STM32 software tools

  AI is gaining incredible momentum, and it is making its way into the very heart of our embedded systems. This field, which we call edge AI, brings machine learning capabilities directly onto microcontrollers, microprocessors, and smart sensors. While specialized chips like the STM32N6 series can run complex AI tasks, general-purpose STM32 microcontrollers are also capable of handling many applications, especially those involving time-series data from sensors. Your STM32 is AI-ready The data captured by sensors from vibration, current, or environmental monitoring represents an excellent opportunity to enhance your projects. By embedding a small AI model in your microcontroller, you can enable your device to perform intelligent monitoring, anomaly detection, or data interpolation locally. This adds significant value and can be implemented across the STM32 portfolio, from the ultra-low-power STM32U3 series and the mixed-signals STM32G4 series, to the high-performance STM32H5 serie

We are pleased to announce the release of ST AIoT Craft V1.2, the latest update to our innovative web-based tool designed to accelerate AIoT (artificial intelligence of things) projects using ST’s smart sensors. Building on the success of previous versions, this release introduces a range of new features, most notably a powerful collaboration capability that makes AIoT development more connected, coordinated, and efficient. With the new project-sharing feature, you can now group multiple models and classifiers within the same project and share them with a defined group of users. This functionality simplifies coordination and helps maintain consistency across your AIoT initiatives. Additionally, dataset sharing enables multiple users to collect data collaboratively for the same model or classifier. This distributed data gathering improves model accuracy and simplifies data management across users.   Alongside enhanced collaboration, the new version of ST A

STM32Cube for VS Code deployment: a developer-centric approach This July update marks the first incremental update since the pre-release was published in May. STM32Cube for VS Code will follow an agile development approach with frequent, small updates. This strategy minimizes update risks and enables ST to respond to developer feedback rapidly, ensuring continuous improvement.  STM32Cube for VS Code is currently delivered as a pre-release. The pre-release version will soon be merged into the stable track.  To install it, select: Install pre-release version   What’s new in the July 2025 update  #1 Live data watch  This feature is one of the most appreciated in STM32CubeIDE. The latest update of STM32Cube for VS Code provides a first version of the live data watch capability, which allows users to:  monitor any type of data object in real-time.  keep monitored variables across debug sessions.    The live expression feature is set up insid

We’re pleased to announce OpenSTLinux 6.1, now with M33-TD support, enabling you to leverage the Cortex®-M33 core as a trusted domain (TD) boot processor. This release provides a unified ecosystem and contributes to the 5-year maintenance commitment for all STM32 MPUs in production, ensuring your products are built on a stable, long-term software foundation. What’s new? 1) Offload early boot processes to Cortex®-M33 Reduce startup load on Cortex®-A35 cores by delegating initial boot processes and security checks to the Cortex®-M33. Enables faster, more efficient boot sequences and lower power consumption. 2) Improved boot time & system efficiency Boot critical early tasks on Cortex-M33 before going on with Cortex®-A35 start up. Optimizes overall system startup time and resource usage. 3) Enhanced security through isolation Keep secure services on the Cortex-M33 isolated trusted domain. This isolation strengthens the protection of secure boot applications ag

This preview allows you to explore the new HAL2, providing valuable insights into the improvements we are making to simplify and optimize your development experience.  We highly encourage you to share your feedback through our dedicated channels. Your input is essential to help us refine HAL2 and ensure it meets your needs before its official release.  How to access the preview  The preview version of STM32Cube HAL2 for the STM32U5 series is available on the GitHub repository STM32CubeU5-V2-Preview.  What is coming with the updated HAL2  HAL2 expands the features of the previous HAL to enhance developer journey. It offers improvements in the following areas:  Performance and footprint  Portability across the STM32 portfolio  Integration with multiple RTOS  API user-friendliness and usability   For instance, these improvements include:  The split of the initialization API into two for grea

