Restructuring the Landscape of Generative AI Research
Salaheldin Mohamed Ibrahim Edam
Abstract:This Chapter delves into the impact of generative AI on academic research and publishing, discussing various architectures such as Mixture of Experts (MoE), Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Generative Pre-trained Transformers (GPT). The research explores the increase of AI-centered preprints, their effects on peer review, and the ethical considerations linked to them. The peer-review system's integrity is under examination, focusing on challenges related to AI, misus… Show more
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