Getting Started Video with STM32Cube.AI (09:19)

Get started with STM32CubeMX software tool on the PC, through a simple example: displaying trace messages on the PC sent via an STM32 Nucleo board via its Virtual COM port facility.

Artificial Neural Network mapping made simple with the STM32Cube.AI (01:48)

The STM32Cube.AI is an extension pack of the widely used STM32CubeMX configuration and code generation tool enabling AI on STM32 Arm® Cortex®-M-based microcontrollers.

Getting started with STEVAL-USBC2DP (USB Type-C™ to DisplayPort™ adapter) (2:09)

The compact USB Type-C to DisplayPort adapter reference design, with USB Type-C connector and DisplayPort connector, exploits Alternate Mode of the USB Type-C and Power Delivery specifications to offer a comprehensive VESA® DisplayPort Standard interface.

ST Microelectronics STM32 Online Training (2:14)

Get in depth knowledge with STM32 microcontrollers On Line Trainings

STM32 boosting the HMI-of-things  (2:13)

More and more devices have complex graphical user interfaces - much like smartphones - and ST's range of STM32 microcontrollers has a host of features which can be leveraged on a huge range of devices. We are constantly innovating to give you the performance you need!

STM32Cube.AI Edge AI demo with Lenord + Bauer (5:26)

Lenord + Bauer offering predictive maintenance solutions designed with Neural Networks and mapped on STM32 microcontrollers thanks to #STM32CubeAI (Electronica 2018)

ST and Wizzilab your partners for IoT! (3:11)

In this video Michael Andre, CEO of WIZZILAB presents their products to us, a triple stack solution for LPWAN technologies, including Sigfox, LoraWan and the Dash7 alliance which leverages many products from STMicroelectronics. At WIZZILAB they believe that being able to upgrade the software on our IoT devices will be a critical functionality in years to come and shows us how easy it is to get started developing for your products and applications using WIZZILAB products.

Getting started with STM32L475 Discovery kit for IoT Node (11:12)

This video describes the main components and features of the B-L475E-IOT board and shows a typical use of this platform as an IoT node using AWS (Amazon Web Services) to demonstrate the interactions between that node and a cloud server to build an intelligent system. The focus is put on the MQTT messages exchanges in between the IoT node and a user through AWS IoT services. These messages contain sensors values and LED status and all the changes detected on the board.

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