When you envision the future of industry what do you see? Where do you see it?

Nanotronics is opening its flagship manufacturing center in Building 20 in the Brooklyn Navy Yard.

In the BNY, companies like Nanotronics are building the waterways, tools, and shelters that will lay the groundwork for a new century of invention in New York.

Each of the sweeping changes of the first industrial revolution were prototyped in the factory.

Factories should be the ground floor of the next industrial revolution.

Before an electric lamp illuminated anyone’s home, the first electric grid was planned in Edison’s Pearl Street Station.

The transcontinental railroad laid rails to the West Coast for the transportation of goods and later, of passengers.

The railroad of today is made of infinitesimal tracks chemically etched into nano process layers of materials like GaN on Silicon. Each layer is a different, complex arrangement of growths and reliefs. The freight these devices transport is memory and direction.

Nanotronics began implementing Artificial Intelligence Process Control (AIPC) using AI to automate the 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, much like the convergence of a diverse population is needed for invention and evolution in the natural world.

Only populations evolve.

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.

If Nanotronics could pass down one particle of human knowledge to the next generation, it would be that creativity is a physical phenomenon.