Hi, thank you everyone for coming. We're here at CS on the SD booth. My name is Wigabama, Product Marketing Engineer for SD in the AI Group. Our first demo of the day for AI is going to be this demonstration using a time-of-flight sensor to actually do gesture recognition. So here we can control a small setup and identify with different gestures. So here I can speed up the fan, decrease the fan, turn on the light or stop everything. This is all the new illustration of an actual application, an actual real-world use case that STS had that we put together in the form of a demo. What we're trying to put forward is the fact that ST enables you to create your own solutions with ST sensors, with other sensors, with... On any STM32, this is running on Net4One. You can run this on the low end high end macro controller. ST has a full website dedicated to the tools and solution around machine learning and AI. So in that case, you can retrain either the dataset with the original data that STS collected, this is an example dataset, not meant for production, or import your own data. And to retrain from scratch, to have your own gestures, different gestures, just taken in different conditions. This is the goal is to make it as easy for you to test, develop and then deploy those solutions to mass markets. You can find all that you want at STM32.ai.st.com. Thank you very much. .