Methods and apparatus for machine learning predictions of manufacture processes

This invention describes a computer system that takes a digital design of a physical object. It analyzes specific geometric characteristics of that design, such as its volume, surface area, and the orientation of its surfaces. Using these detailed measurements, the system then employs machine learning models to predict aspects of how the object will be manufactured.

Why it matters: Filed before the widespread adoption of more sophisticated machine learning architectures and readily available computational resources for training complex models. Advances in data processing for additive manufacturing also make data acquisition easier.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, machine learning models, CAD processing

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