You are currently viewing a new version of our website. To view the old version click .

Recent Advances in Hybrid Artificial Intelligence

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

Special Issue Information

Dear Colleagues,

Hybrid artificial intelligence (AI) is a field that seeks to synergize the best aspects of neural networks and other domain techniques, such as symbolic AI and human knowledge. The hybrid AI model not only utilizes neural networks' ability to extract patterns from massive data sets, but also incorporates symbolic AI techniques and human knowledge to overcome the limitations of neural networks. By combining the strengths of different approaches, hybrid AI is expected to address the most challenging problems in the field by capturing, mapping, structuring, and delivering knowledge or data in an understandable, readable, and "machine-retrievable" format.

This Special Issue aims to highlight the recent advances in hybrid AI, including both developments in individual domains and innovative hybrid AI techniques that incorporate domain knowledge or symbolic AI from both theoretical and practical perspectives. We welcome original research papers and comprehensive literature reviews that provide unique scientific insights into the topic. We encourage submissions that showcase hybrid AI's potential to transform various domains, including healthcare, finance, engineering, etc. Furthermore, this Special Issue aims to foster discussions and collaborations among researchers and practitioners to push the boundaries of hybrid AI further and accelerate its applications in real-world scenarios. We welcome papers that present innovative applications of hybrid AI in industry or academia, as well as those that demonstrate the scalability, interpretability, and generalization of hybrid AI models. Ultimately, we believe that this Special Issue will provide a platform for researchers to exchange ideas, share best practices, and shape the future of hybrid AI.

Dr. Ruibin Feng
Dr. Hongming Shan
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. 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.

Keywords

  • hybrid AI
  • machine learning
  • deep learning
  • neural networks
  • nature intelligence
  • domain knowledge
  • data analysis
  • pattern recognition
  • symbolic AI
  • interpretable AI
  • generalizable AI
  • scalable AI

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Published Papers

Get Alerted

Add your email address to receive forthcoming issues of this journal.

XFacebookLinkedIn
Appl. Sci. - ISSN 2076-3417