Advances and Applications of Generative AI: Bridging Theory and Practice

Dear Colleagues,

The realm of generative artificial intelligence (AI) represents one of the most dynamic and rapidly evolving frontiers in technology today. With its foundation in deep learning and neural networks, generative AI has transcended theoretical exploration, embedding itself in the fabric of multiple sectors. These technologies not only enhance existing applications, but also create unprecedented opportunities in domains such as digital content creation, personalized medicine, autonomous systems, and beyond. This Special Issue of Applied Sciences aims to showcase cutting-edge research, dissect ethical dilemmas, and demonstrate practical implementations of generative AI, fostering a deeper understanding of its capabilities and limitations.

The potential of generative AI to transform industries by automating creativity and decision-making processes invites both excitement and scrutiny. Innovations in this field are rapidly advancing, enabling machines to generate realistic images, compose music, simulate environments, and even write textual content with remarkable proficiency. However, as these capabilities grow, so too does the need for the rigorous examination of the social, ethical, and technical challenges they present. This Special Issue seeks contributions that not only advance the technological framework, but also engage critically with the broader implications of generative technologies, ensuring a responsible trajectory of development.

To cultivate a comprehensive narrative on generative AI, this Special Issue will gather insights from a diverse array of disciplines and sectors. We invite researchers, engineers, and industry professionals to contribute their findings and experiences, ranging from theoretical advancements to empirical studies and from ethical analyses to regulatory considerations. Through a collaborative and interdisciplinary approach, this publication aims to not only track the progress of generative AI, but also guide its future in a manner that maximizes the benefits while mitigating the risks. Contributions that explore the integration of generative AI with other areas of artificial intelligence, such as reinforcement learning and predictive analytics, are particularly encouraged. This Issue will serve as a platform for discussing how generative AI can be developed and utilized while maintaining a commitment to societal welfare and ethical standards.

Topics of Interest:

We welcome submissions concerning a variety of topics related to generative AI, including, but not limited to, the following:

• Novel algorithms and architectures for generative models (e.g., GANs, VAEs, diffusion models);
• Applications of generative AI in healthcare, automotive, robotics, entertainment, and other industries;
• Ethical considerations, bias mitigation, and fairness in generative AI;
• Integration of generative AI with other AI technologies like reinforcement learning and supervised learning;
• Improvements in the efficiency, scalability, and robustness of generative models;
• Advances in text, image, audio, and video generation;
• Regulatory and policy frameworks relevant to generative AI;
• Economic impacts and business models enabled by generative AI technologies;
• Case studies and real-world implementations of generative AI systems.

Dr. Samuel Cheng
Guest Editor

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. Applied Sciences 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.

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