First, as the main base of AI development in the People’s Republic of China, the state has greatly increased its investment in the industry. It pays particular attention to the long-term financial support of basic research and strengthens support for the AI industry in a targeted and selective manner with foundations and benefits.
It was necessary to draw lessons from the experience and lessons in the allocation of national funds for scientific research and development in the past, to formulate and improve the principles and methods of rational allocation of funds, as well as to take effective and equitable measures to address the problem of inequitable distribution of research funds and to make the most of the support provided by staff incentives.
Second, China has encouraged private capital to invest in the AI industry and entrepreneurship. Inspired by the current boom in the AI industry, many private capital necessarily want to join the AI industry. Giants and start-ups are collaborating to revitalize the AI market. Internet companies such as Baidu, Alibaba and Tencent have already aligned themselves in the AI space and the injection of capital is expected to revitalize the market. According to some surveys, a large number of start-ups are getting involved in the AI field, and almost all of them have received investment, with funding well over five billion yuan.
Driven by factors such as domestic political support, application demand, technological advancement and capital injection, a market window of more than one hundred billion is opening. By making sure to create a good development environment for non-public AI enterprises, providing free and quality services in terms of market access, examination and approval, processing and services, etc. , as well as mobilizing the enthusiasm of private enterprises and accelerating the development of the non-state economy, have been the foundations of this development.
However, due to the characteristics of the AI industry with broad application prospects, high technological content, long payback period and short technological iteration cycle, many investors bluntly stated that they ” didn’t understand when it came to AI technology, which meant that before investing, they wanted to better understand what it was about – beyond the echo effect of the phenomenon – to invest your capital wisely.
In addition to evaluating the technological progress and commercial application prospects of the AI field or the AI project invested domestically or abroad, there was also the question of the personnel who should have certain professional skills, the finance experts who must have long experience – long-term investment vision.
Over the years and given the successes achieved, many credit and investment institutions are now more concerned with the value of short-term investment – because long-term investment has long brought economic benefits, visibility and authority abroad – with the expectation of generating returns over a period of three or five years. It must be said, however, that projects that invest in AI often have a relatively long payback period and further evaluation is needed to see if they can generate returns within the expected time frame. Investment in AI technology and industries should be evaluated carefully.
While increasing support for VI research and development, fund management needed to be strengthened. It was recommended to implement scientific management of the whole project review and implementation process, strengthen peer review, especially fund review and management of use of funds, to eliminate waste and prevent corruption, so that limited funds can be cut. The technology has therefore been greatly improved.
During the work of the National Committee of the Chinese People’s Political Consultative Conference, as early as 2015, it was recommended to build one of the largest AI development platforms in the world, considering the need and feasibility of establish a national AI development plan.
In the era of Internet networks, big data and cloud computing, it is unimaginable to develop high-tech data science and large supercomputing and fields such as AI without their own general platform. There is a need for scientific research institutes, companies and even individual manufacturers to bring various innovations to this platform in a fair and equitable manner. AI technology now has substantial applications: voice recognition, image recognition, multilingual translation, machine learning, intelligent planning, intelligent control or driverless cars, unmanned aerial vehicles and autonomous underwater vehicles, etc. The core technology of AI begins with the mobile robot, and an intelligent robot platform development is the first step for the further development of big data, cloud computing, intelligent games, general education, systems logistics, services, transport, smart cities and tourism, expert systems, smart grid (in electrical engineering and telecommunications, a smart grid is the combination of a computer network and an electrical distribution network , which makes it possible to intelligently manage the electrical network in various aspects or functionalities, that is, managing it efficiently for the distribution of electricity and for a more rational use of energy, while minimizing overloads and variations in electrical voltage around the nominal value), etc.
This platform is open to innovation, to the sharing of resources and equipment, and benefits from the strong support of convinced investors.
China already has extremely rich computer and Internet technology resources, and as computer and network resources become more and more abundant and costs are lower and lower, many intellectual functions that could not be simulated by computers are now able to do so. AI is the highest trend in technology in today’s world. For now, the other big goal – man’s journey to Mars – is only at the theoretical-experimental stage. China currently has the ability to build an AI platform with global influence. At the same time, we must realize that there are still great gaps and difficulties in achieving resource sharing on national and even global issues such as data storage, and this should not be taken lightly.
AI products have both hardware and software, with software being the core technology. In the past, there weren’t many AI products in China – both hardware and software, with software as the core technology – and without a national standard, the impact was minimal. With the rapid rise of the AI industry, new products have increased exponentially. Such AI acquisitions will certainly be confusing and will inevitably get mixed up with a number of counterfeit and substandard products, thereby disrupting the market. In order to ensure the healthy development of the AI industry and protect the legitimate rights and interests of consumers, government legislation, as well as quality inspection and market management departments, take precautions and seize the advisability of formulating or revising standards, through rigorous inspections and personnel audits, to carefully prevent the entry of unskilled labor.
Only by letting qualified AI products into the market can the high-tech reputation of AI be maintained, enabling the AI industry to create healthy development and so to promote industry so that it can truly become the basic technology of intelligent production: a new lever for the transformation and enhancement of the national economic structure, that is to say the engine of a new revolution industrial. (12. continued)
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