A Comprehensive Survey on Reconfigurable Hybrid Neural Networks for Edge-AI SoCs in Biomedical Applications: From Fundamentals to the Frontier
The proliferation of Edge-AI in personalized healthcare has driven significant demand for energy-efficient Systems-on-Chip (SoCs) capable of executing high-accuracy, real-time disease detection. Conventional accelerator architectures struggle to simultaneously accommodate disparate AI models. Specifically, memory-inten...