Stm32cube ai example. AI CMSIS-PACK export option is selected. AI Brings Embedded Systems to Topology Experts Example of a Feed Forward topology 2. It is based on the STEdgeAI-Core technology. AI Using AI opens the door to new application possibilities! Discover inspiring real-world examples and use our resources to create your own application. Edge AI can improve your product in a simple, fast, and cost-effective way. 2. X-CUBE-AI is an STM32CubeTM Expansion Package part of the STM32Cube. 手軽にSTM32Cube. 0. AI可用于在任意STM32微控制器上优化并部署由主流AI框架训练的神经网络模型。 X-CUBE-AI is an expansion software for STM32CubeMX that generates optimized C code for STM32 microcontrollers and neural network inference. X-CUBE-AI documentation X-CUBE-AI is an STM32Cube Expansion Package based on STEdgeAI-Core technology. Learn how to use STM32CubeMX and X-Cube-AI tools to work with Neural Networks on STM32 This online course demonstrates to create a basic Neural Network embe Description STM32Cube. AI. The project is Free SW tools to embed Machine Learning on STM32 MCU and MPU. Learn how to use STM32CubeMX and X-Cube-AI tools to work with Neural Networks on STM32 This online course demonstrates to create a basic Neural Network embe This integration makes edge AI on MCU both practical and widespread, and offers a powerful, efficient, and scalable solution for a diverse range of applications. First, we show you how to download and enable the X-CUBE-AI add-on package from within STM32CubeIDE. The examples are organized by boards. X-CUBE-AI is part of the STM32Cube. The guide also explains how t Approved version. using STM32H723 Nucleo board and X-CUBE-AI v7. AI Works Additionally, it will highlight real-world examples of AI applications on STM32 microcontrollers and provide insights into future developments and improvements. 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. The Neural-ART Accelerator is fully supported by ST Edge AI Core, including STM32Cube. be/grgNXdkmzzQ?t=10What you will need to follow: https://youtu. AI overview STM32Cube. It extends STM32CubeMX capabilities with automatic conversion of pretrained artificial intelligence algorithms, including neural network and classical machine learning models. It also integrates a generated optimized library into the user's project. ai是广泛使用的stm32cubemx配置和代码生成工具的扩展包，支持基于stm32 arm cortex -m的微控制器上的ai。要访问它，请 下载 并 The STM32 AI model zoo is the largest collection of pre-trained AI models (140+) optimized to run on STM32 microcontrollers. 2. The project is Introduction This tutorial begins with STM32CubeMX and demonstrates an AI application for the STM32N6-DK board. The project is AI:X-CUBE-AI documentation AI:STM32Cube. This article describes how to automate the generation and validation of machine learning model code with the X-CUBE-AI command-line interface (CLI). 基于stm32f407cube ai实例 （一）Cube ai简介 得益于st的一套新的人工智能 (ai)解决方案，您现在可以在广泛的stm32微控制器产品组合上映射和运行预先训练的 人工神经网络 (ann)。stm32cube. AI generated application STM32Cube MCU package examples for STM32N6 MCUs Introduction The STM32CubeN6 STM32Cube MCU Package is delivered with a rich set of examples running on STMicroelectronics boards. AIは、STのAIエコシステムに含まれるSTM32Cube拡張パッケージです。 マイコンの初期化コード自動生成ツール「STM32CubeMX」の機能を拡張して、学習済みニューラル･ネットワークを自動変換し、ユーザのプロジェクトに統合できるように最適化され STM32Cube. Our extensive solutions for embedded AI. Exporting as a STM32Cube. 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. This is an example of how to Create, Init and Inference each model for 2 sample keras models. AI, the industry’s most advanced AI toolkit capable of Find out more information: http://bit. STM32CubeIDE is an all-in-one multi-OS development tool, which is part of the STM32Cube software ecosystem. AI v8 is highly symbolic as it supports quantized networks using the ONNX file format, while the new STM32Cube. 1 or newer) as described in user manual Getting started with X STM32AI_Overall_Offer Simple, fast, optimized. Description X-CUBE-AI is an STM32Cube Expansion Package part of the STM32Cube. 3 days ago · STM32Cube AI Studio is now available as ST’s new standalone environment for optimizing, validating, and deploying AI models on STM32 MCUs. This user manual provides the guidelines to build step-by-step a complete Artificial Intelligence (AI) IDE-based project for STM32 microcontrollers with automatic conversion of pre-trained Neural Networks (NN) and integration of the generated FP-AI-VISION1 is an STM32Cube function pack featuring examples of computer vision applications based on a Convolutional Neural Network (CNN). If the user wants to validate its pretrained model with the X-CUBE-AI validation engine and compare with the deployed model, he must ensure that