 My name is Ling Lim. I lead the commercial architecture and technology solutions at HP. Our team designs a broad portfolio of commercial devices including commercial PC, thin client, mobile workstation, retail, education and accessories such as docking. One of the goals of our team is to lead in PC innovations through intelligence and contextual awareness. And SCMicro is a strong strategic partner to innovate with us because of their leading edge sensing technology and strong presence in this space. Using SCMicro's IMU or Inertial Measurement Unit with an embedded machine learning core, we designed our industry leading motion AI on table and on lap auto sensing modes for the new hybrid mode of work. Post COVID, many of our customers will be returning back to work, switching between days in our office and days working remotely from home, bringing their PCs along as they shuttle back and forth. At home, they will be working from many different spots such as at the desk, on the couch or even in bed by tying SC's motion sensing with our device intelligent thermal and power management. Our intent is to provide flexibility, productivity and comfort to improve experiences for our customers, wherever they may choose to work or play. This is launched this year on all our Elite Book 1000 series. My name is Nick Thama and I'm the Lead Sensor Architect in the Commercial Architecture and Technology Solutions Group by integrating SC's latest IMU with an embedded machine learning core into our devices. Our engineering team at HPE worked with SC's experts to train and build an AI model for recognizing various user activities based on device and user motion. The activities that we focused the machine training on were around detecting a laptop sitting on a table, used on a user's lap, being carried inside of a bag and taken out of a bag. Various groups within HPE volunteered to conduct these activities to collect data for analyzing and understanding unique motion pattern which then were fed into a machine learning tool for creating an AI model specific to HPE devices. By detecting these activities, our PCs are now able to intelligently manage its thermals and power states for best comfort when using the PC off the desk and best battery life when on the go. I'm Simole Ferri, Director of Marketing for Mems in ST Microelectronics. ST is the leader in the age of AI, but we wanted to aim even higher and innovate to reach what we call global system efficiencies. That's why we embed machine learning core inside the Mem Center. I'm Denise Sanfilippo, Application Engineer in Mems Division at ST. The LSM-6DS-OX incorporates a block able to run AI inside the sensor. This block provides a neural binary tree in five simple steps. Capture data, label it, build a decision tree with free tools, embed it in your application and finally process your data in real time. This block actually runs artificial intelligence, enabling HP computers to understand when the user scenario changes. Thanks to this highly specialized hardware block, a neural binary tree can run with a power consumption that is the equivalent of sleep mode, generally speaking. Have you ever dream of AI at 12 microamps? Well, now you can live the dream. We work with HP experts to identify the specific patterns of interest and build the AI model to enable thermal and power management. The device is called LSM-6DS-OX and is an IMU integrating high-performance accelerometer and gyroscope. So, with a 12 microamp power budget, HP computers detect the off-the-desk context, enabling the application processor to stand by and save power for what really counts productivity and comfort, wherever you are.