Analog acceleration of deep learning using phase-change memory - ScienceDirect
Por um escritor misterioso
Last updated 29 março 2025


PDF) In-Memory Computing for Machine Learning and Deep Learning

Analog in-memory acceleration for neural network inference. (a)

Compute-in-Memory Technologies and Architectures for Deep Learning Workloads

Analog acceleration of deep learning using phase-change memory - ScienceDirect

Analog acceleration of deep learning using phase-change memory - ScienceDirect

BNN An Ideal Architecture for Acceleration With Resistive in Memory Computation

Accurate deep neural network inference using computational phase-change memory

A survey on processing-in-memory techniques: Advances and challenges - ScienceDirect

Photonics for artificial intelligence and neuromorphic computing

Experimental Demonstration of Supervised Learning in Spiking Neural Networks with Phase-Change Memory Synapses

Compute-in-Memory Technologies and Architectures for Deep Learning Workloads

Integration and Co-design of Memristive Devices and Algorithms for Artificial Intelligence - ScienceDirect

Accelerating Deep Neural Networks with Analog Memory Devices
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