<ul><li>Edge computing and AI are essential technologies complementing each other's functionality.</li><li>The design approach must evaluate hardware, software, and energy requirement aspects, among others.</li><li>Dedicated AI chips improve the processing power for running AI algorithms on edge devices.</li><li>Industrial digital twins allow designers to experiment and analyze the impacts of design decisions.</li><li>Tiny AI, a new movement, aims to incorporate algorithms into specialized hardware, reducing computational requirements and achieving energy efficiency.</li><li>The edge device must be user-friendly and equipped with data encryption, administrator controls, and security measures.</li><li>Staying updated with industry events enables professionals to collaborate and explore new possibilities, such as the EdgeAI project.</li><li>Designers must record and document their processes, learning, and rationale for future reference and application.</li></ul>

How to Optimize Edge Devices for AI Processing

Discover more