Resistive Memory-based Analog Neural Differential Equation Solver for Efficient Score-based Diffusion Modeling

A time-continuous and analog in-memory neural differential equation solver using resistive memory achieves remarkable enhancements in generative speed and energy efficiency for both unconditional and conditional score-based diffusion tasks, compared to digital hardware.