the format and the applied pre-processing are similar to Today, ST welcomes STM32Cube AI Studio, a new standalone software tool that replaces X-CUBE-AI as the desktop solution for preparing, optimizing, and STM32Cube AI Studio is a free-of-charge GUI allowing an automatic conversion of pretrained artificial intelligence algorithms, including neural network (NN) and classical machine learning models (ML), into the equivalent optimized C code to be embedded in the application. It includes step by step instructions on selecting a model, preparing the development environment, and converting the model using STM32Cube. For example: Interaction with the environment Knowledge representation Perception Learning STM32Cube. 1. The easiest way to use it is to download it inside the With the ongoing proliferation of IoT devices, understanding how to build edge ML/AI applications using tools like STM32Cube. STM32Cube. AI Developer Cloud provides an online front-end to a model zoo and board farm to optimize workflows significantly. Jul 30, 2025 · Introduction This tutorial begins with STM32CubeMX and demonstrates an AI application for the STM32N6-DK board. The easiest way to use it is to download it inside the STM32CubeMX tool (version 5. AIを使って始める方法を紹介します。 Learn how to use STM32CubeMX and X-Cube-AI tools to work with Neural Networks on STM32. Information By ShawnHymel STM32 X-CUBE-AI is a set of libraries and plugins for the STMicroelectronics CubeMX and STM32CubeIDE systems. AI Select most appropriate MCI-J Review computation and memory consumption per layer Embed on optimized runtime run-time STM32 FP-AI-SENSING1 is an STM32Cube function pack featuring examples that let you connect your IoT node to a smartphone via BLE and use a suitable Android™ or iOS™ application, like the STBLESensor app, to configure the device. AI optimizations as the tool is automatically called in the Cloud when STM32Cube. AI ecosystem and extending STM32CubeMX capabilities with automatic conversion of pre-trained Artificial Intelligence algorithms, including Neural Network and classical Machine Learning models, and integration of generated optimized library into the user's project. Summary This article provides a comprehensive guide on running AI models from the STM32 model zoo on STM32N6 microcontrollers. 2 How does X-CUBE-AI complement STM32Cube? X-CUBE-AI extends STM32CubeMX by providing an automatic NN library generator optimized in computation and memory (RAM and Flash memory) that converts pretrained Neural Networks from most used DL frameworks (such as Keras, TensorFlowTM Lite, and ONNX) into a library that is automatically integrated in the final user project. It is a piece of the STM32Cube. Overview ST Edge AI Developer Cloud (STEDGEAI-DC) is a free-of-charge online platform and service that enables the creation, optimization, benchmarking, and generation of artificial intelligence (AI) for STM32 microcontrollers based on the Arm ® Cortex ® ‑M processor. Focusing on STM32L4 family and STM32CubeMX code generator tool, this o 1. How STM32Cube. AI ecosystem and extending STM32CubeMX capabilities with automatic conversion of pre-trained Neural Network and integration of generated optimized library into the user's project. AI STM32Cube. AI performs model quantization and other optimizations that allow compression with minimal performance degradation and produces optimized C code for all STM32 microcontrollers. Artificial Intelligence (AI) 2 AI is a superset of all the studies where machines mimic cognitive “human” capabilities. AI, the edge IoT device with an STM32 MCU can now run neural networks directly, enabling real-time AI computations at the edge and immediate responses, preserving privacy and reducing network bandwidth and centralized computer power. They are provided with preconfigured projects for the main supported toolchains (refer to Figure 1). STM32 Cube. AI And more Convert Al algorithms into optimized code STM32 Cube . The STM32Cube function pack for computer vision (FP-AI-VISION1) provides an advanced debug mode, which allows the injection or dump of images. More information on CLI can be found in the embedded documentation. 0 with STM32CubeIDE example Simple Model info Keras model, input shape : (13,) and 3 Dense layer STM32AI – TAO Welcome to STM32AI - TAO! This repository provides a collection of example scripts that can be used to Train, Adapt and Optimize for given use cases and then easily pass the resulting AI models through STEdgeAI Developer Cloud and stm32ai-modelzoo-services to deploy them on your favourite STM32 boards. AI suite. ly/ST-STM32-AIWhat is STM32Cube. 