Memristive In-Memory Computing for AI: Neural Network Acceleration, Adaptive Learning, and System Integration
Moving data between memory and processing units has become a major cost in neural network computing. Memristive crossbars address this cost by retaining model parameters as conductance states and performing parallel multiplication and accumulation within the array. This review examines how that physical operation is tr...