AI for Science: In-Depth Analysis of 2024 Nobel Prize Results and Suggestions for Guangdong’s Development
- DOI
- 10.2991/978-94-6463-676-5_63How to use a DOI?
- Keywords
- artificial intelligence; scientific research; scientific paradigm; AI for Science
- Abstract
With the theme of “Artificial Intelligence-driven Scientific Research” (AI for Science), this paper focuses on analyzing the results of the 2024 Nobel Prize in Physics and the Nobel Prize in Chemistry, analyzing the innovation path of cross-fertilization of basic sciences such as physics, chemistry and AI, revealing the important role of AI for Science in driving paradigm shifts, enhancing research efficiency, and expanding the horizons of scientific exploration.It analyzes the innovation path of cross-fertilization of physics, chemistry and other basic sciences with AI, reveals the important role of AI for Science in promoting the paradigm change of scientific research, improving the efficiency of scientific research, and broadening the boundaries of scientific research, etc. At the same time, it introduces the practices of various countries in promoting AI for Science as well as China’s strategic deployment in the field of AI for Science, and gives corresponding suggestions for the development of AI for Science in Guangdong.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Huan Wang AU - Xiaohui Fu AU - Haoyuan Guan AU - Huimin Shang PY - 2025 DA - 2025/04/15 TI - AI for Science: In-Depth Analysis of 2024 Nobel Prize Results and Suggestions for Guangdong’s Development BT - Proceedings of the 2024 6th Management Science Informatization and Economic Innovation Development Conference (MSIEID 2024) PB - Atlantis Press SP - 650 EP - 659 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-676-5_63 DO - 10.2991/978-94-6463-676-5_63 ID - Wang2025 ER -