PDF (607K)

Abstract

Artificial intelligence (AI) chips are the core hardware supporting the development of intelligent technologies and their technological advancements hold significant importance for national scientific innovation, industrial development, and economic growth. This study summarizes the global development trends of AI chips from three perspectives: cloud AI chips, edge AI chips, and neuromorphic chips. It analyzes the application demands of AI chips in China and reviews the current status and development trends of related industries and technologies from the aspects of chip design, manufacturing, and packaging and testing. Currently, AI chips manufactured in China have shortcomings in terms of performance, technologies, and supply chain, necessitating independent innovation and industrial collaboration. The development of these chips also encounters challenges such as high costs and long cycles, requiring stable financing channels and the accumulation of development experiences. Moreover, the AI chip sector in China suffers from a talent shortage, demanding improved training quality and better talent-retaining strategies. Accordingly, this study proposes development paths for China’s AI chip industry, including overcoming technical bottlenecks, accelerating industrialization, expanding internationalization, and implementing market support. Key measures include advancing technological innovation and major project development, fostering new chip architectures and open-source industry ecosystems, establishing technical standards, and promoting the integration of industry, education, and research. These efforts aim to drive the sustainable and high-quality development of China’s AI chip industry.

引用本文

BibTeX

EndNote

RefWorks

TxT

引用格式 ▾

我国人工智能芯片发展探析[J].

中国工程科学, 2025, 27(1): 133-141 DOI:10.15302/J-SSCAE-2024.10.028

上一篇

下一篇

登录浏览全文

4963

注册一个新账户

忘记密码

参考文献

原文顺序

|

出版日期

|

本文引用