在嵌入式系统中对人工智能的审查
1School of Electrical Engineering and Intelligentization, Dongguan University of Technology, Dongguan 523000, China.
Micromachines
|May 27, 2023
概括
由于算法进步,在嵌入式设备上部署人工智能 (AI) 现在是可行的. 本文探讨了有效部署AI的方法,涵盖嵌入式AI应用程序的硬件,加速和压缩.
科学领域:
- 计算机科学 计算机科学
- 电气工程 电气工程
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 集成到嵌入式设备中存在挑战.
- 高能耗和兼容性问题阻碍了AI模型在资源有限的硬件上部署.
- 人工智能算法和嵌入式系统的最新进展提供了潜在的解决方案.
研究的目的:
- 为应对在嵌入式设备上部署人工智能的挑战.
- 探索有效的嵌入式AI的方法和应用.
- 提供当前嵌入式人工智能技术的全面概述.
主要方法:
- 调查适用于资源受限硬件的AI算法和模型.
- 检查专门为嵌入式设备设计的加速技术.
- 分析神经网络压缩方法以减少模型大小和计算负载.
- 审查嵌入式AI的当前应用模型.
主要成果:
- 确定了在嵌入式系统上部署人工智能的关键策略.
- 比较了各种基于文献的方法的优缺点.
- 强调了克服能源消耗和兼容性问题的可行性.
结论:
- 嵌入式AI部署正在变得越来越可行.
- 在嵌入式AI的特定领域需要进一步的研究.
- 这篇论文为嵌入式AI的未来发展提供了基础.
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