Artificial intelligence: a review of development, application and prospects
DOI:
https://doi.org/10.61173/y38yzk38Keywords:
Artificial intelligence, machine learning, deep learning, natural language processing, computer vision, roboticsAbstract
This paper summarizes the development process, current application and prospects in the field of artificial intelligence (AI). First, the paper reviews the origins and key breakthroughs of artificial intelligence and then discusses the common AI technologies and their applications in various fields, including machine learning, natural language processing, computer vision, robotics, and intelligent control. Finally, the future development of AI is explored, and possible challenges and opportunities are discussed. Through this introduction, readers will be able to have a deeper understanding of the core AI principles, application areas, challenges, and key technologies that support its development.
References
[1] Lu Wei, Zhong Zhenyi & Zhang Wei. (2018). Overview of can realize automatic management of home equipment artificial intelligence technology. Shanghai Electric Technology and improve the living experience; in modern agriculture, (01), 62-64. intelligent control technology can accurately adjust crop
[2] Jiang Wansheng & Wang Jiani.(2023). The influence of growth environment and improve yield and quality; and artificial intelligence on the development of productive forces in in industrial manufacturing, intelligent control technology modern society —— Based on the analysis of the three elements can optimize the production process and reduce energy of Marx’s labor process. Journal of Northwestern Polytechnical consumption and cost. These applications not only im- University (Social Science Edition) (02), 10-18. prove productivity but also reduce the risk of human er-
[3] Zhang Bin.(2018). The application of artificial intelligence ror[27][28]. in the security field. Telecommunications Engineering In addition, the application fields and technological break- Technology and Standardization (12),1-6.doi:10.13992/j.cnki. throughs of AI are continuing to expand and deepen, intetas.2018.12.001. volving autonomous driving and intelligent transportation,
[4] Cao Yanlin, General Wang, Chen Pu, Jia Fei, Xu Hailin, Su smart medical care, fintech, education, and entertainment Man & Zhao Ruiqin. (2018). Opportunities and challenges of and creative industries. artificial intelligence to medical services. The Chinese Hospital 5. The future outlook of artificial intel- (06),25-28.doi:10.19660/j.issn.1671-0592.2018.06.09. ligence [5] Liu Deqiang, Du Jing, Jiang Nan & Huang Ronghuai.(2018). The development trend of artificial intelligence integration into Many traditional occupations are subject to the impact school education. The Open Education Research (04),33-42. of artificial intelligence, and those with more mechanical doi:10.13966/j.cnki.kfjyyj.2018.04.004. behavior will be replaced first. While artificial intelligence [6] Zhou Limin.(2019). Disaster management in the has replaced some industries, it has also spawned some era of artificial intelligence —— is based on multi-case new industries [29]. The future development of artificial studies. Chinese Administration (08),66-74.doi:10.19735/ intelligence will pay more attention to the deep integra- j.issn.1006-0863.2019.08.08. tion with human society. On the one hand, AI will realize [7] Jiang Guorui, Chen Hui & Wang Shuxin. (2020). The intelligent applications in more fields, such as smart med- development process and research of artificial intelligence. The ical treatment, curriculum development, communication Computer Age (09), 7-10 + 16. doi:10.16644/j.cnki.cn33-1094/ technology, health management, car driving, virtual city, tp.2020.09.003. etc.; on the other hand, AI will pay more attention to the [8] Hu Changhao.(2018). Analysis of the development course cooperation with human beings, improve the efficiency of and future trend of artificial intelligence. Economic Research human-computer interaction and natural [30]. Guide (31), 33-35 + 196. However, the development of artificial intelligence also [9] Cui Yonghao, Shang Cong, Chen strontium Qi, etc. Artificial faces many challenges. How can we ensure the security Intelligence Review: The Development of AI [J]. Radio and control of AI technology? How can we balance the Communication Technology, 2019,45 (3): 225-231. development of AI technology with the protection of [10] Zou Lei & Zhang Xianfeng.(2012). Artificial intelligence human privacy? How can we avoid the abuse of AI tech- and its developmental applications. Information Network nology and other problems that we need to think deeply Security (02), 11-13. about and solve? [11] Zhang Kaifei.(2010). The application field of AI and its 6. Conclusion future prospects. Journal of Luliang Junior College (04), 79-81.
