中文
The selection and operation of the award follow the principles of "high-end, internationalization, adhere to the concept of "pursuing excellence, lead specialization, marketization, and intelligence"
已具有7年基础，获得6项国家项目支持，产出论文20余篇，将响应国家自主可控号召继续深入
软件运维与演化（Software Operation and Evolution）
自主管理系统（Autonomous and Self-management System）
航空、航天、指控等特定领域自主无人系统。
MIICdgIBADANBgkqhkiG9w0BAQEFAASCAmAwggJcAgEAAoGBAK - 副本.docx
English language documentation files English language documentation files - 副本.docx
Artificial Intelligence, abbreviated as AI, is a crucial driving force behind the new wave of scientific and technological revolution as well as industrial transformation. It constitutes a novel technical science dedicated to researching and developing theories, methods, technologies, and application systems aimed at simulating, extending, and expanding human intelligence.
As a significant component of intelligence studies, AI seeks to understand the nature of intelligence and create intelligent machines capable of responding in ways similar to human intelligence.
It is an exceptionally broad scientific field encompassing robotics, speech recognition, image recognition, natural language processing, expert systems, machine learning, computer vision, and more.
However, the governance challenges posed by large-scale AI models cannot be overlooked. As Elon Musk pointed out, beneath the mask of machine learning, the essence of AI remains rooted in statistics. To foster a healthy innovation ecosystem, it is essential to conduct forward-looking research and establish sound laws, regulations, institutional frameworks, and ethical guidelines to ensure the responsible development of AI.
Looking ahead, while emphasizing risk prevention, it is equally important to simultaneously establish mechanisms for error tolerance and correction, striving to achieve a dynamic balance between regulation and development.
