Information Industry and Intelligence Innovation

A special issue of Applied System Innovation (ISSN 2571-5577). This special issue belongs to the section "Artificial Intelligence".

Deadline for manuscript submissions: 30 May 2026 | Viewed by 26

Special Issue Editors


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Guest Editor
Department of Computer Science and Engineering, Tajen University, Yanpu Township, Pingtung County 907101, Taiwan
Interests: artificial intelligence; Internet of Things; learning technology

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Guest Editor
Department of Electrical Engineering, National Cheng Kung University, Tainan, Taiwan
Interests: artificial intelligence; VLSI design and application

Special Issue Information

Dear Colleagues,

As everyone knows, the information industry is entering a new era driven by digitalization, intellectualization, and innovation for its transformation. Emerging information technologies, including artificial intelligence, big data processing, cloud computing, blockchain, etc., are reshaping the structure of all industries and giving rise to new business models. In this context, “intelligent innovation”—a combination of technological breakthroughs, industrial applications, and human creativity—is a significant approach to promoting sustainable economic growth and enhance industrial competitiveness.

This Special Issue aims to provide an open platform for scholars, practitioners, and policymakers to exchange ideas, share research findings, and explore cutting-edge innovations at the intersection of the information industry and intelligent technologies. We encourage authors to submit original research articles that include crucial innovative concepts, methodologies, applications, trends, and knowledge in terms of intelligent innovation. In addition, review articles that present the current state of the art are also warmly welcomed.

The potential topics include, but are not limited to, the following:

  • Digital Transformation of Industries;
  • AI-Driven Innovation;
  • Big Data and Knowledge Intelligence;
  • Industry Internet;
  • Information and Intelligence;
  • Artificial Intelligence for Industry;
  • Intelligent Quality Control;
  • Smart Manufacturing;
  • Human–Computer Interaction;
  • Smart Robotics;
  • ESG computing for Manufacturing;
  • Next-generation Education;
  • Digital Twins for Industry;
  • Tiny Machine Learning.

Prof. Dr. Shih-Pang Tseng
Prof. Dr. Jhing-Fa Wang
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. Applied System Innovation 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 1600 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

  • digital transformation of industries
  • AI-driven innovation
  • big data and knowledge intelligence
  • industry internet
  • information and intelligence
  • artificial intelligence for industry
  • intelligent quality control
  • smart manufacturing
  • human–computer interaction
  • smart robotics
  • ESG computing for manufacturing
  • next-generation education
  • digital twins for industry
  • tiny machine learning

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Published Papers

This special issue is now open for submission.
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