When you envision the first Smart Factory what do you see? Where do you see it?
Nanotronics Artificial Intelligence Process Control (AIPC) uses AI to automate inspection and steer production pipelines.
The next step for Nanotronics is to take this platform technology and create an enabling infrastructure for industries to correct or adapt to industrial process anomalies in real time.
All AI platforms ingest data from multiple inputs in order to derive actionable insights or patterns. A sufficiently rich, well-labeled dataset is needed for machine learning to be effective at solving problems.
AIPC is not an answer to a single problem, but a platform for receiving, processing, and acting on information.
The AIPC factory, no longer a linear set of processes, becomes a network of simultaneously varying functions using the performance of the final output as a metric.
Looking at the extremities of a function for a solution can cause a locally prejudiced view, blind to inventive solutions. Sometimes, to solve a problem, we must zoom in very close and then zoom out very far.
Nanotronics’ R&D department is modeling a platform for AIPC that compares variations in a product as it moves through a manufacturing pipeline to the ideal template. A machine learning agent tracks degeneration in the product, and steers the creative process back toward an optimal end product.