Take your edge AI projects and solutions even further with our advanced features workshop. In this webinar, you will learn about the latest, most powerful capabilities of Edge Impulse such as enhanced model tuning and optimization, new deployment options, BYOM (bring your own model), visual anomaly detection, and more. Throughout this workshop, you’ll learn how to manage machine learning for the edge, including data pipelines, signal processing, ML training, model testing, and creating a deployable model that can run efficiently on any edge device, from MCU to MPU to GPU.
Join the workshop, “Unlocking Edge AI: Advanced Features of Edge Impulse”, and learn from Edge Impulse lead engineer Louis Moreau, connect with other developers, and get your questions answered.
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Louis started his career developing a low-power and GPS-based IoT solution to protect rhinos in an African conservancy. He is now leading the Developer Relations team at Edge Impulse. When not hacking hardware or automating tasks, you can see him riding an electric skateboard in Lille, northern France, or scuba diving in tropical islands.
Jim Bruges is a seasoned Solutions Engineer at Edge Impulse, a company leading the charge in Edge AI innovation. Working with customers across industries including healthcare, industrial IOT, wearables and more, Jim has seen how Edge AI can be brought into today's products to provide valuable insights and meaning to the data these devices produce. By applying his previous experience in a wide range of engineering disciplines, including 4 years at Dyson, he advises clients about AI at the Edge and is an expert in Edge use-cases.
Jenny Plunkett is a software engineer, technical speaker and content creator, working as a Senior Developer Relations Engineer at Edge Impulse. Since graduating from The University of Texas she has been working in the IoT space, from customer engineering and developer support for Arm Mbed to consulting engineering for Pelion IoT. Jenny is co-author of the O’Reilly book "AI at the Edge: Solving Real World Problems with Embedded Machine Learning".
Jenny Plunkett is a software engineer, technical speaker and content creator, working as a Senior Developer Relations Engineer at Edge Impulse. Since graduating from The University of Texas she has been working in the IoT space, from customer engineering and developer support for Arm Mbed to consulting engineering for Pelion IoT. Jenny is co-author of the O’Reilly book "AI at the Edge: Solving Real World Problems with Embedded Machine Learning".
Jenny Plunkett is a software engineer, technical speaker and content creator, working as a Senior Developer Relations Engineer at Edge Impulse. Since graduating from The University of Texas she has been working in the IoT space, from customer engineering and developer support for Arm Mbed to consulting engineering for Pelion IoT. Jenny is co-author of the O’Reilly book "AI at the Edge: Solving Real World Problems with Embedded Machine Learning".