AI at the Edge: Machine Learning in Embedded Systems

Presented by

Andreas Burghart, Senior Product Manager; Digi International

About this talk

There is an explosion of interest in adding artificial intelligence (AI) and machine learning (ML) capabilities to embedded systems. But how can you take advantage of the most promising opportunities in AI and ML? In this webinar, Digi cuts through the hype and discusses real-world benefits, applications and use cases. You’ll get an overview of available hardware and software development tools, and a practical guide for getting started with AI at the Edge. In this informative, one-hour webinar, you’ll learn: • Why AI and ML are especially beneficial in edge computing environments • How Google’s new Coral AI toolkit can be used in products based on the Digi ConnectCore® 8M Mini system-on-module (SOM) • How voice recognition capabilities broaden the appeal and marketability of new products, and how to include them in your design • How the choice of SOM can affect the scalability of new product designs • How the Digi ConnectCore® portfolio lets you choose the capabilities — and the price point — to fit your needs We will also discuss the growing range of use cases and applications where new AI and ML capabilities will be important differentiators in the most successful product designs.

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