A factory is inherently made of moving parts in the form of process nodes. Led by complex statistical means and process-engineering expertise, a new set of models based on reinforcement learning and other deep-learning networks has the ability to transform factory optimization. Reinforcing agents in a factory environment allow for generative improvements in control and design, while maintaining predefined product-performance specifications. Examples of how this is being explored in Nanotronics’ labs and with partners will be presented, along with ideas of where the future for artificially intelligent factories is headed.
Julie Orlando began working for Nanotronics’ cofounders Matthew and John Putman at their previous company, Tech Pro, Inc. where she played a key role in hardware development, sales, and customer service. When Roper Industries acquired Tech Pro in 2008, Orlando went on to run a division of Duramax, leading projects for major industrial entities, defense contractors, and branches of the military. Orlando joined Nanotronics as employee number three, where she currently holds the position of Chief Product Officer. Orlando has published several papers in both domestic and international journals, which she has presented at material science conferences and symposia.