Abstract: SRAM CIM macros have been developed to enhance energy efficiency (EF) in edge-AI applications. However, most research has predominantly focused on inference [1]–[6], with relatively little ...

Abstract: Floating-point representations enable finer granularity of computations, improving the overall accuracy of ML models. Approximate computing techniques using variable bit-width can be ...