This research examines the future of television work in light of the challenges posed by artificial intelligence (AI). The study aims to explore the impact of AI on the form and content of television messages and identify areas where AI can be employed in television production. This study adopts a future-oriented exploratory approach, utilizing survey methodology. As the research focuses on for…
Deep learning–based clinical imaging analysis underlies diagnostic artificial intelligence (AI) models, which can match or even exceed the performance of clinical experts, having the potential to revolutionize clinical practice. A wide variety of automated machine learning (autoML) platforms lower the technical barrier to entry to deep learning, extending AI capabilities to clinicians with li…
We derive a conceptual bridge between technical concepts from the deep learning literature and natural metaphors for international development. We start with a rather technical review of four of the characteristic traits of deep learning technologies: representation, reuse, robustness, regularization (4Rs of deep learning). Based on the empirical evidence of 24 case studies, we derive four char…