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Feature Papers in Artificial Intelligence

This special issue belongs to the section “Artificial Intelligence“.

Special Issue Information

Dear Colleagues,

Artificial intelligence has revolutionized numerous aspects of our society. Foundation models and embodied intelligence are expanding the frontiers of AI research, and the convergence of AI with fundamental sciences has accelerated scientific discovery across disciplines. This feature paper Special Issue aims to showcase cutting-edge research that advances both the theoretical understanding and practical applications of AI technologies.

We welcome high-quality contributions spanning the full spectrum of AI research, from novel methodologies and theoretical frameworks to transformative applications. The scope also encompasses research on AI system development challenges, such as scaling approaches, low-cost deployment, system reliability, trustworthiness, and human–AI interaction paradigms. We also encourage submissions that bridge AI with other scientific fields, such as drug discovery and materials science. The topics of interest for this Special Issue, include but are not limited to, the following:

  • Machine learning;
  • Optimization and statistical learning;
  • Deep learning and neural networks;
  • Knowledge representation and reasoning;
  • Foundation models;
  • Autonomous systems and robotics;
  • AI for science;
  • AI for societal impact.

Prof. Dr. Xin Geng
Prof. Dr. George Papakostas
Prof. Dr. Fernando De la Prieta Pintado
Prof. Dr. Valentina E. Balas
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 250 words) can be sent to the Editorial Office for assessment.

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
  • machine learning
  • deep learning
  • neural networks
  • autonomous systems
  • robotics

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Published Papers

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Electronics - ISSN 2079-9292