AI Automates High-Tech System Design, Shifting from Optimization to Synthesis.

A new paradigm called automation-in-design (AiD) is being introduced to tackle the intricate complexity inherent in modern high-tech system development. This approach advocates for computational design synthesis (CDS), a framework that harnesses the power of deep learning and generative AI to automate the creation of entirely new systems. The goal is to move beyond traditional simulation-based optimization towards a more autonomous design process. The paper provides two practical examples, an e-drive system design and a spatial dimensioning problem, to illustrate the effectiveness of this AI-driven methodology. These case studies serve as proof points, demonstrating a fundamental shift in engineering practices. Instead of relying heavily on human-supervised simulations for optimization, the proposed methods enable systems to autonomously generate designs with significantly reduced human intervention, potentially accelerating innovation cycles.