AI-Driven Synthesis for High-Tech System Design: Automating Innovation

• URL: http://arxiv.org/abs/2606.28126v1
• Date: Fri, 26 Jun 2026 14:26:48 GMT
• Title: AI-Driven Synthesis for High-Tech System Design: Automating Innovation
• Abstract summary: This article addresses the complexity inherent in modern high-tech system design by presenting automation-in-design (AiD) as a transformative paradigm.<n>We propose computational design synthesis (CDS), a framework utilising deep learning and generative AI to automate the creation of novel systems.
• Score: 1.1470070927586018
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: 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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