 and okay so let's move on as you see so Basel explained the demo with time of light here we have the solution also with HAI studio showing some predictive maintenance with sensors and I would love to introduce you to PR which is one of the fathers of the solution absolutely so should I look at the demo should we have a look at the demo let's go so this is Nanowaiji studio so this is a software solution by ST that is targeted for embedded developers and it's for developers who like to develop a solution including smart features like AI machine learning but without specific knowledge in machine learning so the idea is that you use signal examples coming right from your sensor raw signal examples and then you use them to find the best possible AI library that is specific the best specific solution for your application and what is exciting about the solution is that it enables embedded learning so you can learn patterns and recognize them directly from within the microcontroller which is something very unique on the market so here we're doing anomaly detection using current monitoring here we're doing anomaly detection using vibration sensing so it can be used with any sensor it's compatible with all STM32 boards and it's also compatible with the ISPU board which is a MEMS sensor so in those types of applications we're in the edge we're running embedded AI in the microcontroller but here we're pushing it even further by embedding ML learning capabilities directly in the sensor itself so you know that every time you're getting closer to the data it cuts the costs so it's a huge breakthrough in the industry okay thank you we can continue with our customers have a good show