[12] Zhang Run & Wang Yongbin.(2016). Machine learning As one of the hot spots in the field of science and technol- and its algorithms and development research. Journal of the ogy, artificial intelligence has made remarkable progress Communication University of China (Natural Science Edition) and had a wide impact in various fields. In the future, with (02),10-18+24.doi:10.16196/j.cnki.issn.1673-4793.2016.02.002. the continuous progress of technology and the continuous [13] Xu Hongxue, Sun Wanyou, Du Yingkui & Wang Anqi. expansion of application scenarios, artificial intelligence (2020). Review of the classical algorithms of machine learning will realize intelligent applications in more fields and and their applications. Computer Knowledge and Technology bring more benefits to human society. At the same time, (33),17-19.doi:10.14004/j.cnki.ckt.2020.3359. we also need to pay attention to and solve the challenges [14] Yu Kai, Jia Lei, Chen Yuqiang & Xu Wei.(2013). Yesterday, and problems in the development process of AI technol- Today and tomorrow, of deep learning. Computer Research and ogy to ensure the healthy and sustainable development of Development (09), 1799-1804. Dean&Francis
[15] Huang Jiangyuan, Wang Jingjing & Zhang Liangqing. & Liu Changqing. (2006). The Research status of disaster relief (2024). Progress in the application of AI machine learning in robot and the application of coal mine disaster relief. Robotics thoracic anesthesia. Chinese Medicine (02), 308-311. (03),350-354.doi:10.13973/j.cnki.robot.2006.03.021.
[16] Mi Guangbao, Sun Yuanzhi, Wu Mingyu & Li Peijie. [23] Lu Shouyin, Zhang Ying, Li Jianxiang & Mu Shiyou. (2017). (2024). Progress in aero-engine titanium alloy research. Aviation Application of mobile robot in high-voltage substation. High- Manufacturing Technology (Z1),66-78.doi:10.16080/j.issn1671- Voltage Technology (01),276-284.doi:10.13336/j.1003-6520. 833x.2024.01/02.066. hve.20161227036.
[17] Wei Jin, Yan Chunyu & Yan Xueyuan.(2024). Progress and [24](2015). Made in China 2025 promotes the development of prospect of the application of machine learning in intelligent robots. Robotics Technology and Application (03), 31-33. logistics research. Logistics Technology (01),70-72+77. [25] Dong Xiaopo & Wang Xuben.(2007). Development of doi:10.13714/j.cnki.1002-3100.2024.01.016. rescue robots and its application in disaster relief. Journal of
[18] Mi Xiaoxi, Tang Aitao, Zhu Yuchen, Kang Liang & Pan Disaster Prevention and Mitigation Engineering (01), 112-117. Fusheng.(2021). Progress in the application of machine learning [26] Feng Dong, Liu Zhifeng & Yang Kangkang. Analysis of technology in materials science. Material Guide (15), 15115- robot application status in spinning industry. Cotton textile 15124. technology 1-6.
[19] Yang Xu, Li Yonghua & Gai Zengxi.(2021). Progress in [27] Ding Sujuan.(2024). Optimization and application of the application of machine learning in seismology. A Review intelligent control technology integrating water and fertilizer in of Earth and Planetary Physics (01),76-88.doi:10.19975/ farmland irrigation system. Hebei Agriculture (03), 89-90. j.dqyxx.2020-006. [28] Cao Qiulin.(2024). Design and Application of Intelligent
[20] Zhao Jingsheng, Song Mengxue & Gao Xiang. (2019). An Control System in Electrical Engineering. Time Motors (06), Overview of the development and application of natural language 138-140. processing. Information Technology and Informatization (07), [29] Zhou Shuang & Liu Yun.(2023). Outlook for the application 142-145. of artificial intelligence in the future market. Industrial
[21] Zhu Yun, Ling Zhigang & Zhang Yuqiang. (2020). Research Innovation Research (17), 57-59. progress and prospect of machine vision technology. Journal of [30] Liang Zheng & He Jiayu.(2023). Artificial intelligence Drawing (06), 871-890. enabling education: application status and future prospects. The
[22] Qian Shanhua, Ge Shirong, Wang Yongsheng, Wang Yong People’s Education (09), 21-26.
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