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07/18/2023
Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and Inference
Analog In-Memory Computing (AIMC) is a promising approach to reduce the ...
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05/15/2022
Effect of Batch Normalization on Noise Resistant Property of Deep Learning Models
The fast execution speed and energy efficiency of analog hardware has ma...
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05/07/2022
Impact of L1 Batch Normalization on Analog Noise Resistant Property of Deep Learning Models
Analog hardware has become a popular choice for machine learning on reso...
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11/24/2020
Benchmarking Inference Performance of Deep Learning Models on Analog Devices
Analog hardware implemented deep learning models are promising for compu...
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05/10/2020
