 Hello, and welcome to this series of STM32 FP AI Vision 1 video application notes. I'm Alan Ren. I will guide you through this series of videos. In this series, we will start with a brief introduction, followed with the overview of the FP AI Vision 1 function pack. Then we will take a look at the memory requirement and placement, as well as a performance and memory footprint. After that, I will show a demo of how to run a food recognition application using the QSPI external flash on the STM32 H747i Discovery board. And finally, some advanced features of embedded validation and testing. A brief introduction of STE microelectronics and our AI solution. As one of the world's largest semiconductor companies, STE has been actively involved in AI research topics. Thanks to the new set of AI solutions from STE, you now have the possibility to map and run the pre-trained neural networks on the broad STM32 microcontroller portfolio. You can use the power of deep learning to enhance signal processing performance and increase productivity in your STM32 applications. There are five key steps behind running neural networks on MCU's. First, capture data. Then, clean and label the collect data and build the network topology. Then, train the neural network with the data and convert the trained model into optimized code that running on MCU's. And finally, run the neural network on your device. Here are the last three steps. Normally, the training of neural network is done by data scientists or machine learning engineers. While the implementation on MCU is done by embedded engineers. And the STM32 QBAI is a convenient and efficient conversion tool in between. It is a bridge linking these two steps. Besides, QBAI is also an extensive toolbox to support easy creation of AI applications. We have examples for quick port typing, community support, various trainings, hands-on workshops, MOOCs, and partner videos, as well as STM32 AI partner program. Before we end this short introduction video, here are some useful resources that will help you to better understand the content of this video series. First, the QBAI landing page for STM32 AI solutions. You can go to www.st.com slash stm32 QBAI. Next, the user manual for FPAI Vision 1, UM2611. AI and a computer vision function pack for STM32 H7 microcontrollers. Most of the content of this video series are from this documentation. And finally, the user manual for XQBAI expansion pack. UM2526, getting started with XQBAI expansion package for AI. Thank you for your time. In the next video, I will give you an overview of FPAI Vision 1 function pack. See you in the next video.