 Oh, I'm Priyanka Sikkimar. I work as a product manager in Silicon Labs. And today, we will be demonstrating our indoor positioning system using Bluetooth, which is developed by ourselves. So as you can see, we have four of our antenna arrays, which are mounted on top, which are our Silicon Lab reference designs. And we have our own BG22 SoC, which is ultra low power and low cost, which can be used for indoor track as a tracking. So what we're going to demonstrate here is how we can achieve sub 1 meter accuracy using our solution. So if you can look at the screen, we're tracking this table, which is around 1.4 meters. And as I move the acetone across the table, you can see how we achieve the accuracy. It's also three-dimensional, so we can also track the elevation angle using our solution. Nice. Do you need to have this configuration for the work? Yes, so we have four of it mounted. So how it works is that our asset tag, it sends the signal to the antenna arrays. And the IQ samples are sent to the RTL library, which is at the moment running on our computer. And so the RTL library, the algorithm running there, helps to compute the position of the tag. Is this fully in the market? Yes. You can buy this stuff? Yes. So our new antenna array board was launched on Monday. So if you go to a silicon lab slash direction finding website, you can actually buy the antenna array. And our asset tags are also publicly available. So it's called BG22. So both of them are available. You can buy the whole evaluation kit and you can try it out yourself. We also have our simplicity studio, which is free. You can download it and you can run our sample apps and you can get the whole solution working. Nice. And it's fun to work with this stuff. Yes, absolutely. All right. Engineers helping them to get ML project to market much faster, much easier, without a high effort. Here we are showing the machine learning model running on the silicon labs, a EFR32 MG24 microcontroller, which is a pretty low-powerful, low-power and very high-performance. It embeds MVP processor to speed up the machine learning operations. So we can get a very high performance over the machine learning applications. Like here, we are doing object detection over the image data from the camera. Processing single frame takes about 100 milliseconds, which is a very good result, taking care that the microcontroller is only 78 megahertz with 256 kilobytes of RAM. This small development kit is very powerful. It's a microcontroller. This small microcontroller has a lot of sensors on the board. There are microphone, IMU, environmental sensors. So you can pretty easily start your journey with a machine learning application using also Edge Impulse as a tool. So what does the Edge Impulse company do usually? Do you know how much it does? Edge Impulse is providing software suite for developers so you can create your own application based on machine learning in very short time. For example, we have a lot of support for keyword-sporting ML models. So you can set up your own keyword-sporting project in 20 minutes capturing data training model, deploying into constrained devices like small microcontrollers in very few steps without we are providing a lot of additional tools that gives developers insight into their data so they can check the data for training model to see if they are good enough, if they need to improve, if there is not enough of data to train the model. On the deployment stage, they can get insight into the ready model, see whether it can be improved to reduce the footprint size or speed operations. Very powerful tool. All right, thanks a lot. Thank you. All right. So this is like a 3D interactive smart home demo. So kind of here you have standard house, different rooms and you can kind of go in and touch through different areas where you can add, so for your bathroom, smart toothbrush, blood glucose monitoring for people with diabetes, as well as insulin pumps. In the front entryway for security, you can tap it again. And see home security, motion sensor, doorbell cameras, door locks, home automation, LED bulbs, plugs, switches, climate control, your HVAC, shades and blinds, speakers for music and audio, smoke detection, carbon monoxide detection, and your refrigerator.