Generative AI and Its Transformative Potential, 2nd Edition
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 15 December 2025 | Viewed by 72
Special Issue Editors
Interests: information systems and technologies; business intelligence; big data; intelligent software agents; machine learning; data mining; multi-criteria decision making; fuzzy sets
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; computational intelligence; pattern recognition
Special Issues, Collections and Topics in MDPI journals
Interests: computer education; artificial intelligence; software engineering
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, rapid advances in generative artificial intelligence (AI) have promised to revolutionize various operational processes. Generative AI algorithms and techniques, based on deep learning and machine learning models, have already revealed their capacity to streamline routine tasks, generate new content and foster creativity. This Special Issue aims to explore the transformative potential of generative AI across different scientific areas and sectors of industry.
Generative AI offers new opportunities for innovation, automation and problem-solving. This novel technology can be employed in manufacturing to simplify the process of configuring new products, thereby reducing the complexity and time required for design. In quality management, generative models can synthesize large volumes of labeled data, aiding in the development of training datasets for machine learning algorithms and enhancing data-driven decision-making.
This Special Issue invites researchers and practitioners from the field of artificial intelligence to contribute original and unpublished work on generative AI and its creative capabilities. The Special Issue seeks to address key challenges and explore the novel implementation of generative AI in various areas, including, but not limited to, natural language processing, computer vision, generative design, data synthesis and augmentation, autonomous systems, healthcare and medical applications, legal domain, education, the energy sector and tourism.
Computer scientists are encouraged to submit original research papers, reviews and case studies that contribute to our understanding and advancement of generative AI and its technological implementation. This Special Issue aims to provide an interdisciplinary platform for the dissemination of ideas that could shape the future of generative AI and its impact on various domains.
Prof. Dr. Galina Ilieva
Prof. Dr. George A. Tsihrintzis
Prof. Dr. Maria Virvou
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- artificial intelligence (AI)
- generative AI
- generative models
- deep learning
- transformer-based machine learning
- large language models (LLMs)
- natural language processing (NLP)
- foundation models
- AI-driven automation
- trust in AI-infused systems
- validation and evaluation of AI-infused systems
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