Technology alone is no longer enough. Organizations face an unprecedented proliferation of tools, platforms and systems, each ...

Abstract: Notwithstanding the tremendous success of deep neural networks in a range of realms, previous studies have shown that these learning models are exposed to an inherent hazard called ...

Abstract: The high energy costs of neural network training and inference led to the use of acceleration hardware such as GPUs and TPUs. While such devices enable us to train large-scale neural ...