One of the biggest challenges embedded engineers face is utilizing powerful AI models that are often too big or power hungry for tiny embedded devices. AI at the edge means faster insights, lower latency, and improved privacy. And guess what? Embedded engineers are the key to making it happen.
This is a companion discussion topic for the original entry at https://www.edgeimpulse.com/blog/7-tips-for-optimizing-ai-models-for-tiny-devices