Symmetries in Machine Learning and Artificial Intelligence
A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".
Deadline for manuscript submissions: 31 May 2026 | Viewed by 56
Special Issue Editors
Interests: big data analytics; blockchain technology; machine learning; AI
2. Dalle Molle Institute for Artificial Intelligence, University of Applied Sciences and Arts of Southern Switzerland, 6928 Manno, Switzerland
Interests: resilient cyber‒physical systems; trustworthy artificial intelligence; trustworthy autonomous systems; data science
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Symmetries are crucial in Machine Learning (ML) and Artificial Intelligence (AI), improving model efficiency and generalization. Symmetries in data and models, such as rotational, translational, or scale invariance, allow algorithms to identify patterns regardless of orientation or scale. By incorporating symmetry, AI models prioritize important features, reducing complexity and improving performance. Symmetries are essential in various domains, including image recognition, speech processing, natural language processing, robotics, computer vision, reinforcement learning, neural networks, optimization, pattern recognition, and data mining. Convolutional neural networks (CNNs) utilize spatial invariance for object detection, leading to faster and more accurate results. Understanding symmetry is key to creating efficient, scalable, robust ML and AI systems.
Dr. Rajesh Natarajan
Prof. Dr. Francesco Flammini
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. 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.
Keywords
- symmetries
- machine learning (ML)
- artificial intelligence (AI)
- model efficiency
- generalization
- pattern recognition
- feature prioritization
- complexity reduction
- performance improvement
- image recognition
- speech processing
- natural language processing (NLP)
- robotics
- computer vision
- convolutional neural networks (CNNs)
- object detection
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