Overview of the application of artificial intelligence technology in the high-end instrumentation industry: exploration and practice in strategic emerging fields

Artificial intelligence (AI) technologies have become a driving force behind the digital and intelligent transformation of the high-end instrumentation industry. As this sector plays a critical role in strategic emerging fields such as aerospace, semiconductors, biomedicine, and new energy, the integration of AI addresses long-standing challenges in precision manufacturing, complex data management, and operational optimization. Major applications include intelligent sensing and data acquisition, automated inspection and quality control, intelligent modeling and simulation, data governance and knowledge mining, as well as intelligent service and maintenance management. Through the adoption of AI-driven solutions—such as deep learning-based defect detection, digital twin modeling, and autonomous data platforms—the industry has achieved significant improvements in production efficiency, reliability, and innovation capacity. These advances not only enhance the intelligence level of manufacturing systems but also accelerate the construction of secure, collaborative, and sustainable industrial ecosystems. Looking ahead, the development trend will focus on deeper integration of AI with domain-specific expertise, standardization of industrial data governance, and the creation of self-evolving intelligent instruments empowered by edge computing and federated learning, paving the way for a new generation of autonomous, adaptive, and value-driven instrumentation systems.