Artificial intelligence and more bubbles can not talk about the game human wisdom

Artificial Intelligence (abbreviated as AI) has become the most critical technology in the 21st century. Especially in 2016, it has gone deeper into the business and people’s lives than ever before. Maybe it was the detonation of AlphaGo's victory over Li Shishi. Perhaps it was driven by the first-year capital frenzy. It seemed that overnight, artificial intelligence became the focus of the next wave of technological competition.

How hot the artificial intelligence is, we can look at some data first: According to the statistics of CBInsights, there were only 70 artificial intelligence startups in 2011 and more than 400 in 2015, an increase of nearly six times; the first quarter 2016 wind investment gold display , More than 200 artificial intelligence-related startups have raised more than US$1.5 billion to reach a new high; iResearch predicts that by 2020, the global artificial intelligence market will reach 119 billion renminbi, a compound annual growth rate of approximately 19.70%, and China’s artificial intelligence over the same period The market size will reach 9.1 billion yuan, and the annual compound growth rate will exceed 50%. Whether it is from entrepreneurship, investment, or the size of the market, the heat in this area is constantly rising.

But at the same time, as we have seen, there are always great and beautiful bubbles in industries or technologies that are on the air. This is true for O2O, P2P, and VR. Of course, artificial intelligence is no exception. The rise of artificial intelligence has promoted the development of software and has broad application prospects in many industries. However, after all, it has not reached a stage of maturity. At this stage, the capital frenzy and entrepreneurs have embraced it, bringing this technical science to a more serious challenge. .

1. Capital bubble

The formation of an outlet cannot be driven by the power of capital behind it. Today, investment in artificial intelligence has become almost the hottest in the world. According to a report released by iResearch in January 2016, there are nearly 100 startup companies in the field of artificial intelligence in China, of which about 65 have been invested and total RMB 2.910 billion (approximately US$ 448 million). Take innovative workshops as an example. In 2015, it has invested in more than 25 startups in the field of artificial intelligence; in September this year, it raised more than 4.5 billion yuan to invest in black technology and artificial intelligence; shortly afterwards, Kaifu Kai announced the creation of an artificial workshop. Intelligent Engineering Institute. And Dachen Venture Capital, Kunzhong Capital, Gaochun Capital, GGV, Qifu Capital, IDG, and Real Money Fund and other investment institutions compete on the artificial intelligence track either before or after.

Artificial intelligence seems to usher in the best era of entrepreneurship. However, the more entrepreneurs, the more cautious this time. The favor of capital has accelerated the development of the industry, but for players, the most important thing is to grasp the rhythm. Job box CEO Liu Ye thinks that the field of artificial intelligence is "too many capitals and too many concepts, but entrepreneurs are not enough." In his view, there are really scenes, products, entrepreneurs who can cut into the scene, or really have data. The number of entrepreneurs is relatively small.

2, the technical bubble

Artificial intelligence is not a specific industry or industry, but a branch of computer science. It is a new technology science for the research, development of theories, methods, technologies, and application systems used to simulate, extend, and extend people's intelligence. According to the well-known definition of Professor Winston of the Massachusetts Institute of Technology in the United States, "Artificial Intelligence is the study of how to make a computer a smart job that only people can do in the past." Artificial intelligence is almost all-embracing.

Such an area with high academic relevance needs to be applied to some industries or industries. It cannot simply rely on ordinary business thinking to get through. “Starting scientific research and then going to technology is a step, and technology to product is another step. Then the product has the opportunity to become a commodity. You have to sell it and have a certain amount of it before you really have a chance to succeed. It's not that we invest in a commodity. "Wang Huai, the founder of linear capital, said.

Now, there is a barrier that needs to be broken between talent and industry. According to Dr. Greg S Corrado, Google’s senior researcher in artificial intelligence and machine learning, talent is the biggest bottleneck in the development of artificial intelligence. There are two types of talents here, one is those who can truly understand and use artificial intelligence tools. Engineers; the other are innovative and business-minded people who can effectively apply AI technology more widely. The research and application of artificial intelligence is a cross-cutting and comprehensive process. Given the professional threshold, talented people who truly understand technology and understand the industry are still scarce.

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Description
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High flammability rating
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Applications
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