US Patent:
20190228327, Jul 25, 2019
Inventors:
- Armonk NY, US
- Jacksonville FL, US
Ramesh Natarajan - Pleasantville NY, US
Raya Horesh - North Salem NY, US
David Nahamoo - Great Neck NY, US
Christopher Wildsmith - Jacksonville FL, US
Michael Widman - Jacksonville FL, US
International Classification:
G06N 5/04
G06F 17/50
G05B 19/418
Abstract:
Methods and systems for determining control inputs to a manufacturing apparatus to manufacture a product are described. A processor may receive model data including initial state data indicating an initial state of an input material, a set of model control inputs, and target measurement data associated with a target product. The processor may learn a causal predictive model based on the target data. Each state of the causal predictive model may be based on an application of the model control inputs on a previous state of the causal predictive model. The processor may compare a final state of the causal predictive model with the target measurement data to determine a difference. The processor may determine, based on the difference, a set of control inputs to be assigned to one or more controls. The one or more controls may define a design of the manufacturing process of an end product.