ST is unveiling STM32 Hotspot today on GitHub, which comprises repositories developed by ST employees for demos or example features that are not part of the official ST GitHub page or the traditional STM32Cube ecosystem on ST.com. Developers now have access to more code examples to help them implement a significantly broader range …

It’s by trying to make classrooms in Germany safer during the COVID-19 pandemic that XoverIoT, an ST Authorized Partner, discovered it could reach an entirely new market. By adding a Sigfox module to its existing carbon dioxide detector, the design house realized that many simply didn’t have the expertise, time, or willingness to do …

An STM32WL microcontroller running a gas sensor powered by the sun could be the most effective solution to the early detection of wildfires. The question remains whether countries and companies will invest in it. The unique ecosystem at the heart of this approach is Silvanet by <a title="Ultra Early Wildfire Detection | Dryad …

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After reading “Developing a Wearable Internet of Things (IoT) Platform for Gait Classification” two questions come to mind: is there a better way to teach electronics engineering, and should we start earlier? The fascinating paper was written by Kavin …

ST is announcing today new versions of STM32CubeProgrammer, STM32CubeMonitor, STM32CubeMonitor-RF, and <a href="https://www.st.com/en/development-tools/stm32cubemonucpd.html" title="STM32CubeMonUCPD - …

TouchGFX 4.20 is now available for download. With this version, we aim to help developers share their creations with their teammates and with the world better. Indeed, we are now offering a way to export custom containers. Designers will thus have …

The STM32WL recently received support for Acklio’s SCHC embedded libraries, enabling engineers to benefit from the new compression and end-to-end communication over IP on a LoRa network. The ST Authorized Partner provides reference implementations based on ST’s …

STM32Cube.AI v7.2, released recently, brings support for deeply quantized neural networks, thus enabling more accurate machine learning applications on existing microcontrollers. Launched in 2019, STM32Cube.AI converts neural networks into optimized code for STM32 MCUs. The solution relies on <a title="STM32CubeMX …