Automating model design for edge AI

In a recent blog post on DeepGate, the author discusses advancements in automating model design specifically for edge AI applications. The article highlights the importance of neural architecture search (NAS) in optimizing AI models for deployment on edge devices, which often have limited computational resources compared to traditional cloud environments. This new approach aims to streamline the model design process, making it more efficient and accessible for developers working in edge AI. For more details, you can read the full article here.