Demonstration of an AI system model for variable control of industrial machines

The goal of this demonstration is to show how to use sequential AI models for more accurate and precise control of machines such as high-temperature furnaces. Control of industrial systems to achieve desired values is typically done via PID or similar algorithms from control theory. Although such a simple algorithm has been showing good results for a long time, the recent development of sequential neural networks for processing human language and speech has enabled the development of better control.