使用先进MCU实现加速的机器学习应用

Brian Rodrigues

集成电路与嵌入式系统 ›› 2022, Vol. 22 ›› Issue (10) : 16-20.

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PDF(1608 KB)
集成电路与嵌入式系统 ›› 2022, Vol. 22 ›› Issue (10) : 16-20.
技术专题—嵌入式人工智能

使用先进MCU实现加速的机器学习应用

  • Brian Rodrigues
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Implementing Accelerated Machine-learning Applications with an Advanced MCU

  • Brian Rodrigues
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摘要

随着技术的发展,人工智能正在进入嵌入式系统应用领域,越来越多的应用程序运行在MCU上。为了顺应这一趋势,Silicon Labs推出了一款可以执行硬件加速AI操作的无线MCU—EFR32xG24。本文列举了3个项目示例,应用EFR32xG24实现多种机器学习应用。

Abstract

With the development of technology,artificial intelligence is entering the application of embedded systems,and more and more applications are running on MCU.In order to cope with this trend,Silicon Labs launched a wireless MCUEFR32xG24,which can perform hardware accelerated AI operations.This paper lists three project examples to implement various machine learning applications using EFR32xG24.

关键词

Silicon Labs / MCU / EFR32xG24 / 机器学习

Key words

Silicon Labs / MCU / EFR32xG24 / machine learning

引用本文

导出引用
Brian Rodrigues. 使用先进MCU实现加速的机器学习应用[J]. 集成电路与嵌入式系统. 2022, 22(10): 16-20
Brian Rodrigues. Implementing Accelerated Machine-learning Applications with an Advanced MCU[J]. Integrated Circuits and Embedded Systems. 2022, 22(10): 16-20
中图分类号: TP31   

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