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Bulletin of Chinese Academy of Sciences (Chinese Version)

Keywords

AI, intelligent science, parallel intelligence, foundation models, digital scientists, parallel sciences, DeSci

Document Type

Vigorously Promote Scientific Research Paradigm Transform

Abstract

Based on recent development in foundation model, parallel intelligence, decentralized science (DeSci), and other artificial intelligence (AI) technologies, from AI for Science (AI4S) to Science for AI (S4AI), this study discusses parallel sciences and digital scientists, and their impact and significance in paradigm shift for research and development as well as Industry 5.0 and intelligent industry, which demonstrate that paradigm shift is emerging and accelerating, and we must be prepared.

First page

27

Last Page

33

Language

Chinese

Publisher

Bulletin of Chinese Academy of Sciences

References

1 Marx K, Engels F. The German ideology// Marx & Engels Collected Works, Vol. 5. London: Lawrence & Wishart, 1976.

2 王飞跃. 平行哲学:智能产业与智慧经济的本源及其目标. 中国科学院院刊, 2021, 36(3): 308-318. Wang F-Y. Parallel philosophy: Origin and goal of intelligent industries and smart economics. Bulletin of Chinese Academy of Sciences, 2021, 36(3): 308-318. (in Chinese)

3 王飞跃, 缪青海, 张军平, 等. 探讨AI for Science的影响与意义:现状与展望. 智能科学与技术学报, 2023, 5(1): 1-6. Wang F-Y, Miao Q H, Zhang J P, et al. The DAOS to AI for science by DeSci: The state of the art and perspective. Chinese Journal of Intelligent Science and Technology, 2023, 5(1): 1-6. (in Chinese)

4 王飞跃, 缪青海. 人工智能驱动的科学研究新范式:从AI4S到智能科学. 中国科学院院刊, 2023, 38(4): 536-540. Wang F-Y, Miao Q H. Novel paradigm for AI-driven scientific research: From AI4S to intelligent science. Bulletin of Chinese Academy of Sciences, 2023, 38(4): 536-540. (in Chinese)

5 王飞跃, 丁文文. 分布式自主科学:科学多样可持续性发展的新范式. 中国科学院院刊, 2023, 38(10): 1501-1509. Wang F-Y, Ding W W. Decentralized science (DeSci): A new paradigm for diverse and sustainable scientific development. Bulletin of Chinese Academy of Sciences, 2023, 38(10): 1501-1509. (in Chinese)

6 Bommasani R, Liang P. Reflections on Foundation Models. (2021-10-18)[2024-01-02]. https://hai.stanford.edu/news/reflections-foundation-models.

7 田永林, 王雨桐, 王建功, 等. 视觉Transformer研究的关键问题:现状及展望. 自动化学报, 2022, 48(4): 957-979. Tian Y L, Wang Y T, Wang J G, et al. Key problems and progress of vision transformers: The state of the art and prospects. Acta Automatica Sinica, 2022, 48(4): 957-979. (in Chinese)

8 Lu J W, Wang X X, Cheng X, et al. Parallel factories for smart industrial operations: From big AI models to field foundational models and scenarios engineering. IEEE/CAA Journal of Automatica Sinica, 2022, 9(12): 2079-2086.

9 王飞跃, 缪青海. 基础智能:从联邦智能到基于TAO的智能系统联邦. 科技导报, 2023, 41(19): 103-112. Wang F-Y, Miao Q H. Foundation intelligence: From federated intelligence to TAO-based intelligent systems federation. Science & Technology Review, 2023, 41(19): 103-112. (in Chinese)

10 Wang Y T, Wang X, Wang X X, et al. The ChatGPT after: Building knowledge factories for knowledge workers with knowledge automation. IEEE/CAA Journal of Automatica Sinica, 2023, 10(11): 2041-2044.

