Symmetry and Its Applications in Deep Learning and Artificial Intelligence Methods

Dear Colleagues,

The study of symmetry plays a crucial role in advancing both theoretical and applied research in deep learning and artificial intelligence (AI). Symmetry concepts help enhance the efficiency and interpretability of AI models, enabling them to generalize better, reduce computational costs, and understand complex patterns more effectively. This Special Issue aims to explore innovative methods and applications where symmetry principles are integrated into deep learning and AI frameworks. We invite contributions that focus on the use of symmetry in various domains such as image recognition, natural language processing, reinforcement learning, and multi-agent systems. Papers should present novel algorithms, architectures, or case studies demonstrating how symmetry can improve model performance, robustness, or adaptability. We also encourage submissions discussing symmetry-based optimization techniques, symmetry-invariant architectures, and the role of symmetry in unsupervised and semi-supervised learning approaches. By bringing together diverse perspectives and cutting-edge research, this Special Issue will advance our understanding of how symmetry can be leveraged to create more powerful, scalable, and interpretable AI systems.

Dr. Sibo Qiao
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. Symmetry is an international peer-reviewed open access monthly 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.