迈向更通用赋能的人工智能

2023年第25卷第6期

参考文献

相关研究

回顶部

《工程（英文）》 >> 2023年第25卷第6期 doi: 10.1016/j.eng.2023.05.008

迈向更通用赋能的人工智能

^a Department of Information and Electronic Engineering, Chinese Academy of Engineering, Beijing 100088, China
^b College of Computer Science, Zhejiang University, Hangzhou 310027, China

发布日期： 2023-06-01

HTML21 PDF 124 收藏 0

参考文献

[ 1 ] Fjelland R. Why general artificial intelligence will not be realized. Humanit Soc Sci Commun 2020;7:10. 链接1

[ 2 ] Pan Y. Heading toward artificial intelligence 2.0. Engineering 2016;2(4):409‒13. 链接1

[ 3 ] Pan Y. Special issue on artificial intelligence 2.0. Front Inform Technol Electron Eng 2017;18(1):1‒2. 链接1

[ 4 ] Pan Y. 2018 special issue on artificial intelligence 2.0: theories and applications. Front Inform Technol Electron Eng 2018;19(1):1‒2. 链接1

[ 5 ] Bubeck S, Chandrasekaran V, Eldan R, Gehrke J, Horvitz E, Kamar E, et al. Sparks of artificial general intelligence: early experiments with GPT-4. 2023. arXiv:2303.12712.

[ 6 ] Lyu YG. Artificial intelligence: enabling technology to empower society. Engineering 2022;6(3):205‒6.