Enhancing Efficiency and Driving Innovation in the Semiconductor Industry through Artificial Intelligence Applications
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 15 November 2024 | Viewed by 178
Special Issue Editors
Interests: network reliability; scheduling problem; cloud computing management; SSO and soft computing; data mining
Special Issues, Collections and Topics in MDPI journals
Interests: computational intelligence; electronics and communication
Interests: omplex industrial process detection; image analysis and multi-dimensional perception; smart operation; skill learning; artificial intelligent-related theoretical research and application
Special Issue Information
Dear Colleagues,
This Special Issue, entitled "Intelligent Semiconductors", delves into the transformative impact of Artificial Intelligence (AI) on the semiconductor industry, a critical driver of technological advancement across various sectors such as computing, telecommunications, healthcare, and the automotive industry. As these industries face increasing demands for efficiency, precision, and miniaturization, AI has emerged as an essential tool for enhancing the design, manufacturing, testing, and deployment of semiconductors. This issue aims to showcase cutting-edge research, case studies, and practical applications that demonstrate the integration of AI in optimizing semiconductor processes, from design and simulation to defect detection and quality control. It also explores AI-driven solutions for supply chain optimization, energy efficiency, and emerging technologies like quantum computing and flexible electronics. By fostering a dialogue among researchers, practitioners, and industry professionals, this Special Issue seeks to provide a comprehensive overview of current advancements, address challenges, and outline future research directions at the intersection of AI and semiconductor technology. Contributions from diverse disciplines are encouraged, reflecting the interdisciplinary nature of this evolving field and highlighting the potential of AI to drive innovation and efficiency in the semiconductor industry.
Prof. Dr. Wei-Chang Yeh
Prof. Dr. Siddhartha Bhattacharyya
Dr. Wenbo Zhu
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. 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 (AI)
- semiconductor technology
- computing
- telecommunications
- healthcare
- automotive industry
