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Guest Editorial: Special Section on Approximate Data Processing: Computing, Storage and Applications
DOI:10.1109/TETC.2024.3488452.png)
摘要
En
期刊
IF:
5.4
论文数:
1.1K
被引数:
3.4K
机构
引用论文
CiM-BNN:Computing-in-MRAM Architecture for Stochastic Computing Based Bayesian Neural NetworkCim-bnn: 基于贝叶斯神经网络的随机计算的MRAM计算体系结构
Extremely Energy-Efficient Non-Linear Function Approximation Framework Using Stochastic Superconductor Devices使用随机超导体设备的极高能效非线性函数逼近框架

