人工智能发展下的嵌入式系统教学与人才培养探索

Exploration of Teaching and Talent Cultivation in Embedded Systems under the Development of Artificial Intelligence

摘要: 人工智能飞速发展必然带动嵌入式系统的发展。人工智能与嵌入式系统的融合的人才有哪些特点，该如何培养是当前高校所面临的问题。本文分析了人工智能与嵌入式系统的融合人才的特点：系统优化思想、具备神经网络新知识、交叉学科创新、跨学科自学等。再针对这些特点，提出了建议的新课程体系和一些可行的培养方法。

Abstract: The rapid advancement of artificial intelligence is bound to drive the development of embedded systems. What are the characteristics of talents integrating artificial intelligence and embedded systems, and how to cultivate such talents has become a challenge for higher education institutions. This paper analyzes the characteristics of talents needed for the integration of artificial intelligence and embedded systems, including systems optimization thinking, knowledge of neural networks, interdisciplinary innovation, and cross-disciplinary self-learning. Based on these characteristics, a proposed new curriculum system and some feasible cultivation methods are suggested.