Adapting to the New Paradigm of Artificial Intelligence Driven Scientific Research | Artificial Intelligence | Driving
Currently, with the deepening development of the new technological revolution and industrial transformation, artificial intelligence technology is constantly breaking through and widely penetrating into the scientific research field, injecting new elements and kinetic energy into scientific research work, and playing a significant catalytic role in improving scientific research efficiency and paradigm change. Modern scientific research activities are becoming more efficient and precise, and "artificial intelligence driven scientific research" has become a new frontier of global artificial intelligence, which will inevitably open up a new situation for future scientific and technological development.
In recent years, China's artificial intelligence technology has developed rapidly, and research data and computing resources have become increasingly abundant. In line with the new trends of the new era, utilizing new technologies and advantages, it is timely and promising to promote the empowerment of artificial intelligence in scientific research.
Application scenarios are the breeding ground and training base for new paradigms. The interaction and mutual promotion between artificial intelligence technology and scientific research require repeated practice and continuous improvement in many application scenarios. With the continuous expansion and extension of application scope, scientific research capabilities continue to achieve intelligent upgrading. To this end, we plan the application scenarios of artificial intelligence technology with demand as the driving force, based on promoting scientific research to embrace artificial intelligence technology more closely, and expanding the application of artificial intelligence technology in major scientific fields such as mathematics, chemistry, geology, materials, biology, and space science. Fully leverage the role of artificial intelligence technology in literature data acquisition, experimental prediction, and result analysis, create more practical application scenarios around typical representative and radiating basic and applied science fields, integrate artificial intelligence model algorithms and domain data knowledge, continuously explore new paths and paradigms for major scientific problem research breakthroughs, and continuously accumulate replicable and promotable experience and practices.
The application of artificial intelligence technology in scientific research activities involves multiple specialties and links, which cannot be separated from the reasonable division of labor and effective cooperation of different types and chain entities. To this end, enterprises should be encouraged to use artificial intelligence to carry out key technology research and development, new product cultivation and other scientific research activities, support universities, research institutes, and new research and development institutions to explore advanced models of using artificial intelligence technology for major scientific research and technology development, cultivate and strengthen a group of cross-border technology transformation and enterprise incubation institutions, research intermediary service institutions, and explore new mechanisms for multi-party cooperation and cooperation. Innovate artificial intelligence models and algorithms for major scientific issues, develop a number of specialized platforms for "AI driven scientific research" in typical scientific research fields, promote the construction of the national new generation of AI public computing power open innovation platform, support the heterogeneous integration development of high-performance computing centers and intelligent computing centers, and encourage various scientific research entities to open scientific data according to the principle of classification and grading. Support the establishment of an innovative consortium for "artificial intelligence driven scientific research" and build an international academic exchange platform.
Adaptive talents are the fundamental source for breaking through and promoting new paradigms. Improving the application level of artificial intelligence technology in the field of scientific research requires not only professional talents in artificial intelligence and corresponding disciplines, but also interdisciplinary and composite talents to provide efficient support for cross-border communication and cooperation. This requires the construction of relevant human resource introduction platforms and mechanisms through multiple channels. To this end, it is necessary to cultivate and gather composite talents across artificial intelligence and professional fields through multiple channels. Support more scientists and researchers in scientific fields such as mathematics and physics to engage in related research, encourage ordinary universities and vocational colleges to set up science and technology innovation courses in the teaching of artificial intelligence disciplines, and enhance the scientific research professional literacy of students majoring in artificial intelligence. Encourage relevant talent training, cultivate a group of composite talents who balance artificial intelligence and professional research abilities through various forms such as setting up training courses, conducting practical exchanges, and organizing specialized training. Encourage local governments, central enterprises, and industry-leading enterprises to support relevant outstanding talents and research teams in carrying out smart empowerment research work through methods such as "unveiling and leading" and joint innovation.