We are pleased to announce the release of TouchGFX 4.25.0, a significant update packed with new core functionalities and numerous bug fixes to enhance your development experience. Here’s a glimpse of what’s new: LTDC-driven display: emulated framebuffer This major feature introduces memory savings by using the MCU’s memory instead of external RAM. By allocating memory for only a subregion of the display and synchronizing between the LCD controller and graphics framework, full screen storage is unnecessary. This is ideal for static UIs but may require adjustments for animations to avoid screen tearing. Check out the blog article and the dedicated page in our documentation. Bitmap font compression TouchGFX 4.25.0 introduces bitmap font compression, which can drastically reduce flash usage for applications with extensive font usage. You can enable 4Bpp bitmap font compression in the Designer under the Typography tab in the “Text” menu and configure the “Compressed Font Cache Size” in the

ST AIoT Craft revolutionizes the way that you develop edge AI and IoT solutions, with a seamless approach to real-time or offline dataset creation and management, and generation of AI algorithms for the machine learning core (MLC) technology inside MEMS sensors. Experience a no-code environment leveraging AutoML to effortlessly build machine learning models based on decision trees for inertial MEMS sensors. You can validate model performance directly on hardware sensor nodes via intuitive web and mobile apps, guaranteeing real-world reliability. ST also provides reference designs and components to help you explore and evaluate use cases and proofs-of-concept for your innovations, along with project and model management functionality to help you streamline development and reduce time-to-market. Edge AI classification results can be used in end-to-end applications thanks to the ability of ST AIoT Craft to deploy and configure sensor nodes, gateways, and cloud data ingestion resources. Th

Digital power is transforming the way we design and manage power supplies, offering unprecedented efficiency, flexibility, and control. ST is leading this transformation with cutting-edge solutions and comprehensive support to help engineers fully leverage digital power. Benefits of digital power Digital power technology integrates MCUs into power supply designs, enabling advanced features such as: Enhanced efficiency: optimize power conversion and reduce energy losses Precise control: implement sophisticated control algorithms for better performance Flexibility: easily adapt to different applications and requirements Real-time monitoring: continuously monitor and adjust power parameters for optimal operation ST digital power ecosystem ST offers a comprehensive digital power ecosystem centered around the STM32 family of MCUs, providing all the tools and resources needed for successful design and implementation. STM32 MCUs: high-performance MCUs with advanced peripherals tailored for

Are you ready to enhance your user interface design? Implementing screen transitions is a crucial aspect of creating a seamless user experience, and we're here to make it easier for you. That's why we created our latest video, "How to TouchGFX: screen transitions and performances", to guide you through implementing screen transitions effortlessly using TouchGFX. What you'll learn Adding screen transitions: whether you prefer using the TouchGFX Designer or coding directly, we've got you covered. Four unique transitions: dive deep into Slide, Cover, Wipe, and Block transitions. Performance optimization: essential tips to ensure your transitions are efficient. Why watch this video? By the end of this video, you will be equipped with the knowledge to seamlessly integrate screen transitions into your projects, choose the right transition, and test its performance, enhancing both functionality and aesthetics. Watch our latest video. Don’t miss out Explore our other videos to fur

We are pleased to announce the release of TouchGFX 4.24.1, which includes bug fixes and improvements to enhance your development experience. TouchGFX Designer improvements Enhanced project updater: The project updater now seamlessly updates STM32CubeIDE projects created with STM32CubeMX v6.12.0 and above. This enhancement ensures compatibility with the latest STM32CubeMX updates, providing a better experience for our users. We are pleased to have addressed the specific issues mentioned in the community threads here and here. Optimized 'Images' tab: We have refined the 'Images' tab to eliminate warnings when using an 8 bits per pixel framebuffer, particularly in the compression column. VectorFontRenderer enhancement: We have resolved a minor error in the VectorFontRenderer code when using a 1 bit per pixel framebuffer, ensuring more reliable and accurate font rendering. TouchGFX Core enhancements Improved font converter: The font converter now efficiently handles fonts with more than