A comprehensive review of recent advances and future prospects of generative AI
Jyoti Guptajyoti.gupta@bharatividyapeeth.eduDepartment of Electronics and Communication EngineeringBharati Vidyapeeth’s College of EngineeringPaschim Vihar, New Delhi, 110063, IndiaView full profile → , *Monica BhutaniCorresponding authormonica.bhutani@bharatividyapeeth.eduDepartment of Electronics and Communication EngineeringBharati Vidyapeeth’s College of EngineeringPaschim Vihar, New Delhi, 110063, IndiaView full profile → , Pramod KumarPramod.gill1@gmail.comDepartment of Computer Science and EngineeringGanga Institute of Technology and ManagementBahadurgarh, Haryana, India0009-0001-0700-4253View full profile → , Mahesh Kumarmahesh.kumar1@bharatividyapeeth.eduDepartment of Information Technology EngineeringBharati Vidyapeeth’s College of EngineeringPaschim Vihar, New Delhi, 110063, India0009-0004-0560-111XView full profile → , Nisha Malhotranisha.malhotra@bharatividyapeeth.eduDepartment of Information Technology EngineeringBharati Vidyapeeth’s College of EngineeringPaschim Vihar, New Delhi, 110063, IndiaView full profile → , Payal Malikpayal.malik@bharatividyapeeth.eduDepartment of Information Technology EngineeringBharati Vidyapeeth’s College of EngineeringPaschim Vihar, New Delhi, 110063, IndiaView full profile → , Kajal Kaulkajal.kaul@bharatividyapeeth.eduDepartment of Information Technology EngineeringBharati Vidyapeeth’s College of EngineeringPaschim Vihar, New Delhi, 110063, IndiaView full profile →
* Corresponding author · click or hover a name for details
- Received:
- 07 Aug 2024
- Published Online:
- 19 Feb 2025
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JIOS-1864
- Pages:
- 205–211
Abstract
Keywords
Subject Classifications
References
[1] Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., and Bengio, Y., “Generative adversarial nets,” in Advances in Neural Information Processing Systems, pp. 2672-2680 (2014).
[2] A. Kapoor, S. Gupta, and J. Singh, “Applications of generative adversarial networks in healthcare: A comprehensive survey,” IEEE Access, vol. 11, pp. 12356–12370 (2023). doi: 10.1109/ACCESS.2023.3241236.
[3] M. Taylor, Y. Zhang, and S. Huang, “Generative AI in finance: Automated fraud detection and risk assessment,” IEEE Trans. FinTech, vol. 2, no. 1, pp. 45–57 (Mar. 2023). doi: 10.1109/TFT.2023.3285569.
[4] Kingma, D. P., and Welling, M., “Auto-encoding variational Bayes,” arXiv preprint arXiv:1312.6114 (2013).
[5] LeCun, Y., Bengio, Y., and Hinton, G., “Deep learning,” Nature, vol. 521, no. 7553, pp. 436-444 (2015).
[6] Buolamwini, J., and Gebru, T., “Gender shades: Intersectional accuracy disparities in commercial gender classification,” in Proceedings of the 1st Conference on Fairness, Accountability and Transparency, pp. 77-91 (2018).
[7] Ribeiro, M. T., Singh, S., and Guestrin, C., “Why should I trust you?: Explaining the predictions of any classifier,” in Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1135-1144 (2016).
[8] Dinh, L., Sohl-Dickstein, J., and Bengio, S., “Density estimation using real NVP,” arXiv preprint arXiv:1605.08803 (2016).
[9] J. Ho, A. Jain, and P. Abbeel, “Denoising diffusion probabilistic models,” arXiv preprint arXiv:2006.11239 (2020).
[10] K. Patel, N. Verma, and R. Desai, “Multimodal generative AI for virtual reality applications,” IEEE Trans. Multimedia, vol. 25, no. 7, pp. 1582–1591 (July 2023). doi: 10.1109/TMM.2023.3288110.
[11] L. Roberts, J. Matthews, and H. Chen, “Advancements in generative AI for drug discovery and design,” IEEE Trans. Comput. Biol. Bioinform., vol. 20, no. 5, pp. 782–790 (May 2023). doi: 10.1109/TCBB.2023.3278123.
[12] R. S. Kumar and G. Singh, “Generative AI models for content generation and anomaly detection in smart manufacturing,” IEEE Access, vol. 11, pp. 23112–23124 (2023). doi: 10.1109/ACCESS.2023.3274928.
