AI Edge Processor Using RISC - V Instruction Set Architecture Design

The paper explores the design principles, architectural customizations and applications of an AI edge processor leveraging the RISC-V Instruction Set Architecture (ISA). It emphasizes pivotal features of RISC-V, illustrating its potential to revolutionize various sectors through its adaptability and efficiency. With AI increasingly integrated into edge computing, there is a pressing need for processors that can perform sophisticated computations at the edge with minimal latency and energy consumption. The modular and open-source ethos of RISC-V provides a robust foundation for such specialized hardware. This study delves into the detailed design and practical implementation of AI edge processors using RISC-V, highlighting their transformative impact on industries.