Analysis of the Configuration for State-of-art AI Chips and Applications
DOI:
https://doi.org/10.54097/kms7qt13Keywords:
Artificial intelligence; AI chips; deep learning.Abstract
As a matter of fact, the artificial intelligence chips provide core hardware computing support for the rapid development and application of artificial intelligence technology in recent years. In reality, they are the key driving force for the efficient, rapid application and energy-saving operation of artificial intelligence technology and are also the strategic commanding heights of the era of artificial intelligence. The purpose of this study is to analyze and summarize the architecture and practical application of the most advanced artificial intelligence chips. On this basis, this study will first analyze the development process of AI chips. At the same time, the classification, main architecture and working principle of AI chips are introduced. In addition, the study explains the application of AI chips in the existing mainstream market. Finally, this study will analyze the limitations of its research as well as look forward to the future. Overall, these results shed light on guiding further exploration of AI chips.
Downloads
References
Ren Y, Pan J, Liu J, et al. Research progress of artificial intelligence chips. Micro-nano electronics and intelligent manufacturing, 2019, 1(02):20-34.
Mead C. Neuromorphic electronic systems. Proceedings of the IEEE, 1990, 78(10): 1629-1636
An B. Analysis of the development status and prospects of AI chips. Micro-nano electronics and intelligent manufacturing, 2020, 2(01): 91-94.
China Institute of Electronic Technology Standardization. Artificial Intelligence Standardization White Paper (2018 Edition). Retrieved from: http://www.cesi.ac.cn/images/editor/ 20180124/20180124135528742.pdf.
Lecun Y, Bengio Y, Hinton G, et al. Deep learning. Nature, 2015, 521(7553): 436-444.
Keller J, Perez O. Improving MCTS and neural net- work communication in computer go. Worcester Poly- technic Institute, 2016.
Yin S Y. Overview of artificial intelligence chip. Micro/nano Electronics and Intelligent Manufacturing, 2019, 2: 7-11
Tan H H, Yu K. The challenge and prospect of edge AI chip. Artificial Intelligence, 2018, 2: 113-121.
Zhao Z P. New progress of nanoelectronics and neu- romorphic chips. Micronanoelectronic Technology, 2018, 55(1): 1-5.
Tsinghua University. Artificial Intelligence Chip Technology White Paper. Retrieved from: https://www.tsinghua.edu.cn/publish/thunews/9659/2018/20181217102627644168087/20181217102627644168087_.html.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Highlights in Science, Engineering and Technology

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.







