 Welcome to Prague, the city of a hundred spires and thank you William for this amazing overview of ST's Matter Stack and the new STM32WB module. Clearly, today is about making the STM32 ecosystem more accessible. That's why I want to talk to you about the two new exciting initiatives around our STM32Q software ecosystem. The first is a significant upgrade to the STM32 developer zone. Why? Because you want to meet the needs of developers as they work on new applications by bringing richer content and improved user accessibility. The second is the launch of the STM32Q.AI developer cloud to make machine learning a lot more practical for developers, whether it's your first project or you have years of experience under your belt. Let's talk about the first. We are so excited to be launching a new version of the STM32 developer zone. It adds a dedicated MPU section, a quick project start guide and shortcuts to the most popular tools. Put simply, the new STM32 developer zone brings a more user friendly and easy to navigate user experience that reflects the way developers approach their applications. That's why we updated the developer zone to provide a new approach to our solution based on application and use cases. Instead of just listing the software packages and tools available, we provide a starting point and building blocks for users who need to have an overview of what their project will require. Besides the new user experience, the STM32 developer zone will continue to reflect the frequent updates coming to the STM32Q ecosystem. For instance, we are working on bringing free RTOS to the STM32U5 and the developer zone will show that. As of today, we already provide Azure RTOS in the QubeU5 firmware package. Another example is that the STM32 developer zone will also promote an official Visual Studio Code extension. It leverages building, programming and debugging features so developers can use VS Code as an additional IDE option. The other initiative making the STM32Q ecosystem more accessible and practical is STM32Q.ai developer cloud. For those who may not be familiar with it, Qube.ai is a solution we launched in 2019. It converts a pre-trained neural network the algorithms used for artificial intelligence into optimized code for STM32 developers. That's why Qube.ai makes it easier to create machine learning applications on embedded systems. And now, Qube.ai developer cloud provides a new front end to make the entire STM32Q.ai solution more practical by offering one benchmark data and two a neural network zoo. That's right, we are so excited to announce that the new developer cloud features a board forum with most of the STM32 development boards used for machine learning applications. As a result, Qube.ai developer cloud is able to take a pre-trained neural network and launch a simulation on the entire board forum to show how the model would behave on each system. Can you imagine? Developers don't have to acquire all the boards themselves and run a long series of benchmarks. They can immediately gauge which platform has the best performance per cost ratio for their use case. We even developed rest APIs. Developers can therefore test their network against our board forum right from their development environment without needing the use of the web interface. Another feature of the STM32Q.ai developer cloud that we think will change how you work is the STM32 model zoo. The STM32 model zoo recommends a series of models for various applications and use cases. Hence, engineers who know how to train a network and already have a dataset can get a series of network topology recommendations to avoid running into issues like memory limitations or poor performance. It is even possible to use the model zoo with the board forum to test various topologies during the prototyping phase. We just saw two new major initiatives making our STM32Q ecosystem much more accessible and practical. The developer zone meets engineers wherever they are in their journey and the Qube.ai developer cloud makes industrial AI more accessible to the entire embedded system community by guiding them in their choice of model and development board. Another thing STM32 developers will find a lot easier to tackle is the process of optimizing for power consumption. It's not enough to build a great app. Embedded applications must also be energy efficient. And to help with that, we have an amazing new tool. To learn more about it, let's talk to Manuel in Italy. Manuel, take it away. Hoala in Asfidenia.