Industrial Improvement with AI in Applied Mathematics

Dear Colleagues,

The intelligent industry, also called Industry 4.0, has developed rapidly in recent years, demonstrating significant general capabilities across various domains with the expansion of AI. For example, Generated AI (GAI) has become a research hotspot in question answering (QA) of domain knowledge in industry, since AI has shown strong speech and action recognition abilities pertaining to industrial behavior. However, issues such as response trustworthiness and understanding caused by cognitive biases and knowledge deficiencies hinder its widespread application.

Thus, this Special Issue is proposed to determine a way to use applied mathematics, including probability theory, mathematical statistics, combinatorics, and set theory, to enhance AI’s response stability and mitigate cognitive hallucinations, which can increase potential future applications of the intelligent industry.

Therefore, this Special Issue aims to provide an opportunity for researchers to publish their theoretical and technological studies with AI in applied mathematics, as well as novel engineering applications for the intelligent industry.

Prof. Dr. Shuai Liu
Guest Editor

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