Free AI model optimizer for STM32. STM32Cube.AI allows you to optimize and deploy trained Neural Network models from the most popular AI frameworks on any STM32 microcontroller. It now includes the support of the Neural-ART Accelerator NPU embedded inside the STM32N6.

X-CUBE-AI is an STM32Cube Expansion Package designed to evaluate, optimize, and compile edge AI models for STM32 microcontrollers and the Neural-ART Accelerator. When optimizing NN models for the Neural-ART Accelerator NPU, the tool generates the microcode that maps AI operations to the NPU when possible, falling back to CPU when necessary.

Aug 28, 2024 · CUBEAI（Cube Artificial Intelligence）是一种人工智能（AI）中间件，旨在为嵌入式系统提供高效、灵活的神经网络推理能力。 该中间件的设计目标是在资源有限的嵌入式设备上实现深度学习推理，从而为物联网（IoT）设备、嵌入式系统和边缘计算场景提供强大的人工智能支持。 下载X-CUBE-AI工具包. 创建项目选择能运行神经网络的MCU，STM32F4以上系列的都支 …

theCUBE AI offers unique insights into the world of enterprise technology. Responses are based on verbatim transcripts from thousands of live conversations with industry thought leaders on theCUBE.

X-CUBE-AI is part of the STM32Cube.AI ecosystem. It extends STM32CubeMX capabilities with automatic conversion of pretrained artificial intelligence algorithms, including neural network and classical machine learning models.

STM32Cube.AI is free of charge, available both in graphical interface and in command line. Automatically improve performance through graph simplifications & optimizations that

Mar 9, 2023 · STM32Cube.AI is special because it helps run algorithms on MCUs and makes developing a machine-learning application easier. It relies on STM32CubeMX, which assists developers in initializing STM32 devices, and X-CUBE-AI, a software package containing libraries to convert pre-trained neural networks. The solution, therefore, uses a familiar and ...

STM32Cube.AI Developer Cloud (STM32CubeAI-DC) is a free-of-charge online platform and services to create, optimize, benchmark, and generate artificial intelligence (AI) for the STM32 microcontrollers and microprocessors based on the Arm ® Cortex ® processors. It can leverage AI hardware acceleration (neural processing unit, NPU) whenever ...

本文将以STM32F429开发板(使用的是野火的STM32F429挑战者开发板)为例，结合STM32CubeMX和X-Cube-AI工具包，详细讲解如何将训练好的神经网络模型部署到嵌入式MCU上，并实现实时推理。

Free SW tools to embed Machine Learning on STM32 MCU and MPU. Edge AI can improve your product in a simple, fast, and cost-effective way.