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Getting started with Arm Cortex-M software development and Arm Development Studio
Pareena Verma, Principal Solutions Architect, Arm
Ronan Synnott, Principal Solution Architect, Arm

Abstract
Advances in processing power and machine learning algorithms enable us to run machine learning models on tiny far edge devices. Arm’s SIMD, DSP extension and vector processing technologies processor bring an unprecedented uplift in energy-efficient machine learning and signal processing performance for next-generation voice, vision or vibration use cases.

Arm also provides a unified software toolchain for a frictionless and fast developer experience. Join this webinar to learn how to get started today to port optimized ML code for the Arm microcontrollers. In this session, we will cover:

How to develop and debug your software with Arm Development Studio
How to get started with MCU software development on Arm Fast Model Systems
How to build and deploy a ML application with TensorFlow Lite and CMSIS-NN kernels to a Cortex-M7 device
How to migrate your ML code to Arm Cortex-M55, Arm’s most AI-capable Cortex-M processor

This talk is part of the bi-weekly AI Virtual Tech Talk Series: https://developer.arm.com/solutions/machine-learning-on-arm/ai-virtual-tech-talks

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https://www.arm.com/company/policies/privacy.

Aug 11, 2020 04:00 PM in London

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