Abstract:
Reservoir computing (RC), a computational paradigm inspired by the recurrent neural networks, offers a promising framework for efficient temporal processing with minimal training overhead. Hardware implementation of RC primitive requires devices that exhibit short-term memory, nonlinearity, and energy-efficient state-switching dynamics. While emerging non-volatile memory (eNVM) technologies have been explored as …