Review Article Open Access

A Survey of Generative AI Applications

Roberto Gozalo-Brizuela1 and Eduardo Eduardo Garrido Merchan1
  • 1 Department of Quantitative Methods, Universidad Pontificia Comillas, Madrid, Spain

Abstract

Generative AI has experienced remarkable growth in recent years, leading to a wide array of applications across diverse domains. In this study, we present a comprehensive survey of more than 350 generative AI applications, providing a structured taxonomy and concise descriptions of various unimodal and even multimodal generative AIs. The survey is organized into sections, covering a wide range of unimodal generative AI applications such as text (ChatGPT or Bard), images (DALL-E 3 or Midjourney), video (Colossyan AI and Synthesia AI), gaming (CSM and ConvAI) and brain (Meta’s speech from brain) information. Our survey provides an updated outlook of the generative AGI landscape, giving several examples of each technology, something not achieved in a paper before to our knowledge. Other surveys have focused on reviewing the impact of generative on different industries while not diving deep into which technologies or models to use. A thorough web and industry analysis was conducted to get examples for each of the sections. Ethical considerations were followed for the composition of this study.

Journal of Computer Science
Volume 20 No. 8, 2024, 801-818

DOI: https://doi.org/10.3844/jcssp.2024.801.818

Submitted On: 22 September 2023 Published On: 24 May 2024

How to Cite: Gozalo-Brizuela, R. & Merchan, E. E. G. (2024). A Survey of Generative AI Applications. Journal of Computer Science, 20(8), 801-818. https://doi.org/10.3844/jcssp.2024.801.818

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Keywords

  • Artificial Intelligence
  • AI
  • Generative AI
  • Machine Learning and Deep Learning