AI agents create value through a variety of levers. Agents may increase quality, reduce costs, increase throughput, or do all the above and more. The value that an AI agent…
Industry 4.0, or the fourth industrial revolution, mostly refers to the shift to a new kind of smart factories and manufacturing end-to-end processes. They leverage a slew of new technologies…
In my last article, I showed you what happens in the second phase of a Bonsai project: Delivery and real-world trials. This included building a simulated environment, training, and validating…
Process manufacturing is susceptible to what is usually referred to as specification drift or spec drift. Whether the process uses extruders, chemical vats, or any other continuous process, control and…
As discussed in previous articles, here and here in particular, Deep Reinforcement Learning (DRL) trained AI agents can help optimize manufacturing processes across different manufacturing challenges aspects. In addition…
Every Autonomous System (AS) project built using the Microsoft Project Bonsai AI toolchain (or any other tool) will comprise the same core set of components. Whether the goal is to…