As machine learning-enabled Text-to-Image (TTI) systems are becoming increasingly
prevalent and seeing growing adoption as commercial services, characterizing the social …

As machine learning-enabled Text-to-Image (TTI) systems are becoming increasingly
prevalent and seeing growing adoption as commercial services, characterizing the social …

Abstract Artificial General Intelligence (AGI) is set to profoundly impact the traditional
upstream geoenergy industry (ie, oil and gas industry) by introducing unprecedented …

The race to develop image generation models is intensifying, with a rapid increase in the
number of text-to-image models available. This is coupled with growing public awareness of …

Text-to-image generation models can reflect the underlying societal biases present in their
training data. However, userlevel interventions to encourage greater diversity in the output …

This article discusses the implications of multimodal artificial intelligence (AI), including
image generators such as DALL· E, for the traditional concept of ekphrasis. Using ekphrasis …

Purpose: Images are a core component of aphasia assessment and intervention that require
significant resources to produce or source. Text-to-image generation is an Artificial …

This paper explores generative AI images as new media through the central questions: What
do AI-generated images show, how does image generation (imagenesis) occur, and how …

The deep neural networks used in computer vision and in recent large language models are
widely recognized as black boxes, a term that describes their complicated architectures and …

Artificial General Intelligence (AGI) is set to profoundly impact the oil and gas industry by
introducing unprecedented efficiencies and innovations. This paper explores AGI's …