Abstract: Text data augmentation is an effective strategy for overcoming the challenge of limited sample sizes in many natural language processing (NLP) tasks. This challenge is especially prominent ...

Abstract: The article proposes a method that solves the problem of hiding decimal numbers from unauthorized access while simultaneously detecting error packets in ...

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Artificial intelligence (AI), particularly deep learning models, are often considered black boxes because their decision-making processes remain difficult to interpret. These models can accurately ...

Proliferating AI is overloading our already overloaded power grids that are now buckling beneath skyrocketing computational demands to process all those bits and bytes so that we can have AI-generated ...