AI大佬杨立昆：不要选择CS专业，EE等才是王道

Core Viewpoint - The article emphasizes the importance of foundational knowledge in mathematics and engineering for computer science students to adapt to technological changes, rather than solely focusing on popular technology courses [1][2]. Group 1: Importance of Foundational Knowledge - Yann LeCun advises computer science students to invest time in foundational courses such as mathematics, physics, and electrical engineering, rather than just the minimum required courses [1]. - LeCun highlights that understanding mathematical concepts like modeling and linear algebra is crucial for long-term benefits in the field [1][2]. - The article mentions that engineering disciplines often require more advanced mathematics, which can provide a better foundation for students pursuing careers in artificial intelligence [2]. Group 2: Skills for the Future - Key figures in the field, including Jeffrey Hinton, stress that skills such as mathematics, statistics, and critical thinking are essential to keep pace with advancements in artificial intelligence [2]. - LeCun humorously notes that he initially studied electrical engineering before transitioning to computer science, indicating the value of a diverse educational background [2]. - The article points out that while programming skills are necessary, they should be complemented by a solid understanding of computer science principles [3].