Core Aspects of Edge AI Implementation: Hardware Selection and Model Deployment
The implementation principle of Edge AI is to deploy artificial intelligence algorithms and models on edge devices close to the data source, enabling these devices to process, analyze, and make decisions locally without the need to transmit data to remote cloud servers. The goal of Edge AI implementation is to bring AI capabilities down to … Read more
