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Fast development of noise detection ML models: Qeexo AutoML and Arm Virtual Hardware
In this talk, we will demonstrate the quick development of a specific noise detection machine learning model and evaluation of that model using the no-code Qeexo AutoML flow. After a user has evaluated the overall machine learning model performance, they may want to integrate that model into their custom embedded software for full system emulation. We will demonstrate the integration of output libraries from Qeexo AutoML encapsulating the ML model into the Arm Keil IDE using CMSIS-Pack mechanism and running the final custom binary application on Arm Virtual Hardware.

Qeexo AutoML has a unique integration with Arm Virtual Hardware, allowing quick prototyping of machine learning models on Arm’s Cortex-M55 processor without physical hardware. Qeexo has recently enhanced that integration to take advantage of the Arm Ethos-U55 microNPU to allow quick evaluation of the performance improvement of using Ethos-U55 acceleration with the Vela compiler.

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This talk is part of the Arm Tech Talk Series: https://www.arm.com/techtalks

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Mar 7, 2023 04:00 PM in London

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