Today, the "AI+" society is approaching, and all sectors of society are actively drawing a perfect picture of artificial intelligence in the future.
Foreign artificial intelligence giants have continued to move and have made many breakthroughs in basic technology and application fields. These can be summarized in three points: strong basic research capabilities, intensive cross-industry innovation, and continuous talent dividends.
In China, we have outstanding strengths in deep learning, recognition technology and other fields, especially in the field of artificial intelligence market applications. However, the shortcomings are also obvious, and there is still room for strengthening in terms of basic technology, cross-border collaboration in the industrial chain, and core talent training.
If there are defects, there are also goals to be found. In the future, my country’s artificial intelligence industry and academia will inevitably focus on the above three weaknesses, assess the situation, consider the overall situation, pay close attention to planning, and make solid progress. While consolidating existing advantages, make up for shortcomings. Promote the sustainable development of China's artificial intelligence industry, and realize the role of promoting industrial upgrading and promoting economic development.
Therefore, the Programmer Inn-Development House conducts a comprehensive review of the artificial intelligence industry chain, and collects and lists 425 times (some enterprises have a large span and will be double-counted) through the method of industry chain stratification and industry segmentation induction. A map of domestic enterprises in the entire field of artificial intelligence .
The graph spectrum is divided into three basic levels, namely the basic layer, the algorithm layer, and the application layer with a wide range of scenarios.
Below the three levels, further subdivided, the coverage may not be comprehensive. If there is any omission, please leave a message to add.
2.1 Computer vision
2.2 Natural language processing
2.3 Technology Platform
3.1 Intelligent robot
3.2 Intelligent interactive technology
3.3 Smart drone
3.4 Automated/assisted driving
artificial intelligence financing trends The
above statistics show the number of artificial intelligence financing events from 2012 to 2020 and the scale of financing amount. We can see several obvious trends or turning points.
First, the momentum, 2014
Compared with the simple taste of 2012-2013, the artificial intelligence industry in 2014 has gradually shown a trend of sparks, and industry news continues to emerge.
For example, Google spent a huge sum of US$600 million to acquire DeepMind, an artificial intelligence start-up, and recruited the well-known Demis Hassabis; while deep learning man, Stanford University artificial intelligence researcher Andrew Ng, left Google to join Baidu.
Another example is Microsoft's development of Cortana, an intelligent assistant, with the help of speech recognition and semantic comprehension technology, which will become a personal assistant on Windows phones, which can simulate the way of speaking and thinking of people as much as possible to communicate with users and so on.
People in the industry that year also had such predictions about artificial intelligence: users’ private information could even be "misbehaved" by artificial intelligence software, creating another us that exists in virtual time and space.
If you think about it, we may not be different now.
2. Outbreak, 2015-2018
2015 is generally regarded by the industry as a milestone year for the development of artificial intelligence. Almost every day, you can hear new news about [artificial intelligence], or new product releases of leading companies, or startups receiving huge financing.
After experiencing the dispute between open source and the right to speak, the rapid acquisition and deployment of industry giants, and the ethical dispute in the field of artificial intelligence, the development of the industry has not retreated but progressed. In the following years, it has intensified and advanced at an extremely fast speed. The extension and wide application of artificial intelligence in other fields.
In July 2017, the State Council issued the "New Generation Artificial Intelligence Development Plan" three-step strategic goal. It is estimated that the scale of China's core artificial intelligence industry will exceed 150 billion yuan in 2020, driving the scale of related industries to exceed 1 trillion yuan.
In September 2018, the World Artificial Intelligence Conference opened in Shanghai. During the conference, nearly 20 thematic forums and summits were held to conduct lively discussions on the development status, trends, and hot spots of brain-computer integration, swarm intelligence, smart chips, and smart driving, and were conducted by domestic and foreign authoritative researches such as Gartner Consulting Company and China Academy of Information and Communications Technology. The agency releases industry trend reports.
Since then, artificial intelligence technology has gradually matured, artificial intelligence-related policies have continued to be introduced, and industrial application fields have continued to deepen. This has also accelerated the integration of artificial intelligence in my country with electronic terminals and vertical industries. Smart homes, smart cars, wearable devices, A batch of artificial intelligence products, such as intelligent robots, are fully reshaping industries such as home appliances, robots, medical care, education, finance, and agriculture.
Three, disillusionment? revival? 2019-2020
In 2019, some people think that this is the year of artificial intelligence disillusionment.
The limelight has passed, the enthusiasm is receding, the law of value regulates the market, and the effects of birth, old age, sickness and death begin to appear. This is the state of development of the AI industry in 2019. And the reality is cruel, commercial, landing, and large-scale revenue are becoming the core standard for testing AI companies.
Compared with the smooth winds of the past few years, like most startups in other fields, early hidden dangers will inevitably become one of the fuse of disillusionment, and any small problems in development can be fatal.
Roadstar.ai (Shenzhen Xingxing Technology) [died in the A round] caused by the founder's infighting , must be unknown in the industry.
Jibo, the originator of the family social robot, raised 72.7 million US dollars, died in the B round, died of competition .
i.am+, raised 123 million US dollars, died of a broken chain of capital flow ; its boss, the lead singer of Black Eyed Peas http://Will.i.am.
……
Infighting, competition, and capital flow are the same as the causes of death for startups in other fields. The clustering of projects, the failure to find the segmented value of the AI industry, the unobvious product differentiation, insufficient attention to commercialization, product landing, and unreasonable team structure may all become the last straw that crushes the camel.
In short, if you fail to go the right way, your life will be exhausted, and you can't blame Hades for making a mark on the book of life and death.
But some people think that this is just a little bit of darkness before dawn, calling artificial intelligence the field of the Renaissance .
Just as trial and error are inevitable in the process of machine learning, the artificial intelligence industry is like a complete system that requires continuous learning, practice, trial and error in the market and technological environment, and finally mature.
In addition, there is a slightly interesting data in the figure.
The number of investment events in 2020 is the same as in 2016, but the overall financing amount is more than four times different.
This also reflects that the artificial intelligence industry in the current market environment has become more rational and stable, and has undergone major changes in the financing structure, and is more inclined to large investments in the middle and late stages, key enterprises, and key technologies. The breadth has changed to the depth of investment.
This is the inevitable result of the operation of the market, and I believe it is also the only way to the **[AI Revival]**.