, lack of ability to compete with giants, high cost leads to higher prices than consumers, and insufficient funds can not support subsequent research and development, resulting in unsustainable. In addition, Sun Lining believes that while local governments attach great importance to artificial intelligence, they must also understand that only by possessing basic conditions such as talents and industrial chains can the artificial intelligence industry be developed. If you do not have the above conditions and blindly launch the artificial intelligence industry, you will face many risks. The industry affirms the development direction of “artificial intelligence†and proposes to create a more pragmatic development environment. ——Continuously encourage, create a defoaming development environment, and guide technology to just need to be combined. Liu Qingfeng said that Science predicted that artificial intelligence will replace 50% of the global employment rate in 2045, while in China it is 77%. In the next 28 years, every four jobs in China will be replaced by three. In the field of intelligence, China and the United States will enter the unmanned area simultaneously. Sun Lining believes that artificial intelligence is a direction, and it is recommended to continue to strengthen personnel training and support independent innovation. From the perspective of industry, it is suggested that the government cannot support it for support, but should strengthen the combination of artificial intelligence and industry. For example, in areas such as remote personalized education, medical care, etc., which are closely related to life, we must first identify the technical demand points, then drive the innovation of the entire chain, encourage artificial intelligence and the underlying manufacturing, equipment and products to improve performance as the main evaluation index. . ——The development of artificial intelligence still needs to solve the profit model. Lu Xiaoliang believes that although the country has introduced a large-scale strategy for developing artificial intelligence, Xunfei has the honor to be selected into one of the four national-level platforms, but the details of specific policies and industrial support have not yet been implemented. Taking the medical industry as an example, the clinical auxiliary diagnosis and treatment system is faced with the problem of not knowing where to charge. This also requires a series of related policies of the drug supervision, medical insurance, and price departments. —— Financial support should not be fully cast, and results-oriented assessment should be strengthened. Lu Xiaoliang believes that the artificial intelligence industry has just begun to develop, and there are many “minefieldsâ€. It is suggested that government policy support and capital investment cannot spread the pepper and emphasize the result orientation. Guan Lei also believes that for policy and funding, in the implementation of the assessment, it is recommended to take results as a guide, strengthen the effect feedback, and make the best use of it. Lcd Tonch Screen For Iphone X,Lcd Touch Screen For Iphonexr,Lcd Display For Iphonexr,Mobile Lcd For Iphone Xr Shenzhen Xiangying touch photoelectric co., ltd. , https://www.starstp.com