用AI自动设计高科技系统，减少人工干预。
AI-Driven Synthesis for High-Tech System Design: Automating Innovation
- 用深度学习和生成式AI自动生成新系统架构。
- 两个案例验证了自动化设计的有效性。
- 适合追求高效创新的工程研发团队。
本文针对现代高科技系统设计中的组合复杂性问题，提出自动化设计（AiD）这一变革性范式。我们构建了计算设计合成（CDS）框架，利用深度学习与生成式AI实现新型系统的自动化创建。通过电驱动系统设计和空间维度规划两个案例研究，验证了该方法的可行性。这些AI驱动的设计方法标志着工程实践的根本转变，从依赖仿真的优化转向在极低人工干预下实现自主设计。
原文摘要 · Abstract (English)
This article addresses the combinatorial complexity inherent in modern high-tech system design by presenting automation-in-design (AiD) as a transformative paradigm. We propose computational design synthesis (CDS), a framework utilising deep learning and generative AI to automate the creation of novel systems. Two case studies (e-drive system design and spatial dimensioning problem) serve as proof-points for this approach. The AI-driven methods used in the case studies represent a fundamental shift in engineering, advancing from simulation-based optimisation towards autonomous design with minimal human supervision.
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