#engineering2 articles

2 articles

AINeutralarXiv – CS AI · 6h ago0

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Knowledge-guided generative surrogate modeling for high-dimensional design optimization under scarce data

Researchers developed RBF-Gen, a new AI framework that combines limited experimental data with domain expertise to create more accurate surrogate models for engineering optimization. The method uses radial basis functions and generator networks to address data scarcity challenges in mechanical design and manufacturing processes.

AIBullisharXiv – CS AI · 6h ago1

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GENAI WORKBENCH: AI-Assisted Analysis and Synthesis of Engineering Systems from Multimodal Engineering Data

Researchers present the GenAI Workbench, a Model-Based Systems Engineering framework that integrates AI-assisted analysis into engineering design workflows. The system uses vision-language models to automatically extract requirements from documents and generate system architectures, aiming to bridge the gap between system-level requirements and detailed component design.