Overview
Sample & Buy
Solutions
Documentation
Tools & Software
Quality & Reliability
eDesignSuite
Get Started
Partner products
Sales Briefcase
  • X-CUBE-AI is an STM32Cube Expansion Package part of the 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. The easiest way to use it is to download it inside the STM32CubeMX tool (version 5.0.1 or newer) as described in user manual Getting started with X-CUBE-AI Expansion Package for Artificial Intelligence (AI) (UM2526).

    The X-CUBE-AI Expansion Package offers also several means to validate Neural Network models both on desktop PC and STM32, as well as measure performance on STM32 devices without user handmade ad hoc C code.

    Key Features

    • Generation of an STM32-optimized library from pre-trained Neural Network models
    • Native support of various Deep Learning frameworks such as Keras, TensorFlow™ Lite, Caffe, ConvNetJs and Lasagne, and suppport of all frameworks that can export to the ONNX standard format such as PyTorch™, Microsoft® Cognitive Toolkit, MATLAB® and more
    • Supports 8-bit quantization of Keras networks and TensorFlow™ Lite quantized networks
    • Allows the use of larger networks by storing weights in external Flash memory and activation buffers in external RAM
    • Easy portability across different STM32 microcontroller series through STM32Cube integration
    • Free, user-friendly license terms

Get Software

Latest from ST

All tools & software

    • Part number
      Status
      Description
      Type
      Supplier

      STM32CubeMX

      Active

      STM32Cube initialization code generator

      STM32 Configurators and Code Generators ST
      STM32CubeMX

      Description:

      STM32Cube initialization code generator
    • Part number
      Status
      Description
      Type
      Supplier

      OpenMV Cam

      Active

      The OnpenMV Cam H7 is a small, low power, microcontroller board which allows you to easily implement applications using machine vision in the real-world.

      Components and Modules OpenMV
      OpenMV Cam

      Description:

      The OnpenMV Cam H7 is a small, low power, microcontroller board which allows you to easily implement applications using machine vision in the real-world.
    • Part number
      Status
      Description
      Type
      Supplier

      FP-AI-SENSING1

      Active

      STM32Cube function pack for ultra-low power IoT node with artificial intelligence (AI) application based on audio and motion sensing

      STM32 ODE Function Pack SW ST

      FP-AI-VISION1

      Active

      STM32Cube function pack for high performance STM32 with artificial intelligence (AI) application for Computer Vision

      STM32Cube Expansion Packages ST
      FP-AI-SENSING1

      Description:

      STM32Cube function pack for ultra-low power IoT node with artificial intelligence (AI) application based on audio and motion sensing
      FP-AI-VISION1

      Description:

      STM32Cube function pack for high performance STM32 with artificial intelligence (AI) application for Computer Vision
    • Part number
      Status
      Description
      Type
      Supplier

      Deep Learning with TensorFlow (Python/R)

      Active

      In our deep learning training you will learn how to use Google's machine learning framework TensorFlow to develop neural networks and other deep learning models in Python and R.

      Trainings STATWORX
      Deep Learning with TensorFlow (Python/R)

      Description:

      In our deep learning training you will learn how to use Google's machine learning framework TensorFlow to develop neural networks and other deep learning models in Python and R.