This book serves as an introductory AI textbook for intelligent manufacturing-related disciplines. Organized into nine chapters, it establishes a robust framework integrating foundational theories with representative applications, covering concise mathematical fundamentals, core algorithmic architectures, and practical case studies. Co-authored by experts in intelligent manufacturing and artificial intelligence, it ensures scientific rigor aligned with AI principles while emphasizing application-driven knowledge tailored to intelligent manufacturing contexts. Case studies from the manufacturing domain further enhance its practicality. Designed as a course textbook, it is suitable for undergraduates in intelligent manufacturing, mechanical engineering, materials science, electrical engineering, electronic information science, and related fields seeking to study AI within a manufacturing-oriented framework.

Zhao Haiyan is a tenured professor and doctoral supervisor in the Department of Mechanical Engineering at Tsinghua University. His research focuses on theoretical and methodological advancements in modeling and simulating forming manufacturing processes, as well as applications of artificial intelligence in advanced manufacturing technologies.