Capacitive in-memory vector–matrix multiplication computing with charge-trap memcapacitors
Energy-efficient neural computing is increasingly limited not by computational throughput but by memory access and data movement. In-memory computing architectures offer a promising solution by collocating storage and computation, yet their practical realization remains constrained by static power dissipation, thermal...