In view of the current difficulties in the development of generative AI applications, the report of China Internet Network Information Center also gives corresponding suggestions.
For example, high-computing chips are the foundation for the development of generative AI, and various fields of AI, such as speech recognition, image recognition, autonomous driving, etc., require a lot of computing power to support complex tasks. Computing chips are the core support of artificial intelligence technology, with powerful computing and processing capabilities, which can efficiently execute complex artificial intelligence algorithms, quickly complete large-scale operations and provide accurate results, and play a key role in the training and inference process of artificial intelligence. The report pointed out that China should ensure that R&D and production in this field are independent and controllable in order to maintain national security and development.
In order to promote the development of the computing chip industry, the following measures can be taken:
Strengthen technological innovation: Continue to promote innovation in chip design and manufacturing technology, improve the performance and energy efficiency ratio of chips, and meet the market demand for high-performance and low-power chips. Encourage enterprises and scientific research institutions to increase R&D investment in computing architecture, chip manufacturing process, packaging technology, etc., and explore new technology paths, such as data flow chips, integrated storage and computing chips, reconfigurable chips, etc.
Improve the coordination of the industrial chain: Strengthen the coordination and cooperation of the upstream and downstream industrial chains, including chip design, manufacturing, packaging and testing, equipment and materials, etc., to enhance the competitiveness and anti-risk ability of the entire industrial chain. Establish industrial alliances or cooperation platforms to promote technical exchanges, resource sharing and collaborative innovation between enterprises, jointly overcome technical problems, and promote the overall development of the industry.
Increase talent training and introduction: The development of the chip industry is inseparable from high-quality talents. Increase the training of chip-related professionals, set up relevant professional courses in colleges and vocational colleges, pay attention to practical teaching, and cultivate more professionals who master chip design, manufacturing, testing and other technologies. At the same time, it actively introduces overseas high-end talents and teams to provide intellectual support for industrial development.
Figure: Sugesstions for the development of generative AI applications
Strengthen policy support and guidance: The government has introduced relevant policies, such as financial subsidies, tax incentives, and R&D investment support, to encourage enterprises to increase investment in the computing chip industry. Formulate industrial development plans and technical standards, guide the rational layout and healthy development of industries, and avoid duplicate construction and vicious competition.
Strengthen international cooperation and exchanges: Seek cooperation opportunities on a global scale, cooperate with international advanced chip companies and scientific research institutions, and introduce advanced technology and management experience. Actively participate in the formulation of international standards, enhance the voice and influence in the global chip industry, and promote domestic chip technology and products to the international market.
In addition, the report also points out that talent is the core driving force for the development of generative AI, so it is necessary to continuously optimize the mechanism of "attracting, nurturing, and retaining talents" to build a solid talent foundation for the digital era. First of all, colleges and universities should strengthen practical education. Relevant institutions should closely meet the market demand, offer generative AI-related courses, focus on the integration of theory and practice, and deepen school-enterprise cooperation, so as to provide students with internship and practice platforms, so that they can apply the knowledge they have learned in a real work environment and improve their ability to solve practical problems. Second, AI education should be popularized at the primary and secondary levels. According to the cognitive characteristics of students of different ages, the basic knowledge of artificial intelligence should be incorporated into the quality education system, and appropriate course content should be designed to stimulate interest, cultivate basic technical understanding and application ability, and lay the foundation for the growth of future professionals. Finally, it is necessary to improve the mechanism for the introduction and guarantee of overseas talents. Optimize the support system for the return of high-end talents, provide attractive remuneration, scientific research conditions and living environment, and build a talent policy system with international competitiveness.
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