Advances in AI Engineering: Exploring Machine Learning Applications
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 15 January 2025 | Viewed by 7534
Special Issue Editors
Interests: machine learning; materials informatics; AI-related engineering applications; data security; privacy-preserving machine learning, etc.
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning with multimodal data; materials informatics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
As we enter an era where artificial intelligence (AI) evolves from a supplementary tool to a primary catalyst for innovation across diverse scientific and industrial sectors, our foremost objective is to spotlight the inventive machine learning (ML) applications. We seek to accelerate diverse methods by which AI and ML are utilized to address intricate challenges, unlocking untapped potential in the process. Spanning a broad spectrum of subjects, it explores AI’s role not only in electronics but also various other industrial scenarios. We especially welcome submissions that demonstrate creative applications of AI techniques in problem-solving, predictive analysis, and the improvement of efficiency across various fields.
We are eager to publish both original research articles and reviews in this Special Issue. Areas of research may encompass, but are not limited to: AI applications, AI in industry, AI for electronics, AI for materials, AI for engineering, etc.
We look forward to receiving your contributions.
Prof. Dr. Quan Qian
Prof. Dr. Xing Wu
Guest Editors
Manuscript Submission Information
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Keywords
- AI applications
- AI in industry
- AI for electronic
- AI for materials
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