AI-driven synthesis for high-tech system design
The combinatorial complexity inherent in modern high-tech system design is addressed by presenting automation-in-design (AiD) as a transformative paradigm.
This Mikroniek article proposes 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. (Image courtesy of TU Eindhoven)
