How to improve the performance of CNN architectures for inference tasks. How to reduce computing, memory, and bandwidth requirements of next-generation inferencing applications. This article presents ...
A new technical paper titled “LightNorm: Area and Energy-Efficient Batch Normalization Hardware for On-Device DNN Training” was published by researchers at DGIST (Daegu Gyeongbuk Institute of Science ...
Researchers in China have created a dataset of various PV faults and normalized it to accommodate different array sizes and typologies. After testing the new approach in combination with the 1D-CNN ...
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