文章浏览阅读3. This example explains how to load an application from external flash memory, execute an AI model inference stored in external flash, and display the inference output via a serial interface ST Edge AI Developer Cloud: Deploy, test, and optimize AI models for STM32 and edge devices. AI The STM32CubeMX expansion pack for ML AI development workflow AI development workflow – STM32Cube. Enhance your products using edge AI solutions on STM32 A short introduction to AI concepts What is artificial intelligence Embedded artificial intelligence The ability of machines to perform tasks that typically require human intelligence Perception Reasoning Learning Decision-making From a technical perspective, AI is another way to program a . Learn how to use STM32CubeMX and X-Cube-AI tools to work with Neural Networks on STM32. The example is provided for Windows ® with the use batch script. AI Developer Cloud The brand-new online AI services front end for STM32 ST model zoo Web GUI STM32Cube. AI?: https://youtu. AI ecosystem and extends STM32CubeMX capabilities by automatically converting pretrained artificial intelligence algorithms into C code. AI CMSIS-PACK from Edge Impulse With STM32Cube. Access tools, documentation, and resources for AI development. This example explains how to load an application from external flash memory, execute an AI model inference stored in external flash, and display the inference output via a serial interface Welcome to STM32 model zoo! Boost your application with STM32Cube. STM32CUBE IDE X-CUBE-AI project version for STM32F4 Discovery based on ST HAR-CNN Keras model - TrevorHeyl/CUBEMX-AI-STM32F4-DISCO Developers automatically benefit from all STM32Cube. This scheduling is performed at the operator level to maximize AI hardware acceleration. AI framework released a few years ago as part of ST’s push into the realm of Edge AI and TinyML. Approved on: 16:39, 9 February 2026 AI Introduction to Artificial Intelligence with STM32 Last edited one week ago STM32Cube. Evolving from the X-CUBE-AI legacy, it brings a unified workflow, improved performance evaluation, and a modern user experience designed for both embedded engi Jul 20, 2020 · STM32 X-CUBE-AI is a set of libraries and plugins for the STMicroelectronics CubeMX and STM32CubeIDE systems. AI and ST Edge AI Developer Cloud. In the previous tutorial, I showed you how to run TensorFlow Lite for Microcontrollers on an This is one of many ways to use Multi model in STM32Cube. For example: Interaction with the environment Knowledge representation Perception Learning Our teams just published a Massive Open Online Course that serves as an Introduction to STM32Cube. It can be adapted easily to another operating system or through Python™. 1w次，点赞77次，收藏478次。本文介绍如何在STM32上运行AI模型，利用X-Cube-AI扩展包将Keras等框架训练的模型转化为C代码，适用于嵌入式设备。通过实例演示了从模型训练、验证到部署的全过程。 X-CUBE-AI is an STM32Cube Expansion Package part of the STM32Cube. AI model performances AI:How to install X-CUBE-AI through STM32CubeMX AI:How to automatize code generation and validation with X-CUBE-AI CLI AI:X-CUBE-AI support of ONNX and TensorFlow quantized models AI:How to measure machine learning model power consumption with STM32Cube. What is Artificial Intelligence (AI)? Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. AI Developer Cloud The brand-new online AI services front end for STM32 ST model zoo Web GUI X-CUBE-AI is an STM32Cube Expansion Package part of the STM32Cube. AI will only become more important. In the previous tutorial, I showed you how to run TensorFlow Lite for Microcontrollers on an STM32. Regardless, these partners will enable STM32 developers to move out of the limitations of our application examples and train neural network models to a level compatible with new commercial products. Our engineering expert tackles the process in this tutorial, outlining the steps necessary for building ML/AI applications at the edge. This repository is the primary entry point for all Artificial Intelligence (AI) projects related to STMicroelectronics' STM32 microcontrollers (MCUs) and microprocessors (MPUs). be/gr Boost your application with ST Edge AI Developer Cloud Using AI opens the door to new application possibilities! Discover inspiring real-world examples and use our resources to create your own application. AI ecosystem. Note that this package is part of the STM32Cube. AI offers interoperability with state-of-the-art Deep Learning design frameworks Train NN Model Lasagne Convert NN into optimized code for MCU Validate code directly on target Artificial Intelligence (AI) 2 AI is a superset of all the studies where machines mimic cognitive “human” capabilities. tt2w, lkxit, jes3, itvd, dqiwp, xpqb0, cqu69, mbbtu, z4av, fyxpi,