 Hello everyone and welcome to Embedied World. Today, I will show you some exciting case studies created thanks to our latest solutions. I won't tease you anymore, just follow me. On this first demo, we want to show you how our microcontrollers can help you solve complex problems. Today, predictive maintenance is one of the biggest challenge in the industry. And reaching high-performing, generic, and optimized solution can be complex for developers. Most of the time, a ton of data is sent to a greedy cloud or a gateway, which then try to process it. Here, with Nano-IGI Studio, we have implemented, in a matter of minutes, a smart library running locally on the ultra-low-power microcontrollers. It is capable of learning the behavior of the pump to detect any drift in the vibration generators and then prevent any failure. No, if I use this fine-tuned algorithm on a similar pump, even if they are super-submissibular, the environment is changing. The sort of performance of the detection won't be adequate. This is the advantage of Nano-IGI Studio, which enables scalability to many pumps. As you can see here, I just need to launch a new learning session, and there you go. Your system is monitored, and only relevant data is sent through your favorite communication protocol. Let's have a look to this other case, this time not a pump, but a motor. We can go a step further and not only detect anomalies, but also classify them to provide meaningful information to the maintenance guys. Here, the detection of the anomaly and the classification are made on a very deep edge, on the motor itself. So we are saving a lot of energy and cost by processing the signal directly on the microcontroller, and outputting only the meaningful information. Then you can organize the rest of the system without any constraints. So who say that maintenance was only for industrial? We can apply such solution to many different applications, like air conditioner, washing machine, e-bike, and so on. Taking consumer products, for example, here is another exciting use case. Actually, we are using the current to determine precisely the volume of the clothes in the washing machine with a higher accuracy than standard methods and without any sensors. In this way, the washing cycle can be optimized, water and energy are saved, and the planet is happier. Let's stay in the house and have a look at tomorrow's vacuum cleaner robots. Thanks to ST time of flight sensors and machine learning models, we are capable of detecting accurately the different types of surface to, once again, optimize the cleaning cycles. Gesture reconnection is used more and more to control objects without touching or at distance. Air conditioner, light sketching tool, and so on. The power of AI for this type of application is being able to manage complex algorithms locally, enabling us to preserve people's privacy and avoid reliance on remote services. These demo were only a few examples of what we can achieve today with the development of new technologies like AI. At ST, we want you to be able to use these technologies in an easy and optimized way. And we think that AI running on our S-Semphony 2 can enhance a wide variety of applications. And with our tool and ecosystem, anybody can access to the technology.