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Abstract Mechanical product design integrates functional reasoning, geometric modelling, assembly planning, and engineering validation, yet remains highly dependent on human expertise. Existing large language models lack the spatial reasoning and physical constraint awareness required for engineering-grade design, whereas task-specific neural networks perform well in localised geometric recognition but are restricted to narrowly defined and repetitive tasks.
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.