Low-Power Microcontroller Subsystems with ML Acceleration

The addition of Arm Helium vector processing technology in Arm Cortex-M55 and Cortex-M85 allows academics to run more demanding, yet energy-efficient, digital signal processing (DSP) and machine learning (ML) experiments. When coupled with the Arm Ethos-U55 accelerator, research into voice activation, image classification, and gesture recognition becomes accessible. Arm Fixed Virtual Platforms, affordable hardware, and a comprehensive toolchain enable seamless software development, as common signal processing functions are included in the libraries.

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Hardware Design

Academics can access commercially proven, unencrypted, ML-oriented Cortex-M RTL, and pre-verified Corstone reference packages to reduce the cost and complexity of integrating custom research IP. Community proven reference designs, along with training, education, and support help streamline and accelerate the hardware journey.

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Community Resources

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Software Development

The ecosystem for developing software applications that support the Arm Helium vector extensions and/or Ethos NPU acceleration is rich and deep. The toolchain is available through a free Keil MDK Visual Studio Code extension or as standalone components like CMSIS and Arm Development Studio. Functionally accurate Arm Fixed Virtual Platforms are available for all Cortex-M processors and, as an academic, you can join the Developer Program for additional support.

Arm Tools and Developer Resources

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Our comprehensive range of online courses, books, and education kits is useful not only for teachers and learners, but for researchers as well.

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Education content for undergraduate and early career learners.

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Training for those who already have access to Arm technology.

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