Overview
The journal Entropy is inviting submissions for a Special Issue focused on the intersection of Information Theory and Artificial Intelligence. This initiative aims to gather significant contributions that explore how information theory can enhance AI methodologies and applications. The Special Issue presents a valuable opportunity for researchers to disseminate their findings and insights in this rapidly evolving field.
Background & Relevance
Information theory plays a crucial role in understanding the fundamental limits of data processing and communication, which are essential components in the development of AI systems. By applying concepts from information theory, researchers can improve model efficiency, enhance data representation, and optimize learning algorithms. This Special Issue aims to bridge theoretical insights with practical applications, fostering a deeper understanding of how these two domains can influence each other.
Key Details
- Submission Deadline: 30 November 2025
- Journal: Entropy
- Scope: Information Theory in Artificial Intelligence
- Submission Link: Entropy Special Issue
Eligibility & Participation
This call for papers is open to researchers, academics, and practitioners in the fields of information theory, artificial intelligence, and related disciplines. Contributions can be in the form of review articles or full research papers, making this an inclusive opportunity for a wide range of scholarly work.
Submission or Application Guidelines
- Prepare your manuscript according to the journal’s guidelines, available on the Entropy website.
- Submit your paper through the provided link before the deadline.
- If additional time is required for submission, contact the Guest Editor for possible extensions.
More Information
The integration of information theory into AI research is increasingly recognized as vital for advancing the field. This Special Issue will not only highlight current research but also encourage innovative approaches that leverage information theory principles to solve complex AI challenges. Engaging with this topic can significantly contribute to the ongoing discourse in both theoretical and applied AI.
Conclusion
Researchers are encouraged to consider this opportunity to contribute to the Special Issue on Information Theory in Artificial Intelligence. By submitting your work, you can play a part in shaping the future of AI research. For further inquiries or clarifications, please reach out to the Guest Editor, Dr. Marco Piangerelli. Explore this chance to share your insights and advance the field of AI.
Category: CFP & Deadlines
Tags: information theory, artificial intelligence, entropy journal, machine learning, research papers, open access, academic publishing, review articles, data science, AI applications
