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: Modern diffusion-based image generative models have made significant progress and become promising to enrich training data for the object detection task. However, the generation quality and ...

Adding context to data has been a goal for enterprise communications – especially in the customer experience – for over a decade. Data without context is fragmented, which means it cannot be used to ...

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 ...