Julio Coppo, VP of Sales and Strategic Business Development |Topic: Reinforcement Factories
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.