PriMera Scientific Engineering (ISSN: 2834-2550)

Research Article

Volume 3 Issue 3

Artificial Intelligence's Creative Potential in Art

Akhil Pandey, Vishal Shrivastava and Sangeeta Sharma*

August 29, 2023

Abstract

Especially new tendencies in the area of synthetic focus are dynamic in that they exchange the house of expression. Programs based totally on simulated brain are hastily turning into famous in areas such as technology, music, human expression, and science. A new close-up of Christie's Edmund portrait adjustments our modern-day appreciation of the science of synthetic talent and raises questions about the creativeness related with technology. Can craft be seen as resourceful?” Against this background, this lookup makes use of a range of AI functions and modifications the point of view on AI craft and the manufacturing cycle of AI craft to create synthetic intelligence. Show that it is achievable Innovative imagination.

Keywords: Artificial intelligence-generated art; computational creativity; machine learning

References

  1. Hong J and Curran NM. “Artificial Intelligence, Artists, and Art: Attitudes Toward Artwork Produced by Humans vs. Artificial Intelligence”. ACM Trans. Multimed. Comput. Commun. Appl 15 (2019): 58.
  2. McCarthy J. “What Is Artificial Intelligence?”. How Does AI Work? (2020).
  3. Ali M. “The Human Intelligence vs. Artificial Intelligence: Issues and Challenges in Computer Assisted Language Learning”. Int. J. Engl. Linguist 8 (2020): 259.
  4. Goodfellow I, Bengio Y and Courville A. “Deep Learning”. MIT Press: Cambridge, UK (2016).
  5. Elgammal A., et al. “ CAN: Creative Adversarial Networks, Generating “Art” by Learning about Styles and Deviating from Style Norms”. Cornell University: Ithaca, NY, USA (2017).
  6. Elgammal A. What the Art World Is Failing to Grasp about Christie’s AI Portrait Coup (2018).
  7. Sawyer RK. Explaining Creativity: The Science of Human Innovation; Oxford University Press: New York, NY, USA (2014).
  8. Boden MA. “The Creative Mind: Myths and Mechanisms”. Psychology Press: London, UK (2004).
  9. Regan M. “Generative Adversarial Networks & The Art Market”. Ph.D. Thesis, State University of New York, New York, NY, USA (2018).
  10. Kurt DE. “Artistic Creativity in Artificial Intelligence”. Ph.D. Thesis, Radboud University, Nijmegen, The Netherlands (2018).
  11. Cetinic E and She J. “Understanding and Creating Art with AI: Review and Outlook”. (2021): arXiv:2102.09109.