11 Breque M, Nul L D, Petridis A. Industry 5.0—Towards a sustainable, human-centric and resilient European industry. [2024-01-02]. https://op.europa.eu/en/publication-detail/-/publication/468a892a-5097-11eb-b59f-01aa75ed71a1/language-en.

12 Wang X X, Yang J, Wang Y T, et al. Steps toward industry 5.0: Building “6S” parallel industries with cyber-physical-social intelligence. IEEE/CAA Journal of Automatica Sinica, 2023, 10(8): 1692-1703.

13 Ye P J, Wang F-Y. Parallel population and parallel human—A cyber-physical social approach. IEEE Intelligent Systems, 2022, 37(5): 19-27.

14 Wang F-Y. New control paradigm for industry 5.0: From big models to foundation control and management. IEEE/CAA Journal of Automatica Sinica, 2023, 10(8): 1643-1646.

15 Liu H T, Li C Y, Wu Q Y, et al. Visual instruction tuning. (2023-04-17)[2024-01-02]. https://arxiv.org/abs/2304.08485.

16 Awadalla A, Gao I, Gardner J, et al. Openflamingo: An open-source framework for training large autoregressive vision-language models. (2023-08-02)[2024-01-02]. https://arxiv.org/abs/2308.01390.

17 Lin Z Y, Liu C, Zhang R R, et al. SPHINX: The joint mixing of weights, tasks, and visual embeddings for multi-modal large language models. (2023-11-13)[2024-01-02]. https://arxiv.org/abs/2311.07575.

18 Gao P, Han J M, Zhang R R, et al. Llama-adapter v2: Parameter-efficient visual instruction model. (2023-08-28)[2024-01-02]. https://arxiv.org/abs/2304.15010.

19 Dai W L, Li J N, Li D X, et al. InstructBLIP: Towards general-purpose vision-language models with instruction tuning. (2023-05-11)[2024-01-02]. https://arxiv.org/abs/2305.06500.

20 Gates B. AI is about to completely change how you use computers. (2023-11-09)[2024-01-02]. https://www.gatesnotes.com/AI-agents.

21 王飞跃. 平行军事与平行战争:智能时代智能军事的起源与目标. 中国指挥与控制学会通讯, 2023, 8(4): 48-54. Wang F-Y. Parallel militaries and parallel wars: The origin and goal of intelligent militaries in the age of intelligence. Communications of the Chinese Institute of Command and Control, 2023, 8(4): 48-54. (in Chinese)

22 王飞跃. 平行哲学与智能科学:从莱布尼茨的Monad到区块链之DAO. 模式识别与人工智能, 2020, 33(12): 1055-1065. Wang F-Y. Parallel philosophy and intelligent science: From Leibniz’s Monad to Blockchain’s DAO. Pattern Recognition and Artificial Intelligence, 2020, 33(12): 1055-1065. (in Chinese)

23 Simon H A. The Sciences of the Artificial (3rd ed). Cambridge: MIT Press, 1996.

24 Szymanski N J, Rendy B, Fei Y, et al. An autonomous laboratory for the accelerated synthesis of novel materials. Nature, 2023, 624: 86-91.

25 Merchant A, Batzner S, Schoenholz S S, et al. Scaling deep learning for materials discovery. Nature, 2023, 624: 80-85.

26 王飞跃. 数字教师与平行教育:关于ChatGPT之后教学变革的探讨. 智能科学与技术学报, 2023, 5(4): 24-33. Wang F-Y. Digital teachers and parallel education: Paradigm shift in teaching after ChatGPT. Chinese Journal of Intelligent Science and Technology, 2023, 5(4): 24-33. (in Chinese)

27 秦蕊, 梁小龙, 李娟娟, 等. 平行科研院所:从数字化转型到智能化变革. 智能科学与技术学报, 2023, 5(2): 212-221. Qin R, Liang X L, Li J J, et al. Parallel scientific research institutes: From digital transformation to intelligent revolution. Chinese Journal of Intelligent Science and Technology, 2023, 5(2): 212-221. (in Chinese)

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