Artificial intelligence ecosystem for STM32

Artificial intelligence ecosystem for STM32

Overview
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AI Solutions
Videos
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Discover how to use STM32Cube.AI
Discover how to use NanoEdge AI Studio

“Edge AI” will quickly become the standard thanks to a decisive advantage: via the Machine Learning functionalities embedded in a microcontroller, manufacturers can analyze and interpret data locally. This allows them to eliminate latency in terms of decision making and can act quickly and securely because the data remains on the periphery and does not need to be transmitted to the cloud. Processing and analysis are performed in a very energy-efficient microcontroller, whereas architectures that use neural networks pre-trained on servers are still very energy-intensive.

- Gartner Group

Solutions offering

ST’s AI solutions rely on a wide range of software packages and hardware components based on our STM32 large Ecosystem

Software Packages

Download these packages to rapidly develop your AI Solutions on any STM32

Software Development Tools

Function packs are available to help jump start your STM32Cube.AI and NanoEdge AI Studio project

MCUs Embedded Software
WIRELESS CONNECTIVITY SOFTWARE

Hardware and Tools

AI solutions are fully integrated with the complete STM32 portfolio and leverage various development and evaluation boards. By choosing one of ST's microcontrollers & microprocessorsfor your embedded application, you leverage our leading expertise in scalable computing architecture, silicon technology, wireless state-of-the-art IPs and software stacks, embedded real-time and application software, multi-source manufacturing and worldwide support.

ST's wide-ranging microcontroller product portfolio spans robust, low-cost 32-bit Arm®-based Cortex®-M microcontrollers with a comprehensive choice of peripherals. Its breadth ensures that design engineers will find the mix of performance, power efficiency and security that is required by their application.

From Ultra low power MCUs for time series analysis to high performance MCUs for more complex processing such as computer vision, including mainstream microcontroller and wireless MCUs to embed connectivity stack in your design, ST ‘s customers can now to target the right hardware solution for their AI use cases.

The highly affordable STM32 boards allow anyone to try out new ideas and to quickly create prototypes with any STM32 MCU.

Starter package

Creating an Edge AI device usually comes with extraordinary challenges. Some are related to skills shortages, others are purely technical or financial, and all of them combined, can make projects complex to tackle.

STMicroelectronics proposes dedicated offers to help you overcome these challenges and allow you to speed up your time to market. Thanks to our AI experts available to support you for your project, the wide range of education material and the qualitative partner ecosystem, ST ecosystem bring tailored support for your specific AI projects.

Edge AI Sprint

  • The Edge AI Sprint package was developed to help you build your prototype/PoC with limited risk and investment and maximum chance of success.
  • Content:
    • 2 Half days Education
    • Software license
    • Data preparation and analysis
    • Tech support
    • Q&A access to R&D

More information? Contact us